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Ant Colony Optimization for Relocation Problem in Carsharing
Ganjar Alfian(간자르 알피앙),Umar Farooq(우마르 파르크),Jongtae Rhee(이종태) 대한산업공학회 2013 대한산업공학회 춘계학술대회논문집 Vol.2013 No.5
An improved service of carsharing, one-way service enables customers use the vehicles from one station and return to other station. The common issue in one-way carsharing service is that the vehicle stock of each station become imbalance, thus will lead to the less customer satisfaction and less utilization of vehicles. Consequently, the relocation is used by the system to move the appropriate vehicle to high demand station in order to elevate customer satisfaction. This paper will demonstrate the Ant Colony Optimization for relocation in one-way carsharing system based on simulation model. Computational simulation result on commercially operational data of carsharing in South Korea is involved to solve relocation problem in one-way system. The result we have obtained in this study provide a clear insight into the impact of Ant Colony Optimization for relocation problem on utilization of system and high customer satisfaction.
Ant Colony Optimization for Relocation Problem in Carsharing
Ganjar Alfian(간자르 알피앙),Umar Farooq(우마르 파르크),Jongtae Rhee(이종태) 한국경영과학회 2013 한국경영과학회 학술대회논문집 Vol.2013 No.5
An improved service of carsharing, one-way service enables customers use the vehicles from one station and return to other station. The common issue in one-way carsharing service is that the vehicle stock of each station become imbalance, thus will lead to the less customer satisfaction and less utilization of vehicles. Consequently, the relocation is used by the system to move the appropriate vehicle to high demand station in order to elevate customer satisfaction. This paper will demonstrate the Ant Colony Optimization for relocation in one-way carsharing system based on simulation model. Computational simulation result on commercially operational data of carsharing in South Korea is involved to solve relocation problem in one-way system. The result we have obtained in this study provide a clear insight into the impact of Ant Colony Optimization for relocation problem on utilization of system and high customer satisfaction.