CN103106547A - Device and method for forecasting steel product procurement demands - Google Patents
Device and method for forecasting steel product procurement demands Download PDFInfo
- Publication number
- CN103106547A CN103106547A CN2013100555960A CN201310055596A CN103106547A CN 103106547 A CN103106547 A CN 103106547A CN 2013100555960 A CN2013100555960 A CN 2013100555960A CN 201310055596 A CN201310055596 A CN 201310055596A CN 103106547 A CN103106547 A CN 103106547A
- Authority
- CN
- China
- Prior art keywords
- inventory
- information
- database
- interface
- finished goods
- 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.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a device and a method for forecasting steel product procurement demands. A set of new forecasting models of the steel product procurement demands are built based on component and part information and combined with production plans and material inventory and finished goods inventory conditions. By means of the device and the method for forecasting the steel product procurement demands, inventory turnover speeds can be improved, forecasting accuracy can be improved, inventory management levels can be greatly improved, the business model of optimal inventory and minimum cost of supply chain service of steel product production enterprises can be achieved, and economical efficiency is excellent.
Description
Technical field
The present invention relates to be applied to steel manufacturer's procurement demand prediction unit and method, particularly a kind of device and method that is applicable to the procurement demand prediction of steel centralized purchasing.
Background technology
At present, the demand forecast of steel buying is take components information as the basis, in conjunction with the production schedule and material inventory situation, sets up a cover steel procurement demand forecast model, then predicts procurement demand by system according to the up-to-date production schedule.It is all to manage and forecast demand according to material inventory, not in conjunction with finished goods inventory status.For large shape production company, because its production scale that relates to is very large, the pattern of production and processing is very complicated various, and the trade form of employing steel centralized purchasing, therefore it is inadequate only carrying out demand forecast according to material inventory, and it is difficult to accomplish the accuracy of steel buying and stock's optimization.
Summary of the invention
The object of the present invention is to provide a kind of steel procurement demand prediction unit and method of considering simultaneously material inventory and finished goods inventory, so that accuracy and the stock of steel buying accomplish optimum.
A kind of steel procurement demand prediction unit of the present invention comprises:
External communication interface is used for receiving parts inventory information, production schedule information, material inventory information and the finished goods inventory information that external system transmits, and by data-interface, these information is stored in database; Reception is from the request of access of external system, and returns to the purchase and order list;
Database is used for depositing components information, production schedule information, material inventory information, finished goods inventory information, procurement demand information of forecasting;
Data-interface is used for connecting and accessing database;
The part management module, obtain the parts inventory information of database by data-interface, set up structural relation between each assembly, parts and the starting material that reflection is assembled into final products and component structural and the quantitative relation table of the needed subordinate's component number of each assembly magnitude relation, and should show to store database into by data-interface;
The production planning management module is obtained production schedule information by data-interface, generates production task single, and the production task single-pass is crossed data-interface store database into;
The material inventory administration module receives raw materials inventory information by external communication interface, deposits in the Kuku according to starting material and transportation inventory real-time update raw materials inventory; Raw materials inventory safety inventory coefficient is set, and raw materials inventory and the raw materials inventory safety coefficient upgraded are stored in database by data-interface;
The finished goods inventory administration module receives finished goods inventory information by external communication interface, according to finished product, Work in Process situation, and the real-time update finished goods inventory, and the finished goods inventory that upgrades is stored in database by data-interface;
The procurement demand prediction module, obtain finished goods inventory, raw materials inventory, raw materials inventory safety coefficient and production task by data-interface single, purchase and order list raw-material according to these Information generations, and the purchase and order single-pass is crossed data-interface store in database.
A kind of method of using above-mentioned steel procurement demand prediction unit to carry out the prediction of steel procurement demand comprises the steps:
External communication interface receives parts inventory information, production schedule information, material inventory information and the finished goods inventory information that external system sends, and above-mentioned information is stored in database;
Parts inventory information in part management module reading database, generate component structural relation and quantitative relation table according to the structural relation between each assembly, parts and the starting material that are assembled into final products and the needed subordinate's component number of each assembly magnitude relation, and this table is stored in database;
The production schedule information that production schedule module reads generates production task single, and singly stores production task into database;
The material inventory administration module reads material inventory information, according to the situation of depositing in the Kuku with transportation inventory, the real-time update material inventory arranges the material inventory safety coefficient, and the material inventory safety coefficient of the material inventory after upgrading and setting stores in database;
The finished goods inventory information that the finished goods inventory administration module reads, according to finished product with in the situation of goods, the real-time update finished goods inventory, and the finished goods inventory after upgrading stores in database;
The procurement demand prediction module reads component structural relation and quantitative relation table, production task list, material inventory, finished goods inventory and material inventory safety coefficient, according to these Information generation purchase and order lists, and the purchase and order list is stored in database.
Procurement demand prediction unit of the present invention and method, by take components information as the basis, in conjunction with the production schedule and material inventory, finished goods inventory status, set up a brand-new steel procurement demand forecast model of cover, the accuracy that it has improved the procurement demand prediction reduces backlog total; And can improve stock's turnaround speed, and and then realize keeping optimal inventory, the stock control level is significantly improved, realize the Optimal Inventory of the supply chain service of steel manufacturing enterprises, the management model of least cost.Its make steel supplier can be more effective, more quickly the demand of turn of the market and supply chain down-stream enterprise is made rapid reaction, form supplier and share important information with supply chain down-stream enterprise, improve separately demand forecast, replenishing plan, adopt pin pipe and manage and transport loading plan etc.
Description of drawings
Fig. 1 is the theory diagram of steel procurement demand prediction unit of the present invention.
Embodiment
A kind of steel procurement demand prediction unit as Fig. 1, comprising:
External communication interface 101 is used for receiving parts inventory information, production schedule information, material inventory information and the finished goods inventory information that external system 2 transmits, and by data-interface, these information is stored in database; Reception is from the request of access of external system, and returns to the purchase and order list;
Database 102 is used for depositing components information, production schedule information, material inventory information, finished goods inventory information, procurement demand information of forecasting;
Data-interface 103 is used for connecting and accessing database 102;
Part management module 104, obtain the parts inventory information of database 102 by data-interface 103, set up structural relation between each assembly, parts and the starting material that reaction is assembled into final products and component structural and the quantitative relation table of the needed subordinate's component number of each assembly magnitude relation, and should show to store database into by data-interface;
Production planning management module 105 is obtained production schedule information by data-interface, generates production task single, and the production task single-pass is crossed data-interface store database into;
Material inventory administration module 106 receives raw materials inventory information by external communication interface, deposits in the Kuku according to starting material and transportation inventory real-time update raw materials inventory; Raw materials inventory safety inventory coefficient is set, and raw materials inventory and the raw materials inventory safety coefficient upgraded are stored in database by data-interface;
Finished goods inventory administration module 107 receives finished goods inventory information by external communication interface, according to finished product, Work in Process situation, and the real-time update finished goods inventory, and the finished goods inventory that upgrades is stored in database by data-interface;
Procurement demand prediction module 108, obtain finished goods inventory, raw materials inventory, raw materials inventory safety coefficient and production task by data-interface single, purchase and order list raw-material according to these Information generations, and the purchase and order single-pass is crossed data-interface store in database.
Claims (2)
1. steel procurement demand prediction unit comprises:
External communication interface is used for receiving parts inventory information, production schedule information, material inventory information and the finished goods inventory information that external system transmits, and by data-interface, these information is stored in database; Reception is from the request of access of external system, and returns to the purchase and order list;
Database is used for depositing components information, production schedule information, material inventory information, finished goods inventory information, procurement demand information of forecasting;
Data-interface is used for connecting and accessing database;
The part management module, obtain the parts inventory information of database by data-interface, set up structural relation between each assembly, parts and the starting material that reflection is assembled into final products and component structural and the quantitative relation table of the needed subordinate's component number of each assembly magnitude relation, and should show to store database into by data-interface;
The production planning management module is obtained production schedule information by data-interface, generates production task single, and the production task single-pass is crossed data-interface store database into;
The material inventory administration module receives raw materials inventory information by external communication interface, deposits in the Kuku according to starting material and transportation inventory real-time update raw materials inventory; Raw materials inventory safety inventory coefficient is set, and raw materials inventory and the raw materials inventory safety coefficient upgraded are stored in database by data-interface;
The finished goods inventory administration module receives finished goods inventory information by external communication interface, according to finished product, Work in Process situation, and the real-time update finished goods inventory, and the finished goods inventory that upgrades is stored in database by data-interface;
The procurement demand prediction module, obtain finished goods inventory, raw materials inventory, raw materials inventory safety coefficient and production task by data-interface single, purchase and order list raw-material according to these Information generations, and the purchase and order single-pass is crossed data-interface store in database.
2. the method for a steel procurement demand prediction, comprise the steps:
External communication interface receives parts inventory information, production schedule information, material inventory information and the finished goods inventory information that external system sends, and above-mentioned information is stored in database;
Parts inventory information in part management module reading database, generate component structural relation and quantitative relation table according to the structural relation between each assembly, parts and the starting material that are assembled into final products and the needed subordinate's component number of each assembly magnitude relation, and this table is stored in database;
The production schedule information that production schedule module reads generates production task single, and singly stores production task into database;
The material inventory administration module reads material inventory information, according to the situation of depositing in the Kuku with transportation inventory, the real-time update material inventory arranges the material inventory safety coefficient, and the material inventory safety coefficient of the material inventory after upgrading and setting stores in database;
The finished goods inventory information that the finished goods inventory administration module reads, according to finished product with in the situation of goods, the real-time update finished goods inventory, and the finished goods inventory after upgrading stores in database;
The procurement demand prediction module reads component structural relation and quantitative relation table, production task list, material inventory, finished goods inventory and material inventory safety coefficient, according to these Information generation purchase and order lists, and the purchase and order list is stored in database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100555960A CN103106547A (en) | 2013-02-21 | 2013-02-21 | Device and method for forecasting steel product procurement demands |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100555960A CN103106547A (en) | 2013-02-21 | 2013-02-21 | Device and method for forecasting steel product procurement demands |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103106547A true CN103106547A (en) | 2013-05-15 |
Family
ID=48314390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013100555960A Pending CN103106547A (en) | 2013-02-21 | 2013-02-21 | Device and method for forecasting steel product procurement demands |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103106547A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103500286A (en) * | 2013-10-14 | 2014-01-08 | 烟台宝井钢材加工有限公司 | Automobile rolled steel supply chain safety stock and rolled steel requirement comprehensive evaluating method |
| CN103903120A (en) * | 2014-03-26 | 2014-07-02 | 青岛宝井钢材加工配送有限公司 | Cargo handling method for Baosteel-Haier supply chain |
| CN107491918A (en) * | 2017-08-22 | 2017-12-19 | 太仓市智联信息科技有限公司 | A kind of managing and control system of low stock production |
| CN105046364B (en) * | 2015-07-27 | 2018-08-17 | 南京邮电大学 | A kind of multicycle inventory optimization management method based on supply chain |
| CN108446950A (en) * | 2018-02-11 | 2018-08-24 | 成都兴联宜科技有限公司 | A kind of concrete raw material budget purchasing system based on Fabrication Order |
| CN108830480A (en) * | 2018-06-12 | 2018-11-16 | 恩龙实业(嘉兴)有限公司 | A kind of ERP buying calculation method and its system |
| CN109559069A (en) * | 2018-09-21 | 2019-04-02 | 中建科技有限公司深圳分公司 | Production management method, apparatus and terminal device based on assembled architecture platform |
| CN110610337A (en) * | 2019-09-10 | 2019-12-24 | 珠海格力电器股份有限公司 | Method and equipment for realizing MRP function based on material double units |
| CN110659951A (en) * | 2018-06-29 | 2020-01-07 | 天津宝钢钢材配送有限公司 | Multi-steel mill intelligent purchasing method based on big data |
| CN112581050A (en) * | 2020-11-11 | 2021-03-30 | 广汽蔚来新能源汽车科技有限公司 | Purchasing demand information generation method and device, computer equipment and storage medium |
| CN113762891A (en) * | 2021-08-26 | 2021-12-07 | 大汉电子商务有限公司 | Steel storage management method and system based on region space |
| CN114372823A (en) * | 2022-01-05 | 2022-04-19 | 大兴安岭焦点科技有限公司 | Enterprise supply chain management method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833711A (en) * | 2010-05-21 | 2010-09-15 | 玉环县华龙阀门有限公司 | Method for planning enterprise resources |
| CN102467702A (en) * | 2010-11-05 | 2012-05-23 | 徐州中矿微星软件有限公司 | Inventory control method for extractive industries |
-
2013
- 2013-02-21 CN CN2013100555960A patent/CN103106547A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833711A (en) * | 2010-05-21 | 2010-09-15 | 玉环县华龙阀门有限公司 | Method for planning enterprise resources |
| CN102467702A (en) * | 2010-11-05 | 2012-05-23 | 徐州中矿微星软件有限公司 | Inventory control method for extractive industries |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103500286B (en) * | 2013-10-14 | 2016-07-27 | 烟台宝井钢材加工有限公司 | A kind of comprehensive evaluating method of automobile steel supply chain safety stock and steel demand |
| CN103500286A (en) * | 2013-10-14 | 2014-01-08 | 烟台宝井钢材加工有限公司 | Automobile rolled steel supply chain safety stock and rolled steel requirement comprehensive evaluating method |
| CN103903120A (en) * | 2014-03-26 | 2014-07-02 | 青岛宝井钢材加工配送有限公司 | Cargo handling method for Baosteel-Haier supply chain |
| CN105046364B (en) * | 2015-07-27 | 2018-08-17 | 南京邮电大学 | A kind of multicycle inventory optimization management method based on supply chain |
| CN107491918A (en) * | 2017-08-22 | 2017-12-19 | 太仓市智联信息科技有限公司 | A kind of managing and control system of low stock production |
| CN108446950A (en) * | 2018-02-11 | 2018-08-24 | 成都兴联宜科技有限公司 | A kind of concrete raw material budget purchasing system based on Fabrication Order |
| CN108830480A (en) * | 2018-06-12 | 2018-11-16 | 恩龙实业(嘉兴)有限公司 | A kind of ERP buying calculation method and its system |
| CN108830480B (en) * | 2018-06-12 | 2020-10-09 | 恩龙实业(嘉兴)有限公司 | ERP purchasing calculation method and system |
| CN110659951A (en) * | 2018-06-29 | 2020-01-07 | 天津宝钢钢材配送有限公司 | Multi-steel mill intelligent purchasing method based on big data |
| CN109559069B (en) * | 2018-09-21 | 2021-06-04 | 中建科技有限公司深圳分公司 | Production management method and device based on assembly type building platform and terminal equipment |
| CN109559069A (en) * | 2018-09-21 | 2019-04-02 | 中建科技有限公司深圳分公司 | Production management method, apparatus and terminal device based on assembled architecture platform |
| CN110610337A (en) * | 2019-09-10 | 2019-12-24 | 珠海格力电器股份有限公司 | Method and equipment for realizing MRP function based on material double units |
| CN112581050A (en) * | 2020-11-11 | 2021-03-30 | 广汽蔚来新能源汽车科技有限公司 | Purchasing demand information generation method and device, computer equipment and storage medium |
| CN112581050B (en) * | 2020-11-11 | 2023-05-09 | 合创汽车科技有限公司 | Purchasing demand information generation method, purchasing demand information generation device, computer equipment and storage medium |
| CN113762891A (en) * | 2021-08-26 | 2021-12-07 | 大汉电子商务有限公司 | Steel storage management method and system based on region space |
| CN114372823A (en) * | 2022-01-05 | 2022-04-19 | 大兴安岭焦点科技有限公司 | Enterprise supply chain management method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103106547A (en) | Device and method for forecasting steel product procurement demands | |
| Kempf | Control-oriented approaches to supply chain management in semiconductor manufacturing | |
| CN101833711A (en) | Method for planning enterprise resources | |
| KR101550740B1 (en) | Optimized production capacity management system in digital factory using real-time factory situation | |
| CN113506081A (en) | Production plan management system and production scheduling method thereof | |
| CN105447624A (en) | Typical configuration model and system for auditing material requirement plan of power project | |
| Jung | An available-to-promise model considering customer priority and variance of penalty costs | |
| JP2011096141A (en) | Method of preparing production schedule of two or more industrial plants | |
| CN102117434A (en) | Advanced planning and scheduling system | |
| WO2023202326A1 (en) | Data processing method and related apparatus | |
| CN110189040A (en) | A kind of wisdom production scheduled production algorithm | |
| CN104881758A (en) | ERP system capable of realizing integrated supply chain cooperative production and operation method thereof | |
| Shahmoradi-Moghadam et al. | Joint optimization of production and routing master planning in mobile supply chains | |
| CN103176407A (en) | Production scheduling method based on production process decoupling point positioning | |
| Villa et al. | SME Innovation and Development in the Context of Industry 4.0 | |
| CN101510277A (en) | Method for rolling computation of material requirement in production management process | |
| Vieira Takita et al. | Inbound logistics: a case study. | |
| Talibi et al. | The relevance study of adaptive kanban in a multicriteria constraints context using data-driven simulation method | |
| Behin et al. | Optimization of supply chain planning with considering defective rates of products in each echelon | |
| WO2023159344A1 (en) | Production scheduling method for products, electronic device, and storage medium | |
| JP2010055258A (en) | Method for supporting improvement in supply chain efficiency | |
| Mula et al. | A conceptual model for integrating transport planning: MRP IV | |
| Rambabu et al. | Gap analysis and optimization of process involved in product design and development by integrating enterprise resource planning & product lifecycle management | |
| Bhat | Engineer to order approaches in sap | |
| CN105205597A (en) | Project process control method based on business activities |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20130515 |