CN115049332B - Network inventory information determining method of warehouse network and electronic equipment - Google Patents
Network inventory information determining method of warehouse network and electronic equipment Download PDFInfo
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Abstract
The disclosure provides a network inventory information determining method and electronic equipment of a warehouse network, and relates to a warehouse management technology, comprising the following steps: generating network inventory conditions when the storage network stores the target commodity based on a preset rule; acquiring storage information of a target commodity, and determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of each storage node in the storage network; the network inventory cost is determined according to the network inventory information, and the target inventory information is determined in each network inventory information according to the network inventory cost of each network inventory information corresponding to each network inventory condition. The scheme can generate various network inventory information and determine target inventory information with lower cost from the various network inventory information. And the supply relation among the storage nodes is considered when the network inventory information is generated, and the network inventory information of the multi-stage storage nodes can be determined based on the supply relation among the storage nodes, so that a more reasonable inventory scheme is obtained.
Description
Technical Field
The disclosure relates to a network inventory information determining method of a warehouse network and electronic equipment, and belongs to the field of warehouse management.
Background
Inventory optimization is a key technology of a warehouse management link, and an inventory optimization model is generally established in single-stage warehouse, and an inventory optimization scheme is established based on the model.
However, in some more complex warehouse networks, the number of commodities among warehouses is related, if each stage of warehouse is independently built with an own inventory optimization model, deviation of the results of the layer-by-layer inventory optimization may be caused in the process of multi-stage demand and inventory optimization, and a scheme with high warehouse cost is generated.
Therefore, how to formulate an inventory optimization scheme for commodities in a warehouse network is a technical problem to be solved.
Disclosure of Invention
The disclosure provides a network inventory information determining method and electronic equipment of a warehouse network, so as to generate network inventory information for the warehouse network comprising multiple stages of nodes.
A first aspect of the present disclosure provides a method for determining network inventory information of a warehouse network, including:
Generating network inventory conditions when a storage network stores target commodities based on preset rules, wherein the network inventory conditions comprise safety inventory conditions for storing the target commodities for each storage node in the storage network;
Acquiring storage information of the target commodity, and determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of all storage nodes in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network;
Determining network inventory cost according to the network inventory information, and determining target inventory information in the network inventory information according to the network inventory cost of the network inventory information corresponding to each network inventory condition, wherein the target inventory information is used for determining an inventory scheme of the storage network for storing the target commodity.
Another aspect of the present disclosure provides a network inventory information determining apparatus of a warehouse network, including:
The condition generation unit is used for generating network inventory conditions when the storage network stores target commodities based on preset rules, wherein the network inventory conditions comprise safety inventory conditions for storing the target commodities for each storage node in the storage network;
a storage information acquisition unit configured to acquire storage information of the target commodity;
The inventory information determining unit is used for determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of all the storage nodes in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network;
a target inventory information determining unit, configured to determine a network inventory cost according to the network inventory information, and determine a network inventory cost according to each network inventory information corresponding to each network inventory condition; and determining target inventory information in the network inventory information, wherein the target inventory information is used for determining an inventory scheme of the storage network for storing the target commodity.
Yet another aspect of the present disclosure is to provide an electronic device, including:
A memory;
A processor; and
A computer program;
Wherein the computer program is stored in the memory and configured to be executed by the processor to implement the network inventory information determination method of the warehousing network according to the first aspect described above.
It is yet another aspect of the present disclosure to provide a computer readable storage medium having stored thereon a computer program which is executed by a processor to implement the network inventory information determining method of the warehousing network according to the first aspect described above.
A further aspect of the present disclosure is to provide a computer program product comprising a computer program which, when executed by a processor, implements a network inventory information determination method of a warehousing network as described in the first aspect above.
The network inventory information determining method of the warehouse network and the electronic equipment provided by the disclosure have the technical effects that:
The method for determining the network inventory information of the warehouse network and the electronic device provided by the embodiment comprise the following steps: generating network inventory conditions when the storage network stores the target commodity based on a preset rule, wherein the network inventory conditions comprise safety inventory conditions for storing the target commodity by each storage node in the storage network; acquiring storage information of a target commodity, and determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of all storage nodes in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network; the network inventory cost is determined according to the network inventory information, and the target inventory information is determined in each network inventory information according to the network inventory cost of each network inventory information corresponding to each network inventory condition. In the implementation manner, various network inventory conditions can be traversed, and network inventory information under the various network inventory conditions is generated, so that target inventory information with lower cost can be determined from the various network inventory information. And the supply relation among the storage nodes is considered when the network inventory information is generated, and the network inventory information of the multi-stage storage nodes can be determined based on the supply relation among the storage nodes, so that a more reasonable inventory scheme is obtained. The commodity inventory is managed through a more reasonable inventory scheme, so that the commodity inventory cost can be reduced, and the circulation efficiency of commodities can be optimized.
Drawings
FIG. 1 is a schematic diagram of a warehousing network shown in an exemplary embodiment;
FIG. 2 is a flow chart of a method for determining network inventory information of a warehouse network according to an exemplary embodiment of the present disclosure;
FIG. 3 is a flow chart of a method for determining network inventory information of a warehouse network according to another exemplary embodiment of the present disclosure;
Fig. 4 is a schematic diagram of a warehousing network shown in a first exemplary embodiment of the disclosure;
fig. 5 is a schematic diagram of a warehousing network shown according to a second exemplary embodiment of the disclosure;
Fig. 6 is a block diagram of a network inventory information determining device of a warehouse network according to an exemplary embodiment of the present disclosure;
Fig. 7 is a block diagram of a network inventory information determining device of a warehouse network according to another exemplary embodiment of the present disclosure;
fig. 8 is a block diagram of an electronic device shown in an exemplary embodiment of the present disclosure.
Detailed Description
Fig. 1 is a schematic diagram of a warehousing network shown in an exemplary embodiment.
The warehousing network refers to a network comprising a plurality of warehousing nodes, wherein the warehousing nodes have a cargo supply relationship. For example, for a certain commodity, the first warehouse node 11 in the warehouse network may supply the second warehouse node 12, the second warehouse node 12 supplies the third warehouse node 13, and the third warehouse node 13 supplies the store 14, where the store may be a physical store or a virtual store in the network.
To reduce inventory costs, some inventory optimization schemes are typically generated, for example, an inventory optimization model may be set for a single-level warehouse node having a supply relationship, for example, for a first warehouse node 11 and a second warehouse node 12, with which an inventory optimization scheme is generated for both warehouse nodes. Because the storage nodes are different, the storage optimization models of the single-stage storage nodes are different.
Generally, if there is a supply relationship between the storage nodes, there is a relationship between the number of commodities between the storage nodes, and if an inventory optimization scheme of the storage nodes is determined based on an inventory model of each level of storage nodes, there is a deviation between inventory optimization results between the storage nodes, so that the cost of each storage node in the storage network cannot be effectively reduced.
In view of the above technical problems, when determining target inventory information of a storage network, the solution provided by the present disclosure may generate different node inventory conditions for storage nodes in the storage network to obtain different network inventory conditions, determine different network inventory information for the storage network under the different network inventory conditions, and then screen out network inventory information with lower cost from a plurality of network inventory information as the target inventory information. In the implementation mode, the safety stock condition of all the storage nodes in the storage network for storing the target commodity is considered, and the determined stock information among all levels of storage nodes cannot deviate, so that the stock optimization of the multi-level storage nodes can be realized.
Fig. 2 is a flowchart illustrating a method for determining network inventory information of a warehouse network according to an exemplary embodiment of the present disclosure.
As shown in fig. 2, the method for determining network inventory information of a warehouse network provided by the present disclosure includes:
Step 201, generating network inventory conditions when the warehouse network stores the target commodity based on a preset rule, wherein the total inventory information comprises safety inventory conditions for storing the target commodity by each warehouse node in the warehouse network.
The method provided by the present disclosure may be performed by an electronic device having computing capabilities, such as a computer. The electronic equipment can generate network inventory information of the storage network under different network inventory conditions based on the scheme, and further can determine target inventory information with the lowest cost from a plurality of network inventory information, and the target inventory information is used as an inventory optimization scheme for storing target commodities in the storage network.
Specifically, the electronic device may generate a network inventory condition for the warehouse network to store the target commodity. For example, the electronic device may set any node in the network repository to store the target commodity without maintaining the safety stock, that is, the network stock condition of the node for storing the target commodity is the non-maintaining safety stock, and may set any node in the network repository to store the target commodity with maintaining the safety stock, thereby obtaining the network stock condition.
Safety stock is a buffer stock prepared to prevent future uncertainty in commodity supply or demand, such as large numbers of sudden orders, unexpected breaks in delivery, or sudden delays, etc. Whether the storage node keeps the safety stock can influence the network stock information of the whole storage network, so that various network stock information can be generated by setting a mode of keeping the safety stock or not keeping the safety stock for the storage node.
Further, preset rules may be set that characterize how to set the safety stock conditions for each storage node in the network storage. For example, when a network inventory condition is first generated, a first storage node in the network storage is set to be an unreserved safety inventory, and other storage nodes are set to be reserved safety inventory. When the network inventory condition is generated for the second time, the first storage node and the second storage node in the network storage are set to be non-reserved safety inventory, and other storage nodes are set to be reserved safety inventory and the like.
In practical application, the electronic device can traverse all storage nodes in the storage network, and can generate all possible network inventory conditions by adjusting the safety inventory conditions of the storage nodes.
Step 202, obtaining storage information of a target commodity.
Step 203, determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of each storage node in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network.
The electronic equipment can determine network inventory information of the storage network under the network inventory conditions according to each network inventory condition, wherein the network inventory information comprises node inventory information of storage nodes in the storage network, and the node inventory information characterizes information when the storage nodes are used for storing target commodities. For example, the amount of safety stock, conditions for ordering the target commodity, etc. may be included.
In practical application, each storage node has a safety stock condition, and if the storage node does not need to keep the safety stock, the safety stock quantity of the storage node when storing the target commodity is 0. If the storage node needs to keep the safety stock, the safety stock quantity of the storage node when storing the target commodity can be determined.
Specifically, in general, a plurality of commodities can be stored in the warehouse network, and inventory strategies of different types of commodities can also be different, so that storage information of a target commodity can also be obtained, and the storage information refers to information of the inventory strategy of the target commodity. Inventory policies may include (R, Q) policies, (R, S) policies, (t, Q) policies, (t, S) policies, and the like. For example, the inventory policy of the target commodity may be an (R, Q) policy, and the obtained storage information of the target commodity may be to store the target commodity based on the (R, Q) policy.
Further, the electronic equipment determines network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of each storage node in the storage network. Wherein the network inventory information includes node inventory information for storage nodes in the storage network.
In practical application, the electronic device may further obtain data of the target commodity between adjacent storage nodes, for example, order data between storage nodes, for example, order data of a store ordering the target commodity from the storage nodes, and the like, and based on the data, it may be determined that demand information and supply information of each storage node for the target commodity, for example, storage node a supplies the target commodity to storage node B, for example, the demand of storage node a for the target commodity is n A, and the supply advance period of storage node a for supplying the target commodity to storage node B is T ab. The early supply period refers to the period between when the warehouse node B sends an order request to the warehouse node a and when the target commodity reaches the warehouse node B.
If the safety stock condition of one storage node C is set as the non-reserved safety stock, the stock is not prepared to be a buffer stock prepared for coping with the change of the uncertainty factors such as the demand, the lead time and the like, for example, the upstream storage node of C is B, the downstream storage node is D, and if C is the non-reserved safety stock, the safety stock of C may be 0.
If the safety stock condition of one storage node is set to be the safety stock, the storage node stores the buffer stock of the target commodity, so that the safety stock of the storage node is not 0, and the safety stock of the storage node can be determined.
In this way, the node inventory information of each warehouse node under the current network library condition can be determined according to the data of the target commodity supplied between the warehouse nodes. For example, the service level of the downstream node can be satisfied only when the secure inventory of one of the storage nodes can be determined to be n. For another example, it can be determined that a warehouse node needs m for the target commodity, so that node inventory information of an upstream node of the warehouse node can be determined based on the data.
According to different network inventory conditions, node inventory information of storage nodes in the storage network can be determined, and then the network inventory information is obtained.
In the implementation manner, the network inventory information of the storage network can be determined based on the supply relation among the storage nodes, and the linkage relation among the storage nodes is considered, so that the network inventory information can be generated for the storage network more accurately, and further more accurate network inventory cost can be obtained.
Step 204, determining a network inventory cost according to the network inventory information, and determining target inventory information in each network inventory information according to the network inventory cost of each network inventory information corresponding to each network inventory condition.
Wherein the network inventory cost may be determined for each type of network inventory information. The node inventory information is used for representing the inventory policy of the storage node for storing the target commodity, and when the node inventory information is different, the policy of the storage node for storing the target commodity is also different, for example, the safety stock quantity is different, for example, the condition for ordering the target commodity is different, and the like.
Specifically, the node inventory cost of the storage node for storing the target commodity can be determined according to the node inventory information of the storage node.
Further, the network inventory costs may include, in particular, the cost of the warehouse node ordering the target commodity, the cost of storing the target commodity, the backorder cost when the target commodity needs to be sent downstream, and so on.
During practical application, simulation can be performed according to node inventory information of each storage node, the number of times that the storage node needs to order target commodities, the number of target commodities stored in average, the number of backorders when the storage node needs to supply the commodities to the downstream storage node and the like are determined, and then the node storage cost of the storage node can be determined according to the data.
The node inventory cost of each storage node in the storage network can be overlapped, so that the network inventory cost of the whole storage network is obtained.
Specifically, in the solution provided in the present disclosure, a plurality of network inventory conditions may be generated, and network inventory information under each network inventory condition may also be determined, and a network inventory cost of each network inventory information may also be determined. And then, screening out target inventory information with the lowest network inventory cost from various network inventory information, and determining an inventory scheme for storing target commodities in the storage network based on the target inventory information. For example, a node inventory scheme may be generated for each storage node in the storage network according to node inventory information of each storage node included in the target inventory information.
The network inventory information determining method of the warehouse network provided by the disclosure comprises the following steps: generating network inventory conditions when the storage network stores the target commodity based on a preset rule, wherein the network inventory conditions comprise safety inventory conditions for storing the target commodity by each storage node in the storage network; acquiring storage information of a target commodity, and determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of all storage nodes in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network; the network inventory cost is determined according to the network inventory information, and the target inventory information is determined in each network inventory information according to the network inventory cost of each network inventory information corresponding to each network inventory condition. In the implementation manner, various network inventory conditions can be traversed, and network inventory information under the various network inventory conditions is generated, so that target inventory information with lower cost can be determined from the various network inventory information. And the supply relation among the storage nodes is considered when the network inventory information is generated, and the network inventory information of the multi-stage storage nodes can be determined based on the supply relation among the storage nodes, so that a more reasonable inventory scheme is obtained, commodity inventory is managed through the more reasonable inventory scheme, commodity inventory cost can be reduced, and commodity circulation efficiency is optimized.
Fig. 3 is a flowchart illustrating a method for determining network inventory information of a warehouse network according to another exemplary embodiment of the present disclosure.
As shown in fig. 3, the method for determining network inventory information of a warehouse network provided by the present disclosure includes:
Step 301, determining a safety stock condition for storing target commodities in a first part of storage nodes included in a storage network as a reserved safety stock; and determining the safety stock condition corresponding to the storage target commodity as non-reserved safety stock by using a second part of nodes in the storage nodes included in the storage network.
The electronic device may determine a first partial node in the warehousing network, for example, may determine the first warehousing node in the warehousing network as the first partial node. And determining a security inventory condition for the first portion of nodes to store the target commodity as retaining the security inventory. The storage nodes except the first part of nodes in the storage network are second part of nodes, and the electronic equipment can determine the safety stock conditions corresponding to the storage target commodities of the second part of nodes as non-reserved safety stock.
Specifically, the electronic device may generate a plurality of network inventory conditions for the warehousing network, the first portion of nodes in different network inventory conditions being different. For example, when the network inventory condition is generated for the first time, a first storage node in the storage network is a first part of nodes, and when the network inventory condition is generated for the second time, the first storage node and a second storage node in the storage network are first part of nodes.
Further, the electronic device may traverse all possible scenarios, thereby generating network inventory conditions for all possible scenarios.
Step 302, obtaining storage information of a target commodity.
In an optional implementation manner, the electronic device may acquire preset commodity classification information, and determine a class of the target commodity according to the commodity classification information; and determining the storage information of the target commodity according to the corresponding relation between the preset category and the storage information.
In the solution provided in the present disclosure, the commodity classification information may also be generated based on the commodity feature, where the commodity may include the target commodity.
Sample data of the same commodity is obtained, wherein the data comprises characteristics of multiple dimensions of the commodity, such as the size, selling price, entering price and the like of the commodity. Multiple pieces of sample data may be acquired.
And processing the plurality of pieces of sample data of the commodity to determine the target characteristics of the commodity. The target feature is a feature of the commodity that varies greatly, and for example, in a plurality of pieces of sample data, the commodity can be determined as the target feature if the commodity has a large price variation. Specifically, discretization and normalization processing can be performed on features with different dimensions in a plurality of pieces of sample data by adopting methods such as equal-width discretization, equal-frequency discretization, clustering discretization and the like, so that target features with larger differences among the sample data are determined.
Type tags for the goods may also be obtained, which may include, for example, core goods, channel goods, investment goods, and the like.
The predicted sales data of the commodity can also be obtained, and the sales label of the commodity is determined according to the predicted sales data, such as seasonal commodity, holiday commodity, long-tail commodity, conventional commodity and the like.
The type tag, the sales tag and the target feature of the commodity can be combined to classify the commodity, for example, the commodity with the same type tag, the same type tag and the same target feature is classified into the same class. The merchandise classification results may be stored in the form of a classification tree.
The corresponding storage information may be set for each category, and may be, for example, (R, Q) policy, (R, S) policy, (t, Q) policy, or (t, S) policy.
Step 303, determining the supply lead time information of the storage nodes according to the safety stock conditions of each storage node in the storage network for storing the target commodity.
In practical application, the upstream storage node in the storage network supplies goods for the downstream storage node. The goods supply advance period of one storage node refers to the time length of receiving the target goods issued by the upstream storage node after the storage node sends a request for ordering the target goods to the upstream storage node.
Fig. 4 is a schematic diagram of a warehousing network shown according to a first exemplary embodiment of the disclosure.
As shown in fig. 4, the arrows in the figure indicate the direction of supply of the target commodity between the warehouse nodes in the warehouse network, for example, the warehouse node 41 supplies the target commodity to the warehouse node 42. If the safety stock condition of the warehouse node 44 is the non-reserved safety stock, when determining the supply lead time information of the warehouse node 45, the supply lead time of the warehouse node 45 can be determined according to the supply lead time information between the warehouse node 43 and the warehouse node 44 and the supply lead time information between the warehouse node 44 and the warehouse node 45.
Wherein the storage node 43 is an upstream storage node of the storage node 44, and the storage node 45 is a downstream storage node of the storage node 44.
The lead time information may affect node inventory information for the warehousing nodes. For example, the information of the supply advance period of the storage node indicates that the supply advance period is longer, and then an order request can be sent to the upstream storage node when the storage quantity of the storage node is higher. If the information of the supply advance period of the storage node indicates that the supply advance period is shorter, an order request can be sent to the upstream storage node when the storage quantity of the storage node is lower. Therefore, the node inventory information of each storage node can be determined according to the supply lead period information of each storage node in the storage network.
Specifically, the electronic device may determine a pair of supply nodes in the warehousing network according to the current network inventory conditions.
If the node inventory condition of the storage node P is the non-reserved safety inventory, when determining the supply advance information, the storage node P and the upstream storage node P1 thereof can be considered to directly supply the goods to the downstream storage node P2 of the storage node P, so that the upstream storage node P1 and the downstream storage node P2 can be determined as a supply node pair. Since the warehouse node P1 will send the target commodity to the warehouse node P during the cargo transferring, the warehouse nodes P1 and P can also be used as a pair of supply nodes.
If two warehouse nodes exist in the warehouse nodes and have a direct or indirect supply relation, and the safety stock condition of the upstream warehouse node is that the safety stock is reserved, the two warehouse nodes can be determined as a supply node pair.
Fig. 5 is a schematic diagram of a warehousing network shown according to a second exemplary embodiment of the disclosure.
As shown in fig. 5, there is a warehousing network as shown in fig. 5, for example. The electronic device may set the safety stock condition of a first part of the nodes therein to be reserved safety stock and the safety stock condition of a second part of the nodes therein to be unreserved safety stock.
The filled circles in fig. 5 represent storage nodes for which safety stock conditions are present, and the open circles represent storage nodes for which safety stock conditions are not present. For example, in the figures, warehouse nodes 51 and 52 are a supply node pair, warehouse nodes 52 and 54 are a supply node pair, and warehouse nodes 52 and 53 are a supply node pair.
Wherein, the adjacent supply period information between the adjacent storage nodes in the storage network can be preset. The adjacent warehousing nodes refer to warehousing nodes with direct supply relations in a warehousing network, and the adjacent warehousing nodes are only identical to the structure in the warehousing network and are irrelevant to network inventory conditions generated by electronic equipment. For example, in the warehouse network structure shown in fig. 5, the warehouse nodes 51 and 52 are adjacent warehouse nodes, the warehouse nodes 52 and 53 are adjacent warehouse nodes, and the warehouse nodes 53 and 54 are adjacent warehouse nodes.
Specifically, historical order information between adjacent warehouse nodes can be obtained; and determining adjacent supply period information between adjacent warehouse nodes according to the historical order information. For example, the order duration from the order sending request to the target commodity receiving in each historical order can be determined according to the historical order information between the adjacent warehouse nodes, and then the adjacent supply period information between the adjacent warehouse nodes is determined according to the order duration.
Further, the standard deviation and the expectations may be determined based on order duration, and in this implementation, the adjacent supply period information may include the standard deviation and the expectations.
In practical application, the supply lead period information of the downstream warehouse node in the supply node pair can be determined according to the adjacent supply period information.
In the application scene, if the upstream warehouse node and the downstream warehouse node in the supply node pair are adjacent warehouse nodes, adjacent supply period information between the upstream warehouse node and the downstream warehouse node is determined as supply advance period information of the downstream warehouse node.
In the implementation mode, the supply lead period information of the storage node is determined based on the historical order information, so that the supply lead period information which is more in line with the actual situation can be obtained.
As shown in fig. 5, the supply node pair includes the stocker nodes 51 and 52, and the stocker nodes 51 and 52 are adjacent stocker nodes, and thus, adjacent supply period information between the stocker nodes 51 and 52 can be directly determined as supply lead period information of the stocker node 52.
In another application scenario, if the upstream warehousing node and the downstream warehousing node in the supply node pair are not adjacent warehousing nodes, determining an intermediate warehousing node between the upstream warehousing node and the downstream warehousing node according to the warehousing network.
As shown in fig. 5, the supply node pair includes warehouse nodes 52 and 54, with warehouse nodes 52 and 54 being non-adjacent warehouse nodes, and thus, an intermediate warehouse node 53 between warehouse nodes 52 and 54 may be determined.
And then determining adjacent storage nodes according to the upstream storage node, the middle storage node and the downstream storage node. For example, it may be determined that a stocker node 52 and stocker node 53 are adjacent stocker nodes, and a stocker node 53 and stocker node 54 are adjacent stocker nodes.
Wherein, the supply advance period information of the downstream warehouse node can be determined according to the adjacent supply period information between the adjacent warehouse nodes. The adjacent supply period information can be superimposed to obtain supply advance period information of the downstream storage node. For example, adjacent supply period information between the warehouse node 52 and the warehouse node 53 and adjacent supply period information between the warehouse node 53 and the warehouse node 54 may be superimposed to obtain supply lead period information for the warehouse node 54.
Step 304, determining node inventory information of storage nodes in the storage network according to the storage information of the target commodity and the supply lead period information of the storage nodes; wherein the network inventory information includes node inventory information.
Specifically, after the supply advanced period information is determined, the storage information of the target commodity can be utilized to process the supply advanced period information of the storage node, so as to obtain node inventory information of the storage node. For example, the storage information characterization can plan the inventory of the target commodity based on the (R, Q) strategy, and then the supply lead information of the storage node can be processed based on the (R, Q) strategy to obtain the node inventory information when the storage node is used for storing the target commodity.
Further, the network inventory information includes node inventory information for each of the warehousing nodes, where the warehousing nodes may not include end nodes in the warehousing network, i.e., stores.
In practical application, the demand information of the storage node on the target commodity can also be obtained. The demand information can specifically determine the demand of the storage node for the target commodity according to order information between the storage node and the downstream storage node, and the demand information is used for representing the replenishment demand of the storage node.
If the storage node is provided with a plurality of downstream storage nodes, the demand information between the storage node and each downstream storage node can be overlapped, so that the demand information of the storage node on the target commodity is obtained.
The storage node can also acquire the ordering cost of ordering target commodities from the upstream storage node, the ordering cost can be determined in advance based on historical orders, and the storage cost of storing the target commodities and the stock-out cost during shipment of the target commodities can also be acquired.
The ordering cost refers to the cost when the warehouse node orders the target commodity once from the upstream warehouse node; the storage cost refers to the cost generated when the storage node stores target commodities, and specifically can be the cost generated when a plurality of target commodities are stored every day; the stock-out cost refers to profit lost per missing target commodity when the stock-out node sends out the target commodity to the downstream stock-out node.
Specifically, the supply lead period, the demand information, the storage cost, the order cost and the stock shortage cost can be processed based on the storage information, so that node inventory information of the storage nodes is obtained. For example, an inventory model may be preset, and the inventory model may process the supply lead period, the demand information, the storage cost, the order cost, and the stock shortage cost according to the inventory policy of the target commodity, so as to obtain node inventory information of the storage node.
Optionally, in any one of the above implementations, the node inventory information of the warehouse node includes a secure inventory amount of the storage target commodity, an order condition of the order target commodity, and a single order amount of the single order target commodity.
If the warehousing node is set to be non-reserved safety stock, the safety stock quantity in the determined node stock information is 0.
Step 305, determining the node cost according to the node inventory information of the storage nodes in the storage network.
Specifically, under the current generated network inventory condition, the scheme provided by the disclosure can determine node inventory information of the storage nodes in the storage network, for example, the safe inventory quantity of the storage nodes for storing target commodities, for example, the ordering condition of the storage nodes for ordering the target commodities, and for example, the single ordering quantity of the storage nodes for ordering the target commodities once.
Further, the electronic device may determine, based on the information of the storage node, a node cost for the storage node to store the target commodity.
In practical applications, the cost of the storage node storing the target commodity may include the cost generated when the target commodity is ordered from the upstream storage node, the cost of the storage node storing the target commodity, and the cost generated by the backorder when the target commodity is shipped to the downstream storage node. The costs can be determined according to the node inventory information of each storage node, and then the costs are superimposed, so that the node cost of the storage node is determined.
In an alternative implementation, the node cost determined in the solution provided in the present disclosure may be a cost generated by the warehouse node storing the target commodity for one year.
When the node cost of the storage node is determined, the electronic equipment can acquire the order cost, the storage cost and the stock-out cost of the storage node to the target commodity.
Specifically, the electronic device may determine, according to node inventory information of the storage node, the order count of the ordered target commodity, the average inventory count of the stored target commodity, and the stock-out count when shipment is required, and determine the node cost according to the order cost, the order count, the stock cost, the average inventory count, the stock-out cost, and the stock-out count.
For example, when determining the cost generated by storing the target commodity by the storage node for one year, the order number of the storage node from the upstream storage node in one year can be determined according to the node inventory information, and then the product of the order number and the order cost is used as the cost required by ordering the target commodity by the storage node in one year; the average inventory quantity of the target commodity in one year can be determined according to the node inventory information, the product of the average inventory quantity and the inventory cost of one target commodity in one day is determined, the cost of the target commodity in one day of the storage node is obtained, and the cost required by the target commodity in one year can be obtained by combining the number of days in the whole year; the method can also determine the stock quantity of the current storage node when the downstream storage node needs to order according to the stock information of a plurality of nodes in the storage network, for example, the stock quantity of target commodities in the current storage node and the arrival time of the target commodities sent by the upstream storage node when the order condition of the downstream storage node is met can be determined, and then whether the current storage node is out of stock or not can be determined when the goods are delivered, and if the goods are out of stock, the product of the stock quantity and the stock-out cost can be used as the cost generated when the goods are out of stock when the storage node is delivered.
In an alternative implementation, the node inventory information of the warehousing node includes a single order quantity of the warehousing node for a single order of the target commodity.
When the ordering times of ordering target commodities are determined according to the node inventory information of the storage nodes, the demand information of the storage nodes on the target commodities can be obtained, and the annual demand of the storage nodes is determined according to the demand information; and determining the order times of the storage nodes according to the annual demand and the single order quantity.
The requirement information of the storage node on the target commodity can be determined according to the historical order information, for example, the number of ordered target commodities can be determined from the historical order information between the storage node and a downstream node of the storage node, and the standard deviation and the expected of the storage node on the target commodity are determined.
Specifically, the annual demand of the warehousing node can be determined according to the standard deviation and the expectation of the warehousing node on the target commodity. For example, the determined expected value is used to characterize the daily average demand of the storage node for the target commodity, and the product of the expected value of the storage node for the target commodity and the annual number of days can be utilized as the annual demand of the storage node for the target commodity.
Further, the ratio of the determined annual demand to the single order may be used as the number of orders for the warehouse node.
The determined node inventory information comprises the safe inventory quantity of the target commodity stored by the storage node and the ordering condition of ordering the target commodity by the storage node.
When the average inventory quantity of the storage target commodities is determined according to the node inventory information of the storage nodes, the supply lead time information of the storage nodes can be obtained; and determining the average in-warehouse quantity of the storage nodes according to the safe stock quantity of the storage nodes, the supply lead time of the storage nodes and the replenishment condition of the storage nodes.
The early supply period refers to the period of time when the target commodity issued by the upstream warehouse node is received after the warehouse node sends a request for ordering the target commodity to the upstream warehouse node. The historical order information between the storage node and the storage node at the upstream side of the storage node can be used for determining, for example, the supply duration corresponding to each order can be determined, and the standard deviation and the expectation are determined by using the supply durations, so that the supply advance information of the storage node is obtained. The lead period information includes data such as standard deviation and expectations.
The method can determine the time when the goods supplementing condition of the storage node is met according to the goods supplying advance period of the storage node, the storage node can receive the goods delivering time of the upstream storage node, so that the quantity of the goods which can be increased in the storage node when the time is reached is determined, and the quantity of the goods stored in the storage node can be determined by combining the safe storage quantity of the storage node.
In this way, the number of target commodities stored in the warehousing nodes at different times can be determined, so that the average inventory number of the warehousing nodes is determined.
In an alternative implementation, the average number of libraries may be determined by means of simulation. The method can simulate the time that the downstream storage node orders target commodity from the current storage node when the ordering condition is met, and can also obtain the time that the current storage node orders the target commodity and the target commodity reaches from the upstream storage node when the ordering condition is met, so that the average warehouse quantity of the storage node is predicted more accurately.
When the method is actually applied, when the quantity of the backorders required to be delivered is determined according to the node inventory information of the storage nodes which keep the safety inventory, the goods supply advance period information of the storage nodes and the in-stock inventory data of the storage nodes can be determined according to the node inventory information of each storage node in the storage network; the method comprises the steps of obtaining demand information of storage nodes, and determining the quantity of the stock shortage of the storage nodes when the storage nodes need to be delivered according to the supply lead time information of the storage nodes, the stock-in-stock data of the storage nodes and the demand information.
The supply advance information and the demand information of the storage node can be obtained in the manner in the above embodiment, and will not be described in detail.
The electronic device can determine the in-store data of the target commodity in the storage nodes at different time points, for example, the ordering time of the downstream storage node, the time of sending the target commodity by the storage node and the reaching time of the target commodity sent by the upstream storage node, so that the in-store data of the target commodity in the storage nodes at different time points can be determined. In particular, the method can be obtained by a simulation mode. For example, the amount of inventory in the warehouse node of the target commodity at time T1 may be determined.
Specifically, the electronic device can also determine the demand information after the time T1, that is, the information of the target commodity sent to the downstream storage node, specifically, the commodity number, and the electronic device can compare the commodity number to be sent with the determined storage number, so as to determine whether the target commodity is out of stock or not and the out of stock number when the target commodity is sent to the downstream storage node.
Further, the stock out number of the warehouse node can be determined through simulation.
Step 306, determining a network inventory cost corresponding to the network inventory information according to the cost of each node.
In practical application, the electronic equipment can superimpose the node cost of each storage node to obtain the network inventory cost of the storage network.
After step 306, step 301 may further be performed to generate other network inventory information, thereby obtaining network inventory costs corresponding to the other network inventory information. Until all possible network inventory conditions have been traversed.
Step 307, determining target inventory information in each network inventory information according to the network inventory cost.
Step 307 is similar to the corresponding content in step 204 and will not be described again.
Fig. 6 is a block diagram of a network inventory information determining device of a warehouse network according to an exemplary embodiment of the present disclosure.
As shown in fig. 6, the network inventory information determining apparatus 600 of the warehouse network provided in this embodiment includes:
A condition generating unit 610, configured to generate a network inventory condition when a storage network stores a target commodity based on a preset rule, where the network inventory condition includes a safety inventory condition of each storage node in the storage network for storing the target commodity;
a stored information acquiring unit 620, configured to acquire stored information of the target commodity;
An inventory information determining unit 630, configured to determine network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of each storage node in the storage network, where the network inventory information includes node inventory information of the storage nodes in the storage network;
A target inventory information determining unit 640 for determining a network inventory cost according to the network inventory information and a network inventory cost according to each network inventory information corresponding to each network inventory condition; and determining target inventory information in the network inventory information, wherein the target inventory information is used for determining an inventory scheme of the storage network for storing the target commodity.
Fig. 7 is a block diagram of a network inventory information determining device of a warehouse network according to another exemplary embodiment of the present disclosure.
As shown in fig. 7, on the basis of the foregoing embodiment, the network inventory information determining device 700 of the warehouse network provided in this embodiment, optionally, the condition generating unit 610 includes:
A first generating module 611, configured to determine, as a reserved safety stock, a safety stock condition for storing the target commodity in a first part of storage nodes included in the storage network;
A second generating module 622, configured to determine, as an unreserved safety stock, a safety stock condition corresponding to the target commodity stored in a second part of storage nodes included in the storage network.
Optionally, the inventory information determining unit 630 includes:
The lead period determining module 631 is configured to determine lead period information of the storage nodes according to the safety stock conditions of the storage nodes in the storage network for storing the target commodity
An inventory information determining module 632 configured to determine node inventory information of warehouse nodes in the warehouse network according to the storage information of the target commodity and the supply lead period information of the warehouse nodes; wherein the network inventory information includes the node inventory information.
Optionally, the storage node is configured to store a safety stock condition of the target commodity, including: a reserved safety stock and an unreserved safety stock;
the advance period determining module 631 is specifically configured to:
Determining a supply node pair according to the safety stock condition of each storage node in the storage network for storing the target commodity, wherein a commodity supply relation exists between an upstream storage node and a downstream storage node in the supply node pair, and the safety stock condition of the upstream storage node in the supply node pair is safety stock reservation;
and acquiring adjacent supply period information between adjacent storage nodes in the storage network, and determining supply advance period information of a downstream storage node in the supply node pair according to the adjacent supply period.
Optionally, the advance period determining module 631 is specifically configured to:
And if the upstream storage node and the downstream storage node in the supply node pair are adjacent storage nodes, determining adjacent supply period information between the upstream storage node and the downstream storage node as supply advance period information of the downstream storage node.
Optionally, the advance period determining module 631 is specifically configured to:
If the upstream warehousing node and the downstream warehousing node in the supply node pair are not adjacent warehousing nodes, determining an intermediate warehousing node between the upstream warehousing node and the downstream warehousing node according to the warehousing network;
and determining adjacent storage nodes according to the upstream storage nodes, the intermediate storage nodes and the downstream storage nodes, and determining the supply advance period information between the upstream storage nodes and the downstream storage nodes according to the adjacent supply period information between the adjacent storage nodes.
Optionally, the inventory information determining module 632 is specifically configured to:
Acquiring the demand information of the storage node on the target commodity, the storage cost, the ordering cost and the stock-out cost of the storage node;
and processing the supply lead period, the demand information, the storage cost, the order cost and the stock shortage cost according to the storage information of the target commodity to obtain node inventory information of the storage node.
Optionally, the node inventory information of the storage node includes a secure inventory amount for storing the target commodity, an order condition for ordering the target commodity, and a single order amount for ordering the target commodity.
Optionally, the target inventory information determining unit 640 includes a cost determining module 641 for:
determining node cost according to node inventory information of storage nodes in the storage network;
And determining the network inventory cost corresponding to the network inventory information according to the node cost.
Optionally, the cost determining module 641 is specifically configured to:
Acquiring the ordering cost, the storage cost and the stock shortage cost of the target commodity by the storage node;
determining the order number of ordering the target commodity, and storing the average inventory number and the stock shortage number of the target commodity when the target commodity is required to be delivered according to the node inventory information of the storage nodes;
Determining the node cost based on the order cost, the order count, the stock cost, the average inventory count, the backorder cost, and the backorder count.
Optionally, the node inventory information includes a single order quantity of the target commodity for a single order of the storage node;
the cost determination module 641 is specifically configured to:
Acquiring demand information of the storage node on the target commodity, and determining annual demand of the storage node according to the demand information;
and determining the order times of the storage nodes according to the annual demand and the single order quantity.
Optionally, the node inventory information includes a secure inventory amount of the target commodity stored by the storage node and an ordering condition of ordering the target commodity by the storage node;
the cost determination module 641 is specifically configured to:
acquiring the information of the supply lead period of the storage node;
And determining the average inventory number of the storage nodes according to the safety inventory quantity of the storage nodes, the supply lead period of the storage nodes and the replenishment condition of the storage nodes.
Optionally, the cost determining module 641 is specifically configured to:
determining the quantity of the backorders when the backorders are required according to the node inventory information of the storage nodes, wherein the method comprises the following steps:
determining the supply lead period information of storage nodes and the storage data of the storage nodes according to the node inventory information of each storage node in the storage network;
and acquiring the demand information of the storage node, and determining the quantity of the stock out of the storage node when the storage node needs to be delivered according to the supply advance information of the storage node, the stock data of the storage node and the demand information.
Fig. 8 is a block diagram of an electronic device shown in an exemplary embodiment of the present disclosure.
As shown in fig. 8, the electronic device provided in this embodiment includes:
A memory 81;
A processor 82; and
A computer program;
wherein the computer program is stored in the memory 81 and is configured to be executed by the processor 82 to implement any of the network inventory information determination methods of a warehousing network as described above.
The present embodiment also provides a computer-readable storage medium, having stored thereon a computer program,
The computer program is executed by a processor to implement any of the network inventory information determination methods of the warehousing network as described above.
The present embodiment also provides a computer program comprising program code which, when run by a computer, performs any of the network inventory information determination methods of a warehousing network as described above.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present disclosure, and not for limiting the same; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present disclosure.
Claims (14)
1. A method for determining network inventory information of a warehouse network, comprising:
Generating network inventory conditions when a storage network stores target commodities based on preset rules, wherein the network inventory conditions comprise safety inventory conditions for storing the target commodities for each storage node in the storage network;
Acquiring storage information of the target commodity, and determining network inventory information corresponding to the network inventory conditions according to the storage information and the safety inventory conditions of all storage nodes in the storage network, wherein the network inventory information comprises node inventory information of the storage nodes in the storage network;
Determining network inventory cost according to the network inventory information, and determining target inventory information in the network inventory information according to the network inventory cost of the network inventory information corresponding to each network inventory condition, wherein the target inventory information is used for determining an inventory scheme of the storage network for storing the target commodity.
2. The method of claim 1, wherein generating network inventory conditions for the warehouse network to store the target commodity based on the preset rules comprises:
Determining a safety stock condition for storing the target commodity as a reserved safety stock of a first part of nodes in storage nodes included in the storage network;
And determining the safety stock condition corresponding to the target commodity as non-reserved safety stock by using a second part of nodes in the storage nodes included in the storage network.
3. The method of claim 1, wherein the determining network inventory information corresponding to the network inventory conditions based on the stored information and the safety inventory conditions of each of the warehousing nodes in the warehousing network comprises:
determining the supply lead time information of storage nodes according to the safety stock conditions of the storage nodes in the storage network for storing the target commodity;
Determining node inventory information of storage nodes in the storage network according to the storage information of the target commodity and the supply lead period information of the storage nodes; wherein the network inventory information includes the node inventory information.
4. A method according to claim 3, wherein the warehousing node for storing the safety stock conditions of the target commodity comprises: a reserved safety stock and an unreserved safety stock;
the determining the supply lead time information of the storage nodes according to the safety stock condition of each storage node in the storage network for storing the target commodity comprises the following steps:
Determining a supply node pair according to the safety stock condition of each storage node in the storage network for storing the target commodity, wherein a commodity supply relation exists between an upstream storage node and a downstream storage node in the supply node pair, and the safety stock condition of the upstream storage node in the supply node pair is safety stock reservation;
and acquiring adjacent supply period information between adjacent storage nodes in the storage network, and determining supply advance period information of a downstream storage node in the supply node pair according to the adjacent supply period.
5. The method of claim 4, wherein said determining lead time information for a downstream warehousing node in the pair of supply nodes based on the adjacent supply time comprises:
And if the upstream storage node and the downstream storage node in the supply node pair are adjacent storage nodes, determining adjacent supply period information between the upstream storage node and the downstream storage node as supply advance period information of the downstream storage node.
6. The method of claim 4, wherein said determining lead time information for a downstream warehousing node in the pair of supply nodes based on the adjacent supply time comprises:
If the upstream warehousing node and the downstream warehousing node in the supply node pair are not adjacent warehousing nodes, determining an intermediate warehousing node between the upstream warehousing node and the downstream warehousing node according to the warehousing network;
and determining adjacent storage nodes according to the upstream storage nodes, the intermediate storage nodes and the downstream storage nodes, and determining the supply advance period information between the upstream storage nodes and the downstream storage nodes according to the adjacent supply period information between the adjacent storage nodes.
7. The method of claim 3, wherein the determining node inventory information for a warehouse node in the warehouse network based on the stored information for the target commodity and the lead date information for the warehouse node comprises:
Acquiring the demand information of the storage node on the target commodity, the storage cost, the ordering cost and the stock-out cost of the storage node;
and processing the supply lead period, the demand information, the storage cost, the order cost and the stock shortage cost according to the storage information of the target commodity to obtain node inventory information of the storage node.
8. The method of any of claims 3-7, wherein the node inventory information of the warehousing node includes a secure inventory amount storing the target commodity, an order condition for ordering the target commodity, and a single order amount for single ordering the target commodity.
9. The method of claim 1, wherein said determining a network inventory cost from said network inventory information comprises:
determining node cost according to node inventory information of storage nodes in the storage network;
And determining the network inventory cost corresponding to the network inventory information according to the node cost.
10. The method of claim 9, wherein determining the node cost based on the node inventory information of the warehousing nodes in the warehousing network comprises:
Acquiring the ordering cost, the storage cost and the stock shortage cost of the target commodity by the storage node;
determining the order number of ordering the target commodity, and storing the average inventory number and the stock shortage number of the target commodity when the target commodity is required to be delivered according to the node inventory information of the storage nodes;
Determining the node cost based on the order cost, the order count, the stock cost, the average inventory count, the backorder cost, and the backorder count.
11. The method of claim 10, wherein the node inventory information includes a single order volume for the warehouse node to order the target commodity a single time;
determining the order number of ordering the target commodity according to the node inventory information of the storage node, including:
Acquiring demand information of the storage node on the target commodity, and determining annual demand of the storage node according to the demand information;
and determining the order times of the storage nodes according to the annual demand and the single order quantity.
12. The method of claim 10, wherein the node inventory information includes a secure inventory amount of the target commodity stored by the warehousing node, an order condition for the target commodity ordered by the warehousing node;
determining the average inventory quantity for storing the target commodity according to the node inventory information of the warehouse node, wherein the method comprises the following steps:
acquiring the information of the supply lead period of the storage node;
And determining the average inventory number of the storage nodes according to the safety inventory quantity of the storage nodes, the supply lead period of the storage nodes and the replenishment condition of the storage nodes.
13. The method of claim 11, wherein the step of determining the position of the probe is performed,
Determining the quantity of the backorders when the backorders are required according to the node inventory information of the storage nodes, wherein the method comprises the following steps:
determining the supply lead period information of storage nodes and the storage data of the storage nodes according to the node inventory information of each storage node in the storage network;
and acquiring the demand information of the storage node, and determining the quantity of the stock out of the storage node when the storage node needs to be delivered according to the supply advance information of the storage node, the stock data of the storage node and the demand information.
14. An electronic device, comprising:
A memory;
A processor; and
A computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-13.
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