Optimal control of supervisors balancing individual and joint responsibilities

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Zhuoting Yu, S. Andradóttir, H. Ayhan
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引用次数: 1

Abstract

We consider a two-stage service system with two types of servers, namely subordinates who perform the first-stage service and supervisors who have their own responsibilities in addition to collaborating with the subordinates on the second-stage service. Rewards are earned when first- or second-stage service is completed and when supervisors finish one of their own responsibilities. Costs are incurred when impatient customers abandon without completing the second-stage service. Our problem is to determine how the supervisors should distribute their time between their joint work with the subordinates and their own responsibilities. Under the assumptions that service times at both stages are exponentially distributed and that the customers waiting for second-stage service abandon after an exponential amount of time, we prove that one of two policies will maximize the long-run average profit. Namely, it is optimal for supervisors to start collaborating with subordinates either when subordinates can no longer serve new customers or as soon as there is a customer ready for second-stage service. Furthermore, we show that the optimality condition is a simple threshold on the system parameters. We conclude by proving that pooling supervisors (and their associated subordinates) improves system performance, but with limited returns as more supervisors are pooled.
管理者平衡个人和共同责任的最优控制
我们考虑一个两阶段服务系统,其中有两种类型的服务器,即执行第一阶段服务的下属和执行第二阶段服务的主管,他们除了与下属合作外,还有自己的职责。当第一或第二阶段的服务完成时,当主管完成自己的职责之一时,就可以获得奖励。当不耐烦的顾客没有完成第二阶段的服务就放弃时,就产生了成本。我们的问题是确定主管应该如何在他们与下属的共同工作和他们自己的责任之间分配时间。假设两阶段的服务时间呈指数分布,且客户在指数时间后放弃第二阶段的服务,我们证明了两种策略中的一种将使长期平均利润最大化。也就是说,当下属不能再为新客户提供服务时,或者当有客户准备进行第二阶段服务时,主管与下属开始合作是最优的。进一步,我们证明了最优性条件是系统参数的一个简单阈值。我们的结论是,通过证明汇集管理者(及其相关的下属)提高了系统性能,但随着更多的管理者汇集,回报有限。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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