CN113538080A - Task list splitting method and device - Google Patents

Task list splitting method and device Download PDF

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Publication number
CN113538080A
CN113538080A CN202010312861.9A CN202010312861A CN113538080A CN 113538080 A CN113538080 A CN 113538080A CN 202010312861 A CN202010312861 A CN 202010312861A CN 113538080 A CN113538080 A CN 113538080A
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warehouse
target
task list
splitting
information
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苏小龙
杜博
张峰
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials

Abstract

The invention discloses a task list splitting method and device, and relates to the technical field of computers. One embodiment of the method comprises: acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; and determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list. This embodiment has improved the split efficiency of task list, has promoted the split effect.

Description

Task list splitting method and device
Technical Field
The invention relates to the technical field of computers, in particular to a task list splitting method and device.
Background
With the development of internet business, a user can purchase a plurality of articles at the same time on one e-commerce platform, that is, one task list may contain a plurality of types of articles, and the plurality of types of articles are not located in the same warehouse, which may involve splitting the task list.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
the existing task list splitting method mainly adopts a single-target splitting method, or utilizes a greedy algorithm or a set rule strategy to split a task list, and has the problems of low splitting efficiency, low splitting effect and the like.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for splitting a task list, which can improve splitting efficiency of the task list and improve a splitting effect.
To achieve the above object, according to a first aspect of the embodiments of the present invention, there is provided a task list splitting method, including:
acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse;
constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition;
and determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
Further, splitting the target includes at least one of the following: the target warehouse comprises a quantity target of the target warehouses, a priority target corresponding to a first target warehouse and a total priority target corresponding to the rest target warehouses, wherein the first target warehouse is a target warehouse with the highest priority level in the target warehouse set.
Further, the quantity target for the target warehouse indicates that a total quantity of target warehouses included in the target warehouse set is less than or equal to the quantity threshold; the priority target corresponding to the first target warehouse indicates that the priority value corresponding to the first target warehouse is smaller than or equal to a first priority threshold value; the total priority targets for the remaining target warehouses indicates that the sum of the priority values for the remaining target warehouses in the target warehouse set is less than or equal to a second priority threshold.
Further, the job ticket information indicates the amount of demand corresponding to each type of article in the job ticket, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
Further, the constraint includes at least one of: warehouse ex-warehouse quantity constraint, target warehouse constraint, warehouse priority constraint and total demand constraint.
Further, before the step of constructing the task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition, the task list splitting method further comprises the following steps: setting weight coefficients for the split targets, and determining the solving sequence of the split targets according to the weight coefficients.
Further, when the number of the split targets is greater than one, the step of determining the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set based on the solution of the task list split model includes: and according to the solving sequence of the split targets, sequentially solving each split target in the task list split model and the corresponding constraint condition to determine the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set.
Further, the warehouse information also indicates the sequence of the warehouses in the warehouse list, and the warehouse-out quantity corresponding to each target warehouse is determined according to the sequence of the target warehouses in the warehouse list and the stock quantity of each type of goods in each target warehouse.
According to a second aspect of the embodiments of the present invention, there is provided a task list splitting apparatus, including:
the information acquisition module is used for acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse;
the model building module is used for building a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition;
and the splitting module is used for determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
According to a third aspect of embodiments of the present invention, there is provided an electronic apparatus, including:
one or more processors;
a storage device for storing one or more programs,
when executed by one or more processors, cause the one or more processors to implement any of the task list splitting methods described above.
According to a fourth aspect of embodiments of the present invention, there is provided a computer-readable medium, on which a computer program is stored, which when executed by a processor, implements any one of the above-described task list splitting methods.
One embodiment of the above invention has the following advantages or benefits: the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of a main flow of a task list splitting method provided according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a main flow of a task list splitting method provided according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a main flow of a task list splitting method provided according to a third embodiment of the present invention;
FIG. 4 is a schematic diagram of the main modules of a task list splitting apparatus provided according to an embodiment of the present invention;
FIG. 5 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 6 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. 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.
Fig. 1 is a schematic diagram of a main flow of a task list splitting method provided according to a first embodiment of the present invention; as shown in fig. 1, the task list splitting method provided in the embodiment of the present invention mainly includes:
step S101, acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse.
Specifically, according to the embodiment of the present invention, the job ticket information indicates the demand amount corresponding to each type of article in the job ticket, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
The demand quantity of each type of article in the task list, the types of the inventory articles in each warehouse, the corresponding inventory quantity and other information are obtained, so that the subsequent splitting of the task list is facilitated, and the types and the delivery quantity of the corresponding articles in the warehouses are determined.
And S102, constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition.
Specifically, according to an embodiment of the present invention, splitting the target includes at least one of the following targets: the target warehouse comprises a quantity target of the target warehouses, a priority target corresponding to a first target warehouse and a total priority target corresponding to the rest target warehouses, wherein the first target warehouse is a target warehouse with the highest priority level in the target warehouse set.
According to an embodiment of the invention, the target warehouse quantity target indicates that a total quantity of target warehouses included in the target warehouse set is less than or equal to a quantity threshold; the priority target corresponding to the first target warehouse indicates that the priority value corresponding to the first target warehouse is smaller than or equal to a first priority threshold value; the total priority targets for the remaining target warehouses indicates that the sum of the priority values for the remaining target warehouses in the target warehouse set is less than or equal to a second priority threshold.
Specifically, the quantity target of the target warehouse: indicating that the required items in the task order are to be allocated by the stocks in the several warehouses, specifically, the target of the minimum target warehouse quantity can be indicated by setting a quantity threshold;
the priority target corresponding to the first target warehouse is as follows: it is indicated that a warehouse having a higher priority is selected as a target of the first target warehouse as much as possible within the selectable warehouse range, and in particular, it can be determined by setting a first priority threshold; if the higher the level of the set priority is, the smaller the corresponding priority value is, the priority value corresponding to the first target warehouse is less than or equal to a first priority threshold; if the higher the level of the set priority is, the larger the corresponding priority value is, the priority value corresponding to the first target warehouse is greater than or equal to a first priority threshold value;
the total optimization targets corresponding to the other target warehouses are as follows: in the case where the number of target warehouses is greater than 1, the target with the first target warehouse removed so that the sum of the priority values corresponding to the remaining target warehouses (i.e., the remaining target warehouses) is the smallest may be determined, specifically, by setting the second priority threshold.
Through setting up a plurality of split targets, can select one or more (more than or equal to two) split targets according to actual demand, then construct task list split model to make the split result (be target warehouse and the volume of leaving warehouse that corresponds) satisfy actual demand, further promoted task list split effect.
According to an embodiment of the invention, the constraints comprise at least one of the following: warehouse ex-warehouse quantity constraint, target warehouse constraint, warehouse priority constraint and total demand constraint.
Wherein, warehouse ex-warehouse quantity constraint: indicating that the warehouse-out quantity of a certain type of articles corresponding to the current warehouse needs to be less than or equal to the warehouse quantity of the certain type of articles in the warehouse;
target warehouse constraints: indicating that the pick of the target warehouse needs to be determined from the warehouses defined by the quantity target of the target warehouse.
Warehouse priority constraints: indicating that only one warehouse can be selected for maximum priority;
total demand constraint: it is indicated that for each type of item, its ex-warehouse quantity in all warehouses needs to be equal to the total demand for that type of item.
Further, according to the embodiment of the present invention, before the step of constructing the task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition, the task list splitting method further includes: setting weight coefficients for the split targets, and determining the solving sequence of the split targets according to the weight coefficients.
Through the setting, a corresponding weight coefficient is set for each splitting target according to the actual splitting requirement, so that the splitting result preferentially meets the splitting target with a larger weight coefficient; meanwhile, the lexicographic order of the split targets (which refers to the order of solving each target in multi-target optimization and is called the lexicographic order, namely the solving order) can be determined according to the weight coefficients, so that the task list split model can be sequentially solved according to the lexicographic order of the split targets subsequently, and the splitting efficiency and the splitting effect are improved.
And step S103, determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
According to the embodiment of the present invention, when the number of the split targets is greater than one, the step of determining the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set based on the solution of the task list split model further includes: and according to the solving sequence of the split targets, sequentially solving each split target in the task list split model and the corresponding constraint condition to determine the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set.
Specifically, the lexicographic order (i.e., solving order) of the split targets indicates the weight coefficients of the split targets, the split targets with higher weight coefficients in the task list split model and the corresponding constraint conditions thereof are solved preferentially according to the lexicographic order of the split targets, then the split targets with lower weight coefficients in the task list split model and the corresponding constraint conditions thereof are solved, and finally the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set are determined.
Further, according to the embodiment of the present invention, the warehouse information further indicates an order of each warehouse in the warehouse list, and the warehouse-out amount corresponding to the target warehouse is determined according to the order of the target warehouse in the warehouse list and the stock amount of each type of article in the target warehouse.
Through the arrangement, the warehouse-out quantity of each type of article in each target warehouse can be conveniently and quickly determined, and the splitting efficiency of the task list is further improved. Specifically, according to the embodiment of the present invention, the inventory amount corresponding to each target warehouse may also be determined according to the existing means.
According to the technical scheme of the embodiment of the invention, the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
Fig. 2 is a schematic diagram of a main flow of a task list splitting method provided according to a second embodiment of the present invention; as shown in fig. 2, an application scenario of the task list splitting method provided in the embodiment of the present invention is a task list splitting method corresponding to a single split target form (that is, a weight coefficient corresponding to a split target is used to construct a task list splitting model), which mainly includes:
step S201, acquiring the job ticket information and the warehouse information.
Specifically, according to the embodiment of the present invention, the job ticket information indicates the demand amount corresponding to each type of article in the job ticket, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
The demand quantity of each type of article in the task list, the types of the inventory articles in each warehouse, the corresponding inventory quantity and other information are obtained, so that the subsequent splitting of the task list is facilitated, and the types and the delivery quantity of the corresponding articles in the warehouses are determined.
Specifically, according to a specific implementation manner of the embodiment of the present invention, the task list information includes n types of items (sku) and a demand amount corresponding to each sku. Can be expressed as:
sku_quantity＝{sku_id1:d1,sku_id2:d2,sku_id3:d3,…,sku_idn:dn}
the warehouse information includes skus in each warehouse of the m warehouses and the stock corresponding to each sku, and may be expressed as:
WareHouse_id1＝{sku_id1:a11,sku_id2:a12,…,sku_idn:a1n}
WareHouse_id2＝{sku_id1:a21,sku_id2:a22,…,sku_idn:a2n}
WareHouse_id3＝{sku_id1:a31,sku_id2:a32,…,sku_idn:a3n}
…
WareHouse_idm＝{sku_id1:am1,sku_id2:am2,…,sku_idn:amn}
step S202, corresponding priorities are configured for all warehouses.
Specifically, the warehouse priority value (prior) is a positive integer, and the higher the priority, the lower the corresponding value. According to a specific implementation of the embodiment of the present invention, the warehouse priority may be expressed as:
WareHousePrior＝{WareHouse_id1:p1,WareHouse_id2:p2,…,WareHo
use_idm:pm}
and step S203, constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition.
According to the embodiment of the invention, the split targets comprise a number target of the target warehouses, a priority target corresponding to the first target warehouse and a total priority target corresponding to the other target warehouses, wherein the first target warehouse is a target warehouse with the highest priority level in the target warehouse set.
Wherein the quantity target of the target warehouse is: indicating that items required within the task order are to be allocated by inventory within several warehouses, specifically, a goal that may indicate a minimum target warehouse quantity;
the priority target corresponding to the first target warehouse is as follows: indicating that a warehouse with a higher priority level is selected as a target of the first target warehouse as far as possible from the range of selectable warehouses;
the total optimization targets corresponding to the other target warehouses are as follows: and in the case that the number of the target warehouses is greater than 1, removing the first target warehouse so as to enable the sum of the priority values corresponding to the rest of the target warehouses (namely the rest of the target warehouses) to be minimum.
Through setting up a plurality of split targets, can select one or more (more than or equal to two) split targets according to actual demand, then construct task list split model to make the split result (be target warehouse and the volume of leaving warehouse that corresponds) satisfy actual demand, further promoted task list split effect.
Further, according to the embodiment of the present invention, the task list splitting method further includes: setting weight coefficients for the split targets, and determining the solving sequence of the split targets according to the weight coefficients.
Through the setting, a corresponding weight coefficient is set for each splitting target according to the actual splitting requirement, so that the splitting result preferentially meets the splitting target with a larger weight coefficient; meanwhile, the lexicographic order (namely the solving order) of the split targets can be determined according to the weight coefficients, so that the task list split model can be sequentially solved according to the lexicographic order of the split targets subsequently, and the splitting efficiency and the splitting effect are improved.
Specifically, according to the embodiment of the present invention, the constructed task list splitting model is as follows:
Figure BDA0002458507850000091
wherein x isiAnd yiAre all decision variables, where xi1 means that the ith warehouse is selected, xi0 means that the ith warehouse is not selected, yi1 means that the ith warehouse is determined to be the highest priority warehouse (i.e., the first target warehouse), yi0 means that the ith bin is determined not to be the highest priority bin. z is a radical ofije.N, representing the ex-warehouse quantity of the jth item (sku) of the ith warehouse, wherein i is 1,2, …, m; j is 1,2, …, n. 10 in the formula4、100、10-4、10-8In addition, according to the embodiment of the present invention, the task list splitting model may adopt a min function or a max function, and accordingly, the adjustment of the weight coefficient also needs to be performed according to which of the min function or the max function is adopted, for example, if the task list splitting model is constructed by adopting the min function in the above formula, the main splitting target needs to be provided with the weight coefficient corresponding to the splitting target, and the specific numerical value of the weight coefficient is only an example and can be specifically adjusted in practical application
Figure BDA0002458507850000101
Configuring a larger weight coefficient, and setting a smaller weight coefficient for the secondary split target; if the max is adopted to construct the task list splitting model, a smaller weight coefficient needs to be correspondingly set for the main splitting target, and a larger weight coefficient needs to be set for the secondary splitting target. The optimization of the priority of the splitting target can be realized through the setting.
Further, according to an embodiment of the present invention, the constraint conditions include:
constraint of warehouse delivery quantity: indicating that the warehouse-out quantity of a certain type of articles corresponding to the current warehouse needs to be less than or equal to the warehouse quantity of the certain type of articles in the warehouse; the concrete expression is as follows:
zij≤aij(j＝1,2,…,n；i＝1,2,…,m)
target warehouse constraints: indicating that the selection of the target warehouse requires a determination from the warehouses defined by the quantity target of the target warehouse; the concrete expression is as follows:
zij≤xi*30000，yi≤xi
wherein, in the above formula, when xiWhen 0 (i.e. when the ith bin is not selected), zijAnd yiThe corresponding value is also 0, that is, it expresses that the selection of the target warehouse needs to be limited from the warehouses limited by the quantity target of the target warehouse, 30000 in the formula only represents a larger value, as long as the value is larger than the maximum inventory amount in the warehouse, and the specific value can be adjusted according to the actual situation.
Warehouse priority constraints: indicating that only one warehouse can be selected for maximum priority; the concrete expression is as follows:
Figure BDA0002458507850000111
total demand constraint: indicating that for each type of item, its ex-warehouse quantity in all warehouses needs to be equal to the total demand for that type of item; the concrete expression is as follows:
Figure BDA0002458507850000112
and the corresponding target warehouse after the task list is split is utilized to the maximum efficiency through the total demand constraint.
And step S204, determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
According to the technical scheme of the embodiment of the invention, the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
Fig. 3 is a schematic diagram of a main flow of a task list splitting method provided according to a third embodiment of the present invention; as shown in fig. 3, an application scenario of the task list splitting method provided in the embodiment of the present invention is a task list splitting method corresponding to a plurality of split target forms (that is, sequentially constructing a task list splitting model for each split target and corresponding constraint conditions and then sequentially solving the split target), which mainly includes:
step S301, acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse.
Specifically, according to the embodiment of the present invention, the job ticket information indicates the demand amount corresponding to each type of article in the job ticket, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
The demand quantity of each type of article in the task list, the types of the inventory articles in each warehouse, the corresponding inventory quantity and other information are obtained, so that the subsequent splitting of the task list is facilitated, and the types and the delivery quantity of the corresponding articles in the warehouses are determined.
Step S302, a first task list splitting model is constructed according to the task list information, the warehouse information, the quantity target of the target warehouse and the constraint condition.
Specifically, according to the embodiment of the present invention, the first task list splitting model is constructed as follows:
Figure BDA0002458507850000121
wherein x isiAnd yiAre all decision variables, where xi1 means that the ith warehouse is selected, xi0 means that the ith warehouse is not selected.
According to the embodiment of the present invention, the constraint condition in constructing the first task list splitting model is an inventory constraint, that is, the inventory of the corresponding type of item in each warehouse is greater than the demand of the item indicated in the task list, which may be specifically expressed as:
Figure BDA0002458507850000122
wherein, aijIndicating the inventory of type j items in warehouse i, djRepresenting the demand for type j items in the job ticket.
Step S303, obtaining the number of target warehouses based on the solution of the first task list splitting model.
Through the setting, the number b of the target warehouses can be obtained, and the subsequent task list splitting model is constructed and solved according to the number b of the target warehouses.
And step S304, constructing a second task list splitting model according to the number of the target warehouses, the priority targets corresponding to the first target warehouse and the constraint conditions.
Specifically, according to the embodiment of the present invention, the second task list splitting model is constructed as follows:
Figure BDA0002458507850000123
wherein, yi1 means that the ith warehouse is determined to be the highest priority warehouse (i.e., the first target warehouse), yi0 means that the ith bin is determined not to be the highest priority bin. p is a radical ofiIndicating the corresponding priority of warehouse i.
According to the embodiment of the present invention, the constraint condition in constructing the second task list splitting model is inventory constraint, and target warehouse constraint, that is, the first target warehouse needs to be selected from the number of target warehouses obtained by solving the first task list splitting model, which can be specifically expressed as:
Figure BDA0002458507850000131
and b is obtained in the solving process of the first task list splitting model, and according to a specific implementation mode of the embodiment of the invention, the value of b and the actual scene requirement can be set by self.
Figure BDA0002458507850000132
Representing a target warehouse quantity constraint, yi≤xiAnd
Figure BDA0002458507850000133
representing a target warehouse priority constraint.
Specifically, according to the embodiment of the present invention, the second task list splitting model still needs to satisfy constraint 1.
Step S305, determining a first target warehouse based on the solution of the second task list split model.
According to the embodiment of the present invention, after the first target warehouse is determined, the remaining demand may be updated according to the demand of each type of article indicated in the job ticket and the inventory of the corresponding type of article in the first target warehouse, that is, all the corresponding articles that can be supplied in the first target warehouse are supplied, if the inventory a in the first target warehouse is present, the first target warehouse may be determined to be the target warehouse corresponding to the maximum priorityij≤djIf so, all the goods are delivered and the demand is updated to dj＝dj-aijIf a in the first target warehouseij＞djThen the sku _ idj indicated in the job ticket information is deleted, i.e. the type of item is all supplied by the first target warehouse, and the remaining target warehouses are not required to supply the typeThe type goods are supplied, and the constraint condition about the type goods does not appear in the construction of the subsequent task list splitting model.
And S306, constructing a third task list splitting model according to the total priority targets and the constraint conditions corresponding to the rest target warehouses.
Specifically, according to the embodiment of the present invention, the third task list splitting model is constructed as follows:
Figure BDA0002458507850000141
according to the embodiment of the invention, the constraint conditions in the construction of the third task list splitting model are inventory constraint, demand constraint and target warehouse quantity constraint, and are represented by constraint conditions 4.
The demand constraint is expressed as:
Figure BDA0002458507850000142
the target warehouse quantity constraint means that the remaining target warehouses need to be selected from the target warehouse quantity obtained by solving the first task list splitting model, and can be specifically expressed as:
Figure BDA0002458507850000143
and step S307, obtaining a residual target warehouse based on the solution of the third constraint model.
And step S308, determining the delivery amount corresponding to each target warehouse according to the sequence of the target warehouse in the warehouse list and the stock quantity of each type of goods in the target warehouse.
It should be noted that, the task list splitting model is constructed with respect to the three splitting targets and the corresponding constraint conditions, each splitting target and the corresponding constraint condition thereof can be respectively calculated as a task list splitting problem, and the splitting result is obtained through construction and solution of the corresponding model. According to different practical application scenes, different splitting targets and constraint conditions can be correspondingly combined, different task list splitting models are constructed, and then required results are obtained.
According to a specific implementation manner of the embodiment of the invention, the split target 1 and the constraint condition 1 can be combined, a model of the minimum warehouse number under the condition of the common unknown minimum warehouse number is obtained by constructing the model, and then the warehouse is directly delivered according to the initialized sequence of the warehouse list, so that the delivery quantity without considering the priority sequence can be obtained; the split target 2 is combined with the constraint condition 1, the constraint condition 2, the constraint condition 3 and the constraint condition 4 to obtain a target warehouse with the highest priority in consideration of the priority of the target warehouse under the condition that the number of the minimum warehouses is known, wherein the number of the target warehouses can be calculated from the result of a model of the number of the minimum warehouses or can be directly configured by related personnel; by combining the split target 3 with the constraints 1 and 4, a task list split model with the lowest sum of the priority of the highest-priority target warehouse (i.e., the first target warehouse) and the priority of the remaining target warehouses can be obtained.
The above is only an example, and the task list splitting model can be constructed in various combinations according to the actual application scenario. By means of the arrangement, sequential modeling and solving are carried out according to the dictionary sequence of the split targets, and the shipment quantity corresponding to the optimal warehouse under the condition that the optimal priority and the sum of the priorities of the remaining target warehouses are the minimum under the condition that the number of the warehouses is the minimum can be obtained.
According to the technical scheme of the embodiment of the invention, the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
FIG. 4 is a schematic diagram of the main modules of a task list splitting apparatus provided according to an embodiment of the present invention; as shown in fig. 4, the task list splitting apparatus 400 provided in accordance with the embodiment of the present invention mainly includes:
the information obtaining module 401 is configured to obtain task list information and warehouse information, where the warehouse information indicates a priority corresponding to each warehouse.
Specifically, according to the embodiment of the present invention, the job ticket information indicates the demand amount corresponding to each type of article in the job ticket, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
The demand quantity of each type of article in the task list, the types of the inventory articles in each warehouse, the corresponding inventory quantity and other information are obtained, so that the subsequent splitting of the task list is facilitated, and the types and the delivery quantity of the corresponding articles in the warehouses are determined.
And the model building module 402 is used for building a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition.
Specifically, according to an embodiment of the present invention, splitting the target includes at least one of the following targets: the target warehouse comprises a quantity target of the target warehouses, a priority target corresponding to a first target warehouse and a total priority target corresponding to the rest target warehouses, wherein the first target warehouse is a target warehouse with the highest priority level in the target warehouse set.
According to an embodiment of the invention, the target warehouse quantity target indicates that a total quantity of target warehouses included in the target warehouse set is less than or equal to a quantity threshold; the priority target corresponding to the first target warehouse indicates that the priority value corresponding to the first target warehouse is smaller than or equal to a first priority threshold value; the total priority targets for the remaining target warehouses indicates that the sum of the priority values for the remaining target warehouses in the target warehouse set is less than or equal to a second priority threshold.
Specifically, the quantity target of the target warehouse: indicating that the required items in the task order are to be allocated by the stocks in the several warehouses, specifically, the target of the minimum target warehouse quantity can be indicated by setting a quantity threshold;
the priority target corresponding to the first target warehouse is as follows: it is indicated that a warehouse having a higher priority is selected as a target of the first target warehouse as much as possible within the selectable warehouse range, and in particular, it can be determined by setting a first priority threshold;
the total optimization targets corresponding to the other target warehouses are as follows: in the case where the number of target warehouses is greater than 1, the first target warehouse is removed so that the target with the smallest sum of priorities corresponding to the remaining target warehouses (i.e., the remaining target warehouses) can be determined, in particular, by setting the second priority threshold.
Through setting up a plurality of split targets, can select one or more (more than or equal to two) split targets according to actual demand, then construct task list split model to make the split result (be target warehouse and the volume of leaving warehouse that corresponds) satisfy actual demand, further promoted task list split effect.
According to an embodiment of the invention, the constraints comprise at least one of the following: warehouse ex-warehouse quantity constraint, target warehouse constraint, warehouse priority constraint and total demand constraint.
Wherein, warehouse ex-warehouse quantity constraint: indicating that the warehouse-out quantity of a certain type of articles corresponding to the current warehouse needs to be less than or equal to the warehouse quantity of the certain type of articles in the warehouse;
target warehouse constraints: indicating that the pick of the target warehouse needs to be determined from the warehouses defined by the quantity target of the target warehouse.
Warehouse priority constraints: indicating that only one warehouse can be selected for maximum priority;
total demand constraint: it is indicated that for each type of item, its ex-warehouse quantity in all warehouses needs to be equal to the total demand for that type of item.
Further, according to the embodiment of the present invention, before the step of constructing the task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition, the task list splitting method further includes: setting weight coefficients for the split targets, and determining the solving sequence of the split targets according to the weight coefficients.
Through the setting, a corresponding weight coefficient is set for each splitting target according to the actual splitting requirement, so that the splitting result preferentially meets the splitting target with a larger weight coefficient; meanwhile, the lexicographic order of the split targets (which refers to the order of solving each target in multi-target optimization and is called the lexicographic order, namely the solving order) can be determined according to the weight coefficients, so that the task list split model can be sequentially solved according to the lexicographic order of the split targets subsequently, and the splitting efficiency and the splitting effect are improved.
The splitting module 403 is configured to determine the target warehouse set and the warehouse-out amount corresponding to each target warehouse in the target warehouse set based on the solution of the task list splitting model, so as to complete splitting of the task list.
According to an example of the present invention, in the case that the number of split targets is greater than one, the above-mentioned formula splitting module 403 is further configured to: and according to the solving sequence of the split targets, sequentially solving each split target in the task list split model and the corresponding constraint condition to determine the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set.
Specifically, the lexicographic order of the split targets indicates the weight coefficients of the split targets, the split targets with higher weight coefficients in the task list split model and the corresponding constraint conditions are solved preferentially according to the lexicographic order of the split targets, then the split targets with lower weight coefficients in the task list split model and the corresponding constraint conditions are solved, and finally the target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set are determined.
Further, according to the embodiment of the present invention, the warehouse information further indicates an order of each warehouse in the warehouse list, and the warehouse-out amount corresponding to the target warehouse is determined according to the order of the target warehouse in the warehouse list and the stock amount of each type of article in the target warehouse.
Through the arrangement, the warehouse-out quantity of each type of article in each target warehouse can be conveniently and quickly determined, and the splitting efficiency of the task list is further improved. Specifically, according to the embodiment of the present invention, the inventory amount corresponding to each target warehouse may also be determined according to the existing means.
According to the technical scheme of the embodiment of the invention, the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
Fig. 5 illustrates an exemplary system architecture 500 to which a task list splitting method or a task list splitting apparatus of an embodiment of the present invention may be applied.
As shown in fig. 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504, and a server 505 (this architecture is merely an example, and the components included in a particular architecture may be adapted according to application specific circumstances). The network 504 serves to provide a medium for communication links between the terminal devices 501, 502, 503 and the server 505. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. The terminal devices 501, 502, 503 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 501, 502, 503 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 505 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 501, 502, 503. The backend management server may analyze and perform other processing on the received data such as the job ticket information and the warehouse information, and feed back a processing result (for example, the target warehouse and the corresponding warehouse-out amount thereof — only an example) to the terminal device.
It should be noted that the task list splitting method provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, the task list splitting apparatus is generally disposed in the server 505.
It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection 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, wire, fiber optic 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 the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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 the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an information acquisition module, a model building module, and a splitting module. The names of these modules do not in some cases constitute a limitation on the modules themselves, and for example, the information acquisition module may also be described as a "module for acquiring the job ticket information and the warehouse information".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; and determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
According to the technical scheme of the embodiment of the invention, the task list information and the warehouse information are acquired, wherein the warehouse information indicates the corresponding priority of each warehouse; constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition; the technical means of splitting the task list is completed by determining the target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model, so that the technical problems of low splitting efficiency and poor splitting effect in the existing task list splitting method are solved, and the technical effects of improving the splitting efficiency of the task list and improving the splitting effect are achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (11)

1. A task list splitting method is characterized by comprising the following steps:
acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse;
constructing a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition;
and determining a target warehouse set and the ex-warehouse quantity corresponding to each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
2. The task list splitting method according to claim 1, wherein the splitting target comprises at least one of the following targets: the method comprises a quantity target of target warehouses, a priority target corresponding to a first target warehouse and a total priority target corresponding to the rest of target warehouses, wherein the first target warehouse is the target warehouse with the highest priority level in the target warehouse set.
3. The task order splitting method according to claim 2, wherein the target warehouse quantity target indicates that a total quantity of target warehouses included in the target warehouse set is less than or equal to a quantity threshold; the priority target corresponding to the first target warehouse indicates that the priority value corresponding to the first target warehouse is less than or equal to a first priority threshold; the total priority target for the remaining target warehouses indicates that the sum of the priority values for the remaining target warehouses in the target warehouse set is less than or equal to a second priority threshold.
4. The method for splitting the task list according to claim 1, wherein the task list information indicates the required amount corresponding to each type of article in the task list, and the warehouse information indicates the type of article in each warehouse and the stock amount corresponding to each type of article.
5. The task list splitting method according to claim 1, wherein the constraint condition comprises at least one of the following: warehouse ex-warehouse quantity constraint, target warehouse constraint, warehouse priority constraint and total demand constraint.
6. The method of claim 1, wherein prior to the step of constructing a task sheet splitting model from the task sheet information, the warehouse information, split targets, and constraint conditions, the method further comprises: setting weight coefficients for the split targets, and determining the solving sequence of the split targets according to the weight coefficients.
7. The method according to claim 1, wherein, when the number of the split targets is greater than one, the step of determining a target warehouse set and an ex-warehouse quantity corresponding to each target warehouse in the target warehouse set based on the solution of the task list split model includes: and according to the solving sequence of the split targets, sequentially solving each split target in the task list split model and the corresponding constraint condition to determine the target warehouse set and the warehouse-out amount corresponding to each target warehouse in the target warehouse set.
8. The method for splitting the task list according to claim 7, wherein the warehouse information further indicates an order of each warehouse in a warehouse list, and the ex-warehouse quantity corresponding to each target warehouse is determined according to the order of each target warehouse in the warehouse list and an inventory quantity of each type of goods in each target warehouse.
9. A task order splitting apparatus, comprising:
the information acquisition module is used for acquiring task list information and warehouse information, wherein the warehouse information indicates the corresponding priority of each warehouse;
the model building module is used for building a task list splitting model according to the task list information, the warehouse information, the splitting target and the constraint condition;
and the splitting module is used for determining a target warehouse set and the corresponding ex-warehouse quantity of each target warehouse in the target warehouse set based on the solution of the task list splitting model so as to complete the splitting of the task list.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
11. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-8.
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