论文标题
一种随机整数编程方法，可预备员工安排的偏好
A stochastic integer programming approach to reserve staff scheduling with preferences
论文作者
论文摘要
如今，在有效的时间表中达到高水平的员工满意度是公司面临的一项重要且艰巨的任务。我们通过内源性不确定性考虑员工满意度，根据他们的首选和收到的时间表的结合来考虑员工的满意度，从而解决了人事调度问题的新变体。我们在储备人员安排的背景下解决了这个问题，这是运输行业的一个未研究的操作问题。为了应对两个不确定性来源（常规员工和预备役员工缺席）带来的挑战，我们将这个问题作为一个两阶段的随机整数计划，并带有混合企业。第一阶段的决策包括寻找储备金雇员的休息日。在未知的常规员工缺席后，第二阶段的决定是安排预备人员的职责。我们将储备员工的天数偏好纳入模型中，以研究员工满意度如何影响他们自身的缺勤率。
Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant of the personnel scheduling problem under unknown demand by considering employee satisfaction via endogenous uncertainty depending on the combination of their preferred and received schedules. We address this problem in the context of reserve staff scheduling, an unstudied operational problem from the transit industry. To handle the challenges brought by the two uncertainty sources, regular employee and reserve employee absences, we formulate this problem as a two-stage stochastic integer program with mixed-integer recourse. The first-stage decisions consist in finding the days off of the reserve employees. After the unknown regular employee absences are revealed, the second-stage decisions are to schedule the reserve staff duties. We incorporate reserve employees' days-off preferences into the model to examine how employee satisfaction may affect their own absence rates.
