| Summary: | 碩士 === 國立中央大學 === 企業管理學系 === 103 === ABSTRACT
In recent years, the air pollution, noise problem and oil crisis have been the important topics which people really concern. In order to make the environment friendly, governments and partial logistic industry have committed to strive in environment protection with changing some of their petroleum-based vehicles into electric-base vehicles. In this study, considering the Green Vehicle Routine Problem (GVRP) presented by Erdoğan and Miller (2012) as a prototype, with a new algorithm constructed we develop a method for electric vehicle distribution that tries to solve a shortest path problem in city logistic. In the reality, lack of charging station is a main problem for the electric vehicle usage. This study set the charging station in logistic center which confines that the vehicles can be charged only in logistic center while distributing. So the vehicle fleets must complete the distribution for their customer nodes within a time limit. In the distribution tours the vehicle loading also is a key parameter included in the simulation. So, this study in the planning of the city distribution process not only seeks for the shortest distribution path, but also considers the factors of the loading capacity and the time limit. This developed method allows every vehicle getting second distribution tour that could effectively minimize the vehicle idle time. Finally, the paper takes the Family Mart in Nagoya, Japan as a study case to demonstrate the result of the present algorithm.
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