Chapter
Apr 26, 2012
Study of the VRP Based on the Fuzzy Demand
Authors: Linbo Li and Dongyuan YangAuthor Affiliations
Publication: Logistics: The Emerging Frontiers of Transportation and Development in China
Abstract
In the last few years, many researchers have studied the vehicle routing problem (VRP) in logistic studies, however, the majority of those analyses have gone on within the frame of a static restriction condition. Now there appears some literature studying the dynamic problem of the VRP, but only limited to the stochastic process. Despite the fact that the stochastic process is closed to the dynamic fact, in fact, to a great extent, the decision-making of uncertainly process is based on the fuzzy judgment. Thus, the paper uses the fuzzy theory to investigate the VRP with uncertain demand, and establish judgment principles which decide whether the vehicle continues to serve the next node or not after completing the first m nodes. Finally, an example is presented.
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© 2009 American Society of Civil Engineering.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Bibliographies
- Business management
- Computer programming
- Computing in civil engineering
- Decision making
- Engineering fundamentals
- Frames
- Freight transportation
- Fuzzy logic
- Highway transportation
- Information management
- Infrastructure
- Logistics
- Mathematics
- Practice and Profession
- Probability
- Routing (transportation)
- Stochastic processes
- Structural engineering
- Structural members
- Structural systems
- Traffic engineering
- Transportation engineering
- Vehicles
Authors
Affiliations
Linbo Li
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804. E-mail: [email protected]
Dongyuan Yang
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804. E-mail: [email protected]
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