期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 272, 期 3, 页码 879-904出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2018.07.002
关键词
Routing; Two-echelon system; Electric vehicle city logistics; Column generation; Adaptive large neighborhood search
资金
- National Natural Science Foundation of China [71672065, 71320107001]
- Fundamental Research Funds for the Central Universities
- Wuhan Yellow Crane Talents Project
In this paper, we present a two-echelon capacitated electric vehicle routing problem with battery swapping stations (2E-EVRP-BSS), which aims to determine the delivery strategy under battery driving range limitations for city logistics. The electric vehicles operating in the different echelons have different load capacities, battery driving ranges, power consumption rates, and battery swapping costs. We propose an integer programming formulation and a hybrid algorithm that combines a column generation and an adaptive large neighborhood search (CG-ALNS) to solve the problem. We conducted extensive computational experiments, demonstrate the applicability of the proposed model, and show the efficiency of the CG-ALNS algorithm. In addition, we explore the interplay between battery driving range and the effectiveness of vehicle emission reduction through sensitivity analysis. (C) 2018 Elsevier B.V. All rights reserved.
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