CN110111033A - A kind of method and apparatus that order shunts - Google Patents

Abstract

The invention discloses the method and apparatus that a kind of order shunts, and are related to warehouse logistics field.One specific embodiment of this method includes: reception order, obtains the order information of order；It determines order corresponding with order information pond, carries out scheduled production in transmission order to warehouse district corresponding with identified order pond；Wherein, order pond and warehouse district have mapping relations.The embodiment realizes the warehouse management system that order special project shunts by establishing multiple independent order ponds, with this, and goods and the interaction times of people is greatly decreased；Based on order distributing strategy, order processing efficiency, while the workload of balanced each warehouse district work station can be improved, reduce system service pressure and complexity.

Description

Method and device for order distribution

technical field

The invention relates to the field of warehousing and logistics, in particular to a method and device for order distribution.

Background technique

Order distribution processing is the operation stage from receiving user orders to picking goods. As one of the core processes of order operations, it plays a very important role in improving user satisfaction and enhancing enterprise competitiveness.

In the prior art, for the distribution scheme of orders, a single-layer plane layout and a single order pool (that is, the place where orders are stored) are mainly adopted. Orders are issued from the upstream warehouse management system (referred to as the upstream system) to the single order pool. According to the predetermined order grouping strategy, single-piece orders and multi-piece orders are packaged separately, combined to generate a collection order, and bound to the workstation, and then the transport trolley is dispatched to transport the goods to the outbound pickers at each workbench or into the warehouse The picker completes the process of "goods to person" and improves the work efficiency of personnel.

In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art:

(1) The adopted single-floor plan layout method does not carry out storage area planning, and the storage height of goods is limited, resulting in low utilization rate of warehouse space;

(2) The order pool is single, so the transport trolley needs to shuttle back and forth in each storage area, resulting in low pick-up efficiency and transportation efficiency.

Contents of the invention

In view of this, the embodiments of the present invention provide a method and device for order splitting, which can at least solve the problem of low order splitting efficiency caused by the simplification of the order pool in the prior art.

In order to achieve the above object, according to an aspect of the embodiments of the present invention, a method for shunting orders is provided, including: receiving an order, obtaining order information of the order; determining an order pool corresponding to the order information, and transmitting the order to the determined Production scheduling is performed in the storage area corresponding to the order pool; among them, the order pool has a mapping relationship with the storage area.

Optionally, transmitting the order to the storage area corresponding to the determined order pool for production scheduling includes: when the number of the order pool is one, transmitting the order to the storage area corresponding to the order pool for production scheduling; or When there are multiple order pools, calculate the scores of each order pool according to the predetermined order pool score calculation method, determine the first order pool with the smallest score, and transfer the order to the storage area corresponding to the first order pool for processing Scheduling.

Optionally, according to the predetermined order pool score calculation method, calculating the scores of each order pool includes: according to the formula

Calculate the score q of each order pool; among them, m _k is the total number of orders to be completed in the kth order pool, n _k is the number of workstations currently used by the kth order pool, and a is the weight coefficient of the kth order pool , ρ _k is the degree of coincidence between the order and the inventory set of the kth order pool.

Optionally, it also includes: when there is no order pool corresponding to the order information, splitting the order information in the order according to the order pool to obtain multiple sub-orders; transmitting each sub-order to the corresponding second order pool, The transmitted sub-orders are scheduled in the storage area corresponding to the second order pool.

Optionally, transmitting the order to the storage area corresponding to the determined order pool for production scheduling further includes: when it is detected that the order has characteristic information, determining that the order is a specific order, and preferentially transmitting the order to the storage area for production scheduling.

In order to achieve the above object, according to another aspect of the embodiments of the present invention, an order distribution device is provided, including: an order receiving module, used to receive orders, and obtain order information of the order; an order distribution module, used to determine and order For the order pool corresponding to the information, the order is transferred to the storage area corresponding to the determined order pool for production scheduling; wherein, the order pool has a mapping relationship with the storage area.

Optionally, the order distribution module is used for:

When the quantity of the order pool is one, transfer the order to the order pool; or

When there are multiple order pools, calculate the scores of each order pool according to the predetermined order pool score calculation method, determine the first order pool with the smallest score, and transfer the order to the storage area corresponding to the first order pool for processing Scheduling.

Optionally, the order distribution module is used for: according to the formula

Calculate the score q of each order pool; among them, m _k is the total number of orders to be completed in the kth order pool, n _k is the number of workstations currently used by the kth order pool, and a is the weight coefficient of the kth order pool , ρ _k is the degree of coincidence between the order and the inventory set of the kth order pool.

Optionally, an order splitting module is also included for: when there is no order pool corresponding to the order information, split the order information in the order according to the order pool to obtain multiple sub-orders; transmit each sub-order to the corresponding second order pool, and schedule the transmitted sub-orders in the storage area corresponding to the second order pool.

Optionally, an order processing module is also included, configured to: when it is detected that the order has characteristic information, determine that the order is a specific order, and preferentially transmit the order to the storage area for production scheduling.

To achieve the above object, according to still another aspect of the embodiments of the present invention, an electronic device for order distribution is provided.

The electronic device in the embodiment of the present invention includes: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, so that the One or more processors implement any of the methods for order distribution described above.

In order to achieve the above object, according to another aspect of the embodiment of the present invention, there is provided a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, any of the above-mentioned order shunting methods is implemented. .

According to the solution provided by the present invention, one embodiment of the above invention has the following advantages or beneficial effects: by establishing multiple independent order pools, a warehouse management system for special distribution of orders can be realized, and the interaction between goods and people can be greatly reduced Times; Based on the order diversion strategy, it can reduce the generation of merged orders, improve the efficiency of order processing, and balance the workload of workstations in each storage area, while reducing the pressure and complexity of system services.

The further effects of the above-mentioned non-conventional alternatives will be described below in conjunction with specific embodiments.

Description of drawings

The accompanying drawings are used to better understand the present invention, and do not constitute improper limitations to the present invention. in:

FIG. 1 is a schematic flowchart of a method for order distribution according to an embodiment of the present invention;

Fig. 2 is a schematic flow chart of an optional order distribution method according to an embodiment of the present invention;

Fig. 3 is a schematic flow chart of another optional order distribution method according to an embodiment of the present invention;

Fig. 4 is a schematic flow chart of another optional order distribution method according to an embodiment of the present invention;

Fig. 5 is a schematic flowchart of another optional method for order distribution according to an embodiment of the present invention;

Fig. 6 is a schematic diagram of main modules of an order distribution device according to an embodiment of the present invention;

Fig. 7 is an exemplary system architecture diagram to which the embodiment of the present invention can be applied;

FIG. 8 is a structural diagram of a computer system suitable for implementing a mobile device or a server according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the embodiments of the present invention can be applied to warehouse management systems, such as warehouses for medicines, tobacco, clothes, shoes, accessories, etc., and can also be applied to AGV (Automated Guided Vehicle, automatic guided transport vehicle/unmanned handling) Vehicle) in the unmanned warehouse system.

In addition, since the coverage of each warehouse is fixed, and the order allocation warehouse usually adopts the principle of allocation according to the nearest delivery address, the present invention does not involve the interaction between warehouses, and only considers the location after the order is allocated to the current warehouse (i.e. , to determine which shelf the goods of the order are picked from), for example, if the order receiving address is Beijing, then the order is allocated to the nearest warehouse in Beijing for order processing.

The order pool involved is related to the inventory of the goods in the storage area, for example, the name of the goods, the category of the goods, the quantity of the goods, etc. According to the multi-layer layout method, corresponding order pools can be set in each layer in advance, corresponding to the goods information stored in each layer, for example, layer 1-clothes, so the orders assigned to the order pool of this layer are all clothes orders; The single-layer layout can be partitioned, that is, divided into multiple areas, for example, area 1-shoes, so the orders allocated to the order pool in this area are all shoes. For the convenience of subsequent overviews, both levels and small areas are collectively referred to as storage areas.

Referring to Fig. 1, it shows a main flowchart of a method for order distribution provided by an embodiment of the present invention, including the following steps:

S101: Receive an order, and acquire order information of the order.

S102: Determine the order pool corresponding to the order information, and transmit the order to the storage area corresponding to the determined order pool for production scheduling; wherein, the order pool and the storage area have a mapping relationship.

In the above embodiment, for step S101, the obtained order may be sent to the warehouse management system through the upstream system, and the order information is generated based on the user's order request and has order attributes.

Wherein, the order information usually includes the order ID, the goods ID of the goods, the order quantity, the user ID and the receiving information; wherein, the receiving information includes the consignee information and the area information of the address. And the order ID is unique, each order corresponds to an order ID, and the order ID is generated when the user places an order online. It can take many forms, for example, buying 30 pieces of clothing at a time, buying only 1 piece of clothing at a time, buying 1 piece of clothing and a pair of shoes at a time, or buying multiple pieces of clothing and multiple pairs of shoes at a time. Correspondingly, the order attribute may include the identification information of the goods.

For step S102, each item has its specific inventory identification, such as the stock keeping unit SKU (StockKeeping Unit, which can be in pieces, boxes, pallets, etc.), and each item usually has a light identifying the item SKU. codes, such as barcodes or radio frequency identification (Radio Frequency Identification, RFID) tags.

The SKU table can be established to count and manage the goods stored in each storage area, with specific SKU information and corresponding inventory quantities, without paying attention to the distribution of goods on the shelves. For the recording method of the inventory SKU table, it can be recorded in real time and extracted in real time. Its inventory statistics can be deducted after diverting orders to the order pool, and increased when warehousing and production scheduling are used as the basis for order diversion strategies. The order pool corresponds to the inventory SKU table, for example, storage area 1-clothes-order pool 1, where "order pool 1" is the identification information of the order pool, which is used to associate with the storage area where it is located and independent of other order pools.

When the required goods in an order cannot be fully retrieved in one storage area, it can be split into a combined order, that is, the goods are picked separately from multiple storage areas, and then transported to the combined workstation through a turnover box for unified packaging Labeling processing prevents users from signing for multiple packages in different time periods, thereby improving user experience.

For example, storage area 1-clothes-order pool 1, storage area 2-shoes-order pool 2, storage area 3-accessories-order pool 3, if the order is clothes, which corresponds to order pool 1, the order will be assigned to Order pool 1, pick up goods from storage area 1; if the order includes clothes and shoes, you need to pick up clothes from storage area 1 and shoes from storage area 2.

Therefore, for each order pool, orders diverted to the order pool or merged orders that have been split can be stored. For the orders in the order pool, you can call the group order strategy, combine the orders to generate a collection order, and bind it to the slot of the workstation to facilitate the output of the ordered goods (arrange production, arrange goods transfer).

Among them, the order group strategy used can combine orders with a high degree of overlap, for example, order 1-sweater, order 2-sweater, order 1 and order 2 can be combined; goods from the same order pool can also be used Carry out unified planning and combine to generate a set of orders to improve the efficiency of delivery. In the collection order, there may be restrictions on the order quantity and the quantity of goods required, for example, the order quantity is limited for each processing, and the quantity of goods picked cannot exceed the inventory.

Each storage area can schedule orders according to the production scheduling process of the workstation, dispatch the trolley to pick up the goods on the shelf and send them to the workstation, and the workstation can correspond to the order pool. When the workstation has no empty slots, you can perform waiting operations on orders and collection orders, and wait for a slot to be vacant before binding. In addition, orders and collection orders can be bound according to the type of workstation to prevent all workstations from being fully occupied by a single type of order.

In addition, the assembly order and production scheduling in each storage area do not affect each other, and the trolleys and shelves do not need to shuttle back and forth in each storage area. In addition, a set of order management systems can be set up for each storage area to handle the order formation and production scheduling of each storage area.

The method provided by the above-mentioned embodiment abandons the existing single order pool method, and plans and counts the goods in the warehouse, so as to generate multiple mutually independent order pools, which improves the efficiency of order grouping, speeds up the order processing efficiency and the delivery library efficiency.

Referring to FIG. 2 , it shows a schematic flow chart of an optional order distribution method according to an embodiment of the present invention, including the following steps:

S201: Receive an order, and acquire order information of the order.

S202: Determine an order pool corresponding to the order information; wherein, the order pool has a mapping relationship with the storage area.

S203: When the quantity of the order pool is one, transmit the order to the storage area corresponding to the order pool for production scheduling.

S203': When there are multiple order pools, calculate the scores of each order pool according to the predetermined order pool score calculation method, determine the first order pool with the smallest score value, and transmit the order to the warehouse corresponding to the first order pool Scheduling in the district.

In the above implementation manner, for steps S201 and S202, reference may be made to the description of steps S101 and S102 shown in FIG. 1 , respectively, and details are not repeated here.

Whenever the system receives a new order, it needs to judge the quantity of the order pool that the order can locate. The judgment methods include but are not limited to the following methods:

1) Judgment based on commodity category: each storage area is divided by commodity category, therefore, the commodity category of the order diverted to the order pool of the storage area should be corresponding to it; for example, storage area 1-clothes-order pool 1;

2) Judgment based on commodity inventory: each storage area can be divided by commodity category, or only the inventory is different. Therefore, the demand for the goods diverted to this storage area should be less than the existing inventory in this storage area quantity; for example, demand quantity 50< current stock quantity 100;

3) Judgment based on the degree of overlap of order types: the products in each storage area are completely or partially identical, and if the product currently out of the warehouse in a storage area is the same as the demanded product of the order, the order will be diverted to the order pool of the storage area in order to speed up delivery;

4) Judgment based on the workload of the workstation: the workstation corresponding to the order pool is configured, and the commodities in each storage area are the same, and the order is allocated to the order pool with the smallest current workload;

5) Judgment based on the supply speed of each storage area: If the quantity of goods required in the order is small, the order will be diverted to the order pool that is currently relatively idle.

In the above embodiment, for step S203, when there is only one order pool that meets the requirements of the order, in order to reduce the generation of combined orders, the order needs to be diverted to the order pool in the storage area, for example, the order should be diverted to the same product category. In the order pool; when the inventory of only one storage area meets the order demand, the order will be diverted to the order pool of the storage area.

For step S203', when the order can be located in multiple order pools, in order to facilitate the system to manage the order diversion operation, it is necessary to evaluate each order pool to determine the only order pool to divert the order. The evaluation methods can include:

1) The supply volume of multiple storage areas is greater than or equal to the order demand, and the order is allocated to the order pool with the largest gap between the supply volume and the demand volume to balance the quantity of goods in each storage area; or the order is allocated to In the order pool with the smallest gap, to speed up the clearance of the commodity in the storage area;

2) If the overlap between the order type of the order and the bound order types on multiple order pools and workstations exceeds the preset overlap threshold, the order will be assigned to the order pool with the highest overlap to ensure the accuracy of delivery and speed up shipments speed;

3) Assign the order to the working layer with the least workload to balance the workload of each workstation;

4) If the supply speed of multiple storage areas meets the predetermined speed threshold, the order is allocated to the order pool with the highest current supply speed to increase the delivery speed.

In addition, when there are multiple order pools that meet the requirements of the order, in addition to the above scoring and evaluation methods, a random method can also be used, that is, randomly select one of the multiple order pools located.

The method provided in the above embodiment provides an order diversion management mechanism to effectively reduce the generation of merged orders, speed up order processing efficiency and delivery efficiency; in addition, the adopted order diversion strategy can improve the efficiency of order formation and delivery of goods Accuracy rate, at the same time, it is convenient to balance the workload of workstations in each storage area, reducing the number of interactions between goods and people, and reducing the complexity of the system.

Referring to FIG. 3 , it shows a schematic flow chart of another optional order distribution method according to an embodiment of the present invention, including the following steps,

S301: Receive an order, and acquire order information of the order.

S302: Determine an order pool corresponding to the order information; wherein, the order pool has a mapping relationship with the storage area.

S303: When the quantity of the order pool is one, transmit the order to the storage area corresponding to the order pool for production scheduling.

S303': When there are multiple order pools, according to the formula

Calculate the score q of each order pool, determine the first order pool with the smallest score value, and transmit the order to the storage area corresponding to the first order pool for production scheduling; where m _k is the total number of orders to be completed in the kth order pool Quantity, n _k is the number of workstations currently used by the kth order pool, a is the weight coefficient of the kth order pool, ρ _k is the coincidence degree of the order and the inventory set of the kth order pool.

In the above implementation manner, for steps S301 and S302, reference may be made to the description of steps S101 and S102 shown in FIG. 1 , and for step S303, reference may be made to the description of step S203 shown in FIG. 2 , which will not be repeated here.

In the above embodiment, for step S303', when multiple order pools can completely locate the same order, each order pool can be processed according to the average workload of the workstation of each order pool, the degree of overlap between the order and the order pool SKU set Scoring operation, specifically:

(1) Calculate the average workload of each order pool workstation

Get the number _{nk of workstations opened by the kth order pool, the total number of orders to be completed m k ,} and calculate the average workload of its workstations as m _k / _nk ; for example, if there are 5 workstations opened, it takes To complete 100 orders, for each workstation, the average workload is 20.

Further, since the enabled workstations may be faulty or unavailable, _nk may also be the number of workstations currently used by the kth order pool.

(2) Calculate the degree of coincidence between the order and the kth order pool SKU set

It should be noted that the coincidence degree calculated at this time may be the coincidence degree of the types of orders currently not completed in the order pool. For example, when the product currently out of the warehouse in a certain storage area is the same as the demanded product of the order, the order is diverted to the order pool of the storage area.

Obtain the number of types of the same SKU in the order and the k-th order pool SKU set, combine the number of SKU types in the order to calculate the coincidence degree ρ _k = (the order and the number of types of the same SKU in the k-th order pool SKU set)/ (the number of SKU types in the order); and the order type includes but is not limited to the type of goods, whether it is urgent, etc.

For example, the order pool currently has 5 SKU types of orders to be processed, which are sweaters, denim skirts, sweaters, trousers, and jackets; the order includes sweaters, denim skirts, shorts, and socks, and the overlap is calculated to be 50%.

(3) Calculate the score of each order pool

Combined with the obtained average workload and coincidence degree, the scores of each order pool are obtained as follows:

Among them, a is the weight coefficient of the coincidence degree of the kth order pool, so that the two factors of workload and coincidence degree are in the same order of magnitude, which is similar to the weight in multi-objective optimization.

(4) Determine the order pool with the smallest score

When the average workload of workstations is the same, the score of the order pool will gradually decrease with the increase of the degree of coincidence, so orders can be allocated to the order pool with a higher degree of coincidence to improve the accuracy of order distribution and picking up goods; when coincidence When the degree is the same, the score of the order pool gradually decreases with the decrease of the workload, so the order can be allocated to the order pool with a lower workload to balance the workload of each order pool workstation.

The method provided in the above embodiment provides a way of calculating the scores of each order pool. Based on the SKU information of each storage area, it greatly reduces the problem of many interactions between goods and people caused by the system querying inventory information, and alleviates the system Service pressure; it is conducive to balancing the workload of each workstation, improving the accuracy of order distribution, reducing the complexity of the overall system operation, and facilitating order processing and delivery.

Referring to FIG. 4 , it shows a schematic flow chart of another optional order distribution method according to an embodiment of the present invention, including the following steps,

S401: Receive an order, and acquire order information of the order.

S402: When there is no order pool corresponding to the order information, split the order information in the order according to the order pool to obtain multiple sub-orders.

S403: Transmit each sub-order to the corresponding second order pool, and schedule the transmitted sub-orders in the storage area corresponding to the second order pool; wherein, the order pool has a mapping relationship with the storage area.

In the above implementation manner, for step S401, reference may be made to the description of step S101 shown in FIG. 1 , which will not be repeated here.

In the above embodiment, for steps S402-S403, if some orders cannot be directly and completely located in any one of the multiple storage areas, that is, if the order is a specific order, the order needs to be split into a merged order.

For example, if an order contains two SKUs, A and B, the inventory in storage area 1 is only A, but not B; the inventory in storage area 2 is only B, without A. The order needs to be split into sub-order 1 and sub-order 2; among them, sub-order 1 corresponds to storage area 1, and its order information is only A; sub-order 2 corresponds to storage area 2, and its order information is only B. Afterwards, order 1 is assigned to the order pool in storage area 1 to pick up goods A from storage area 1; order 2 is assigned to the corresponding order pool in storage area 2 to pick up item B from storage area 2.

Merged orders need to be merged, so they cannot be bound to ordinary workstations, and need to be directly bound to workstations with merged order slots for production scheduling. For example, there is only a merge workstation in the warehouse storage area 1, and there is no merge workstation in other storage areas (such as storage area 2). Therefore, after the merge order is arranged and picked in storage area 2, it needs to be transported to the storage area 1 through the conveyor line. The merge station performs the merge operation.

In addition, it is also possible to reserve confluence workstations in each storage area, which facilitates the confluence processing of confluence orders in each storage area, without the need to transfer to the only or inherent confluence workstation for production scheduling processing, thereby improving the efficiency of order scheduling.

The method provided in the above embodiment provides a processing idea for consolidating orders. Compared with the existing technology, it improves the efficiency of order picking and merging, and at the same time makes the system order processing mechanized and automated, reducing human participation. Reduced system complexity.

Referring to FIG. 5 , it shows a schematic flow chart of another optional order distribution method according to an embodiment of the present invention, including the following steps,

S501: Receive an order, and acquire order information of the order.

S502: Determine an order pool corresponding to the order information.

S503: When it is detected that the order has characteristic information, it is determined that the order is a specific order, and the order is preferentially transmitted to the storage area for production scheduling; wherein, the order pool has a mapping relationship with the storage area.

In the above implementation manner, for step S501, refer to the description of S101 shown in FIG. 1 , and for step S502, refer to the description of step S102 shown in FIG. 1 , FIG. 2 and FIG. 3 , and details are not repeated here.

In the above embodiment, for step S503, after the goods are picked up for the order, they can be transmitted to the workstation for packing out of the warehouse. There is a corresponding scheduling process in the intelligent scheduling system, such as the scheduling buffer, which is used to receive all the outbound task orders sent to the workstation, and based on the order cut-off time, the order is processed and scheduled to be calculated to obtain the SKU ID - row for SKU quantity. Among them, the production scheduling calculation is to arrange the designated car to pick up the goods and send them to the designated workstation to prevent the same order from being bound to different workstations.

Among them, the order cut-off time is the order production deadline, which means that the order needs to be picked at a certain time; the order bound to a certain workstation can be processed according to the SKU, that is, order 1 contains SKU-A-3 pieces, and order 2 contains SKU-A-2 pieces, SKU-B-1 pieces, this workstation can generate SKU-A-5 pieces, SKU-B-1 pieces in total.

In the process of scheduling and processing orders, it can also be prioritized according to the characteristic information of the order, such as timeliness, urgency, order cut-off time and other factors. In addition, according to the order attributes of the order, the upstream system will add feature tags (for example, urgent, time limit) to the order when issuing the order task. The scheduling process will recognize the label, for example, scan the QR code, barcode, and then prioritize it.

Further, the processing of specific orders has time limit, such as urgent orders, and non-urgent task orders cannot be scheduled before the urgent orders are scheduled. In addition, you can also set the scheduling cycle, which has a certain ratio for the scheduling of specific orders and non-specific orders. For example, 30 orders are scheduled in 1 minute, of which the first 20 are urgent orders and the last 10 are non-urgent orders .

In addition, the current matching SKU set can be determined by the scheduling buffer. Specifically, the scheduling task line (a task line: SKU-required outbound quantity-workstation) is matched with the SKU line in the SKU set, and based on the scheduling The task rows in the buffer are grouped by workstation.

The method provided by the above embodiment provides an idea of analyzing the characteristic information of an order to prioritize production scheduling for a specific order, which is convenient for orderly scheduling and outputting the order, and ensures the order of production scheduling.

The order grouping strategy provided by the embodiment of the present invention can combine orders into a collection order through a warehouse management system, such as an unmanned warehouse, and bind them to the slots of the workstations for production scheduling and output.

In addition, when forming an order, it is also necessary to consider the deadline of the order, the priority of order scheduling, the number and type of free slots on the workstation, as well as the current order, the order with the bound slot, and the storage on the shelf that is being shipped. SKU similarity.

The method provided by the embodiment of the present invention realizes a warehouse management system for special distribution of orders by establishing multiple independent order pools. The method shown can greatly reduce the number of interactions between goods and people, and reduce system service pressure and complexity. , which provides the possibility to establish a distributed system architecture; the order diversion strategy based on the SKU information of each storage area can reduce the generation of merged orders, balance the workload of each storage area workstation, improve the order processing efficiency, and provide users with It provides convenience for goods and benefits for enterprises.

Referring to FIG. 6 , it shows a schematic diagram of main modules of an order distribution device 600 provided by an embodiment of the present invention, including:

An order receiving module 601, configured to receive an order and obtain order information of the order;

The order distribution module 602 is configured to determine the order pool corresponding to the order information, and transmit the order to the storage area corresponding to the determined order pool for production scheduling; wherein, the order pool has a mapping relationship with the storage area.

In the implementation device of the present invention, the order distribution module 602 is used for:

When the quantity of the order pool is one, transfer the order to the storage area corresponding to the order pool for production scheduling; or

When there are multiple order pools, calculate the scores of each order pool according to the predetermined order pool score calculation method, determine the first order pool with the smallest score, and transfer the order to the storage area corresponding to the first order pool for processing Scheduling.

In the implementation device of the present invention, the order distribution module 602 is used for:

According to the formula

Calculate the score q of each order pool; among them, m _k is the total number of orders to be completed in the kth order pool, n _k is the number of workstations currently used by the kth order pool, and a is the weight coefficient of the kth order pool , ρ _k is the degree of coincidence between the order and the inventory set of the kth order pool.

The implementation device of the present invention also includes an order splitting module 603, which is used for:

When there is no order pool corresponding to the order information, the order information in the order is split according to the order pool to obtain multiple sub-orders;

Each sub-order is transmitted to the corresponding second order pool, and the transmitted sub-orders are scheduled in the storage area corresponding to the second order pool.

The implementation device of the present invention also includes an order processing module 604, which is used for:

When it is detected that the order has characteristic information, it is determined that the order is a specific order, and the order is preferentially transmitted to the storage area for production scheduling.

The device provided by the embodiment of the present invention realizes a warehouse management system for special distribution of orders by establishing multiple independent order pools. The device shown can greatly reduce the number of interactions between goods and people, and reduce system service pressure and complexity. , which provides the possibility to establish a distributed system architecture; the order diversion strategy based on the SKU information of each storage area can reduce the generation of merged orders, balance the workload of each storage area workstation, improve the order processing efficiency, and provide users with Goods, bringing benefits to enterprises provides convenience.

In addition, the specific implementation content of the apparatus for configuring form options described in the embodiment of the present invention has been described in detail in the above-mentioned method for configuring form options, so repeated content will not be described here.

Referring to FIG. 7 , an exemplary system architecture 700 to which the order distribution method or the order distribution device according to the embodiment of the present invention can be applied is shown.

As shown in FIG. 7 , a system architecture 700 may include terminal devices 701 , 702 , and 703 , a network 704 and a server 705 . The network 704 is used as a medium for providing communication links between the terminal devices 701 , 702 , 703 and the server 705 . Network 704 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others.

Users can use terminal devices 701, 702, 703 to interact with server 705 through network 704 to receive or send messages and the like. Various communication client applications can be installed on the terminal devices 701, 702, 703, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social system software, etc. (just for example).

The terminal devices 701, 702, and 703 may be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

The server 705 may be a server that provides various services, such as a background management server that provides support for shopping websites browsed by users using the terminal devices 701 , 702 , and 703 (just an example). The background management server can analyze and process the received data such as product information query requests, and feed back the processing results (such as target push information, product information—just an example) to the terminal device.

It should be noted that the method for arranging objects in a list provided by the embodiment of the present invention is generally executed by the server 705 , and correspondingly, the device for arranging objects in a list is generally set in the server 705 .

It should be understood that the numbers of terminal devices, networks and servers in FIG. 7 are only illustrative. According to the implementation needs, there can be any number of terminal devices, networks and servers.

Referring to FIG. 8 , it shows a schematic structural diagram of a computer system 800 suitable for implementing a terminal device according to an embodiment of the present invention. The terminal device shown in FIG. 8 is only an example, and should not limit the functions and scope of use of this embodiment of the present invention.

As shown in FIG. 8 , a computer system 800 includes a central processing unit (CPU) 801 that can be programmed according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage section 808 into a random-access memory (RAM) 803 Instead, various appropriate actions and processes are performed. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801 , ROM 802 , and RAM 803 are connected to each other via a bus 804 . An input/output (I/O) interface 805 is also connected to bus 804 .

The following components are connected to the I/O interface 805: an input section 806 including a keyboard, a mouse, etc.; an output section 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 808 including a hard disk, etc. and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 810 as necessary so that a computer program read therefrom is installed into the storage section 808 as necessary.

In particular, according to the disclosed embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the disclosed embodiments of the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 809 and/or installed from removable media 811 . When this computer program is executed by a central processing unit (CPU) 801, the above-mentioned functions defined in the system of the present invention are performed.

It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program codes therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. . Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that includes one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a A combination of dedicated hardware and computer instructions.

The modules involved in the embodiments described in the present invention may be realized by software or by hardware. The described modules can also be set in a processor, for example, it can be described as: a processor includes an order receiving module and an order distribution module. Wherein, the names of these modules do not constitute a limitation of the module itself under certain circumstances, for example, the order distribution module can also be described as "order distribution to order pool module".

As another aspect, the present invention also provides a computer-readable medium. The computer-readable medium may be contained in the device described in the above embodiments, or it may exist independently without being assembled into the device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the device, the device includes:

Receive orders and obtain order information for said orders;

An order pool corresponding to the order information is determined, and the order is transferred to a storage area corresponding to the determined order pool for production scheduling; wherein, the order pool has a mapping relationship with the storage area.

According to the technical solution of the embodiment of the present invention, by establishing multiple independent order pools, a warehouse management system for special distribution of orders can be realized. The device shown can greatly reduce the number of interactions between goods and people, and reduce system service pressure and complexity. , which provides the possibility to establish a distributed system architecture; the order diversion strategy based on the SKU information of each storage area can reduce the generation of merged orders, balance the workload of each storage area workstation, improve the order processing efficiency, and provide users with Goods, bringing benefits to enterprises provides convenience.

The above specific implementation methods do not constitute a limitation to the protection scope of the present invention. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (12)

1. a kind of order shunt method characterized by comprising

Order is received, the order information of the order is obtained；

It determines order corresponding with order information pond, transmits the order to warehouse district corresponding with identified order pond Middle carry out scheduled production；Wherein, order pond and warehouse district have mapping relations.

2. the method according to claim 1, wherein the transmission order to identified order pond phase Scheduled production is carried out in the warehouse district answered includes:

When the quantity in order pond is one, transmits in the order to warehouse district corresponding with the order pond and carry out scheduled production； Or

When the quantity in order pond is multiple, according to scheduled order pond score calculation, the score in each order pond is calculated, It determines fractional value the smallest first order pond, transmits and arranged in the order to warehouse district corresponding with first order pond It produces.

3. according to the method described in claim 2, it is characterized in that, described according to scheduled order pond score calculation, meter The score for calculating each order pond includes:

According to formula

Calculate the score q in each order pond；Wherein, m_kFor the total quantity of k-th of order pond order to be done, n_kFor k-th of order The currently used work station quantity in pond, a are the weight coefficient in k-th of order pond, ρ_kFor the order and k-th of order Chi Ku Deposit the registration of set.

4. the method according to claim 1, wherein further include:

When order pond corresponding with the order information is not present, the order information in the order is carried out according to order pond It splits, obtains multiple sub- orders；

Each sub- order is transmitted into corresponding second order pond, to being passed in warehouse district corresponding with second order pond Defeated sub- order carries out scheduled production.

5. the method according to claim 1, wherein the transmission order to identified order pond phase Scheduled production is carried out in the warehouse district answered further include:

When detecting that the order has characteristic information, determine that the order is specific indent, order described in prioritised transmission is extremely Scheduled production is carried out in the warehouse district.

6. a kind of order part flow arrangement characterized by comprising

Order reception module obtains the order information of the order for receiving order；

Order diverter module, for determine order corresponding with order information pond, transmit the order extremely with it is identified Scheduled production is carried out in the corresponding warehouse district in order pond；Wherein, order pond and warehouse district have mapping relations.

7. device according to claim 6, which is characterized in that the order diverter module is used for:

When the quantity in order pond is one, transmits in the order to warehouse district corresponding with the order pond and carry out scheduled production； Or

When the quantity in order pond is multiple, according to scheduled order pond score calculation, the score in each order pond is calculated, It determines fractional value the smallest first order pond, transmits and arranged in the order to warehouse district corresponding with first order pond It produces.

8. device according to claim 7, which is characterized in that the order diverter module is used for:

According to formula

Calculate the score q in each order pond；Wherein, m_kFor the total quantity of k-th of order pond order to be done, n_kFor k-th of order The currently used work station quantity in pond, a are the weight coefficient in k-th of order pond, ρ_kFor the order and k-th of order Chi Ku Deposit the registration of set.

9. device according to claim 6, which is characterized in that further include that order splits module, be used for:

When order pond corresponding with the order information is not present, the order information in the order is carried out according to order pond It splits, obtains multiple sub- orders；

Each sub- order is transmitted into corresponding second order pond, to being passed in warehouse district corresponding with second order pond Defeated sub- order carries out scheduled production.

10. device according to claim 6, which is characterized in that further include Ordering Module, be used for:

When detecting that the order has characteristic information, determine that the order is specific indent, order described in prioritised transmission is extremely Scheduled production is carried out in the warehouse district.

11. a kind of electronic equipment characterized by comprising

One or more processors；

Storage device, for storing one or more programs,

When one or more of programs are executed by one or more of processors, so that one or more of processors are real Now such as method as claimed in any one of claims 1 to 5.

12. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor Such as method as claimed in any one of claims 1 to 5 is realized when row.