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- W635585988 abstract "This paper presents a novel three-phase Optimization-Trend-Simulation (OTS) decision support tool for carsharing operators with flexible return time and stations. The tool assists the operators to find a set of near-optimal manpower and relocation parameters for their vehicle relocation systems. Phase one of the OTS is a mixed integer linear programming model, which minimizes the total generalized cost of vehicle movements, staff time, penalty of unfulfilled customer demand and returns. This model takes input from historical trip patterns, fleet size, station capacity and etc to solve the optimal vehicle relocation problem without the specification of any relocation threshold at any station. Phase two of the OTS tool is a trend filter which takes the output from the optimization model to heuristically deduce the manpower needs, staff shift hour, relocation logic and vehicle inventory thresholds values at each station that will trigger a relocation move. The last phase of the OTS tool employs a time-stepping simulation model, using a set of historical customer usage data, combined with the operating parameters inferred from the trend filter, to evaluate the Level of Service (LOS) provided by the carsharing operator to its customers. Two LOS indicators, namely Full-Port Time (FPT) and Zero-Vehicle Time (ZVT) are used. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the parameters recommended by the OTS tool leads to a reduction in staff cost of 50%, reduction in ZVT ranging between 4.6% and 13.0%, a maintenance of the already low FPT and a reduction in Number of Relocations (NR) ranging between 37.1% and 41.1%." @default.
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- W635585988 date "2007-01-01" @default.
- W635585988 modified "2023-09-24" @default.
- W635585988 title "A Decision Support Tool for Vehicle Relocation Operations in Carsharing Systems" @default.
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