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Managing Customer Arrivals in Service Systems with Multiple Identical Servers

机译:在具有多个相同服务器的服务系统中管理客户到达

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We analyze a discrete multiserver model for scheduling customer arrivals under no-shows. The challenge is to assign customers to time slots so that the service system utilizes its resources efficiently and customers experience short waiting times. We provide theoretical and heuristic guidelines for an effective practice of appointment overbooking to offset no-shows. Recursive and explicit expressions for the performance measures of interest are derived based on the random evolution of the system's workload in transient state. We prove discrete convexity properties of the optimization problem that restrict our search to a contained solution space and guarantee that a local search algorithm terminates with a globally optimal schedule. Extensive computational experiments reveal additional properties and patterns that appear in the optimal schedule and motivate the development of two very well-performing and computationally inexpensive heuristic solutions.
机译:我们分析了一个离散的多服务器模型,用于调度未出现的客户到达时间。挑战在于将客户分配给时隙,以便服务系统有效地利用其资源,并使客户体验到较短的等待时间。我们提供了理论和启发式指导,以期有效地进行约会超量预订,以弥补未入住的情况。基于系统工作负载在瞬态下的随机演化,得出了感兴趣的性能指标的递归和显式表达式。我们证明了优化问题的离散凸性质,该性质将我们的搜索限制到一个包含的解决方案空间,并保证局部搜索算法以全局最优计划终止。大量的计算实验揭示了在最佳计划中出现的其他属性和模式,并刺激了两种性能非常好且计算上便宜的启发式解决方案的开发。

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