Chapter
Apr 26, 2012
Application of Fuzzy Forecast of Inventory Management in Auto Company
Authors: Mingmao Hu [email protected] and Jingkui RuanAuthor Affiliations
Publication: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Abstract
The characteristics of the production and spare parts inventory in an auto company were analyzed in this paper; many parameters were fuzzy in the forecast and can be considered as fuzzy variables. The fuzzy mathematics model of inventory management with fuzzy parameters was explained after introducing the fuzzy set theory, the ambiguity solution and inventory forecast were disposed with fuzzy graded mean integration representation method. Finally, the fuzzy forecast method was tested using the historical inventory data of one auto company, it shows that the method play proper role in the inventory management.
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© 2010 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Forecasting
- Freight transportation
- Fuzzy logic
- Information management
- Infrastructure
- Inventories
- Logistics
- Management methods
- Mathematical models
- Mathematics
- Models (by type)
- Parameters (statistics)
- Practice and Profession
- Statistics
- Transportation engineering
Authors
Affiliations
Dep. of Mechanical Engineering, Hubei Automotive Industries Institute, Shiyan, Hubei, 442002, China.E-mail: [email protected]
Jingkui Ruan
Dep. of Mechanical Engineering, Hubei Automotive Industries Institute, Shiyan, Hubei, 442002, China
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