CN110889661B - Production wave time positioning method, device, computer equipment and storage medium - Google Patents

Production wave time positioning method, device, computer equipment and storage medium Download PDF

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CN110889661B
CN110889661B CN201911222965.4A CN201911222965A CN110889661B CN 110889661 B CN110889661 B CN 110889661B CN 201911222965 A CN201911222965 A CN 201911222965A CN 110889661 B CN110889661 B CN 110889661B
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sku
sorting
production
goods collecting
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CN110889661A (en
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吴攀华
李东
鲁飞
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Beijing Yunshan 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
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The application belongs to the technical field of fresh sorting operation, and particularly relates to a production wave positioning method, a device, computer equipment and a storage medium. The method comprises the following steps: acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing the goods, wherein the SKU file at least comprises a SKU class and a SKU sorting type; acquiring the corresponding relation between the production wave number and the goods collecting areas and the sorting attribute of each goods collecting area, and setting a corresponding maintenance type goods collecting area for the SKU required to be maintained in the SKU file; acquiring a production order, judging whether the SKU in the production order is a SKU needing maintenance, if so, acquiring the maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number and the SKU file in the production order; and generating sorting tasks according to the sorting attributes of the goods collecting areas. The method and the device are beneficial to reducing the warehouse operation area, guaranteeing the commodity quality and improving the operation efficiency.

Description

Production wave time positioning method, device, computer equipment and storage medium
Technical Field
The application belongs to the technical field of fresh sorting operation, and particularly relates to a production wave positioning method, a device, computer equipment and a storage medium.
Background
In fresh SKUs (stock in and out metering units), order SKUs are generally separated into layers, sorting pieces, major categories and the like in the operation process in order to ensure commodity quality.
The actual sorting operation area (goods collecting area) and the goods collecting mode and the sorting mode are usually several, when the number of orders is large and the number of SKUs is also large, the factors are combined, the data size is very large, the excessive warehouse area is occupied during sorting operation, the workload of staff is large, the efficiency is low, and errors are easy to occur. In addition, at present, the commodities with the same SKU attribute are generally adopted to operate in the same goods collecting area through the same sorting mode, and for some special commodities, such as commodities with high fresh-keeping requirements, fragile or easy to taint, the quality of the commodities is difficult to guarantee.
It is therefore desirable to have a solution that overcomes or at least alleviates at least one of the above-mentioned drawbacks of the prior art.
Disclosure of Invention
The present application provides a method, an apparatus, a computer device and a storage medium for positioning a production wave number, so as to solve at least one problem existing in the prior art.
The technical scheme of the application is as follows:
a first aspect of the present application provides a method for positioning a production wave, including:
acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing the goods, wherein the SKU file at least comprises a SKU class and a SKU sorting type;
acquiring the corresponding relation between the production wave number and the goods collecting areas and the sorting attribute of each goods collecting area, and setting a corresponding maintenance type goods collecting area for the SKU required to be maintained in the SKU file;
acquiring a production order, judging whether the SKU in the production order is a SKU needing maintenance, if so, acquiring the maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number and the SKU file in the production order; and
and generating sorting tasks according to the sorting attributes of the goods collecting areas.
Optionally, acquiring the sorting attribute of each cargo collecting area includes:
obtaining SKU screening conditions of each goods collecting area;
acquiring a sorting mode, a goods collecting mode and a picking area of each goods collecting area;
and obtaining the SKU category and/or the SKU sorting type corresponding to each goods collecting area.
Optionally, the SKU sorting type comprises a sorting warm layer and a sorting piece type.
Optionally, the determining the cargo collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file includes:
acquiring one or more goods collecting areas corresponding to the production wave number of the SKU;
and determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave number.
A second aspect of the present application provides a production wave positioning device, comprising:
the commodity attribute acquisition module is used for acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing commodities, wherein the SKU file at least comprises a SKU category and a SKU sorting type;
the collection area attribute acquisition module is used for acquiring the corresponding relation between the production wave number and the collection areas and the sorting attribute of each collection area, and setting a corresponding maintenance collection area for the SKU to be maintained in the SKU file;
the SKU dividing module is used for acquiring a production order, judging whether the SKU in the production order is the SKU which needs maintenance, if so, acquiring the maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file; and
and the sorting task generating module is used for generating sorting tasks according to the sorting attributes of the goods collecting area.
Optionally, the collection area attribute obtaining module includes:
the first cargo collecting area sorting attribute acquisition unit is used for acquiring SKU screening conditions of each cargo collecting area;
the second goods collecting area sorting attribute obtaining unit is used for obtaining sorting modes, goods collecting modes and sorting areas of the goods collecting areas;
and the third cargo collecting area sorting attribute obtaining unit is used for obtaining the SKU category and/or the SKU sorting type corresponding to each cargo collecting area.
Optionally, the SKU sorting type comprises a sorting warm layer and a sorting piece type.
Optionally, the SKU dividing module includes:
the first SKU dividing unit is used for acquiring one or more goods collecting areas corresponding to the production wave number of the SKU;
and the second SKU dividing unit is used for determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave number.
A third aspect of the present application provides a computer device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor executing the computer program for implementing a production wave positioning method as described above.
A fourth aspect of the present application provides a readable storage medium storing a computer program for implementing the production wave positioning method as described above when executed by a processor.
The invention has at least the following beneficial technical effects:
according to the production wave number positioning method, firstly, the relation between the production wave number and the collection areas and the sorting attribute of each collection area are configured, the corresponding collection area is designated by identifying the special SKU independently, sorting processing areas are divided according to the production wave number and the SKU files of production orders, orders with different attributes are collected according to different dimensions, sorting operations are performed in different areas by adopting different sorting modes, warehouse space is fully utilized, warehouse operation area is reduced, commodity quality is guaranteed, manpower is easy to arrange to operate in the same operation area, the professional degree is high, and the operation efficiency is high.
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FIG. 1 is a flow chart of a method of production run localization in accordance with one embodiment of the present application.
Detailed Description
In order to make the purposes, technical solutions and advantages of the implementation of the present application more clear, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, of the embodiments of the present application. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application. Embodiments of the present application are described in detail below with reference to the accompanying drawings.
The present application is described in further detail below in conjunction with fig. 1.
A first aspect of the present application provides a method of production wave positioning for use in a warehouse of the type: (1) Warehouse for sorting operation in different areas to ensure commodity quality; (2) The warehouse area is limited, and a warehouse for dispatching cars in a split wave mode is needed.
The production wave order positioning method comprises the following steps:
acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing the goods, wherein the SKU file at least comprises a SKU category and a SKU sorting type;
acquiring the corresponding relation between the production wave number and the goods collection areas and the sorting attribute of each goods collection area, and setting a corresponding maintenance type goods collection area for the SKU to be maintained in the SKU file;
acquiring a production order, judging whether the SKU in the production order is the SKU needing maintenance, if so, acquiring a maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file; and
and generating sorting tasks according to the sorting attributes of the goods collecting area.
In this application, SKU archives can include commodity name, SKU class and SKU letter sorting type, and in this embodiment, SKU class is the major possession, and SKU letter sorting type includes letter sorting warm layer and letter sorting piece type, and the major possession can include fruit vegetables, rice flour grain and oil, meat birds, beasts and eggs, drinks etc., and letter sorting warm layer can include normal atmospheric temperature, cold bright, and letter sorting piece type can include smallclothes, well piece, major possession.
According to the production wave positioning method, sorting attributes of all the goods collecting areas comprise: the SKU screening conditions of each goods collecting area, the sorting mode, the goods collecting mode and the sorting area of each goods collecting area, and the SKU type and/or the SKU sorting type corresponding to each goods collecting area. In this embodiment, the SKU screening conditions are that SKUs are screened according to one or more combinations of major categories, sorting temperature layers and sorting piece types, and SKU screening ranges of each cargo collecting area are defined according to the SKU screening conditions, namely, corresponding SKU types and/or SKU sorting types, and the SKU screening ranges can be one or more combinations of fruits and vegetables, rice flour grain and oil, meat and poultry eggs, drinks, normal temperature, chilled freshness, small pieces, medium pieces and large pieces.
According to the production wave number positioning method, determining the goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file comprises the following steps: acquiring one or more goods collecting areas corresponding to the production wave times of the SKUs; and determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave.
In one embodiment of the present application, first, a production wave number, a collection area, a picking area, and a SKU file for sorting production of goods are obtained, as shown in the following table:
production wave number Type(s)
Wave number 1 Direct feeding
Wave number 2 Direct feeding
Wave number 3 Direct feeding
Wave number 4 Modulation and allocation
Wave number 5 Modulation and allocation
Goods collecting area
FA
FB
FC
FE
FF
Sorting area
DA
DB
DC
DX
DY
SKU Name of the name General class of Sorting warm layer Sorting piece type
5555 Potato Fruit and vegetable Normal temperature Small piece
5666 Five-cereal rice Rice flour grain oil Normal temperature Large piece
5777 Streaky pork Meat and egg Chilled fresh Small piece
5888 Cola cola Drink beverage Normal temperature Middle piece
5999 Watermelon with water melon Fruit and vegetable Normal temperature Middle piece
Secondly, obtaining the corresponding relation between the production wave number and the goods collecting areas, and obtaining the sorting attribute of each goods collecting area, wherein the method comprises the following steps:
acquiring the corresponding relation between the production wave number and the cargo collecting areas, and screening SKU (stock keeping unit) conditions of the cargo collecting areas as shown in the following table:
Figure BDA0002301358940000051
the sorting mode, the goods collecting mode and the picking area of each goods collecting area are obtained, and the following table is shown:
Figure BDA0002301358940000061
defining the SKU screening range of each cargo collecting area according to the SKU screening conditions, and acquiring the SKU category and/or the SKU sorting type corresponding to each cargo collecting area, as shown in the following table:
Figure BDA0002301358940000062
further, setting a corresponding maintenance type cargo collecting area for the SKU to be maintained in the SKU file; in this example, suppose SKU5999, watermelon, is fragile and requires special storage, and requires special handling in the FF holding area as a SKU for maintenance. The SKU special case is maintained and set in the FF collection area, see table below:
Figure BDA0002301358940000063
Figure BDA0002301358940000071
again, a production order is received, including a production wave number and a SKU file, see the following table:
Figure BDA0002301358940000072
judging whether the SKU in the production order is the SKU which needs to be maintained, if so, acquiring a maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number and the SKU file in the production order;
when a goods collecting area corresponding to the SKU is determined according to the production wave number in the production order and the SKU file, firstly, one or more goods collecting areas corresponding to the production wave number of the SKU are obtained; secondly, determining a cargo collecting area corresponding to the SKU according to the SKU file and the sorting attribute of one or more cargo collecting areas corresponding to the production wave number, wherein the following table is referred to:
Figure BDA0002301358940000073
/>
Figure BDA0002301358940000081
and finally, generating a sorting task according to the sorting attribute of the goods collecting area. And generating sorting tasks according to the goods collecting area, the sorting mode, the goods collecting mode and the sorting area of the SKU, and performing sorting operation.
In another embodiment of the present application, a production wave number, a collection area, a picking area, and a SKU file for sorting production of goods are first obtained, as shown in the following table:
production wave number Type(s)
Wave number 1 Direct feeding
Wave number 2 Direct feeding
Wave number 3 Direct feeding
Wave number 4 Modulation and allocation
Wave number 5 Modulation and allocation
Goods collecting area
FA
FB
FC
FE
FF
Sorting area
DA
DB
DC
DX
DY
SKU Name of the name General class of Sorting warm layer Sorting piece type
5555 Potato Fruit and vegetable Normal temperature Small piece
5666 Five-cereal rice Rice flour grain oil Normal temperature Large piece
5777 Streaky pork Meat and egg Chilled fresh Small piece
5888 Cola cola Drink beverage Normal temperature Middle piece
5999 Watermelon with water melon Fruit and vegetable Normal temperature Middle piece
Secondly, obtaining the corresponding relation between the production wave number and the goods collecting areas, and obtaining the sorting attribute of each goods collecting area, wherein the method comprises the following steps:
acquiring the corresponding relation between the production wave number and the cargo collecting areas, and screening SKU (stock keeping unit) conditions of the cargo collecting areas as shown in the following table:
Figure BDA0002301358940000091
the sorting mode, the goods collecting mode and the picking area of each goods collecting area are obtained, and the following table is shown:
Figure BDA0002301358940000092
defining the SKU screening range of each cargo collecting area according to the SKU screening conditions, and acquiring the SKU category and/or the SKU sorting type corresponding to each cargo collecting area, as shown in the following table:
Figure BDA0002301358940000093
Figure BDA0002301358940000101
further, setting a corresponding maintenance type cargo collecting area for the SKU to be maintained in the SKU file; in this embodiment, no commodity is assumed to need special storage;
receiving a production order, wherein the production order comprises a production wave number and a SKU file, and the following table is provided:
Figure BDA0002301358940000102
if no special maintenance SKU is needed in the production order, determining a goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file, and firstly acquiring one or more goods collecting areas corresponding to the production wave number of the SKU; secondly, determining a cargo collecting area corresponding to the SKU according to the SKU file and the sorting attribute of one or more cargo collecting areas corresponding to the production wave number, wherein the following table is referred to:
Figure BDA0002301358940000103
/>
Figure BDA0002301358940000111
and finally, generating a sorting task according to the sorting attribute of the goods collecting area. And generating sorting tasks according to the goods collecting area, the sorting mode, the goods collecting mode and the sorting area of the SKU, and performing sorting operation.
A second aspect of the present application provides a production wave positioning device, comprising:
the commodity attribute acquisition module is used for acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing commodities, wherein the SKU file at least comprises a SKU category and a SKU sorting type;
the collection area attribute acquisition module is used for acquiring the corresponding relation between the production wave number and the collection areas and the sorting attribute of each collection area, and setting a corresponding maintenance collection area for the SKU needing maintenance in the SKU file;
the SKU dividing module is used for acquiring a production order, judging whether the SKU in the production order is the SKU needing maintenance, if so, acquiring a maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file; and
and the sorting task generating module is used for generating sorting tasks according to the sorting attributes of the goods collecting area.
The utility model provides a production wave time positioner gathers goods district attribute acquisition module and includes:
the first cargo collecting area sorting attribute acquisition unit is used for acquiring SKU screening conditions of all cargo collecting areas;
the second goods collecting area sorting attribute obtaining unit is used for obtaining sorting modes, goods collecting modes and sorting areas of all the goods collecting areas;
and the third cargo collecting area sorting attribute acquisition unit is used for acquiring the SKU category and/or the SKU sorting type corresponding to each cargo collecting area.
The utility model provides a production wave number positioner, SKU letter sorting type includes letter sorting warm layer and letter sorting piece formula.
The utility model provides a production wave time positioner, SKU divide the module to include:
the first SKU dividing unit is used for acquiring one or more goods collecting areas corresponding to the production wave number of the SKU;
the second SKU dividing unit is used for determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave number.
A third aspect of the present application provides a computer device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor executing the computer program for implementing a production run-time localization method as above.
A fourth aspect of the present application provides a readable storage medium storing a computer program for implementing the production wave positioning method as above when executed by a processor.
According to the production wave number positioning method, the device, the computer equipment and the storage medium, through configuration of the corresponding relation between the production wave number and the goods collecting area and SKU screening conditions, the sorting mode, the goods collecting mode and the sorting area of each goods collecting area are configured, special SKUs are independently identified and put into a designated area to operate, sorting processing areas are divided according to the production wave number of production orders and the SKU files, orders with different attributes are collected according to different dimensions, sorting operations are performed in different areas by adopting different sorting modes, warehouse space is fully utilized, warehouse operation area is reduced, commodity quality is guaranteed, manpower is easy to arrange to operate in the same operation area, the professional degree is high, and the operation efficiency is high.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of production wave order localization comprising:
acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing the goods, wherein the SKU file at least comprises a SKU class and a SKU sorting type;
acquiring the corresponding relation between the production wave number and the goods collecting areas and the sorting attribute of each goods collecting area, and setting a corresponding maintenance type goods collecting area for the SKU required to be maintained in the SKU file;
acquiring a production order, judging whether the SKU in the production order is a SKU needing maintenance, if so, acquiring the maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number and the SKU file in the production order; and
and generating sorting tasks according to the sorting attributes of the goods collecting areas.
2. The method of claim 1, wherein obtaining sorting attributes for each of the collection areas comprises:
obtaining SKU screening conditions of each goods collecting area;
acquiring a sorting mode, a goods collecting mode and a picking area of each goods collecting area;
and obtaining the SKU category and/or the SKU sorting type corresponding to each goods collecting area.
3. The production wave positioning method according to claim 2, wherein the SKU sorting type includes a sorting warm layer and a sorting piece type.
4. The method for positioning production wave number according to claim 1, wherein the determining the cargo area corresponding to the SKU according to the production wave number in the production order and the SKU file comprises:
acquiring one or more goods collecting areas corresponding to the production wave number of the SKU;
and determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave number.
5. A production wave order positioning device, characterized by comprising:
the commodity attribute acquisition module is used for acquiring production wave times, a goods collecting area, a selecting area and a SKU file for sorting and processing commodities, wherein the SKU file at least comprises a SKU category and a SKU sorting type;
the collection area attribute acquisition module is used for acquiring the corresponding relation between the production wave number and the collection areas and the sorting attribute of each collection area, and setting a corresponding maintenance collection area for the SKU to be maintained in the SKU file;
the SKU dividing module is used for acquiring a production order, judging whether the SKU in the production order is the SKU which needs maintenance, if so, acquiring the maintenance type goods collecting area corresponding to the SKU, otherwise, determining the goods collecting area corresponding to the SKU according to the production wave number in the production order and the SKU file; and
and the sorting task generating module is used for generating sorting tasks according to the sorting attributes of the goods collecting area.
6. The production wave positioning device according to claim 5, wherein the collection area attribute obtaining module includes:
the first cargo collecting area sorting attribute acquisition unit is used for acquiring SKU screening conditions of each cargo collecting area;
the second goods collecting area sorting attribute obtaining unit is used for obtaining sorting modes, goods collecting modes and sorting areas of the goods collecting areas;
and the third cargo collecting area sorting attribute obtaining unit is used for obtaining the SKU category and/or the SKU sorting type corresponding to each cargo collecting area.
7. The production wave positioning device of claim 6, wherein the SKU sorting type includes a sorting temperature layer and a sort piece type.
8. The production shot positioning device of claim 5, wherein the SKU partitioning module comprises:
the first SKU dividing unit is used for acquiring one or more goods collecting areas corresponding to the production wave number of the SKU;
and the second SKU dividing unit is used for determining the goods collecting area corresponding to the SKU according to the SKU file and the sorting attribute of the one or more goods collecting areas corresponding to the production wave number.
9. A computer device comprising a processor, a memory and a computer program stored on the memory and running on the processor, the processor executing the computer program for implementing the production run time location method of any of claims 1-4.
10. A readable storage medium storing a computer program, which, when executed by a processor, is adapted to carry out the production run time localization method according to any one of claims 1-4.
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