Chapter
Apr 26, 2012
Optimal Model of Multi-Channel Logistics Network Based on (Q, R) Inventory Tactics
Authors: Huaizhen Ye [email protected], Shuang Han [email protected] and Faculty of Construction, Guangdong University of Technology, Guangzhou China, and Jingqiong Wu [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Inventory cost is correlative with the structure of logistics network closely, it should be considered in the optimization of logistics network to avoid suboptimal decision-making. Combined with the (Q, R) inventory tactics, the optimization of a multi-channel logistics network that plants, regional distribution centers and district distribution centers could serve clients directly is discussed under the assumption that clients' demands are stochastic and subject to normal distribution. An mathematic model is put forward, and its validity is proved by an example.
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Published In
International Conference on Transportation Engineering 2009
Pages: 2309 - 2314
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Benefit cost ratios
- Buildings
- Business management
- Client relationships
- Engineering fundamentals
- Facilities (by type)
- Financial management
- Freight transportation
- Industrial facilities
- Infrastructure
- Inventories
- Logistics
- Models (by type)
- Optimization models
- Practice and Profession
- Structural engineering
- Structural models
- Structures (by type)
- Transportation engineering
- Wood structures
Authors
Affiliations
College of Logistics, Southwest Jiaotong University, Chengdu China;. E-mail: [email protected]
Shuang Han [email protected] and Faculty of Construction, Guangdong University of Technology, Guangzhou China
College of Logistics, Southwest Jiaotong University, Chengdu China;. E-mail: [email protected] and Faculty of Construction, Guangdong University of Technology, Guangzhou China
College of Logistics, Southwest Jiaotong University, Chengdu China;. E-mail: [email protected]
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