The vehicle relocation problem with operation teams in one-way carsharing systems.

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Bibliographic Details
Title: The vehicle relocation problem with operation teams in one-way carsharing systems.
Authors: Lu, Yuwei1,2 (AUTHOR), Wang, Kangzhou3 (AUTHOR), Yuan, Biao4,5 (AUTHOR) biaoyuan_ie@163.com
Source: International Journal of Production Research. Jun2022, Vol. 60 Issue 12, p3829-3843. 15p. 1 Diagram, 8 Charts, 2 Graphs, 1 Map.
Subjects: Teams in the workplace, Mathematical programming, Car sharing, Search algorithms, Vehicles, Problem solving
Geographic Terms: Shanghai (China)
Abstract: The imbalance of available vehicles at different stations is an outstanding challenge in one-way carsharing systems. Dedicated to this issue, the operation teams in one company in Shanghai, China, each of which contains several workers, take operation vehicles to rebalance sharing vehicles among stations. A pertinent optimization problem, called the vehicle relocation problem with operation teams, is encountered in practice to find the relocation pairs of stations and the visiting routes of operation vehicles. In this paper, a mathematical programming model for minimizing the sum of relocation distance of sharing vehicles and travel distance of operation vehicles is constructed. An adaptive large neighbourhood search algorithm with several problem-specific algorithmic components is developed to efficiently solve the problem. Computational results validate the competitive performance of the proposed approach by comparing it with the commercial optimization software and a sequential approach. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:The imbalance of available vehicles at different stations is an outstanding challenge in one-way carsharing systems. Dedicated to this issue, the operation teams in one company in Shanghai, China, each of which contains several workers, take operation vehicles to rebalance sharing vehicles among stations. A pertinent optimization problem, called the vehicle relocation problem with operation teams, is encountered in practice to find the relocation pairs of stations and the visiting routes of operation vehicles. In this paper, a mathematical programming model for minimizing the sum of relocation distance of sharing vehicles and travel distance of operation vehicles is constructed. An adaptive large neighbourhood search algorithm with several problem-specific algorithmic components is developed to efficiently solve the problem. Computational results validate the competitive performance of the proposed approach by comparing it with the commercial optimization software and a sequential approach. [ABSTRACT FROM AUTHOR]
ISSN:00207543
DOI:10.1080/00207543.2021.1933238