提出了动态物流配送车辆调度优化问题——配送车在一度量空间中进行服务,度量空间中的任何一节点可能在任何时间提出服务请求,要求配送车将该点处的货物运送到另一点,每一个服务请求都有一个服务期限,若在规定的时间内某一服务请求不能被满足则将被取消,在考虑装/卸货所用时间的情况下,决策者如何以局内方式确定调度策略,使配送车完成的服务请求数最多.针对该不确定性条件下的管理决策问题,给出了两种局内管理策略,并利用局内问题及竞争分析理论,给出了不同载重量下(Q=1和Q=∞)的两种策略的竞争比.
In this paper, we propose the problem of vehicle scheduling in logistic distribution, which can be outlined as follows: transportation requests with deadlines between points in a metric arrive on-line, specifying the objects to be transported and the corresponding sources and destinations. These requests are to be handled by a server which picks up and drops objects at their sources and destinations. The goal is to plan the motion of vehicle in an on-line way so that the maximum number of requests is met by their deadlines, in which the time for loading and/ or tmloading the objects is considered. Two on-line strategies are presented for the indeterminate management of decision problem. And based on the theory of on-line problem and competitive analysis, we obtain the competitive ratios of the strategies in two cases, when the vehicle has infinite capacity and finite capacity.