KR102382268B1 - Total management method and total management device for a plurality of devices - Google Patents

Abstract

According to an embodiment, an integrated management method for a plurality of logistics devices for implementing an automated logistics center in a city is provided. The method comprises the steps of: obtaining warehousing information including information on a location or an inventory status of a product from a warehousing device used for supply and storage of the product; obtaining pickup information for picking up a designated product determined based on a user input on the basis of the warehousing information; determining the classification of the pickup product to be picked up according to the pickup information based on a predetermined criterion; and determining a packaging or shipping method for the pickup product based on the classification. The present invention can provide the product quickly in response to a flexible product order situation of a user.

Description

Integrated management method and integrated management device for a plurality of logistics devices

Due to the nature of the urban distribution center built in the city, the introduction and control of highly intensive automated facilities is required, so integrated facility management is required. The present disclosure provides a method and a device for efficiently installing and integrating management it is about Specifically, the present disclosure relates to a method, device, and recording medium capable of providing products by performing integrated management of a plurality of logistics devices of a distribution center in a city center to quickly respond to a user's fluid product order situation.

As the industrial paradigm changes, the demand for technology that can overcome the physical limitations of the conventional logistics system and maximize productivity is increasing.

The conventional logistics system has been operating a large facility-based logistics center in the form of an automatic warehouse by utilizing the advantage of a large site since it is built in a transportation hub outside the city center. In this way, the worker picks the items ordered by the user using the equipment, packs them in parcel box units, and delivers them by courier or small truck. It usually takes 2-3 days for delivery, so the overall logistics are managed.

However, the prior art has disadvantages in that it is inefficient in overall logistics in terms of storage and delivery methods of goods, so it takes a long time for goods to be delivered to the user, and the operator manages the facilities that assist the logistics operation. Accordingly, the possibility of errors is high, and bottlenecks occur frequently depending on the order status in the overall logistics, which greatly reduces work efficiency.

Accordingly, in order to solve the above-mentioned problems and respond to consumer needs for faster delivery, there is a need for an implementation technology for an automated distribution center in the city for a quick distribution and logistics response in a short distance to the consumer.

Korea Patent No. 10-2095735 (2020.03.26), Area-based logistics system and distribution method using a freight car

The present disclosure may provide an integrated management method and an integrated management device for a plurality of distribution devices of an automated small distribution center (Micro Fulfillment Center) built in a city center. Specifically, a method, device, and recording medium that can provide products in response to a user's fluid product order situation by performing integrated management of a plurality of logistics devices that enable intensive storage and picking in a narrow urban space is initiated The technical problem to be solved is not limited to the technical problems as described above, and various technical problems may be further included within the scope obvious to those skilled in the art.

An integrated management method for a plurality of logistics devices according to a first aspect of the present disclosure includes: obtaining stocking information including information on the location or stock status of the product from a stocking device used for supply and storage of the product; acquiring pickup information for picking up a specified product determined on the basis of a user input based on the wearing information; determining a classification of a pickup product to be picked up according to the pickup information based on a preset criterion; and determining a packaging or delivery method for the pickup product based on the classification.

In addition, the method includes: obtaining inspection information for the pickup product to be picked up according to the pickup information; and determining whether to deliver the pickup product based on the inspection information.

In addition, the step of determining whether the delivery includes: determining whether the pickup product has passed the inspection standard based on the inspection information; determining a packaging method based on the classification when the pickup product has passed the inspection criteria; and outputting a message requesting to pack the pickup product according to the packaging method.

In addition, the step of determining whether to deliver may further include outputting a message requesting delivery of the pickup product according to the delivery method.

In addition, the method may include the steps of: determining a first number indicating the number of products that can be processed per unit time when a pickup device that picks up the specified product operates at a basic speed based on the pickup information; determining a second number indicating the number of products that can be processed per unit time when the classification device for classifying the pickup products operates at a basic speed; determining a third number indicating the number of products that can be processed per unit time when the inspection device for obtaining the inspection information operates at a basic speed; and determining the operating speeds of the pickup device, the sorting device, and the inspection device based on the first number, the second number, and the third number.

In addition, the first form information used in the wearing device, the second form information used in the pickup device, the third form information used in the sorting device, and the fourth form information used in the inspection device are used for integrated processing A method, which is converted and used into a unified format information that is

In addition, the determining of the operating speed may include the pickup device, the sorting device, and the inspection such that a difference between the first number and the second number or a difference between the second number and the third number is included within a preset range. You can determine the operating speed of the device.

In addition, the step of obtaining the inspection information includes: obtaining weight information for the pickup product; and obtaining image information for the pickup product.

In addition, the determining of whether to deliver may include: using the weight information, comparing a weight for the pickup product with an expected weight for the designated product; comparing the size of the pickup product and the expected size of the designated product by using the image information; and determining whether to deliver the product based on a comparison result of the weight to which a first weight is given and a result of comparison with respect to the size to which a second weight is assigned; and wherein the first weight is the second weight. can be larger

In addition, the determining of whether to deliver may include: using the weight information, comparing a weight for the pickup product with an expected weight for the designated product; recognizing a barcode of the pickup product by using the image information; and determining whether to deliver the product based on a result of comparing the weight to which a third weight has been applied and a result of recognizing the barcode to which a fourth weight has been given; and wherein the fourth weight is the third weight. can be larger

The integrated management device for a plurality of logistics devices according to the second aspect of the present disclosure includes: a receiving unit for obtaining wearing information including information about the location or stock status of the product from the wearing device used for supply and storage of the product; and acquiring pickup information for picking up a specified product determined based on a user input based on the wearing information, determining a classification of a pickup product to be picked up according to the pickup information based on a preset criterion, and based on the classification A processor for determining a packaging or delivery method for the pickup product; including, a device.

In addition, the processor may obtain inspection information for the pickup product to be picked up according to the pickup information, and determine whether to deliver the pickup product based on the inspection information.

In addition, the processor determines whether the pickup product has passed the inspection standard based on the inspection information, and if the pickup product passes the inspection criterion, determines a packaging method based on the classification, and the packaging Depending on the method, a message requesting to pack the pickup product may be output.

Also, the processor may output a message requesting delivery of the pickup product according to the delivery method.

In addition, the processor determines a first number indicating the number of products that can be processed per unit time when the pickup device that picks up the specified product operates at a basic speed based on the pickup information, and classifies the pickup product When the classification device operates at the basic speed, the second number indicating the number of products that can be processed per unit time is determined, and when the inspection device that obtains the inspection information operates at the basic speed, the number of products that can be processed per unit time It is possible to determine a third number indicating the number, and determine the operating speed of the pickup device, the sorting device, and the inspection device based on the first number, the second number, and the third number.

In addition, the first form information used in the wearing device, the second form information used in the pickup device, the third form information used in the sorting device, and the fourth form information used in the inspection device are used for integrated processing It can be used after being converted into integrated format information.

In addition, the processor determines the operating speed of the pickup device, the sorting device, and the inspection device so that the difference between the first number and the second number or the difference between the second number and the third number is within a preset range. can decide

In addition, the processor may obtain weight information on the pickup product, and obtain image information on the pickup product.

A third aspect of the present disclosure may provide a computer-readable recording medium recording a program for executing the method according to the first aspect on a computer. Alternatively, the fourth aspect of the present disclosure may provide a computer program stored in a recording medium to implement the method according to the first aspect.

According to one embodiment, by performing integrated management of a plurality of logistics devices used throughout the warehousing, pickup, inspection, packaging, and delivery of the logistics stage, it is possible to provide products by quickly responding to the user's fluid product order situation. there is.

In addition, it is possible to minimize the bottleneck that may occur in the overall logistics phase of warehousing, pickup, inspection, packaging, and delivery.

In addition, by providing information on the types, locations, and usage methods of a plurality of logistics devices, it is possible to provide overall analysis results on the selection, arrangement, movement, and control of more optimized automation facilities in the process of implementing an automation-based logistics center. there is.

The effect of the present disclosure is not limited to the above effect, but it should be understood to include all effects inferred from the configuration of the invention described in the detailed description or claims of the present disclosure.

1 is a diagram schematically illustrating the configuration of an integrated logistics management system 1000 for implementing an automated logistics center in a city center according to an embodiment.
Figure 2 is a schematic diagram showing an example of the configuration of the materials management device 100 according to an embodiment, Figure 3 is a plurality of logistics devices performed by the materials management device 100 according to an embodiment It is a flowchart showing an integrated management method.
4 to 8 are diagrams for explaining the configuration or operation of the wearing device 200, the pickup device 300, the sorting device 400, the inspection device 500, and the packaging device 600 according to an embodiment, respectively admit.
9 is a diagram for further explaining the configuration of the distribution management device 100 according to an embodiment.
10 is a diagram for further explaining an operation of providing a delivery process of the integrated logistics management system 1000 according to an embodiment.
11 to 17 are diagrams for explaining an operation in which the logistics management device 100 provides information on a plurality of logistics devices according to an embodiment.

Terms used in the embodiments are selected as currently widely used general terms as possible while considering functions in the present disclosure, but may vary according to intentions or precedents of those of ordinary skill in the art, emergence of new technologies, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the terms used in the present disclosure should be defined based on the meaning of the term and the contents of the present disclosure, rather than the simple name of the term.

In the entire specification, when a part “includes” a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, the “… wealth", "… The term “module” means a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present disclosure pertains can easily implement them. However, the present disclosure may be implemented in several different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings.

1 is a diagram schematically illustrating the configuration of an integrated logistics management system 1000 for implementing an automated logistics center in a city center according to an embodiment.

Referring to FIG. 1 , the integrated logistics management system 1000 may include a logistics management device 100 and a plurality of logistics devices.

In an embodiment, the logistics management device 100 corresponds to a computing device capable of performing integrated management for a plurality of logistics devices. For example, the logistics management device 100 may control a plurality of logistics devices implemented through an automated facility from an integrated point of view, and order information for products based on the stocking status of the products stocked in the logistics center , can manage integrated information including pickup information, classification information, inspection information, packaging information, and delivery information, thereby minimizing the bottleneck so that the product requested by the user can be quickly provided to the user. Logistics devices can be integrated.

In one embodiment, the logistics management device 100 may be implemented as a server such as a computer that operates through a computer program for realizing the functions described herein, and other devices (eg, server, terminal) through a network It may include all types of wired and wireless communication devices that can be connected to the . Here, the network may be configured through various communication networks such as wired and wireless, for example, a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN: wide area network). Network), etc., may be composed of various communication networks.

In an embodiment, the plurality of logistics devices may include at least one of a warehousing device 200 , a pickup device 300 , a sorting device 400 , an inspection device 500 , and a packaging device 600 .

In one embodiment, the wearing device 200 is a device that can be used for supply and storage of goods, for example, it may be implemented as a cube-shaped fully automatic storage, a semi-automatic storage in the form of a passage. In addition, the pickup device 300 is a device capable of picking up a designated product based on pickup information, for example, a pickup robot that picks up the product and transports it to a designated location, and a space where the operator is located through pickup. It may be implemented as a workstation that transports goods.

In addition, in one embodiment, the sorting device 400 is a device for classifying a pickup product, for example, an automatic transfer-type AGV multi-robot or sorter that performs transport, obstacle avoidance, self-charging function, etc. along with sorting. It can be implemented as a sorting facility. In addition, the inspection device 500 is a device for acquiring inspection information on the pickup product, for example, may be implemented as a vision camera automation facility, a conveyor automation facility for weight inspection, a barcode recognition automation facility, and the like. In addition, the packaging device 600 is a device capable of packaging a pickup product, and may be implemented as, for example, a statement input and automatic packaging facility, a pouch packaging facility, or a box taping facility.

More detailed embodiments of the wearing device 200 , the pickup device 300 , the sorting device 400 , the inspection device 500 , and the packaging device 600 will be described later in the section with respect to FIGS. 4 to 8 .

In one embodiment, each of the plurality of logistics devices may be understood as a concept collectively referring to one or more logistics devices related to each logistics step, for example, the wearing device 200 may include a plurality of wearing robots, For another example, it may include a management device (eg, an intermediate server) that manages a plurality of wearing robots under the control of the logistics management device 100 .

In addition, the integrated logistics management system 1000 for managing an automated logistics center in the city may further include other components in addition to the components shown in FIG. 1 . For example, the integrated logistics management system 1000 includes a user terminal 700 that transmits a user's order request for a product, a delivery link server 800 associated with delivery of a product to be delivered to the user, and a payment related to the product. It may further include a payment server (not shown) and the like. Alternatively, according to another embodiment, some of the components shown in FIG. 1 may be omitted.

Figure 2 is a schematic diagram showing an example of the configuration of the logistics management device 100 for implementing an automated logistics center in the city according to an embodiment, Figure 3 is by the logistics management device 100 according to an embodiment It is a flowchart showing an integrated management method for a plurality of logistics devices that are performed.

2 to 3 , the material management device 100 may include a receiver 110 and a processor 120 .

In step S310, the receiving unit 110 may obtain wearing information including information about the location or stock status of the product from the wearing device (200). In one embodiment, the location of the product includes the location information (eg, storage and storage number, location coordinates, etc.) of the product in stock indicating the product being worn in the wearing device 200, the stock status of the product is a plurality of pre-stored For each product, it may include a product item name, stock availability, the number of stocks, and location information for each product in stock. For example, the logistics management device 100 may receive, store and manage wearing information from the wearing device 200 at a preset cycle, and update the current location or stock status of each of a plurality of products.

In an embodiment, the quantity, location, and storage method of the goods to be received may be determined based on a learning algorithm (eg, machine learning, deep learning, etc.) stored in advance before step S310. For example, the processor 120 stores a history of storage size, number of product items handled, and order quantity, and a history of each step of time taken from order to pickup, sorting, inspection, packaging and delivery by location for each product item, etc. It creates a product positioning model that determines where products are stored by applying a pre-stored deep learning algorithm, and uses the product positioning model that is updated through learning. : You can decide the type of storage, storage number, storage number in storage), storage method (eg storage temperature, intensive storage), etc.

Accordingly, it is possible to build an environment that can quickly respond to customers' fluid order situations by managing the inventory status of products in real time and at the same time controlling the number of products to be stored in a limited space and the quantity of orders.

In step S320, the processor 120 may obtain pickup information for picking up a specified product determined based on a user input, based on the wearing information. In one embodiment, the processor 120 determines one of the plurality of products corresponding to the product to be ordered as a designated product as the order information including information on the product and the delivery destination is received from the user terminal 700, and , it is possible to generate pickup information by using the difference between the location of the plurality of stocked goods corresponding to the designated goods and the location of the pickup device 300, for example, by picking up the stocked goods stored in a location where the pickup movement is minimized Pickup information can be created to transport to a set pickup destination (eg, a designated location, a location of an adjacent sorting device).

In an embodiment, the processor 120 is performing a pickup on a product in the process of acquiring pickup information or a pickup worker (eg, a workstation worker) associated with a pickup schedule and pickup of a plurality of pickup devices 300 scheduled for pickup ) can be used together with the pickup throughput per unit time to generate pickup information. For example, the pickup device identification for determining the expected pickup time based on the pickup movement of the plurality of pickup devices 300 for the goods in stock corresponding to the specified goods, and pick up the one with the smallest expected pickup time among the plurality of goods in stock It is possible to generate pickup information including information and pickup movement lines.

Accordingly, it is possible to improve productivity by minimizing the pickup movement of several pickup robots, to minimize the workload of a worker who is picking, and to prevent collision between pickup robots to ensure product quality.

In an embodiment, the processor 120 may determine a pickup method based on order information and wear information, and output a message requesting to pick up a specified product according to the determined pickup method. For example, the product may be stored in different types of storage, and the pickup device 300 may be controlled so that the pickup is performed in a different manner corresponding to the location of the product, the stock situation, the storage type, and the like.

In one embodiment, the pickup method is a Goods To Robot (GTR) method that picks up and transports goods through a pickup robot and a driving robot, and when the pickup robot picks up the goods and transfers them to a workstation where the operator is located, the operator checks the pickup result It may include at least one of a Goods To Person (GTP) method and a Person To Goods (PTG) method in which an operator picks up a product while checking the output of order information, such as a list picking or a picking cart (DPC).

In step S330, the processor 120 may determine the classification of the pickup product to be picked up according to the pickup information based on a preset criterion. In one embodiment, the processor 120 transmits the pickup information to the pickup device 300 to control the pickup to be made according to the pickup information, and whether or not pickup is performed according to the pickup information from the pickup device 300 and Depending on the pickup, a pickup result including information on the sorting device to which the pickup product is transferred (eg, a sorter identifier, a sorting robot identifier) may be received, and according to a preset criterion, to a sorting destination determined based on the pickup result and order information Classification information for classifying and transporting the pickup product may be generated and transmitted to the classification device 400, for example, any of a plurality of pre-stored classification categories (eg, large, medium, small, etc.) corresponding to the type of the designated product. It is possible to determine one (eg, medium, etc.) to sort the pickup products on a suitable conveyor belt according to the weight criteria, while generating sorting information according to the criteria for minimizing the sorting flow to the sorting destination.

In one embodiment, the processor 120 is a first criterion for a classification category (eg, large, medium, small, etc.) corresponding to the type of pickup product, one or more classifications located between the current location of the pickup product and the classification destination Pick-up goods according to at least one of a second criterion regarding the classification progress of the device 400 (eg, throughput per hour, the number of pickup goods on standby, etc.) and a third criterion regarding the sorting throughput per unit time of a sorting worker associated with classification classification can be determined. For example, a sorter is a sorting type for sorting a pickup product with a conveyor belt corresponding to a classification category of the designated product (eg, large, medium, small, etc.) Classification information including classification device identification information and classification flow may be generated so that the worker's workload is classified toward a small position.

Accordingly, rapid classification can be made for each delivery destination, the sorting flow can be efficiently improved, and misclassification can be minimized by controlling the sorting in consideration of the comprehensive pickup and sorting situation.

In an embodiment, the processor 120 may determine a classification method based on the order information, and output a message requesting to classify the pickup product according to the determined classification method. In one embodiment, the classification method is a robot classification method that implements the entire process of the classification process through an automated facility, a semi-automatic classification method in which a part of the classification process is implemented through an automated facility and the rest of the classification process is performed by an operator (eg: sorter) and manual sorting methods in which all or most of the packaging process is performed by an operator (eg, manual product sorting based on Put-Wall shelves). For example, it is necessary to determine a determinable candidate classification method based on the type and current location of the pickup product among a plurality of pre-stored classification methods, and to classify and transport the pickup product to the classification destination corresponding to the delivery destination according to the candidate classification method By calculating the expected time, the classification method may be determined as the candidate classification method having the smallest expected time.

In step S340, the processor 120 may determine a packaging or delivery method for the pickup product based on the determined classification of the pickup product. In an embodiment, the processor 120 may determine a corresponding one of a plurality of pre-stored packaging types according to the classification category and order information of the pickup product, for example, corresponding to the product type determined according to the classification. You can decide the packaging method.

In one embodiment, the packaging method is a fully automatic packaging method that implements the entire process of the packaging process through an automated facility, a semi-automatic packaging method in which a part of the packaging process is implemented through an automated facility and the rest of the packaging process is performed by an operator (eg : It may include at least one of pouch packaging, box taping, etc.) and manual packaging method in which all or most processes of the packaging process are performed by an operator (eg, when manual work such as filling material and refrigerant input is required).

In an embodiment, the processor 120 may update the packaging method based on the packaging device 600 and the packaging throughput per unit time of the packaging worker for packaging or the number of pickup products waiting to be packaged, for example, the product Even if the packaging method corresponding to the type is primarily determined as the semi-automatic packaging method, the packaging process is delayed because the hourly throughput of the packaging device 600 performing the semi-automatic packaging method is less than or equal to the preset value, whereas the packaging method If the throughput per hour of the packaging device 600 performing another packaging method that can replace .

In an embodiment, when the packaging method for the pickup product is determined, the processor 120 may output a message requesting to package the pickup product according to the determined packaging method. For example, when the packaging method is determined to be the fully automatic packaging method for the pickup product transferred through the sorting device 400, the packaging details and messages including the packing list according to the order information correspond to the fully automatic packaging method. Controls the packaging process according to the fully automatic packaging method to be transmitted to the packaging device 600 to ) by sending the corresponding type and message to the packaging device 600 corresponding to the control so that the packaging process according to the semi-automatic packaging method is performed, and when the packaging method is determined as the manual packaging method, input information about the filler or refrigerant and By sending a message to the packaging device 600 corresponding to the manual packaging method to display the relevant information, it is possible to support the operator to proceed with manual packaging using a material suitable for the pickup product.

In an embodiment, the processor 120 selects a corresponding one of a plurality of delivery methods based on order information and a delivery link situation for a classified pickup product waiting for delivery or a packaged product on which packaging is performed for the pickup product can decide For example, according to the delivery destination of the pickup product, a delivery device (not shown) or a delivery worker related to delivery of a plurality of delivery methods in conjunction with a plurality of delivery linkage servers 800 and a plurality of delivery devices (not shown) It is possible to determine which delivery method has the smallest estimated start time to start shipping or the expected delivery time to deliver the goods to the delivery destination.

In one embodiment, the delivery method is a two-wheeled vehicle delivery method in which the delivery process is implemented through a manual operation of a delivery worker on the two-wheeled vehicle, and a robot delivery method in which the delivery process is implemented through integrated control over a robotic device (eg, a mobile robot) and a drone delivery method in which a delivery process is implemented through integrated control of a drone that delivers a product of a preset weight or less.

In an embodiment, the processor 120 may determine the delivery method by giving different weights to each of the two-wheeled vehicle delivery method, the robot delivery method, and the drone delivery method. For example, the two-wheeled vehicle delivery method, the robot delivery method, and the drone delivery method may be in the order of largest. For example, when all delivery methods can be used for product delivery immediately, the two-wheeled vehicle delivery method with the highest weight may be determined preferentially.

In an embodiment, the processor 120 determines an expected delivery time according to each of a plurality of delivery methods for a product awaiting delivery, and when the difference between each expected delivery time is less than a preset value, the two-wheeled vehicle delivery method and the robot delivery method And the delivery method may be determined according to the highest priority in the order of the drone delivery method. For example, even if the two-wheeled vehicle delivery method is expected to take longer than the robot delivery method, if the time difference is not large, the two-wheeled vehicle delivery method may be determined with priority.

In an embodiment, when the delivery method for the pickup product is determined, the processor 120 may output a message requesting delivery of the pickup product according to the determined delivery method. For example, when it is determined as a two-wheeled vehicle delivery method, delivery information and a message including information on a delivery destination and a pickup product waiting for delivery are transmitted to a delivery link server 800 or a delivery terminal (not shown), and a delivery worker In the case of a robot delivery method or a drone delivery method, information and messages about the delivery destination and pickup products waiting for delivery are sent to the robot device (eg, mobile robot) or drone to the robot device or drone. Delivery can be made by

In an embodiment, the processor 120 may obtain inspection information for a pickup product to be picked up according to the pickup information, and determine whether to deliver the pickup product based on the inspection information. For example, the processor 120 transmits the order information and classification information to the inspection device 500 to output a message requesting inspection for the pickup product moving to the inspection area connected to the classification destination, and the inspection device 500 specifies the pickup product according to the classification information and performs inspection on the pickup product according to the order information to send the inspection result on whether the pickup product contains shape, weight or identification information corresponding to the designated product to the processor 120 In response, the processor 120 may determine the delivery of the pickup product only when it is determined that the pickup product corresponds to the designated product according to the inspection result.

In one embodiment, the processor 120 determines whether the pickup product has passed the inspection standard based on the inspection information, and when the pickup product passes the inspection criterion, determines the packaging method based on the classification of the determined pickup product can In an embodiment, the inspection standard may include an inspection standard for at least one of weight, size, and barcode.

In an embodiment, the processor 120 may obtain weight information on the pickup product, and compare the weight of the pickup product with the expected weight of the designated product by using the weight information. For example, transmit a message requesting to measure the weight of the pickup product transferred through the sorting device 400 to the inspection device 500 implemented through the conveyor automation facility for weight inspection, and the response from the inspection device 500 If the difference between the measured weight of the pickup product and the expected weight preset for the designated product is less than the preset value, it may be determined that the weight inspection standard has been passed.

In an embodiment, the processor 120 may obtain image information about the pickup product, and compare the size of the pickup product with the expected size of the specified product by using the image information. For example, sending a message requesting to measure the shape size by imaging the image of the pickup product transferred through the classification device 400 to the inspection device 500 implemented through an automated facility for image inspection through a vision camera, When the difference between the measurement size of the pickup product responded from the inspection device 500 and the expected size preset to the designated product is less than the preset value, it may be determined that the inspection standard for the size has been passed.

In an embodiment, the processor 120 determines whether to ship based on the comparison result for the first weighted weight and the second weighted size comparison result, and the first weight is greater than the second weight. can be large For example, considering that there is a possibility that the size will be determined differently depending on the location, situation, etc. where the product is placed, there is a high probability that an error will occur in reality, whereas the weight has a relatively low probability of error. It is possible to determine whether or not the pickup product has passed the inspection standard based on the result calculated by assigning a high weight to it.

In an embodiment, the processor 120 may use the image information to recognize the barcode of the pickup product, and use the recognition result of the barcode to compare the barcode of the pickup product with the barcode of the designated product. For example, sending a message requesting to recognize the barcode of the pickup product transferred through the sorting device 400 to the inspection device 500 implemented through an automated facility for barcode recognition, and the pickup response from the inspection device 500 If the barcode of the product and the barcode preset on the designated product match, it may be determined that the barcode inspection standard has been passed. In one embodiment, when the barcodes do not match, the product information obtained from the barcode of the pickup product is compared with the product information obtained from the barcode of the designated product to determine whether or not they match more than a preset level, for example, In the case of substantially the same product as the goods stocked for the product, it is determined that the inspection standard for the barcode has been passed, the inspection result is recorded by reflecting the relevant information, and the inventory status can be updated.

In an embodiment, the processor 120 determines whether to deliver based on the comparison result for the third weighted weight and the recognition result for the fourth weighted barcode, and the fourth weight is higher than the third weight. can be large For example, since the barcode is more accurate than the weight and the error occurrence probability is low, it is possible to determine whether the pickup product has passed the inspection standard based on the calculation result by giving a higher weight to the comparison result for the barcode.

In an embodiment, the processor 120 determines the inspection method based on the classification of the pickup product, outputs a message requesting to inspect the pickup product according to the determined inspection method, and the pickup product corresponds to the determined inspection method You can decide whether or not the inspection criteria have been passed. For example, it is possible to control the inspection process to be performed according to one or more preset inspection methods and inspection criteria corresponding to the classification category of the pickup product.

In an embodiment, the inspection method includes a vision inspection method that inspects the shape size of a product by capturing an image through a vision camera, a weight inspection method that inspects the weight of a product through weight and/or image measurement, and a product through barcode recognition It may include at least one of a barcode inspection method that identifies and inspects the product, and a visual scan inspection method in which an operator inspects the entire product with the naked eye and a scanner. For example, the processor 120 may be configured according to the vision inspection method and weight inspection method in the case of the first classification category (eg, variant), and according to the weight inspection method in the case of the second classification category (eg, large or medium size). , in the case of the third classification category (eg, small), it is possible to control the inspection to be performed according to the visual scan inspection method.

The processor 120 may determine the operating speed of each of the plurality of logistics devices based on the number of products that can be processed per unit time when each of the plurality of logistics devices operates at the basic speed. In one embodiment, the processor 120 is a first number indicating the number of products that can be processed per unit time when the pickup device 300 operates at the basic speed, the unit when the sorting device 400 operates at the basic speed A second number indicating the number of products that can be processed per time and the third number indicating the number of products that can be processed per unit time when the inspection device 500 operates at a basic speed can be determined. For example, each logistics device operates at a preset basic speed based on the current location, basic speed, warehousing, pickup, classification, inspection, packaging, etc. of each logistics device or the number of waiting or progressing products in progress It is possible to calculate the expected number of processing per unit time when doing so and manage it so that it is greater than or equal to a preset value in each logistics device.

In an embodiment, the processor 120 may determine the operating speed of the pickup device 300 , the sorting device 400 , and the inspection device 500 based on the first number, the second number, and the third number. In an embodiment, each of the first number, the second number, and the third number may be obtained through an average operation for a plurality of pickup devices 300 , a plurality of sorting devices 400 and a plurality of inspection devices 500 . And, for example, when the second number for the classification step is less than the preset value, the average operating speed in the inspection device 500 of the next stage, the inspection stage, is increased to reduce the bottleneck that occurs as a whole in the classification stage. there is. In another embodiment, each of the first number, the second number, and the third number may be separately obtained for each of the plurality of pickup devices 300 , the plurality of sorting devices 400 , and the plurality of inspection devices 500 . and, for example, when the first number of specific pickup devices is less than the preset value, the operation speed of the corresponding pickup device is increased by more than the preset value, or one or more of the pickup tasks assigned to the pickup device are written to the pickup device. In a detailed logistics step, in a manner of reassigning to another inspection device that is adjacent within a set distance and the first number is greater than or equal to a preset value, or improves the operating speed of the sorting device 400 associated with the pick-up device in the next sorting step It can be controlled so that bottlenecks that occur locally are minimized.

In an embodiment, the processor 120 determines a fourth number indicating the number of products that can be processed per unit time when the packaging device 600 operates at a basic speed, and based on the first to fourth numbers It is possible to determine the operating speed of the pickup device 300 , the sorting device 400 , the inspection device 500 , and the packaging device 600 .

In an embodiment, the processor 120 is configured such that the difference between the first number and the second number or the difference between the second number and the third number is included within a preset range such that the pickup device 300, the sorting device 400, and the inspection device The operating speed of 500 may be determined, and the operating speed of each logistics device may be determined such that a difference between the third number and the fourth number is included within a preset range. For example, in the logistics phase, such as the pick-up phase - sort phase, the classification phase - the inspection phase, the inspection phase - the packaging phase, the difference in the number of products that can be processed per unit time of the logistics devices in the context of each other is minimized to minimize the bottleneck phenomenon can be minimized.

In one embodiment, the weight given to the difference between the second number and the third number may be greater than the weight given to the difference between the first number and the second number, for example, if a large difference occurs in a later step, as a result Since it directly affects the throughput of the front step, the operating speed of each logistics device can be determined to solve the case where the number difference is large in the rear step rather than the case where the number difference is large in the front step.

In one embodiment, the processor 120 is the second number is greater than the first number, and the third number is greater than the second number of the pickup device 300, the sorting device 400 and the inspection device 500 of The speed of operation can be determined. For example, in the logistics stage, the operation speed can be controlled so that the number of products that can be processed per unit time of the logistics device of the later stage is larger. This inefficient situation can be effectively prevented in advance because, if the work speed is faster in the front step, it is overcrowded at the back step and inevitably slows down the speed of the logistics device in the front step. can

In one embodiment, the first form information used in the wearing device 200, the second form information used in the pickup device 300, the third form information used in the classification device 400, in the inspection device (500) The used fourth format information may be converted into unified format information used for unified processing and used. For example, the processor 120 integrates and links information transmitted and received from different automation facilities through an adapter module according to a pre-stored integrated format, and uses the integrated and linked information to control operation of a plurality of logistics devices, system screen It is possible to provide a platform that integrates display, work order, logistics situation management, order information management, and the like.

In one embodiment, the receiver 110 includes a receiver for receiving information described throughout the specification, and may include a wired/wireless communication apparatus that is connected to other devices or components through a network to transmit and receive various information. . In addition, the processor 120 may perform a series of operations for performing the integrated management method for a plurality of logistics devices, to be implemented as a CPU (central processor unit) that controls the overall operation of the logistics management device 100 and may be electrically connected to the receiver 110 and other components to control data flow therebetween.

In addition, those of ordinary skill in the art can understand that other general-purpose components in addition to the components shown in FIG. 1 may be further included in the logistics management device 100 . According to an embodiment, the logistics management device 100 further includes a storage module (eg, database, cloud, etc.) for storing data, a user interface receiving module for receiving a user input, a display for displaying the above-mentioned information, etc. may include

4 to 8 are diagrams for explaining the configuration or operation of the wearing device 200, the pickup device 300, the sorting device 400, the inspection device 500, and the packaging device 600 according to an embodiment, respectively admit.

4, the warehousing device 200 is a first warehousing device 210 implemented as a fully automatic storage in the form of a cube, a second warehousing device 220 implemented as a semi-automatic storage in the aisle form, and a manual storage in the form of a shelf It may include at least one of the third wearing device 230 implemented as storage.

In one embodiment, the first warehousing device 210 may include a plurality of storage in the form of a cube in which goods are received, and a plurality of robots for loading and unloading goods from storage, and can store goods intensively in a limited space, so that the unit Space utilization can be maximized with maximum loading per area. For example, the logistics management device 100 controls so that there is no idle space between each storage cell in the first warehousing device 210, and uses a robot that runs on the upper part of the storage to automate the entire warehousing, storage and shipment of goods. can be controlled

In one embodiment, the second wearing device 220 may include a plurality of storage in the form of a passage in which the goods are received and a plurality of transfer equipment for putting goods in and out of the storage, for example, the logistics management device 100 is the first 2 A shuttle or AGV transfer equipment disposed between each storage cell in the warehousing device 220 may be used to control overall warehousing, storage, and shipment of goods.

In one embodiment, the third wearing device 230 includes a plurality of storage in the form of a shelf (Rack), for example, the logistics management device 100 outputs the location information in which the product is stored, the warehouse of the product by the operator , storage and release can be supported.

As such, the warehousing device 200 is implemented in a form capable of efficient intensive storage that comprehensively considers the number of products to be stored in a limited space, order quantity, etc., so that facility expansion can be supported flexibly according to the installation space.

Referring to FIG. 5 , the pickup device 300 is a first pickup device 310 implemented as a pickup robot that performs pickup in the GTR method, a workstation that performs pickup in the GTP method and transports goods to a space where the operator is located. It may include at least one of the second pickup device 320 implemented as , and the third pickup device 330 implemented as list picking by PTG method or order picking by DPC or DPS method.

Referring to FIG. 6 , the sorting device 400 includes a first sorting device 410 implemented as a robot that sorts and transports goods in a robot sorting method, and a sorter that sorts and transports goods in a semi-automatic sorting manner. It may include at least one of a second sorting device 420 implemented as , and a third sorting device 430 implemented as a Put-Wall shelf that sorts and transfers goods in a manual sorting manner. For example, the logistics management device 100 may implement sorting automation using an obstacle avoidance, self-charging function, etc. mounted on the first sorting device 410 implemented as a transport type AGV multi-robot equipped with a sorting function, and the sorter Classification of products by customer, delivery address, and person in charge through the second sorting device 420 implemented as an automatic sorting facility such as can be output so that the product can be properly classified by destination by the operator.

Referring to FIG. 7 , the inspection device 500 is a first inspection device 510 implemented as a vision camera automation facility according to the vision inspection method, and a second inspection device implemented as a conveyor automation facility for weight inspection according to the weight inspection method 520, it may include at least one of a third inspection device 530 implemented as a scanner according to the visual scan inspection method, and a fourth inspection device implemented as an automated barcode recognition facility according to the barcode inspection method.

Referring to FIG. 8 , the packaging device 600 includes a first packaging device 610 that performs statement input and automatic packaging according to a fully automatic packaging method, and a second packaging device 610 that performs pouch packaging or box taping according to a semi-automatic packaging method. It may include at least one of a packaging device 620 and a third packaging device 630 for outputting manual work contents in a manual packaging method.

9 is a diagram for further explaining the configuration of the logistics management device 100 for implementing an automated logistics center in the city according to an embodiment.

Referring to FIG. 9 , the logistics management device 100 for implementing an automated logistics center in the city according to an embodiment provides an operation optimization module 121 that provides a function for optimizing center operation, and a function for integrated operation of the robot It may include a user interface module 121 and a heterogeneous robot integration interface linking module 123 that provides a function of linking between a plurality of logistics devices.

For example, as the user's order information is obtained through the e-commerce integration platform, the user interface module 121 creates and manages integrated operations related to storage, pickup, transfer, inspection and packing based on the order information, and , the operation optimization module 121 is a wear device 200, a pickup device 300, a classification device 400, an inspection device ( 500) and the packaging device 600 to optimize the driving route, work distribution, etc. to generate control signals to control the operation, and the heterogeneous robot integration interface linkage module 123 transmits a control signal to each logistics device or each logistics In the process of receiving information from the device, a linkage function to the integrated interface is provided through conversion between the form information used in a plurality of logistics devices and the integrated form information, and the operation optimization module 121 performs integrated monitoring for the automated robot. Through this, the entire process can be managed so that the specified product is picked up according to the user's order information, sorted, inspected, and delivered quickly through packaging.

10 is a diagram for further explaining an operation of providing a delivery process of the integrated logistics management system 1000 for managing an automated logistics center in a city according to an embodiment.

Referring to FIG. 10 , the logistics management device 100 may further include a user terminal 700 and a delivery linkage server 800 .

The user terminal 700 represents a computing device associated with a user account, and in one embodiment, is implemented as a mobile phone, a smartphone, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, etc., and is charged through a wireless communication network. It includes all kinds of handheld-based wireless communication devices that can be connected to the money support server 100, or is implemented as a desktop PC, tablet PC, laptop PC, etc. It may include a connectable wired/wireless communication device. In an embodiment, the user terminal 700 may install an application or a web program for an e-commerce service associated with integrated logistics management and store it in the memory.

In an embodiment, the logistics management device 100 may be connected to the user terminal 700 through an application or a web program to receive order information for a product, and based on the received order information, according to the above-described embodiment Integrated logistics management may be performed by controlling a plurality of logistics devices, and a product delivery process may be performed in connection with the delivery linkage server 800 .

In one embodiment, the delivery link server 800 is a server that can determine a delivery person for a product by being connected to a plurality of delivery terminals, for example, linked through outsourcing with a delivery service provider or through its own delivery infrastructure. It may be built, a deliverer may be determined based on delivery information received from the logistics management device 100 , and a delivery status by the deliverer may be transmitted to the logistics management device 100 .

In an embodiment, as described above, the logistics management device 100 determines one of a two-wheeled vehicle delivery method, a robot delivery method, and a drone delivery method according to a product, and links the delivery with a message requesting delivery according to the determined delivery method It may be transmitted to the server 800 or the delivery device 600 to be delivered.

11 to 17 are diagrams for explaining an operation in which the logistics management device 100 provides information on a plurality of logistics devices according to an embodiment.

Referring to FIG. 11 , the logistics management device 100 uses a history of product information, order quantity information, inventory information, and space information and a deep learning learning result for the types, quantities and locations of a plurality of logistics devices. information can be obtained. In an embodiment, the product information includes characteristic information such as size, weight, material, and storage temperature (eg, room temperature, low temperature, frozen), etc. for the product to be handled, and the order quantity information includes an hourly order quantity, order frequency, season Includes order traffic information such as volume fluctuations and growth rates, inventory information includes inventory analysis information according to storage volume and characteristics, and spatial information includes spatial analysis information on area, effective floor height, transportation means, etc. .

For example, a 3D cube storage type (refer to FIG. 11(a)), a shuttle type (refer to FIG. 11(b)) and a transfer robot type (FIG. 11(c) )), information that recommends the use of any one of them can be generated. In the case of the 3D cube storage type (see Fig. 11(a)), the storage amount per unit area is significantly higher than the conventional rack storage method, and it can be implemented as a fully automated facility through product pickup and transfer by a robot at the top of the storage. , in the case of the shuttle type (see Fig. 11(b)), it can be implemented as a semi-automated facility that picks up goods and transfers them to workers based on the transfer shuttle that moves quickly between the stacked shelf and the load rack, and the transfer robot type ( 11(c)), there is an advantage that can be implemented as an automated facility of the GTP method in which the transport robot transfers the stored goods to the operator.

Referring to FIG. 12 , the logistics management device 100 may generate recommendation information for the type of the wearing device 200 based on a history or learning result for product information, order quantity information, inventory information, and space information. . In an embodiment, the plurality of warehousing device types include a first facility type 10 (see FIG. 13 ) in the form of an auto store, a second facility type 20 (see FIG. 14 ) in the form of a miniload (MLS), multi-shuttle type at least of a third facility type 30 (see FIG. 15 ) and a fourth facility type 40 (see FIG. 16 ) in the form of a Commissioner, and a fifth facility type 50 (see FIG. 17 ) in the form of robotics may contain one. As shown in FIG. 12 , it can be seen that each type of equipment is different in terms of the number of storage units that can be installed in the same location and the amount of throughput accordingly. Any one can be determined to enable effective intensive storage in a limited space according to the like.

In an embodiment, the logistics management device 100 is based on the history or learning results for product information, order quantity information, inventory information and space information, the pickup device 300, the classification device 400, the inspection device 500 And the packaging device 600 may generate recommendation information for one of the type, quantity, location, and usage method of each of the packaging devices 600 .

As such, the logistics management device 100 can provide recommended information on the type of equipment, the location of the equipment, the amount of stock, the configuration of the movement, etc. when the distribution industry wants to create an automation-based distribution center in the city center, and the distribution industry can provide such information Accordingly, it is possible to implement an urban distribution center by building automation facilities. In this way, it is possible to provide analysis information such as an overall review of what type of storage facility is optimal to put in which location, how the quantity should be received and picked for the most efficient, and facility selection, and accordingly In this case, a plurality of logistics devices may be integrated to manage and operate according to the above-described embodiments.

As described above, an embodiment of the present invention can implement an automated distribution center in the city for urban logistics. According to the conventional logistics center construction method, it was impossible to install in the city center because it was not possible to provide integrated space installation and integrated control, but an embodiment of the present invention provides an integrated space installation, design, installation and control of a logistics device in the city center. To solve the problems of the prior art by providing can provide a way.

In addition, throughout the specification, the expression “providing” information may include displaying or transmitting/receiving corresponding information. In addition, some of the above-described operations may be implemented in variously modified forms in terms of order, function, and branching.

Meanwhile, the above-described method can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method may be recorded in a computer-readable recording medium through various means. The computer-readable recording medium includes a storage medium such as a magnetic storage medium (eg, ROM, RAM, USB, floppy disk, hard disk, etc.) and an optically readable medium (eg, CD-ROM, DVD, etc.) do.

A person of ordinary skill in the art related to this embodiment will understand that it may be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a restrictive sense. The scope of the present disclosure is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present disclosure.

1000: integrated logistics management system
100: integrated management device
110: receiver 120: processor
200: warehousing device 300: pickup device
400: sorting device 500: inspection device
600: packaging device 700: user terminal
800: shipping linkage server

Claims (19)

In the integrated management method for a plurality of logistics devices,
Obtaining wearing information including information about the location or stock status of the product from the wearing device used for supply and storage of the product;
acquiring pickup information for picking up a specified product determined on the basis of a user input based on the wearing information;
determining a classification of a pickup product to be picked up according to the pickup information based on a preset criterion; and
Determining a packaging or delivery method for the pickup product based on the classification;
obtaining inspection information for the pickup product to be picked up according to the pickup information; and
Further comprising; determining whether to deliver the pickup product based on the inspection information;
determining a first number indicating the number of products that can be processed per unit time when a pickup device that picks up the specified product operates at a basic speed based on the pickup information;
determining a second number indicating the number of products that can be processed per unit time when the classification device for classifying the pickup products operates at a basic speed;
determining a third number indicating the number of products that can be processed per unit time when the inspection device for obtaining the inspection information operates at a basic speed; and
Determining operating speeds of the pickup device, the sorting device, and the inspection device based on the first number, the second number, and the third number; further comprising,
The quantity, location, and storage method of the goods received through the wearing device are determined based on a pre-stored deep learning-based learning algorithm,
The inspection device includes at least one of a vision camera automation facility for acquiring the inspection information, a conveyor automation facility for weight inspection, and a barcode recognition automation facility,
The method further comprising the step of providing recommended information on the types, quantities, and locations of the plurality of logistics devices by using the history of pre-stored product information, order quantity information, inventory information, and space information.
The method of claim 1,
Further comprising; providing integrated information including order information for the product, the wearing information, and the delivery information to the user terminal corresponding to the user input;
The pickup information is determined based on a pickup movement line of a plurality of pickup devices for a plurality of stock goods corresponding to the specified product, and the delivery method is an estimated delivery time indicating a time until delivery of the pickup product to a delivery destination is determined based on the method.
The method of claim 1,
The step of deciding whether to deliver
determining whether the pickup product has passed the inspection standard based on the inspection information;
determining a packaging method based on the classification when the pickup product has passed the inspection criteria; and
Outputting a message requesting to package the pickup product according to the packaging method; further comprising, the method.
4. The method of claim 3,
The step of deciding whether to deliver
Outputting a message requesting delivery of the pickup product according to the delivery method; further comprising, the method.
The method of claim 1,
The step of determining the operating speed is
determining the operating speeds of the pickup device, the sorting device and the inspection device such that the second number is greater than the first number and the third number is greater than the second number.
The method of claim 1,
The first form information used in the warehousing device, the second form information used in the pickup device, the third form information used in the sorting device, and the fourth form information used in the inspection device are integrated used for integrated processing converted into formal information and used;
The step of providing the recommended information
Using the history of the product information, order quantity information, inventory information, and space information to generate recommendation information for the type of the wearing device,
The product information includes characteristic information on at least one of size, weight, material, and storage temperature of the product being handled, and the order quantity information includes an order for at least one of hourly order quantity, order frequency, seasonal quantity fluctuation and growth rate. Containing cargo volume information, the inventory information includes inventory analysis information on at least one of storage quantities and characteristics, the spatial information includes spatial analysis information on at least one of an area, an effective floor height, and a moving means,
The type of the wearing device is a first facility type in the form of 3D cube storage, a second facility type in the form of MLS (Miniload), a third facility type in the form of a multi-shuttle, and a fourth facility type in the form of a commissioner and a fifth equipment type in the form of an Auto Guided Vehicle (AGV) or Autonomous Mobile Robot (AMR).
The method of claim 1,
The step of determining the operating speed is
determining the operating speeds of the pickup device, the sorting device, and the inspection device so that a difference between the first number and the second number or a difference between the second number and the third number is within a preset range;
and a weight assigned to the difference between the second count and the third count is greater than a weight assigned to the difference between the first count and the second count.
The method of claim 1,
The step of obtaining the inspection information is
obtaining weight information for the pickup product; and
Including; obtaining image information about the pickup product.
9. The method of claim 8,
The step of deciding whether to deliver
comparing the weight of the pickup product with an expected weight of the designated product by using the weight information;
comparing the size of the pickup product and the expected size of the designated product by using the image information; and
Determining whether to deliver the product based on a comparison result of the weight to which a first weight is given and a result of comparison with respect to the size to which a second weight is given;
wherein the first weight is greater than the second weight.
9. The method of claim 8,
The step of deciding whether to deliver
comparing the weight of the pickup product with an expected weight of the designated product by using the weight information;
recognizing the barcode of the pickup product by using the image information; and
determining whether to deliver the product based on a result of comparing the weight to which a third weight is assigned and a result of recognizing the barcode to which a fourth weight is assigned;
wherein the fourth weight is greater than the third weight.
In the integrated management device for a plurality of distribution devices,
a receiving unit for obtaining wearing information including information on the location or stock status of the product from the wearing device used for supply and storage of the product; and
Acquire pickup information for picking up a specified product determined based on a user input based on the wearing information, determine a classification of a pickup product to be picked up according to the pickup information based on a preset criterion, and based on the classification Including; a processor for determining a packaging or delivery method for the pickup product;
the processor is
Obtaining inspection information for the pickup product to be picked up according to the pickup information,
Determining whether to deliver the pickup product based on the inspection information,
Determining a first number indicating the number of products that can be processed per unit time when the pickup device for picking up the specified product operates at a basic speed based on the pickup information,
determining a second number indicating the number of products that can be processed per unit time when the classification device for classifying the pickup product operates at a basic speed;
When the inspection device that obtains the inspection information operates at a basic speed, a third number indicating the number of products that can be processed per unit time is determined,
determining the operating speeds of the pickup device, the sorting device, and the inspection device based on the first number, the second number, and the third number;
The quantity, location, and storage method of the goods received through the wearing device are determined based on a pre-stored deep learning-based learning algorithm,
The inspection device includes at least one of a vision camera automation facility for acquiring the inspection information, a conveyor automation facility for weight inspection, and a barcode recognition automation facility,
A device that provides recommended information on the types, quantities and locations of the plurality of logistics devices by using the history of pre-stored product information, order quantity information, inventory information, and space information.
12. The method of claim 11,
the processor is
providing integrated information including order information, stocking information, and delivery information for the product to a user terminal corresponding to the user input;
The pickup information is determined based on a pickup movement line of a plurality of pickup devices for a plurality of stock goods corresponding to the specified product, and the delivery method is an estimated delivery time indicating a time until delivery of the pickup product to a delivery destination is determined based on the device.
12. The method of claim 11,
the processor is
Determine whether the pickup product has passed the inspection standard based on the inspection information,
When the pickup product passes the inspection criteria, determining a packaging method based on the classification,
Outputting a message requesting to pack the pickup product according to the packaging method, the device.
14. The method of claim 13,
the processor is
Outputting a message requesting delivery of the pickup product according to the delivery method, the device.
12. The method of claim 11,
the processor is
and determining the operating speeds of the pickup device, the sorting device and the inspection device so that the second number is greater than the first number and the third number is greater than the second number.
12. The method of claim 11,
The first form information used in the warehousing device, the second form information used in the pickup device, the third form information used in the sorting device, and the fourth form information used in the inspection device are integrated used for integrated processing converted into formal information and used;
Using the history of the product information, order quantity information, inventory information, and space information to generate recommendation information for the type of the wearing device,
The product information includes characteristic information on at least one of size, weight, material, and storage temperature of the product being handled, and the order quantity information includes an order for at least one of hourly order quantity, order frequency, seasonal quantity fluctuation and growth rate. Containing cargo volume information, the inventory information includes inventory analysis information on at least one of storage quantities and characteristics, the spatial information includes spatial analysis information on at least one of an area, an effective floor height, and a moving means,
The type of the wearing device is a first facility type in the form of 3D cube storage, a second facility type in the form of MLS (Miniload), a third facility type in the form of a multi-shuttle, and a fourth facility type in the form of a commissioner and a fifth equipment type in the form of an Auto Guided Vehicle (AGV) or Autonomous Mobile Robot (AMR).
12. The method of claim 11,
the processor is
determining the operating speeds of the pickup device, the sorting device, and the inspection device so that a difference between the first number and the second number or a difference between the second number and the third number is within a preset range;
and a weight assigned to the difference between the second and third counts is greater than a weight assigned to the difference between the first and second counts.
12. The method of claim 11,
the processor is
Obtaining weight information for the pickup product,
A device to obtain image information for the pickup product.
A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 10 in a computer is recorded.

Images