摘要
车辆不平衡是单向汽车共享系统的固有问题。提出了混合整数线性规划(MILP),解决客户的时间灵活性问题,以确定最优的车队规模、员工数量以及“请求-车辆-员工”匹配,目标是使成本最小化,开发了一种定制的分解算法,为说明时间灵活性,进行了计算试验。结果表明总成本降低了15.5%,请求接受率提高了7%。
The imbalance of vehicles is inherent in one-way car-sharing systems.The work proposed a mixed integer linear programming(MILP)addressing customers’time flexibility to determine the optimal vehicle fleet size,staff number,and request-vehicle-staff matching.The goal was to minimize the cost.A customized decomposition algorithm was developed.Some computational experiments were conducted to illustrate time flexibility.It reduced the total cost by 15.5%and increased the request acceptance rate by 7%.
作者
张艺
蒋洋
ZHANG Yi;JIANG Yang(School of Management,Shenyang University of Technology,Shenyang 110870,China)
出处
《技术与市场》
2024年第3期9-14,共6页
Technology and Market
基金
国家自然科学基金项目(71801160)
辽宁省自然科学基金计划项目(2022-MS-266)
辽宁省教育厅面上项目(LJKR0075)。
关键词
共享汽车
车辆调度
员工重平衡
时间柔性
car-sharing system
vehicle relocation
staff rebalancing
time flexibility
