配送设施中具有拣货任务的劳动力调度

Arpan Rijal, Marco Bijvank, A. Goel, R. Koster
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引用次数: 10

摘要

安排订单选取器的可用性对于使用人工订单选取器的配送设施的有效操作至关重要。当拣货活动只能在特定的时间窗口内进行时,需要共同解决拣货人的班次调度问题和拣货人的计划问题,即将单个订单分配给拣货人并进行排序。这就需要决定要安排的拣单员的数量、轮班开始和结束时间、休息时间,以及拣单活动的分配和时间。我们称此为拣单调度问题,并给出两种表述。提出了分支定价算法和元启发式算法来解决这一问题。数值实验表明,元启发式算法以缩短80%的计算时间找到接近最优解。在荷兰最大的连锁超市进行的一个案例研究显示了该解决方案方法在实际业务应用程序中的适用性。特别是,对不同的轮班结构进行了分析,得出的结论是,当在休息时间调度中实施15分钟的灵活性时,零售商可以将受雇工人的最低补偿时间从6小时增加到7或8小时,同时降低平均劳动力成本,节省高达5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Workforce Scheduling with Order-Picking Assignments in Distribution Facilities
Scheduling the availability of order pickers is crucial for effective operations in a distribution facility with manual order pickers. When order-picking activities can only be performed in specific time windows, it is essential to jointly solve the order picker shift scheduling problem and the order picker planning problem of assigning and sequencing individual orders to order pickers. This requires decisions regarding the number of order pickers to schedule, shift start and end times, break times, as well as the assignment and timing of order-picking activities. We call this the order picker scheduling problem and present two formulations. A branch-and-price algorithm and a metaheuristic are developed to solve the problem. Numerical experiments illustrate that the metaheuristic finds near-optimal solutions at 80% shorter computation times. A case study at the largest supermarket chain in The Netherlands shows the applicability of the solution approach in a real-life business application. In particular, different shift structures are analyzed, and it is concluded that the retailer can increase the minimum compensated duration for employed workers from six hours to seven or eight hours while reducing the average labor cost with up to 5% savings when a 15-minute flexibility is implemented in the scheduling of break times.
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