Chapter
Apr 26, 2012
Predictive Control of Inventory in Supply Chain under Stochastic Customer Demand
Publication: International Conference on Transportation Engineering 2007
Abstract
An inventory optimal model is built under stochastic customer demand. Predictive model is used to decrease disturbed customer demand. BP neural network is adopted to deal with non-linear problem in the supply chain system. The simulation between each node of enterprise and inventory position is showed. It may well predict dynamic and non-linear inventory level at next time.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Client relationships
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Freight transportation
- Infrastructure
- Inventories
- Logistics
- Mathematics
- Neural networks
- Nonlinear analysis
- Practice and Profession
- Probability
- Stochastic processes
- Structural analysis
- Structural engineering
- Supply chain management
- Transportation engineering
Authors
Affiliations
Economic and Management College, Dalian Maritime University, Liaoning, P.R China, 116026. E-mail: [email protected]
Department of Computer Science and Engineering, Dalian University of Technology, Liaoning, P.R China, 116024. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.