A decision support system for vehicle relocation operations in carsharing systems |
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Authors: | Alvina GH Kek Ruey Long Cheu Qiang Meng Chau Ha Fung |
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Institution: | 1. Asia Pacific Product Scheduling, ExxonMobil Asia Pacific Pte Ltd., 18 Pioneer Road, Singapore 628498, Singapore;2. Department of Civil Engineering, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968-0516, USA;3. Department of Civil Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore |
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Abstract: | This paper presents a novel three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the manpower and parameters recommended by the OTS system lead to a reduction in staff cost of 50%, a reduction in zero-vehicle-time ranging between 4.6% and 13.0%, a maintenance of the already low full-port-time and a reduction in number of relocations ranging between 37.1% and 41.1%. |
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