+

CN111144798A - Storage space allocation method, system, electronic device and storage medium of logistics warehouse - Google Patents

Storage space allocation method, system, electronic device and storage medium of logistics warehouse Download PDF

Info

Publication number
CN111144798A
CN111144798A CN201811309067.8A CN201811309067A CN111144798A CN 111144798 A CN111144798 A CN 111144798A CN 201811309067 A CN201811309067 A CN 201811309067A CN 111144798 A CN111144798 A CN 111144798A
Authority
CN
China
Prior art keywords
storage
item
storage space
logistics warehouse
channel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811309067.8A
Other languages
Chinese (zh)
Other versions
CN111144798B (en
Inventor
肖鹏宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingbangda Trade Co Ltd
Beijing Jingdong Qianshi Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to CN201811309067.8A priority Critical patent/CN111144798B/en
Publication of CN111144798A publication Critical patent/CN111144798A/en
Application granted granted Critical
Publication of CN111144798B publication Critical patent/CN111144798B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本发明公开了一种物流仓库的储位分配方法、系统、电子设备及存储介质，物流仓库包括多种类型的储位通道，不同类型的储位通道包含的储位数量不同，每个储位通道用于存放同一物品，储位分配方法用于为至少一种物品分配储位，所述储位分配方法包括：统计物流仓库中各类型储位通道的数量；获取物流仓库中每种物品的库存量，计算每种物品所需的储位数量；根据每种物品所需的储位数量、各类型储位通道的数量以及各类型储位通道包含的储位数量，获取使得物流仓库的储位浪费程度最低时每种物品所需的每种类型的储位通道数量的最优值；根据最优值为每种物品分配所需的每种类型的储位通道数量。本发明通过最小化储位浪费程度得到物品储位分配的最佳方案。

Figure 201811309067

The invention discloses a storage location allocation method, system, electronic equipment and storage medium for a logistics warehouse. The logistics warehouse includes multiple types of storage location channels. Different types of storage location channels contain different numbers of storage locations. The channel is used to store the same item, and the storage location allocation method is used to allocate storage locations for at least one item, and the storage location allocation method includes: counting the number of various types of storage location channels in the logistics warehouse; Inventory quantity, calculate the number of storage spaces required for each item; according to the number of storage spaces required for each item, the number of storage space channels of each type, and the number of storage spaces contained in each type of storage space channel, obtain the storage space that makes the logistics warehouse. The optimal value of the number of each type of storage channel required for each item with the lowest bit waste; the required number of each type of storage channel is allocated to each item according to the optimal value. The present invention obtains the best solution for item storage space allocation by minimizing the storage space waste.

Figure 201811309067

Description

Storage position allocation method and system for logistics warehouse, electronic equipment and storage medium
Technical Field
The invention belongs to the field of storage position allocation of a logistics warehouse, and particularly relates to a storage position allocation method and system of the logistics warehouse, electronic equipment and a storage medium.
Background
After orders are issued from an upstream system to an unmanned warehouse system, an aggregation sheet is formed through a pre-aggregation system, after pre-aggregation, the aggregation sheet is positioned to a tray containing a SKU (stock keeping unit) required by the aggregation sheet in a zero-sorting area by the system, an ex-warehouse work station of the positioned tray is determined, and then, a four-way shuttle vehicle is dispatched to carry the tray in the sorting area to the ex-warehouse work station to carry out a picking task. Different articles in the warehouse have different numbers of stored trays due to different volumes and inventory, and if the selection of the storage position channel is not good, the trays of partial articles can be stored everywhere and empty storage positions in the storage position channels occupied by other articles can be idle, so that the storage position waste is caused.
At present, the goods are generally distributed to the proper channels one by adopting a manual pre-distribution strategy, however, the distribution effect cannot be considered generally by manual distribution, and the distribution is very complicated, and once the warehouse has a large scale, the manual distribution mode is not feasible; or, according to a greedy algorithm, although a non-manual distribution mode is adopted, the front articles are distributed one by one, so that the situation that the rear articles do not have enough storage positions due to too loose distribution of the front articles may occur, and the storage is unevenly distributed and the utilization rate is not high.
Disclosure of Invention
The invention aims to overcome the defects of low efficiency and low storage utilization rate of a storage allocation method in the prior art, and provides a storage allocation method, a storage allocation system, electronic equipment and a storage medium for a logistics warehouse.
The invention solves the technical problems through the following technical scheme:
a storage position allocation method for a logistics warehouse, wherein the logistics warehouse comprises a plurality of types of storage position channels, the storage position channels of different types comprise different storage positions, each storage position channel is used for storing the same article, the storage position allocation method is used for allocating a storage position for at least one article, and the storage position allocation method comprises the following steps:
counting the number of each type of storage channel in the logistics warehouse;
acquiring the stock of each article in the logistics warehouse, and calculating the quantity of storage positions required by each article according to the stock;
acquiring an optimal value of the number of the storage position channels of each type required by each article when the waste degree of the storage positions of the logistics warehouse is minimum according to the number of the storage positions required by each article, the number of the storage position channels of each type in the logistics warehouse and the number of the storage positions contained in the storage position channels of each type;
each type of bin slot number required is assigned to each item according to the optimum value.
Preferably, the step of obtaining the stock quantity of each article and calculating the number of storage locations required for each article according to the stock quantity specifically includes:
acquiring a standard code disc quantity of each article, wherein the standard code disc quantity is used for representing the quantity of articles which can be stored in each article in a single storage position;
and calculating the quantity of the storage positions required by each article according to the stock quantity of each article and the standard code disc quantity of each article.
Preferably, in the bin allocation method, the solving of the bin waste degree of each article through the following formula includes:
L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst；
Figure BDA0001854491950000021
Figure BDA0001854491950000022
wherein L is the waste degree of the storage position, S is any article, S is the article set, T is the storage position channel of any type, T is the storage position channel type set, NtNumber of bit-storing channels of type t, xstStorage channel for storing articles s of the type t requiredNumber of (2), PsNumber of storage positions required for articles s, Mtα is a constant number not less than 0 for the number of bits contained in the t-type bit channel.
Preferably, after the step of allocating the number of each type of bucket lanes required for each article according to the optimal value, the bucket allocation method further comprises:
acquiring distance information between each storage position channel and a workstation of the logistics warehouse;
presetting a sequencing rule;
sequentially selecting each article stored in the logistics warehouse according to the sorting rule;
and sequentially selecting the corresponding types of storage position channels with the corresponding number matched with the optimal value of the number of the storage position channels of each type required by each type of article according to the distance information from near to far to store each article.
Preferably, the step of presetting a sort rule specifically includes:
acquiring the order number of all articles in the logistics warehouse;
calculating the delivery frequency of each article according to the order number;
and sorting according to the warehouse-out frequency descending order to generate the sorting rule.
Preferably, the step of obtaining the distance information between each storage location channel and the workstation of the logistics warehouse specifically includes:
calculating the average distance between each storage position channel and all workstations of the logistics warehouse to generate the distance information;
or, obtaining the distance between each storage position and the workstation closest to each storage position channel in the logistics warehouse to generate the distance information.
A storage position distribution system of a logistics warehouse, the logistics warehouse comprises a plurality of types of storage position channels, the storage position channels of different types contain different storage position quantities, each storage position channel is used for storing the same article, the storage position distribution method is used for distributing storage positions for at least one article, and the storage position distribution system comprises a statistic module, an article storage position quantity acquisition module, an optimal value acquisition module and a storage position channel distribution module;
the statistical module is used for counting the number of each type of storage position channel in the logistics warehouse;
the article storage position quantity acquisition module is used for acquiring the stock quantity of each article in the logistics warehouse and calculating the storage position quantity required by each article according to the stock quantity;
the optimal value acquisition module is used for acquiring the optimal value of the number of the storage position channels of each type required by each article when the waste degree of the storage positions is minimum according to the number of the storage positions required by each article, the number of the storage position channels of each type in the logistics warehouse and the number of the storage positions contained in the storage position channels of each type;
the storage position channel allocation module is used for allocating the required number of each type of storage position channel for each article according to the optimal value.
Preferably, the article storage location quantity acquisition module comprises a standard code disc quantity acquisition unit and an article storage location quantity calculation unit;
the standard code disc quantity obtaining unit is used for obtaining the standard code disc quantity of each article, and the standard code disc quantity is used for representing the quantity of articles which can be stored in each article in a single storage position;
the article storage amount calculating unit is used for calculating the storage amount required by each article according to the stock amount of each article and the standard code disc amount of each article.
Preferably, the optimal value obtaining module obtains the reserve waste degree of each article by solving the following formula, including:
L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst；
Figure BDA0001854491950000041
Figure BDA0001854491950000042
wherein L is the waste degree of the storage position, S is any article, S is the article set, T is the storage position channel of any type, T is the storage position channel type set, NtNumber of bit-storing channels of type t, xstNumber of storage slots of type t required for storing articles s, PsNumber of storage positions required for articles s, Mtα is a constant number not less than 0 for the number of bits contained in the t-type bit channel.
Preferably, the storage allocation system further comprises a distance information acquisition module, a preset module, an article selection module and an article storage channel selection module;
the distance information acquisition module is used for acquiring the distance information between each storage position channel and the workstation of the logistics warehouse;
the preset module is used for presetting a sequencing rule;
the article selection module is used for sequentially selecting each article stored in the logistics warehouse according to the sorting rule;
and the article storage channel selection module is used for sequentially selecting the storage position channels of the corresponding types in the corresponding number matched with the optimal value of the number of the storage position channels of each type required by each article according to the distance information from near to far so as to store each article.
Preferably, the preset module comprises an order number acquisition unit, a warehouse-out frequency calculation unit and a sorting rule generation unit;
the order number acquiring unit is used for acquiring the order numbers of all the articles in the logistics warehouse;
the ex-warehouse frequency calculation unit is used for calculating the ex-warehouse frequency of each article according to the order number;
the sorting rule generating unit is used for sorting and generating the sorting rules according to the warehouse-out frequency descending order.
Preferably, the distance information obtaining module is configured to calculate an average distance between each storage space channel and all workstations of the logistics warehouse to generate the distance information;
or the distance information acquisition module is used for acquiring the distance between each storage position and the workstation closest to each storage position channel in the logistics warehouse to generate the distance information.
An electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the storage allocation method of the logistics warehouse.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned bin allocation method of a logistics warehouse.
The positive progress effects of the invention are as follows: the invention further obtains the waste degree of the storage positions by counting the storage position channels and counting and calculating the number of the storage positions required by each article under the premise of considering each possibility of the type and the number of the storage position channels required by each article, and obtains the optimal scheme of the distribution of the storage positions of the articles by minimizing the waste degree of the storage positions.
Drawings
Fig. 1 is a flowchart of a storage location allocation method of a logistics warehouse according to embodiment 1 of the present invention.
Fig. 2 is a flowchart illustrating a step 11 of the method for allocating storage space in a logistics warehouse according to embodiment 1 of the present invention.
Fig. 3 is a flowchart of a storage allocation method for a logistics warehouse according to embodiment 2 of the present invention.
Fig. 4 is a flowchart illustrating a specific step 15 of the method for allocating storage space in a logistics warehouse according to embodiment 2 of the present invention.
Fig. 5 is a block diagram of a storage location allocation system of a logistics warehouse according to embodiment 3 of the present invention.
Fig. 6 is a block diagram of a storage location allocation system of a logistics warehouse according to embodiment 4 of the present invention.
Fig. 7 is a schematic block diagram of preset modules in a storage allocation system of a logistics warehouse according to embodiment 4 of the present invention.
Fig. 8 is a schematic structural diagram of an electronic device according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
A storage location allocation method for a logistics warehouse, the logistics warehouse comprising a plurality of types of storage location channels, the storage location channels of different types comprising different storage locations, each storage location channel being used for storing the same article, as shown in fig. 1, the storage location allocation method being used for allocating a storage location for at least one article, the storage location allocation method comprising:
step 10, counting the number of various storage position channels in the logistics warehouse;
step 11, acquiring the stock of each article in the logistics warehouse, and calculating the quantity of storage positions required by each article according to the stock;
step 12, acquiring an optimal value of the number of each type of storage position channel required by each article when the waste degree of the storage positions is minimum according to the number of the storage positions required by each article, the number of each type of storage position channel in the logistics warehouse and the number of the storage positions contained in each type of storage position channel;
and step 13, allocating the required quantity of each type of storage position channel for each article according to the optimal value.
As shown in fig. 2, step 11 specifically includes:
111, acquiring a standard code disc quantity of each article, wherein the standard code disc quantity is used for representing the quantity of articles which can be stored in each article in a single storage position;
and 112, calculating the quantity of the storage positions required by each article according to the stock quantity of each article and the standard code disc quantity of each article.
Specifically, the number of bins required for each item is solved by the following equation:
Figure BDA0001854491950000061
wherein Q issIs the stock quantity of the articles S, SsIs the standard code disc amount of the article s,
Figure BDA0001854491950000071
is the sign of the rounding up operation.
Specifically, the degree of reservoir waste of each article is obtained by solving the following formula, including:
L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst(1)
Figure BDA0001854491950000072
Figure BDA0001854491950000073
wherein L is the waste degree of the storage position, S is any article, S is the article set, T is the storage position channel of any type, T is the storage position channel type set, NtNumber of bit-storing channels of type t, xstNumber of storage slots of type t required for storing articles s, PsNumber of storage positions required for articles s, Mtα is a constant number not less than 0 for the number of bits contained in the t-type bit channel.
In the above formula, the first term of formula (1) represents that the number of wasted storage positions is reduced as much as possible (because the same number of storage position channels may be occupied, but the utilization rate of the storage positions may be different, for example, a 3-tray of an article, a storage position channel occupying 6 storage positions and a storage position channel occupying 3 storage positions both occupy one channel, but the former wastes 3 storage positions, and the latter does not waste); second term representation of equation (1)
The number of occupied storage channels is reduced as much as possible; equation (2) is a first constraint: for each type of storage channel, the total channel number occupied by each article does not exceed the available channel number of the type of the warehouse; equation (3) is the second constraint: for each article, the total number of storage positions in the selected storage position channel satisfies the number of storage positions required by the article.
It should be noted that the number of the channels required by each commodity is obtained by calculating the number of each type of channel required by each commodity through a solver once after the mathematical modeling, the solved problem is a linear programming problem, and the solving method can refer to methods such as a simplex method or an interior point method.
In this embodiment, the function of the storage space waste degree is constructed by counting the storage space channels and counting and calculating the number of the storage spaces required by each article, the type and the number of the storage space channels required by each article can be stored when the storage space waste degree is obtained by solving the function, and the optimal scheme of the article storage space distribution is obtained by minimizing the storage space waste degree.
Example 2
The storage location allocation method of the logistics warehouse in this embodiment is further improved on the basis of embodiment 1, as shown in fig. 3, after step 13, the storage location allocation method further includes:
step 14, obtaining distance information between each storage position channel and a workstation of the logistics warehouse;
step 15, presetting a sequencing rule;
step 16, sequentially selecting each article stored in the logistics warehouse according to the sorting rule;
and step 17, sequentially selecting the storage position channels of the corresponding types in the number matched with the optimal value of the number of the storage position channels of each type required by each type according to the distance information from near to far to store each type of article.
As shown in fig. 4, step 15 specifically includes:
step 151, acquiring the order number of all articles in the logistics warehouse;
152, calculating the ex-warehouse frequency of each article according to the order number; wherein, the delivery frequency is the ratio of the order number of the article to all the order numbers of the material warehouse;
and 153, sorting and generating a sorting rule according to the warehouse-out frequency descending order.
In addition, step 14 specifically includes:
calculating the average distance between each storage channel and all workstations of the logistics warehouse to generate distance information;
or acquiring the distance between each storage position and the workstation closest to each storage position channel in the logistics warehouse to generate distance information.
In this embodiment, after the optimal value is obtained in the above embodiment, each article is specifically allocated, and in consideration of the distances from different storage location channels to the workstation, corresponding storage location channels are sequentially selected for the articles sorted according to the ex-warehouse frequency in the order from near to far from the workstation to store the articles, for example: for the article a, 2 a-type storage channels and 3 b-type storage channels are needed, and according to the distance information, the closest 2 a-type storage channels and 3 b-type storage channels are sequentially selected from near to far to store the article a.
Example 3
A storage position distribution system of a logistics warehouse, the logistics warehouse comprises a plurality of types of storage position channels, the storage position channels of different types comprise different storage position numbers, each storage position channel is used for storing the same article, as shown in figure 5, the storage position distribution method is used for distributing storage positions for at least one article, the storage position distribution system comprises a statistic module 20, an article storage position amount obtaining module 21, an optimal value obtaining module 22 and a storage position channel distribution module 23;
the statistical module 20 is configured to count the number of storage location channels of each type in the logistics warehouse;
the article storage location quantity obtaining module 21 is configured to obtain a storage quantity of each article in the logistics warehouse, and calculate a storage location quantity required by each article according to the storage quantity;
the optimal value obtaining module 22 is configured to calculate a possible value of the number of each type of storage location channel required for each article according to the number of storage locations required for each article, the number of each type of storage location channel in the logistics warehouse, and the number of storage locations included in each type of storage location channel;
the storage position channel allocation module 23 is configured to allocate the required number of each type of storage position channel to each article according to the optimal value.
Referring to fig. 5, the item storage location amount obtaining module 21 includes a standard code disc amount obtaining unit 211 and an item storage location amount calculating unit 212;
the standard code disc quantity obtaining unit 211 is configured to obtain a standard code disc quantity of each article, where the standard code disc quantity is used to represent the quantity of articles that can be stored in a single storage location;
the goods storage amount calculating unit 212 is used for calculating the storage amount required by each kind of goods according to the stock amount of each kind of goods and the standard code disc amount of each kind of goods.
Specifically, the number of bins required for each item is solved by the following equation:
Figure BDA0001854491950000091
wherein Q issIs the stock quantity of the articles S, SsIs the standard code disc amount of the article s,
Figure BDA0001854491950000092
is the sign of the rounding up operation.
Specifically, the optimal value obtaining module 22 obtains the reserve waste degree of each article by solving the following formula, including:
L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst(1)
Figure BDA0001854491950000093
Figure BDA0001854491950000101
wherein L is the waste degree of the storage position, S is any article, S is the article set, T is the storage position channel of any type, T is the storage position channel type set, NtNumber of bit-storing channels of type t, xstNumber of storage slots of type t required for storing articles s, PsNumber of storage positions required for articles s, Mtα is a constant number not less than 0 for the number of bits contained in the t-type bit channel.
In the above formula, the first term of formula (1) represents that the number of wasted storage positions is reduced as much as possible (because the same number of storage position channels may be occupied, but the utilization rate of the storage positions may be different, for example, a 3-tray of an article, a storage position channel occupying 6 storage positions and a storage position channel occupying 3 storage positions both occupy one channel, but the former wastes 3 storage positions, and the latter does not waste); the second term of the formula (1) represents that the number of occupied storage bit channels is reduced as much as possible; equation (2) is a first constraint: for each type of storage channel, the total channel number occupied by each article does not exceed the available channel number of the type of the warehouse; equation (3) is the second constraint: for each article, the total number of storage positions in the selected storage position channel satisfies the number of storage positions required by the article.
It should be noted that the number of the channels required by each commodity is obtained by calculating the number of each type of channel required by each commodity through a solver once after the mathematical modeling, the solved problem is a linear programming problem, and the solving method can refer to methods such as a simplex method or an interior point method.
In this embodiment, the function of the storage space waste degree is constructed by counting the storage space channels and counting and calculating the number of the storage spaces required by each article, the type and the number of the storage space channels required by each article can be stored when the storage space waste degree is obtained by solving the function, and the optimal scheme of the article storage space distribution is obtained by minimizing the storage space waste degree.
Example 4
The storage space allocation system of the logistics warehouse of the present embodiment is further improved on the basis of embodiment 4, as shown in fig. 6, the storage space allocation system further includes a distance information obtaining module 24, a presetting module 25, an article selecting module 26, and an article storage channel selecting module 27;
the distance information obtaining module 24 is configured to obtain distance information between each storage location channel and a workstation of the logistics warehouse;
the presetting module 25 is used for presetting a sequencing rule;
the article selecting module 26 is configured to sequentially select each article stored in the logistics warehouse according to the sorting rule;
the article storage channel selecting module 27 is configured to sequentially select, according to the distance information, storage location channels of corresponding types in a number corresponding to the optimal value of the number of storage location channels of each type required by each article according to a sequence from near to far, and store each article.
Referring to fig. 7, the preset module 25 includes an order number obtaining unit 251, a warehouse-out frequency calculating unit 252, and a sorting rule generating unit 253;
the order number acquiring unit 251 is used for acquiring the order number of all the articles in the logistics warehouse;
the ex-warehouse frequency calculation unit 252 is configured to calculate an ex-warehouse frequency of each item according to the order number; wherein, the delivery frequency is the ratio of the order number of the article to all the order numbers of the material warehouse;
the sorting rule generating unit 253 is configured to generate the sorting rules in descending order according to the ex-warehouse frequency.
In addition, the distance information obtaining module 24 is configured to calculate an average distance between each storage space channel and all workstations of the logistics warehouse to generate the distance information;
or, the distance information obtaining module 24 is configured to obtain a distance between each storage location and a workstation in the logistics warehouse that is closest to each storage location channel, so as to generate the distance information.
In this embodiment, after obtaining the optimal value of the storage channel in the above embodiment, each article is specifically allocated, and in consideration of the distances between different storage channels and the workstation, the corresponding storage channels are sequentially selected for the articles sorted according to the delivery frequency in the order from near to far from the workstation to store the articles, for example: for the article a, 2 a-type storage channels and 3 b-type storage channels are needed, and according to the distance information, the closest 2 a-type storage channels and 3 b-type storage channels are sequentially selected from near to far to store the article a.
Example 5
An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the bin allocation method of the logistics warehouse according to any one of embodiments 1 or 2.
Fig. 8 is a schematic structural diagram of an electronic device according to embodiment 7 of the present invention. FIG. 8 illustrates a block diagram of an exemplary electronic device 90 suitable for use in implementing embodiments of the present invention. The electronic device 90 shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 8, the electronic device 90 may take the form of a general purpose computing device, which may be a server device, for example. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 that connects the various system components (including the memory 92 and the processor 91).
The bus 93 includes a data bus, an address bus, and a control bus.
Memory 92 may include volatile memory, such as Random Access Memory (RAM)921 and/or cache memory 922, and may further include Read Only Memory (ROM) 923.
Memory 92 may also include a program tool 925 having a set (at least one) of program modules 924, such program modules 924 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 91 executes various functional applications and data processing by running a computer program stored in the memory 92.
The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 90 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 90 via the bus 93. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
A computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the bin allocation method of a logistics warehouse according to any one of embodiments 1 or 2.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in a form of a program product, which includes program code for causing a terminal device to execute the steps of implementing the stock allocation method of the logistics warehouse described in any one of embodiments 1 or 2 when the program product runs on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (14)

1.一种物流仓库的储位分配方法，所述物流仓库包括多种类型的储位通道，不同类型的储位通道包含的储位数量不同，每个储位通道用于存放同一物品，其特征在于，所述储位分配方法用于为至少一种物品分配储位，所述储位分配方法包括：1. A storage space allocation method for a logistics warehouse, the logistics warehouse includes multiple types of storage space passages, and different types of storage space passages contain different storage positions, and each storage space passage is used to store the same item, which It is characterized in that, the storage space allocation method is used for allocating storage space for at least one item, and the storage space allocation method includes: 统计所述物流仓库中各类型储位通道的数量；Count the number of various types of storage channel in the logistics warehouse; 获取所述物流仓库中每种物品的库存量，并根据库存量计算每种物品所需的储位数量；Obtain the inventory of each item in the logistics warehouse, and calculate the number of storage spaces required for each item according to the inventory; 根据每种物品所需的储位数量、所述物流仓库中各类型储位通道的数量以及各类型储位通道包含的储位数量，获取使得所述物流仓库的储位浪费程度最低时每种物品所需的每种类型的储位通道数量的最优值；According to the number of storage slots required for each item, the number of various types of storage slot channels in the logistics warehouse, and the number of storage slots included in each type of storage slot channels, obtain each type of storage slot that minimizes the waste of storage slots in the logistics warehouse. the optimal number of storage channels of each type required for the item; 根据所述最优值为每种物品分配所需的每种类型的储位通道数量。The number of required storage channels of each type is allocated for each item according to the optimal value. 2.如权利要求1所述的物流仓库的储位分配方法，其特征在于，所述获取每种物品的库存量，并根据库存量计算每种物品所需的储位数量的步骤具体包括：2. The storage space allocation method of a logistics warehouse as claimed in claim 1, wherein the step of obtaining the stock quantity of each item and calculating the required storage space quantity of each item according to the stock quantity specifically comprises: 获取每个物品的标准码盘量，所述标准码盘量用于表征单个储位能够存放每个物品的物品数量；Obtain the standard pallet quantity of each item, where the standard pallet quantity is used to represent the number of items that can be stored in each item in a single storage location; 根据每种物品的库存量和每个物品的标准码盘量计算得到每种物品所需的储位数量。According to the stock quantity of each item and the standard pallet quantity of each item, the number of storage spaces required for each item is calculated. 3.如权利要求1所述的物流仓库的储位分配方法，其特征在于，所述储位分配方法中通过以下公式求解得到所述每种物品的储位浪费程度，包括：3. The storage space allocation method of a logistics warehouse as claimed in claim 1, characterized in that, in the storage space allocation method, the storage space waste degree of each item is obtained by solving the following formula, including: L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst；L=∑ s∈S (∑ t∈T N t ·x st -P s )+α∑ s∈S ∑ t∈T x st ;
Figure FDA0001854491940000011
Figure FDA0001854491940000011
Figure FDA0001854491940000012
Figure FDA0001854491940000012
 其中，L为储位浪费程度，s为任一物品，S为物品集合，t为任一种类型的储位通道，T为储位通道类型集合，Nt为t类型储位通道的数量，xst为存储物品s所需类型t的储位通道的数量，Ps为物品s所需的储位数量，Mt为t类型储位通道包含的储位数量，α为不小于0的常数。Among them, L is the degree of waste of storage space, s is any item, S is the set of items, t is any type of storage channel, T is the set of storage channel types, and N t is the number of storage channels of type t, x st is the number of storage channels of type t required to store item s, P s is the number of storage slots required by item s, M t is the number of storage slots contained in type t storage channel, and α is a constant not less than 0 . 4.如权利要求1所述的物流仓库的储位分配方法，其特征在于，所述根据所述最优值为每种物品分配所需的每种类型的储位通道数量的步骤之后，所述储位分配方法还包括：4. The storage space allocation method of a logistics warehouse according to claim 1, characterized in that, after the step of allocating the number of storage space passages of each type required for each item according to the optimal value, the The storage allocation method further includes: 获取每个储位通道与所述物流仓库的工作站的距离信息；Obtain the distance information between each storage channel and the workstation of the logistics warehouse; 预设一排序规则；Preset a sorting rule; 根据所述排序规则依次选取所述物流仓库中存储的每种物品；Select each item stored in the logistics warehouse in turn according to the sorting rule; 根据所述距离信息按照由近到远的顺序依次选取与每种物品所需的每种类型的储位通道数量的最优值相匹配的对应数量的对应类型的储位通道存放所述每种物品。According to the distance information, the corresponding number of storage channels of the corresponding type that match the optimal value of the number of storage channels of each type required by each item are selected in order from near to far. thing. 5.如权利要求4所述的物流仓库的储位分配方法，其特征在于，所述预设一排序规则的步骤具体包括：5. The storage space allocation method of a logistics warehouse as claimed in claim 4, wherein the step of presetting a sorting rule specifically comprises: 获取所述物流仓库中所有物品的订单数；Obtain the number of orders for all items in the logistics warehouse; 根据所述订单数计算得到每个物品的出库频率；Calculate the delivery frequency of each item according to the number of orders; 按照出库频率降序排序生成所述排序规则。The sorting rules are generated by sorting in descending order of delivery frequency. 6.如权利要求4所述的物流仓库的储位分配方法，其特征在于，所述获取每个储位通道与所述物流仓库的工作站的距离信息的步骤具体包括：6. The storage space allocation method of a logistics warehouse as claimed in claim 4, wherein the step of obtaining the distance information between each storage space channel and the workstation of the logistics warehouse specifically comprises: 计算每个储位通道与所述物流仓库的所有工作站之间的平均距离生成所述距离信息；Calculate the average distance between each storage channel and all the workstations of the logistics warehouse to generate the distance information; 或，获取所述每个储位与所述物流仓库中距离所述每个储位通道最近的工作站之间的距离生成所述距离信息。Or, the distance information is generated by acquiring the distance between each storage location and the workstation closest to each storage location channel in the logistics warehouse. 7.一种物流仓库的储位分配系统，所述物流仓库包括多种类型的储位通道，不同类型的储位通道包含的储位数量不同，每个储位通道用于存放同一物品，其特征在于，所述储位分配方法用于为至少一种物品分配储位，所述储位分配系统包括统计模块、物品储位量获取模块、最优值获取模块和储位通道分配模块；7. A storage space allocation system for a logistics warehouse, the logistics warehouse includes multiple types of storage space channels, and different types of storage space channels contain different storage positions, and each storage space channel is used to store the same item, which The storage space allocation method is used for allocating storage space for at least one item, and the storage space allocation system includes a statistics module, an item storage space acquisition module, an optimal value acquisition module and a storage space channel allocation module; 所述统计模块用于统计所述物流仓库中各类型储位通道的数量；The statistics module is used to count the number of various types of storage channel in the logistics warehouse; 所述物品储位量获取模块用于获取所述物流仓库中每种物品的库存量，并根据库存量计算每种物品所需的储位数量；The item storage space acquisition module is used to obtain the inventory of each item in the logistics warehouse, and calculate the required storage space for each item according to the inventory; 所述最优值获取模块用于根据每种物品所需的储位数量、所述物流仓库中各类型储位通道的数量以及各类型储位通道包含的储位数量，获取使得所述储位浪费程度最低时每种物品所需的每种类型的储位通道数量的最优值；The optimal value acquisition module is used to obtain the storage position according to the number of storage positions required for each item, the number of various types of storage position passages in the logistics warehouse, and the number of storage positions included in each type of storage position passages. The optimal number of storage channels of each type required for each item with minimal waste; 所述储位通道分配模块用于根据所述最优值为每种物品分配所需的每种类型的储位通道数量。The storage channel allocation module is used for allocating the required quantity of each type of storage channel for each item according to the optimal value. 8.如权利要求7所述的物流仓库的储位分配系统，其特征在于，所述物品储位量获取模块包括标准码盘量获取单元和物品储位量计算单元；8. The storage space allocation system of a logistics warehouse according to claim 7, wherein the article storage space acquisition module comprises a standard code disk amount acquisition unit and an article storage space calculation unit; 所述标准码盘量获取单元用于获取每个物品的标准码盘量，所述标准码盘量用于表征单个储位能够存放每个物品的物品数量；The standard code disc quantity acquisition unit is used to obtain the standard code disc quantity of each item, and the standard code disc quantity is used to represent the number of items that can be stored in each item in a single storage position; 所述物品储位量计算单元用于根据每种物品的库存量和每个物品的标准码盘量计算得到每种物品所需的储位数量。The item storage space calculation unit is used for calculating the storage space quantity required for each item according to the stock quantity of each item and the standard pallet quantity of each item. 9.如权利要求7所述的物流仓库的储位分配系统，其特征在于，所述最优值获取模块通过以下公式求解得到所述每种物品的储位浪费程度，包括：9. The storage space allocation system of a logistics warehouse as claimed in claim 7, wherein the optimal value obtaining module obtains the storage space waste degree of each item by solving the following formula, including: L＝∑s∈S(∑t∈TNt·xst-Ps)+α∑s∈S∑t∈Txst；L=∑ s∈S (∑ t∈T N t ·x st -P s )+α∑ s∈S ∑ t∈T x st ;
Figure FDA0001854491940000031
Figure FDA0001854491940000031
Figure FDA0001854491940000032
Figure FDA0001854491940000032
 其中，L为储位浪费程度，s为任一物品，S为物品集合，t为任一种类型的储位通道，T为储位通道类型集合，Nt为t类型储位通道的数量，xst为存储物品s所需类型t的储位通道的数量，Ps为物品s所需的储位数量，Mt为t类型储位通道包含的储位数量，α为不小于0的常数。Among them, L is the degree of waste of storage space, s is any item, S is the set of items, t is any type of storage channel, T is the set of storage channel types, and N t is the number of storage channels of type t, x st is the number of storage channels of type t required to store item s, P s is the number of storage slots required by item s, M t is the number of storage slots contained in type t storage channel, and α is a constant not less than 0 . 10.如权利要求7所述的物流仓库的储位分配系统，其特征在于，所述储位分配系统还包括距离信息获取模块、预设模块、物品选取模块和物品存放通道选取模块；10. The storage space allocation system of a logistics warehouse as claimed in claim 7, wherein the storage space allocation system further comprises a distance information acquisition module, a preset module, an item selection module and an item storage channel selection module; 所述距离信息获取模块用于获取每个储位通道与所述物流仓库的工作站的距离信息；The distance information acquisition module is used to acquire distance information between each storage channel and the workstation of the logistics warehouse; 所述预设模块用于预设一排序规则；The preset module is used to preset a sorting rule; 所述物品选取模块用于根据所述排序规则依次选取所述物流仓库中存储的每种物品；The item selection module is configured to sequentially select each item stored in the logistics warehouse according to the sorting rule; 所述物品存放通道选取模块用于根据所述距离信息按照由近到远的顺序依次选取与每种物品所需的每种类型的储位通道数量的最优值相匹配的对应数量的对应类型的储位通道存放所述每种物品。The item storage channel selection module is used to sequentially select the corresponding type of the corresponding number that matches the optimal value of the number of storage channels of each type required by each item in an order from near to far according to the distance information. The storage channel of each item is stored. 11.如权利要求10所述的物流仓库的储位分配系统，其特征在于，所述预设模块包括订单数获取单元、出库频率计算单元和排序规则生成单元；11. The storage location allocation system of a logistics warehouse according to claim 10, wherein the preset module comprises an order number acquisition unit, a warehouse delivery frequency calculation unit and a sorting rule generation unit; 所述订单数获取单元用于获取所述物流仓库中所有物品的订单数；The order number acquisition unit is used to acquire the order number of all items in the logistics warehouse; 所述出库频率计算单元用于根据所述订单数计算得到每个物品的出库频率；The out-of-warehouse frequency calculation unit is used to calculate the out-of-warehouse frequency of each item according to the number of orders; 所述排序规则生成单元用于按照出库频率降序排序生成所述排序规则。The sorting rule generating unit is configured to sort and generate the sorting rules in descending order according to the delivery frequency. 12.如权利要求10所述的物流仓库的储位分配系统，其特征在于，所述距离信息获取模块用于计算每个储位通道与所述物流仓库的所有工作站之间的平均距离生成所述距离信息；12. The storage space allocation system of a logistics warehouse according to claim 10, wherein the distance information acquisition module is used to calculate the average distance between each storage space channel and all the workstations of the logistics warehouse to generate the distance information. the distance information; 或，所述距离信息获取模块用于获取所述每个储位与所述物流仓库中距离所述每个储位通道最近的工作站之间的距离生成所述距离信息。Or, the distance information acquisition module is configured to acquire the distance between each storage location and the workstation closest to each storage location channel in the logistics warehouse to generate the distance information. 13.一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至6任一项所述的物流仓库的储位分配方法。13. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements any of claims 1 to 6 when the processor executes the computer program The storage space allocation method of the logistics warehouse described in item. 14.一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现权利要求1至6任一项所述的物流仓库的储位分配方法的步骤。14. A computer-readable storage medium having a computer program stored thereon, characterized in that, when the program is executed by a processor, the steps of the storage space allocation method of the logistics warehouse described in any one of claims 1 to 6 are realized .
CN201811309067.8A 2018-11-05 2018-11-05 Storage space allocation method, system, electronic equipment and storage medium for logistics warehouse Active CN111144798B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811309067.8A CN111144798B (en) 2018-11-05 2018-11-05 Storage space allocation method, system, electronic equipment and storage medium for logistics warehouse

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811309067.8A CN111144798B (en) 2018-11-05 2018-11-05 Storage space allocation method, system, electronic equipment and storage medium for logistics warehouse

Publications (2)

Publication Number Publication Date
CN111144798A true CN111144798A (en) 2020-05-12
CN111144798B CN111144798B (en) 2025-02-25

Family

ID=70515791

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811309067.8A Active CN111144798B (en) 2018-11-05 2018-11-05 Storage space allocation method, system, electronic equipment and storage medium for logistics warehouse

Country Status (1)

Country Link
CN (1) CN111144798B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111966065A (en) * 2020-08-07 2020-11-20 立讯电子科技（昆山）有限公司 Glue automatic storage management and delivery method
CN112914263A (en) * 2021-03-08 2021-06-08 刘岩 Intelligent bookshelf system and book storing and taking method thereof
CN114620387A (en) * 2022-02-28 2022-06-14 北京京东振世信息技术有限公司 Empty cell container handling method and apparatus

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4792273A (en) * 1985-07-26 1988-12-20 Interroll Fordertechnik Gmbh & Co. Kg Method and apparatus for documentless order picking of goods
CN102092552A (en) * 2011-01-26 2011-06-15 山东兰剑物流科技有限公司 Warehousing method and equipment for intensive logistic warehouses
WO2014170433A1 (en) * 2013-04-17 2014-10-23 SSI Schäfer PEEM GmbH Warehouse and picking system and method for reorganizing a range of articles
US20160247108A1 (en) * 2015-02-20 2016-08-25 Oracle International Corporation Inventory-based warehouse allocation for retail items
CN106980955A (en) * 2017-03-29 2017-07-25 北京京东尚科信息技术有限公司 Method and apparatus for determining shelf storage space for shelf
US9818002B1 (en) * 2009-03-04 2017-11-14 Amazon Technologies, Inc. Non-binding placement of inventory in a materials handling facility
KR101847194B1 (en) * 2017-07-19 2018-04-09 (주)마이창고 A System Providing Cloud Storage
CN108341204A (en) * 2018-01-08 2018-07-31 北京邮电大学 A kind of intelligent robot cargo that serving storehouse management goes out to be put in storage method and system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4792273A (en) * 1985-07-26 1988-12-20 Interroll Fordertechnik Gmbh & Co. Kg Method and apparatus for documentless order picking of goods
US9818002B1 (en) * 2009-03-04 2017-11-14 Amazon Technologies, Inc. Non-binding placement of inventory in a materials handling facility
CN102092552A (en) * 2011-01-26 2011-06-15 山东兰剑物流科技有限公司 Warehousing method and equipment for intensive logistic warehouses
WO2014170433A1 (en) * 2013-04-17 2014-10-23 SSI Schäfer PEEM GmbH Warehouse and picking system and method for reorganizing a range of articles
US20160247108A1 (en) * 2015-02-20 2016-08-25 Oracle International Corporation Inventory-based warehouse allocation for retail items
CN106980955A (en) * 2017-03-29 2017-07-25 北京京东尚科信息技术有限公司 Method and apparatus for determining shelf storage space for shelf
KR101847194B1 (en) * 2017-07-19 2018-04-09 (주)마이창고 A System Providing Cloud Storage
CN108341204A (en) * 2018-01-08 2018-07-31 北京邮电大学 A kind of intelligent robot cargo that serving storehouse management goes out to be put in storage method and system

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
LI, HQ (LI, HONGQI) ; JIAN, XR (JIAN, XIAORONG) ; CHANG, XY (CHANG, XINYU) ; LU, YR (LU, YINGRONG): ""The generalized rollon-rolloff vehicle routing problem and savings-based algorithm"", 《 TRANSPORTATION RESEARCH PART B-METHODOLOGICAL》, vol. 113, 31 July 2018 (2018-07-31), pages 1 - 23 *
伍经纬;蔡临宁;: "订单分批算法的适用性研究", 工业工程与管理, no. 04, pages 85 - 87 *
彭永涛;张锦;李延来;: "基于变分不等式的多商品物流网络优化设计", 《计算机应用》, no. 01, 1 January 2013 (2013-01-01) *
徐立玲;袁雅莉;: "基于物联网技术的快运物流仓库管理优化――以S快运公司为例", 物流技术, no. 24, pages 32 - 35 *
李明琨;张杨平;: "基于COI与作业负荷平衡的多巷道仓库储位分配策略", 工业工程, no. 01, pages 37 - 41 *
李诗珍;: "配送中心ABC分类存储模式与拣货路径策略选择", 起重运输机械, no. 06 *
林国龙: "现代物流环境下的储位管理", 集装箱化, no. 05 *
王懋;: "基于双负载重力货架自动存取系统的排序方法研究", 机械设计与制造工程, no. 12, pages 177 - 186 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111966065A (en) * 2020-08-07 2020-11-20 立讯电子科技（昆山）有限公司 Glue automatic storage management and delivery method
CN112914263A (en) * 2021-03-08 2021-06-08 刘岩 Intelligent bookshelf system and book storing and taking method thereof
CN114620387A (en) * 2022-02-28 2022-06-14 北京京东振世信息技术有限公司 Empty cell container handling method and apparatus
CN114620387B (en) * 2022-02-28 2024-04-05 北京京东振世信息技术有限公司 Empty unit container handling method and apparatus

Also Published As

Publication number Publication date
CN111144798B (en) 2025-02-25

Similar Documents

Publication Publication Date Title
US11681982B2 (en) Automated guided vehicle control and organizing inventory items using stock keeping unit clusters
CN109767151B (en) Storage management method, device, medium and electronic equipment
CN110097315B (en) Container determination method, container determination device, medium, and computing apparatus
CN103927643B (en) A kind of method that large-scale order form treatment optimizes with Distribution path
Le-Duc et al. Travel time estimation and order batching in a 2-block warehouse
US10049332B2 (en) Queuing tasks in a computer system based on evaluating queue information and capability information of resources against a set of rules
CN111932186A (en) Order processing method, device, equipment, system and storage medium
Jewkes et al. Product location, allocation and server home base location for an order picking line with multiple servers
CN110615226B (en) Storage bit allocation method, device and computer readable storage medium
CN110852668A (en) Goods warehousing processing method and device, warehousing system and computer equipment
CN111144798A (en) Storage space allocation method, system, electronic device and storage medium of logistics warehouse
TW201830180A (en) Storage location assignment device and method for storage location assignment
CN112591359A (en) Inventory item sorting system and method
CN113947317A (en) Material warehousing method, material warehousing method, device, scheduling equipment and system
CN110334993A (en) A method, device and computer equipment for controlling a sowing location
CN115271573A (en) Goods distribution method, apparatus, computer equipment and storage medium
CN113926714B (en) Sorting scheme generation method, sorting scheme generation device, computer equipment and storage medium
CN115660380B (en) Order processing method and device for picking goods to person
CN113393181A (en) Tallying method and device, electronic equipment, storage medium and warehouse management system
CN113435805A (en) Article storage information determining method, device, equipment and storage medium
WO2024216931A1 (en) Automatic distribution method, apparatus and system, and storage medium
JP7414931B1 (en) Information processing device, information processing method, program, and information processing system
CN112132643A (en) Commodity shelving method and device, electronic equipment and readable medium
CN110334994A (en) A method, device, computer equipment, and storage medium for seeding bit pre-allocation
Oerlemans Production planning for flexible manufacturing systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20210304

Address after: 101, 1st floor, building 2, yard 20, Suzhou street, Haidian District, Beijing 100080

Applicant after: Beijing Jingbangda Trading Co.,Ltd.

Address before: 100086 8th Floor, 76 Zhichun Road, Haidian District, Beijing

Applicant before: BEIJING JINGDONG SHANGKE INFORMATION TECHNOLOGY Co.,Ltd.

Applicant before: BEIJING JINGDONG CENTURY TRADING Co.,Ltd.

Effective date of registration: 20210304

Address after: Room a1905, 19 / F, building 2, No. 18, Kechuang 11th Street, Daxing District, Beijing, 100176

Applicant after: Beijing Jingdong Qianshi Technology Co.,Ltd.

Address before: 101, 1st floor, building 2, yard 20, Suzhou street, Haidian District, Beijing 100080

Applicant before: Beijing Jingbangda Trading Co.,Ltd.

SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载