Fuzzy optimal vehicle schedule in terms of multi-indexes of logistics services

Fuzzy optimal vehicle schedule in terms of multi-indexes of logistics services

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Article ID: iaor2007713
Country: China
Volume: 25
Issue: 3
Start Page Number: 277
End Page Number: 280
Publication Date: Jun 2005
Journal: Journal of Xi'an Institute of Technology
Authors: ,
Keywords: analytic hierarchy process, fuzzy sets
Abstract:

The vehicle schedule problem (VSP) is to reduce the logistics cost. Nowadays common models are based on the definite factors, such as transportation quantities, and aim at the lowest cost. Depending on the uncertain factors (logistics services), this paper points out three main estimate indexes related to VSP, and tries to get the ideal result of VSP in using the methods of fuzzy theory and AHP by considering the multi-indexes of logistics services, so as to offer the reference to those freight or logistics companies which pay much attention to the customers.

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