CN110889661A - Production wave number positioning method and device, computer equipment and storage medium - Google Patents

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

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CN110889661A
CN110889661A CN201911222965.4A CN201911222965A CN110889661A CN 110889661 A CN110889661 A CN 110889661A CN 201911222965 A CN201911222965 A CN 201911222965A CN 110889661 A CN110889661 A CN 110889661A
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sku
sorting
production
cargo
area
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CN110889661B (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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Beijing Meixian 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 food sorting operation, and particularly relates to a production wave frequency positioning method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting, processing and producing commodities, wherein the SKU file at least comprises a SKU type and a SKU sorting type; acquiring the corresponding relation between the production times and the cargo areas and the sorting attributes of the cargo areas, and setting corresponding maintenance type cargo areas for the SKU required to be maintained in the SKU file; acquiring a production order, judging whether a SKU in the production order is the SKU needing maintenance, if so, acquiring the maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production frequency in the production order and the SKU file; and generating a sorting task according to the sorting attribute of the cargo collection area. This application does benefit to and reduces warehouse area of operation, ensures commodity quality, and it is high to improve the operating efficiency.

Description

Production wave number positioning method and device, computer equipment and storage medium
Technical Field
The application belongs to the technical field of fresh food sorting operation, and particularly relates to a production wave frequency positioning method and device, computer equipment and a storage medium.
Background
In order to ensure the quality of goods in fresh SKUs (stock in and out metering units), the operation process generally separates SKUs of orders according to temperature, sorting type, category and the like.
The actual sorting operation area (goods collection area), the goods collection 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 volume is very large, the excessive warehouse area is occupied during the sorting operation, the workload of workers 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 collection area in the same sorting mode, and for some special commodities, such as the commodities which have higher freshness requirement and are fragile or easy to taint with odor, the quality of the commodities is difficult to guarantee.
Accordingly, a technical solution is desired to overcome or at least alleviate at least one of the above-mentioned drawbacks of the prior art.
Disclosure of Invention
The present application is directed to a method, an apparatus, a computer device and a storage medium for locating a production order, so as to solve at least one problem of the prior art.
The technical scheme of the application is as follows:
a first aspect of the present application provides a production wavefront localization method, comprising:
acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting, processing and producing commodities, wherein the SKU file at least comprises a SKU type and a SKU sorting type;
acquiring the corresponding relation between the production times and the cargo areas and the sorting attributes of the cargo areas, and setting corresponding maintenance type cargo areas for the SKU required to be maintained in the SKU file;
acquiring a production order, judging whether a SKU in the production order is the SKU needing maintenance, if so, acquiring the maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production frequency in the production order and the SKU file; and
and generating a sorting task according to the sorting attribute of the cargo collection area.
Optionally, the obtaining of the sorting attribute of each cargo collection area includes:
acquiring SKU screening conditions of each cargo collection area;
acquiring a sorting mode, a goods collecting mode and a sorting area of each goods collecting area;
and acquiring the SKU type and/or SKU sorting type corresponding to each cargo collection area.
Optionally, the SKU sort types include sort warm layer and sort piece types.
Optionally, the determining the cargo collection area corresponding to the SKU according to the production frequency in the production order and the SKU archive includes:
acquiring one or more cargo areas corresponding to the production frequency of the SKU;
and determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of one or more cargo collection areas corresponding to the production times.
A second aspect of the present application provides a production wavefront positioning device, comprising:
the system comprises a commodity attribute acquisition module, a storage module and a processing module, wherein the commodity attribute acquisition module is used for acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting and processing commodities, and the SKU file at least comprises a SKU type and a SKU sorting type;
a cargo collection area attribute acquisition module, configured to acquire a correspondence between the production times and the cargo collection areas and sorting attributes of the cargo collection areas, and set a corresponding maintenance-type cargo collection area for a SKU to be maintained in the SKU archive;
a SKU dividing module, configured to obtain a production order, determine whether a SKU in the production order is a SKU that needs to be maintained, if so, obtain the maintenance-type cargo area corresponding to the SKU, otherwise, determine the cargo area corresponding to the SKU according to a production frequency in the production order and a SKU file; and
and the sorting task generating module is used for generating a sorting task according to the sorting attribute of the cargo collection area.
Optionally, the cargo area attribute obtaining module includes:
the first cargo collection area sorting attribute acquisition unit is used for acquiring SKU screening conditions of the cargo collection areas;
the second cargo collection area sorting attribute acquisition unit is used for acquiring the sorting mode, the cargo collection mode and the sorting area of each cargo collection area;
and the third cargo collection area sorting attribute acquisition unit is used for acquiring the SKU category and/or the SKU sorting type corresponding to each cargo collection area.
Optionally, the SKU sort types include sort warm layer and sort piece types.
Optionally, the SKU partitioning module includes:
the first SKU dividing unit is used for acquiring one or more cargo areas corresponding to the production frequency of the SKU;
and the second SKU dividing unit is used for determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of one or more cargo collection areas corresponding to the production frequency.
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 the production wavefront location method as described above.
A fourth aspect of the application provides a readable storage medium having stored thereon a computer program for implementing the method of production wave localization as described above when executed by a processor.
The invention has at least the following beneficial technical effects:
the production order positioning method comprises the steps of firstly configuring the relation between the production order and the goods collection area and the sorting attribute of each goods collection area, identifying the special SKU independently to designate the corresponding goods collection area, then sorting and processing the area according to the production order of the production order and the SKU file, collecting the orders with different attributes according to different dimensions, adopting different sorting modes, sorting operation in different areas, fully utilizing the warehouse space, being beneficial to reducing the operation area of a warehouse, ensuring the quality of goods, easily arranging manpower to operate in the same operation area, and being high in professional degree and operation efficiency.
Drawings
FIG. 1 is a flow chart of a method of production wavefront location according to one embodiment of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the 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 a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
The present application is described in further detail below with reference to fig. 1.
A first aspect of the present application provides a production run locating method, suitable for use in a warehouse of the type: (1) a warehouse for sorting operation by regions to ensure the quality of commodities; (2) the warehouse area is limited, and the warehouse needs to be dispatched for multiple times.
The production wave number positioning method comprises the following steps:
acquiring production times, a goods collecting area, a sorting area and SKU files for sorting, processing and producing commodities, wherein the SKU files at least comprise SKU types and SKU sorting types;
acquiring the corresponding relation between the production times and the cargo collection areas and the sorting attributes of the cargo collection areas, and setting corresponding maintenance type cargo collection areas for the SKU required to be maintained in the SKU file;
acquiring a production order, judging whether a SKU in the production order is the SKU needing maintenance or not, if so, acquiring a maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production order and the SKU file in the production order; and
and generating a sorting task according to the sorting attribute of the goods collection area.
In this application, the SKU archive may include a commodity name, a SKU category, and a SKU sort type, and in this embodiment, the SKU category is a large category, and the SKU sort type includes a sort warm layer and a sort piece type, and the large category may include fruits and vegetables, rice flour, grain and oil, meat, eggs, drinks, and the like, and the sort warm layer may include normal temperature, cold fresh, and the sort piece type may include small pieces, medium pieces, and large pieces.
According to the production wave positioning method, the sorting attributes of each goods collection area comprise: the SKU screening conditions of each cargo collection area, the sorting mode, the cargo collection mode and the sorting area of each cargo collection area, and the SKU type and/or SKU sorting type corresponding to each cargo collection area. In this embodiment, the SKU screening condition is to screen SKUs according to one or more combinations of a large category, a sorting temperature zone, and a sorting type, and a SKU screening range, that is, a corresponding SKU category and/or a SKU sorting type, of each cargo collection area is defined according to the SKU screening condition, where the SKU screening range may be one or more combinations of fruits and vegetables, rice and flour grain and oil, meat and eggs, drinks, normal temperature, cold fresh, small pieces, medium pieces, and large pieces.
The method for positioning the production order comprises the following steps of determining a cargo collection area corresponding to the SKU according to the production order in the production order and the SKU archive: acquiring one or more cargo areas corresponding to the production frequency of the SKU; and determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of one or more cargo collection areas corresponding to the production times.
In one embodiment of the present application, the production times, the cargo collection area, the picking area, and the SKU file for sorting the commodities are obtained first, as shown in the following table:
production order Type (B)
Order of wave 1 Direct feeding
Order 2 of wave Direct feeding
Order 3 of wave Direct feeding
Order 4 of wave Adjusting and dialing
Order 5 of wave Adjusting and dialing
Goods collecting area
FA
FB
FC
FE
FF
Sorting area
DA
DB
DC
DX
DY
SKU Name (R) Large class Sorting temperature layer Sorting type
5555 Potato Fruit and vegetable At normal temperature Small piece
5666 Wuchang rice Rice and flour grain oil At normal temperature Large piece
5777 Streaky pork Meat and egg Cold fresh food Small piece
5888 Coca cola Drink beverage At normal temperature Middle piece
5999 Watermelon Fruit and vegetable At normal temperature Middle piece
Secondly, obtain the corresponding relation of production frequency and collection district to and obtain the letter sorting attribute in each collection district, include:
the corresponding relation between the production times and the cargo collection areas and the SKU screening conditions of the cargo collection areas are obtained as shown in the following table:
Figure BDA0002301358940000051
the sorting mode, the goods collecting mode and the sorting area of each goods collecting area are obtained, and the following tables show that:
Figure BDA0002301358940000061
defining a SKU screening range of each cargo collection area according to the SKU screening condition, and acquiring a SKU type and/or a SKU sorting type corresponding to each cargo collection area, wherein the SKU type and/or the SKU sorting type are shown in the following table:
Figure BDA0002301358940000062
furthermore, a corresponding maintenance type cargo collection area is set for the SKU needing to be maintained in the SKU file; in this embodiment, assume SKU5999, watermelon, which is fragile and requires special storage, and which is to be handled as a SKU requiring maintenance in the FF cargo area. A special instance of the SKU is maintained and set in the FF cargo area, see table below:
Figure BDA0002301358940000063
Figure BDA0002301358940000071
third, a production order is received, the production order including a production wave and a SKU archive, see the following table:
Figure BDA0002301358940000072
judging whether the SKU in the production order is the SKU needing maintenance, if so, acquiring a maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production order in the production order and the SKU file;
when the goods collection 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 collection areas corresponding to the production wave number of the SKU are obtained; secondly, according to the SKU file and the sorting attributes of one or more cargo areas corresponding to the production times, determining the cargo area corresponding to the SKU, and referring to the following table:
Figure BDA0002301358940000073
Figure BDA0002301358940000081
and finally, generating a sorting task according to the sorting attribute of the goods collection area. And generating a sorting task according to the cargo collection area, the sorting mode, the cargo collection mode and the sorting area of the SKU, and carrying out sorting operation.
In another embodiment of the present application, the production times, the cargo collection area, the picking area, and the SKU file for sorting the items are obtained as shown in the following table:
production order Type (B)
Order of wave 1 Direct feeding
Order 2 of wave Direct feeding
Order 3 of wave Direct feeding
Order 4 of wave Adjusting and dialing
Order 5 of wave Adjusting and dialing
Goods collecting area
FA
FB
FC
FE
FF
Sorting area
DA
DB
DC
DX
DY
SKU Name (R) Large class Sorting temperature layer Sorting type
5555 Potato Fruit and vegetable At normal temperature Small piece
5666 Wuchang rice Rice and flour grain oil At normal temperature Large piece
5777 Streaky pork Meat and egg Cold fresh food Small piece
5888 Coca cola Drink beverage At normal temperature Middle piece
5999 Watermelon Fruit and vegetable At normal temperature Middle piece
Secondly, obtain the corresponding relation of production frequency and collection district to and obtain the letter sorting attribute in each collection district, include:
the corresponding relation between the production times and the cargo collection areas and the SKU screening conditions of the cargo collection areas are obtained as shown in the following table:
Figure BDA0002301358940000091
the sorting mode, the goods collecting mode and the sorting area of each goods collecting area are obtained, and the following tables show that:
Figure BDA0002301358940000092
defining a SKU screening range of each cargo collection area according to the SKU screening condition, and acquiring a SKU type and/or a SKU sorting type corresponding to each cargo collection area, wherein the SKU type and/or the SKU sorting type are shown in the following table:
Figure BDA0002301358940000093
Figure BDA0002301358940000101
furthermore, a corresponding maintenance type cargo collection area is set for the SKU needing to be maintained in the SKU file; in this embodiment, it is assumed that no goods need to be stored specially;
receiving a production order including a production wave and a SKU archive, see the following table:
Figure BDA0002301358940000102
if no SKU needing special maintenance exists in the production order, determining a cargo collection 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 cargo collection areas corresponding to the production wave number of the SKU; secondly, according to the SKU file and the sorting attributes of one or more cargo areas corresponding to the production times, determining the cargo area corresponding to the SKU, and referring to the following table:
Figure BDA0002301358940000103
Figure BDA0002301358940000111
and finally, generating a sorting task according to the sorting attribute of the goods collection area. And generating a sorting task according to the cargo collection area, the sorting mode, the cargo collection mode and the sorting area of the SKU, and carrying out sorting operation.
A second aspect of the present application provides a production wavefront positioning device, comprising:
the system comprises a commodity attribute acquisition module, a storage module and a sorting module, wherein the commodity attribute acquisition module is used for acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting, processing and producing commodities, and the SKU file at least comprises a SKU type and a SKU sorting type;
the cargo collection area attribute acquisition module is used for acquiring the corresponding relation between the production frequency and the cargo collection area and the sorting attribute of each cargo collection area and setting a corresponding maintenance type cargo collection area for the SKU required to be maintained in the SKU file;
the SKU dividing module is used for acquiring the production order and judging whether the SKU in the production order is the SKU needing to be maintained or not, if so, acquiring a maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production frequency 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 application discloses production ripples positioner, collection cargo area attribute acquisition module includes:
the first cargo collection area sorting attribute acquisition unit is used for acquiring SKU screening conditions of each cargo collection area;
the second cargo collection area sorting attribute acquisition unit is used for acquiring the sorting mode, the cargo collection mode and the sorting area of each cargo collection area;
and the third cargo collection area sorting attribute acquisition unit is used for acquiring the SKU type and/or SKU sorting type corresponding to each cargo collection area.
The application discloses production ripples positioner, SKU letter sorting type include letter sorting temperature layer and letter sorting type.
The application discloses production ripples positioner, SKU divide the module and include:
the system comprises a first SKU dividing unit, a second SKU dividing unit and a control unit, wherein the first SKU dividing unit is used for acquiring one or more cargo areas corresponding to the production frequency of the SKU;
and the second SKU dividing unit is used for determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of the one or more cargo collection areas corresponding to the production frequency.
A third aspect of the 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 the method for production run localization as above.
A fourth aspect of the present application provides a readable storage medium, which stores a computer program for implementing the method for production run localization as above when executed by a processor.
The production order positioning method, the production order positioning device, the computer equipment and the storage medium are characterized in that the corresponding relation between the production order and the goods collection area is configured, SKU screening conditions are further configured, sorting modes of the goods collection areas, goods collection modes and sorting areas are configured, special SKUs are separately identified and placed in a designated area for operation, sorting and processing area division is carried out according to production orders and SKU files, orders with different attributes, goods collection according to different dimensions and different sorting modes are adopted, sorting operation is carried out in different areas, warehouse space is fully utilized, warehouse operation area is favorably 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 above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within 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 wavefront localization, comprising:
acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting, processing and producing commodities, wherein the SKU file at least comprises a SKU type and a SKU sorting type;
acquiring the corresponding relation between the production times and the cargo areas and the sorting attributes of the cargo areas, and setting corresponding maintenance type cargo areas for the SKU required to be maintained in the SKU file;
acquiring a production order, judging whether a SKU in the production order is the SKU needing maintenance, if so, acquiring the maintenance type cargo collection area corresponding to the SKU, otherwise, determining the cargo collection area corresponding to the SKU according to the production frequency in the production order and the SKU file; and
and generating a sorting task according to the sorting attribute of the cargo collection area.
2. The production lot location method of claim 1, wherein obtaining the sorting attributes for each of the cargo areas comprises:
acquiring SKU screening conditions of each cargo collection area;
acquiring a sorting mode, a goods collecting mode and a sorting area of each goods collecting area;
and acquiring the SKU type and/or SKU sorting type corresponding to each cargo collection area.
3. The production lot location method of claim 2, wherein the SKU sort types include a sort warm layer and a sort piece type.
4. The method according to claim 1, wherein determining the cargo area corresponding to the SKU according to the production wave in the production order and the SKU archive comprises:
acquiring one or more cargo areas corresponding to the production frequency of the SKU;
and determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of one or more cargo collection areas corresponding to the production times.
5. A production wavefront location device, comprising:
the system comprises a commodity attribute acquisition module, a storage module and a processing module, wherein the commodity attribute acquisition module is used for acquiring a production process, a goods collection area, a sorting area and a SKU file for sorting and processing commodities, and the SKU file at least comprises a SKU type and a SKU sorting type;
a cargo collection area attribute acquisition module, configured to acquire a correspondence between the production times and the cargo collection areas and sorting attributes of the cargo collection areas, and set a corresponding maintenance-type cargo collection area for a SKU to be maintained in the SKU archive;
a SKU dividing module, configured to obtain a production order, determine whether a SKU in the production order is a SKU that needs to be maintained, if so, obtain the maintenance-type cargo area corresponding to the SKU, otherwise, determine the cargo area corresponding to the SKU according to a production frequency in the production order and a SKU file; and
and the sorting task generating module is used for generating a sorting task according to the sorting attribute of the cargo collection area.
6. The production wave positioning device of claim 5, wherein the cargo area property acquisition module comprises:
the first cargo collection area sorting attribute acquisition unit is used for acquiring SKU screening conditions of the cargo collection areas;
the second cargo collection area sorting attribute acquisition unit is used for acquiring the sorting mode, the cargo collection mode and the sorting area of each cargo collection area;
and the third cargo collection area sorting attribute acquisition unit is used for acquiring the SKU category and/or the SKU sorting type corresponding to each cargo collection area.
7. The production lot positioning device of claim 6, wherein the SKU sort types include a sort warm layer and a sort piece type.
8. The production wave positioning device of claim 5, wherein the SKU partitioning module comprises:
the first SKU dividing unit is used for acquiring one or more cargo areas corresponding to the production frequency of the SKU;
and the second SKU dividing unit is used for determining the cargo collection area corresponding to the SKU according to the SKU file and the sorting attributes of one or more cargo collection areas corresponding to the production frequency.
9. 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 the production wavefront location method of any one of claims 1-4.
10. A readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, is adapted to implement the method of any one of claims 1-4.
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