讲座:The Impact of Prolonged Service Time on Flexibility Configurations 发布时间:2023-08-29
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题 目:The Impact of Prolonged Service Time on Flexibility Configurations
嘉 宾:谢金贵,副教授,慕尼黑工业大学
主持人:罗俊 教授 上海交通大学安泰经济与管理学院
时 间:2023年9月5日(周二)15:00-16:30pm
地 点:安泰经济与管理学院B207
内容简介:
Resource pooling is often introduced in service systems to cope with the variability in customer demand, given a fixed service capacity for each service provider. The initial motivation for a more flexible system is to use the resources efficiently, that is, assign customers whose dedicated resources are fully occupied to available non-dedicated resources (referred to as off-service placement). In such a setting, the service system manager expects more customers to be served during a fixed period. However, recent empirical observations find that the service time at the non-dedicated service provider is significantly prolonged compared with that at the dedicated service provider. In this study, we construct a two-server stochastic model to assess the impact of prolonged service time and other parameters, such as system workload and asymmetry level, on flexibility configurations. We derive conditions that describe the optimal flexibility configuration within the space of system parameters. Our results indicate that a partially flexible system might outperform a fully flexible one, especially in an asymmetrical setup with prolonged service times. These insights from the two-server model provide more efficient flexibility design in complex multi-class, multi-server service systems.
演讲人简介:
Jingui Xie is an associate professor of Business Analytics at the School of Management, Technical University of Munich. His academic research aims to efficiently incorporate the predictive information into the decision making though a joint estimation and optimization framework. In particular, he is interested in using big data and analytics to improve healthcare worldwide. His work has appeared in leading journals such as Operations Research, Management Science, Manufacturing & Service Operations Management, and Production and Operations Management, et al.
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