CN110659761A - Dynamic stock optimization method under automobile part pulling type requirement - Google Patents
Dynamic stock optimization method under automobile part pulling type requirement Download PDFInfo
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- CN110659761A CN110659761A CN201810721247.0A CN201810721247A CN110659761A CN 110659761 A CN110659761 A CN 110659761A CN 201810721247 A CN201810721247 A CN 201810721247A CN 110659761 A CN110659761 A CN 110659761A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000005457 optimization Methods 0.000 title claims abstract description 13
- 238000004519 manufacturing process Methods 0.000 claims abstract description 20
- 238000003860 storage Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- 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
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Abstract
The invention discloses a dynamic stock optimization method under the pull-type requirement of automobile parts, which comprises the following steps: (1) acquiring part information required to be matched with different automobile types of automobiles; (2) obtaining the yield and sales information of each automobile type; (3) acquiring the production and processing time of the part; (4) acquiring logistics transportation time when a production factory or a purchasing factory arrives at each warehouse, and acquiring position information and logistics transportation time among the warehouses; (5) setting different stock quantity warning values of the warehouses according to different positions of the warehouses, and uniformly recording the stock quantity warning values into the database; (6) and warehousing or ex-warehousing the parts stored in each warehouse. The invention can achieve the beneficial effects of reasonably preparing the stock, reducing the finished product stock and reducing the fund occupation on the premise of supply.
Description
Technical Field
The invention belongs to the technical field of automobile part stock, and particularly relates to a dynamic stock optimization method under the pull-type requirement of automobile parts.
Background
A large number of parts are needed to be used when the automobile is produced, and the number and types of the parts stored in the part warehouses are different due to the influence of different factors such as automobile types and production quantity. In the case of the current common problems, parts are often insufficient and need to be temporarily produced or collected from other warehouses; or the situation that the part is stored excessively and the capital cost pressure is increased occurs.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a dynamic stock-keeping optimization method under the pull-type requirement of automobile parts, which can achieve the beneficial effects of reasonably reserving stock, reducing finished product stock and reducing fund occupation on the premise of supply.
In order to solve the technical problems, the invention adopts the technical scheme that: the dynamic stock optimization method under the pull-type requirement of the automobile parts comprises the following steps:
(1) acquiring part information required to be matched with different automobile types of automobiles;
(2) obtaining the yield and sales information of each automobile type;
(3) acquiring the production and processing time of the part;
(4) acquiring logistics transportation time when a production factory or a purchasing factory arrives at each warehouse, and acquiring position information and logistics transportation time among the warehouses;
(5) setting different stock quantity warning values of the warehouses according to different positions of the warehouses, and uniformly recording the stock quantity warning values into the database;
(6) and warehousing or ex-warehousing the parts stored in each warehouse.
Preferably, in the step (1), the types of parts required by different vehicle types and the number of parts required by a single vehicle are acquired, and whether universal parts exist or not is discriminated.
Preferably, in step (2), monthly and annual production plans for each vehicle type are acquired, and sales in the current year are predicted according to sales in the last season of the year and actual conditions.
Preferably, in the step (5), a relatively low stock quantity warning value is set for a warehouse close to a production factory or a purchasing factory; a warehouse distant from a production factory or a purchasing factory sets a relatively high stock quantity warning value.
Preferably, in step (5), the number of parts of different types in each warehouse is recorded in a database.
Preferably, in step (6), the warehousing of the parts in each warehouse includes the following procedures:
(a) recording information of the part;
(b) storing the parts in corresponding storage positions according to the types of the parts;
(c) uploading the data to a database and updating the data.
Preferably, in step (6), the unloading of the parts from each warehouse includes the following steps:
(a) confirming the destination of the parts after being taken out of the warehouse;
(b) locating a warehouse closest to the destination;
(c) inputting the type and the number of the specifically required parts in a database;
(d) according to the stock quantity condition in the nearest warehouse, if the stock quantity condition is completely sufficient, directly delivering the warehouse; if the stock quantity is insufficient or the stock quantity after delivery falls below the stock quantity warning value, sequentially and preferentially calling stock replenishment from other nearest warehouses according to the distance from a production factory or a purchasing factory;
(e) uploading the data to a database and updating the data.
Compared with the prior art, the invention has the beneficial effects that: the invention can achieve the beneficial effects of reasonably preparing the stock, reducing the finished product stock and reducing the fund occupation on the premise of supply.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present invention, the following detailed description of the present invention is provided in connection with specific embodiments.
The embodiment of the invention discloses a dynamic stock optimization method under the pull-type requirement of automobile parts, which comprises the following steps:
(1) acquiring part information required to be matched with different automobile types of automobiles;
(2) obtaining the yield and sales information of each automobile type;
(3) acquiring the production and processing time of the part;
(4) acquiring logistics transportation time when a production factory or a purchasing factory arrives at each warehouse, and acquiring position information and logistics transportation time among the warehouses;
(5) setting different stock quantity warning values of the warehouses according to different positions of the warehouses, and uniformly recording the stock quantity warning values into the database;
(6) and warehousing or ex-warehousing the parts stored in each warehouse.
In this embodiment, in step (1), the types of parts required by different vehicle types and the number of parts required by a single vehicle are acquired, and whether there is a general part or not is determined.
In this embodiment, in step (2), monthly and annual yield plans of each vehicle type are obtained, and the sales situation of the current year is predicted according to the sales situation of the current busy season in combination with the actual situation.
In this embodiment, in the step (5), a relatively low warning value of the stock quantity is set for the warehouse close to the production factory or the purchasing factory; a warehouse distant from a production factory or a purchasing factory sets a relatively high stock quantity warning value.
In this embodiment, in step (5), the number of parts of different types in each warehouse is recorded in the database.
In this embodiment, in step (6), the warehousing of the parts in each warehouse includes the following processes:
(a) recording information of the part;
(b) storing the parts in corresponding storage positions according to the types of the parts;
(c) uploading the data to a database and updating the data.
In this embodiment, in step (6), the unloading of the parts from each warehouse includes the following steps:
(a) confirming the destination of the parts after being taken out of the warehouse;
(b) locating a warehouse closest to the destination;
(c) inputting the type and the number of the specifically required parts in a database;
(d) according to the stock quantity condition in the nearest warehouse, if the stock quantity condition is completely sufficient, directly delivering the warehouse; if the stock quantity is insufficient or the stock quantity after delivery falls below the stock quantity warning value, sequentially and preferentially calling stock replenishment from other nearest warehouses according to the distance from a production factory or a purchasing factory;
(e) uploading the data to a database and updating the data.
The present invention has been described in detail with reference to the embodiments, but the description is only illustrative of the present invention and should not be construed as limiting the scope of the present invention. The scope of the invention is defined by the claims. The technical solutions of the present invention or those skilled in the art, based on the teaching of the technical solutions of the present invention, should be considered to be within the scope of the present invention, and all equivalent changes and modifications made within the scope of the present invention or equivalent technical solutions designed to achieve the above technical effects are also within the scope of the present invention. It should be noted that for the sake of clarity, parts of the description of the invention have been omitted where there is no direct explicit connection with the scope of protection of the invention, but where components and processes are known to those skilled in the art.
Claims (7)
1. The dynamic stock optimization method under the pull-type requirement of the automobile parts is characterized by comprising the following steps of:
(1) acquiring part information required to be matched with different automobile types of automobiles;
(2) obtaining the yield and sales information of each automobile type;
(3) acquiring the production and processing time of the part;
(4) acquiring logistics transportation time when a production factory or a purchasing factory arrives at each warehouse, and acquiring position information and logistics transportation time among the warehouses;
(5) setting different stock quantity warning values of the warehouses according to different positions of the warehouses, and uniformly recording the stock quantity warning values into the database;
(6) and warehousing or ex-warehousing the parts stored in each warehouse.
2. The dynamic stock optimization method under the pull-type requirement of automobile parts according to claim 1, characterized in that in step (1), the part types required by different automobile types and the part number required by a single vehicle are obtained, and whether universal parts exist or not is discriminated.
3. The method of claim 1, wherein in step (2), monthly and annual production plans for each vehicle type are obtained, and the current year of sales is predicted according to the current year of sales in the light and busy seasons in combination with actual conditions.
4. The dynamic stock optimization method under pull-type demand for automobile parts according to claim 1, wherein in the step (5), a relatively low stock quantity warning value is set for a warehouse located close to a production factory or a purchasing factory; a warehouse distant from a production factory or a purchasing factory sets a relatively high stock quantity warning value.
5. The method for dynamic stock optimization under pull-type demand of automotive parts as claimed in claim 1, wherein in step (5), the number of different kinds of parts in each warehouse is recorded in a database.
6. The method for dynamic stock optimization under pull-type requirement of automobile parts according to claim 1, wherein in the step (6), the warehousing of the parts in each warehouse comprises the following procedures:
(a) recording information of the part;
(b) storing the parts in corresponding storage positions according to the types of the parts;
(c) uploading the data to a database and updating the data.
7. The method for dynamic stock optimization under pull-type requirement of automotive parts according to claim 1, wherein in the step (6), the part delivery from each warehouse comprises the following procedures:
(a) confirming the destination of the parts after being taken out of the warehouse;
(b) locating a warehouse closest to the destination;
(c) inputting the type and the number of the specifically required parts in a database;
(d) according to the stock quantity condition in the nearest warehouse, if the stock quantity condition is completely sufficient, directly delivering the warehouse; if the stock quantity is insufficient or the stock quantity after delivery falls below the stock quantity warning value, sequentially and preferentially calling stock replenishment from other nearest warehouses according to the distance from a production factory or a purchasing factory;
(e) uploading the data to a database and updating the data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810721247.0A CN110659761A (en) | 2018-06-29 | 2018-06-29 | Dynamic stock optimization method under automobile part pulling type requirement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810721247.0A CN110659761A (en) | 2018-06-29 | 2018-06-29 | Dynamic stock optimization method under automobile part pulling type requirement |
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| Publication Number | Publication Date |
|---|---|
| CN110659761A true CN110659761A (en) | 2020-01-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810721247.0A Withdrawn CN110659761A (en) | 2018-06-29 | 2018-06-29 | Dynamic stock optimization method under automobile part pulling type requirement |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114435508A (en) * | 2020-10-19 | 2022-05-06 | 丰田自动车株式会社 | Unmanned transportation system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8818884B2 (en) * | 2008-09-18 | 2014-08-26 | Sap Ag | Architectural design for customer returns handling application software |
| CN106875147A (en) * | 2017-03-28 | 2017-06-20 | 苏州中德联信汽车服务股份有限公司 | A kind of WMS for servicer spare and accessory parts |
| CN107516175A (en) * | 2016-06-16 | 2017-12-26 | 苏宁云商集团股份有限公司 | A kind of stock allotment method and device |
| CN108197878A (en) * | 2018-01-29 | 2018-06-22 | 王旖旎 | A kind of accurate inventory management system of cross-border electric business oversea location and method |
-
2018
- 2018-06-29 CN CN201810721247.0A patent/CN110659761A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8818884B2 (en) * | 2008-09-18 | 2014-08-26 | Sap Ag | Architectural design for customer returns handling application software |
| CN107516175A (en) * | 2016-06-16 | 2017-12-26 | 苏宁云商集团股份有限公司 | A kind of stock allotment method and device |
| CN106875147A (en) * | 2017-03-28 | 2017-06-20 | 苏州中德联信汽车服务股份有限公司 | A kind of WMS for servicer spare and accessory parts |
| CN108197878A (en) * | 2018-01-29 | 2018-06-22 | 王旖旎 | A kind of accurate inventory management system of cross-border electric business oversea location and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114435508A (en) * | 2020-10-19 | 2022-05-06 | 丰田自动车株式会社 | Unmanned transportation system |
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Application publication date: 20200107 |
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