CN111489005A - Inventory path optimization method and device - Google Patents

Inventory path optimization method and device Download PDF

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Publication number
CN111489005A
CN111489005A CN201910084660.5A CN201910084660A CN111489005A CN 111489005 A CN111489005 A CN 111489005A CN 201910084660 A CN201910084660 A CN 201910084660A CN 111489005 A CN111489005 A CN 111489005A
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picking
path
sku
inventory
stock
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陈灵潇
张朝东
王野
王本玉
陈佳琦
金晶
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SF Technology Co Ltd
SF Tech Co Ltd
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SF 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
    • 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

Abstract

The invention discloses a warehousing path optimization method and device, and mainly relates to the field of warehousing. The inventory path optimization method comprises the following steps: receiving pick-up quantity, inventory information for 1 or more SKUs; matching 1 or more picking positions corresponding to each SKU according to the inventory information; generating a plurality of picking paths based on the picking storage position matched with each SKU and meeting the picking amount corresponding to the picking storage position; and calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance. The invention has the beneficial effects that: the method can meet the requirement of placing a plurality of single SKU storage positions, can meet the requirements of different SKUs and different picking quantities, and is more favorable for meeting the actual requirement of the warehouse.

Description

Inventory path optimization method and device
Technical Field
The invention relates to the technical field of warehousing, in particular to a method and a device for optimizing a warehousing path.
Background
In recent years, electronic commerce, new retail, and supply chains have been rapidly developing. Warehouse orders are also increasing in volume as an important link in the supply chain. The modules mainly related in the warehouse comprise goods position arrangement, random replenishment, goods picking path optimization and the like, and the optimization effects of the modules are organically combined to better improve the warehouse timeliness and reduce the warehouse cost. However, the existing method for optimizing the picking path only considers the optimization of the path and uses the premise that one SKU corresponds to one stock space, so that the optimization result of the placement of the stock space or the random replenishment is difficult to effectively utilize, the overall efficiency is low, and the requirements of different SKUs for different picking quantities are difficult to meet.
Disclosure of Invention
The invention aims to provide an inventory path optimization method and device.
According to a first aspect of the present invention, there is provided an inventory path optimization method, including:
receiving pick-up quantity, inventory information for 1 or more SKUs;
matching 1 or more picking positions corresponding to each SKU according to the inventory information;
generating a plurality of picking paths based on the picking storage position matched with each SKU and meeting the picking amount corresponding to the picking storage position;
and calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance.
Further, matching 1 or more stock locations corresponding to each SKU according to the stock information includes: acquiring the stock level set of each SKU and the stock corresponding to each stock level in the stock level set based on the stock information; randomly matching 1 or more stock positions in the collection of stock positions of each SKU as the picking stock position of the SKU
Further, several picking paths are generated based on each SKU matched picking bay level satisfying its corresponding picking quantity, including:
screening out all selectable combinations of the stock picking positions of each SKU based on that the stock information of each SKU meets the corresponding picking amount;
all of the alternative combinations for each SKU pick bay will be generated to generate several pick paths.
Further, calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance comprises the following steps:
acquiring the stock position number of each picking stock position in the picking path to generate a picking stock position set;
sorting the picking storage positions in the picking storage position set according to the size of the storage position numbers, selecting two picking storage positions with the serial numbers connected, sequentially calculating picking distances, and summing to obtain the picking distances corresponding to the picking paths;
and outputting the picking path with the shortest picking distance according to the picking distance of each picking path.
Further, the inventory information includes one or more stock location numbers corresponding to each SKU and the stock quantity at each stock location of the SKU.
According to another aspect of the present invention, there is provided an inventory path optimizing apparatus, including:
the information receiving unit is used for receiving the picking quantity and the inventory information of 1 or a plurality of SKUs;
the information generating unit is used for matching 1 or more picking storage positions corresponding to each SKU according to the inventory information;
the order picking path determining unit is configured for generating a plurality of order picking paths based on the order picking position matched with each SKU and meeting the corresponding order picking amount;
and the path output unit is configured for calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance.
Further, the information generating unit includes:
the inventory quantity obtaining module is configured for obtaining the inventory position set of each SKU and the inventory quantity corresponding to each inventory position in the inventory position set based on the inventory information;
and the picking storage position matching module is configured for randomly matching 1 or more storage positions in the storage position set of each SKU to serve as the picking storage position of the SKU.
Further, the order picking path determining unit includes:
the screening module is configured for screening out all selectable combinations of the stock picking positions of each SKU based on the inventory information of each SKU meeting the corresponding picking amount;
a pick path generation module configured to generate a plurality of pick paths from all of the selectable combinations of each SKU pick bay.
Further, acquiring 1 or more picking positions corresponding to all SKUs to generate a picking path, and calculating a picking distance corresponding to the picking path, including: acquiring a library position number of each library position; acquiring all picking storage positions needing picking according to 1 or more picking storage positions corresponding to all SKUs to generate a picking storage position set; and sorting the picking storage positions in the picking storage position set according to the size of the storage position numbers, selecting two picking storage positions with the connected serial numbers, sequentially calculating picking distances, and summing to obtain the picking distances corresponding to the picking paths.
Further, the path output unit includes:
the warehouse location set generating module is configured to acquire the warehouse location number of each picking warehouse location in the picking path and generate a picking warehouse location set;
the goods picking distance calculation module is configured for sorting in the goods picking storage position set according to the size of the storage position number, selecting two goods picking storage positions with the connected serial numbers to calculate the goods picking distance in sequence and then summing the goods picking distances to obtain the goods picking distance corresponding to the goods picking path;
and the order picking path output module is configured for outputting the order picking path with the shortest order picking distance according to the order picking distance of each order picking path.
Further, the inventory information includes one or more stock location numbers corresponding to each SKU and the stock quantity at each stock location of the SKU.
According to another aspect of the present invention, there is provided an apparatus comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of the above.
According to another aspect of the invention, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the method as defined in any one of the above.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention not only can adapt to the requirement of single SKU multi-warehouse location placement, but also can meet the requirement of shortest paths of different SKUs and different goods picking quantities.
2. The inventory information in the invention refers to the corresponding relation between the inventory position and the SKU type and the inventory quantity, and is derived from the optimization result of the placement of the cargo position or the random replenishment, thereby not only meeting the business requirement, but also greatly improving the overall efficiency of the warehouse operation.
3. The result obtained by the invention is the shortest picking path with the storage position distribution information, and the method has more effective guiding function on the warehouse operation.
Drawings
FIG. 1 is a flow chart of a method for inventory path optimization according to the present invention.
Detailed Description
In order to better understand the technical scheme of the invention, the invention is further explained by combining the specific embodiment and the attached drawings of the specification.
Example 1:
an inventory path optimizing apparatus of this embodiment includes:
the information receiving unit is configured to receive the picking amount and the inventory information of 1 or a plurality of SKUs, the inventory information refers to the corresponding relation between the inventory position and the SKU type and inventory amount, and if N types of SKUs exist: 1,2, …, N, SKUkThe set of the positions of the library is LkThe stock quantity at the ith stock level is cki,i∈LkThe required picking quantity is pkIn this embodiment, the real-time inventory information is preferred, and 1, the real-time inventory information can be derived from other modules such as random replenishment besides the placement of the goods location.
The information generating unit is configured to match 1 or more picking positions corresponding to each SKU according to the inventory information, and specifically includes: the inventory quantity obtaining module is configured for obtaining the inventory position set of each SKU and the inventory quantity corresponding to each inventory position in the inventory position set based on the inventory information; and the picking storage position matching module is configured for randomly matching 1 or more storage positions in the storage position set of each SKU to serve as the picking storage position of the SKU.
The picking path determining unit is configured to generate a plurality of picking paths based on the picking positions matched by each SKU and meeting the corresponding picking amount, and specifically comprises the following steps: the screening module is configured for screening out all selectable combinations of the stock picking positions of each SKU based on the inventory information of each SKU meeting the corresponding picking amount; a pick path generation module configured to generate a plurality of pick paths from all of the selectable combinations of each SKU pick bay.
The path output unit is configured to calculate a picking distance of each picking path and output the picking path with the shortest picking distance, and specifically comprises: the warehouse location set generating module is configured to acquire the warehouse location number of each picking warehouse location in the picking path and generate a picking warehouse location set;
the goods picking distance calculation module is configured for sorting in the goods picking storage position set according to the size of the storage position number, selecting two goods picking storage positions with the connected serial numbers to calculate the goods picking distance in sequence and then summing the goods picking distances to obtain the goods picking distance corresponding to the goods picking path;
a picking path output module configured to output the picking path with the shortest picking distance according to the picking distance of each picking path, for example, M stock positions corresponding to N kinds of SKUs are provided, and the distance from the stock position i to the stock position j is dijI, j ∈ {1,2, …, M }, requires a path that meets the pick-up of N SKUs and has the shortest distance.
The embodiment is based on the condition that a single SKU is stored in a plurality of SKUs, the picking needs to be carried out on 1 or more stock locations according to the requirement of each SKU picking amount during picking, the obtained SKU inventory information comprises path information and SKU stock location distribution information, and the shortest picking path for picking from one or more stock locations to the single SKU is required to meet the requirements of different SKU picking amounts.
Alternatively, a path optimization model can be established based on that the inventory information of 1 or more picking positions matched with each SKU can meet the corresponding picking quantity requirement, and the information receiving unit acquires the known quantity; calculating the distance by every two picking storage positions connected with the storage position number, and not calculating the picking storage positions with the non-connected storage position numbers, wherein the known quantity comprises the following information:
(1)Lkk is more than or equal to 1 and less than or equal to N: a set of stock locations for SKU k;
(2)cki,1≤k≤N,i∈Lk: stock of SKU k at stock i;
(3)pkk is more than or equal to 1 and less than or equal to N: the required pick-up quantity of SKU k;
(4)diji, j ∈ {1,2, …, M }: the distance from the ith bin to the jth bin.
The decision variables are expressed as formula (1) and formula (2)
Figure BDA0001961376370000051
Figure BDA0001961376370000061
Modeling according to known quantities, decision quantities and limiting conditions:
min∑1≤i<j≤Mxijdij(3)
s.t.∑1≤j<ixij+∑j<i≤Mxij＝2yi,1≤i≤M (4)
Figure BDA0001961376370000062
Figure BDA0001961376370000063
the formula (3) is used for obtaining the picking path with the shortest picking distance;
formula (4) is one of the limiting conditions: each storage position is connected for 2 times or 0 times, the storage position connected for 0 time is not used, and the storage position connected for 2 times is used; formula (5) is a second limiting condition: the value of each SKU is more than or equal to the picking quantity required by the SKU; equation (6) is a third limiting condition: the occurrence of sub-circles is prohibited.
For the solution of the model, a solver can be used, a heuristic algorithm can be used, solvers such as Cplex and Gruobi can be used, and heuristic algorithms such as tabu search, simulated annealing and genetic algorithm can be used for solving the model.
The path optimization method corresponding to the inventory path optimization device in the embodiment comprises the following steps:
s1, receiving the order quantity and stock information of 1 or more SKUs, wherein if N kinds of SKUs are selected from 1,2, …, N, the stock position set of the SKU k is LkThe stock quantity at the ith stock level is cki,i∈LkThe required picking quantity is pkThe present embodiment is preferably real-time inventory information;
s2, matching 1 or more picking positions corresponding to each SKU according to the inventory information, which specifically comprises:
s2-1, acquiring the stock level set of each SKU and the stock level corresponding to each stock level in the stock level set based on the stock information;
and S2-2, randomly matching 1 or more stock positions in the stock position set of each SKU to serve as the picking stock position of the SKU.
S3, generating a plurality of picking paths based on each SKU matched picking stock position satisfying its corresponding picking amount, including:
s3-1, screening all selectable combinations of the stock location of each SKU based on the stock information of each SKU meeting the corresponding stock picking amount;
s3-2, generating a plurality of pick paths by combining all of the options for each SKU pick bay.
And S4, calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance, wherein the steps comprise:
s4-1, acquiring the stock position number of each stock picking position in the picking path to generate a stock picking position set;
s4-2, sorting the picking storage positions in the picking storage position set according to the size of the storage position numbers, selecting two picking storage positions with the serial numbers connected, calculating the picking distance in sequence, and summing to obtain the picking distance corresponding to the picking path;
s4-3, outputting the picking path with the shortest picking distance according to the picking distance of each picking path, wherein M picking positions are corresponding to N SKUs, and the distance from the position i to the position j is dijI, j ∈ {1,2, …, M }, requires a path that meets the pick-up of N SKUs and has the shortest distance.
The device of the library example of the present embodiment includes: one or more processors; memory for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to perform a method as any one of the above. The processor executes the inventory base path optimization method to meet the shortest path requirements of different SKUs and different picking quantities.
The readable storage medium storing the library example of the present embodiment stores a program of the library path optimization method, which is implemented when executed by a processor, and when executed by the processor, the program implements the method according to any one of the above, thereby facilitating the use and popularization of the library path optimization device.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the features described above have similar functions to (but are not limited to) those disclosed in this application.

Claims (10)

1. An inventory path optimization method, comprising:
receiving pick-up quantity, inventory information for 1 or more SKUs;
matching 1 or more picking positions corresponding to each SKU according to the inventory information;
generating a plurality of picking paths based on the picking storage position matched with each SKU and meeting the picking amount corresponding to the picking storage position;
and calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance.
2. The inventory path optimization method of claim 1, wherein matching 1 or more inventory positions corresponding to each SKU based on the inventory information comprises:
acquiring the stock level set of each SKU and the stock corresponding to each stock level in the stock level set based on the stock information;
randomly matching 1 or more stock locations in the collection of stock locations for each SKU as the pick stock location for that SKU.
3. The inventory path optimization method of claim 1, wherein generating a plurality of picking paths based on the picking locations matched by each SKU satisfying their corresponding picking quantities comprises:
screening out all selectable combinations of the stock picking positions of each SKU based on that the stock information of each SKU meets the corresponding picking amount;
all of the alternative combinations for each SKU pick bay will be generated to generate several pick paths.
4. The inventory path optimization method as claimed in claim 1, wherein calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance comprises:
acquiring the stock position number of each picking stock position in the picking path to generate a picking stock position set;
sorting the picking storage positions in the picking storage position set according to the size of the storage position numbers, selecting two picking storage positions with the serial numbers connected, sequentially calculating picking distances, and summing to obtain the picking distances corresponding to the picking paths;
and outputting the picking path with the shortest picking distance according to the picking distance of each picking path.
5. The inventory path optimization method according to claims 1-4, wherein the inventory information includes one or more bin numbers corresponding to each SKU and the amount of inventory on each bin of the SKU.
6. An inventory path optimization device, comprising:
the information receiving unit is used for receiving the picking quantity and the inventory information of 1 or a plurality of SKUs;
the information generating unit is used for matching 1 or more picking storage positions corresponding to each SKU according to the inventory information;
the order picking path determining unit is configured for generating a plurality of order picking paths based on the order picking position matched with each SKU and meeting the corresponding order picking amount;
and the path output unit is configured for calculating the picking distance of each picking path and outputting the picking path with the shortest picking distance.
7. The inventory path optimization device according to claim 6, wherein the information generating unit comprises:
the inventory quantity obtaining module is configured for obtaining the inventory position set of each SKU and the inventory quantity corresponding to each inventory position in the inventory position set based on the inventory information;
and the picking storage position matching module is configured for randomly matching 1 or more storage positions in the storage position set of each SKU to serve as the picking storage position of the SKU.
8. The inventory path optimization device of claim 6, wherein the pick path determination unit comprises:
the screening module is configured for screening out all selectable combinations of the stock picking positions of each SKU based on the inventory information of each SKU meeting the corresponding picking amount;
a pick path generation module configured to generate a plurality of pick paths from all of the selectable combinations for each SKU pick bay.
9. The inventory path optimization device according to claim 6, wherein the path output unit comprises:
the warehouse location set generating module is configured to acquire the warehouse location number of each picking warehouse location in the picking path and generate a picking warehouse location set;
the goods picking distance calculation module is configured for sorting in the goods picking storage position set according to the size of the storage position number, selecting two goods picking storage positions with the connected serial numbers to calculate the goods picking distance in sequence and then summing the goods picking distances to obtain the goods picking distance corresponding to the goods picking path;
and the order picking path output module is configured for outputting the order picking path with the shortest order picking distance according to the order picking distance of each order picking path.
10. The inventory path optimization method according to claims 6-9, wherein the inventory information includes one or more bin numbers corresponding to each SKU and the amount of inventory on each bin of SKUs.
CN201910084660.5A 2019-01-29 2019-01-29 Inventory path optimization method and device Pending CN111489005A (en)

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CN112734329A (en) * 2020-12-30 2021-04-30 深圳千岸科技股份有限公司 Warehouse goods picking shortest path calculation method, device, equipment and storage medium
CN113537640A (en) * 2021-08-18 2021-10-22 南京希音电子商务有限公司 Goods picking frequency planning method based on package clustering and storage position recommendation

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