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Resource Allocation in Multisite Service Systems with Intersite Customer Flows

Author

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  • Xiuli Chao

    (Department of Industrial Engineering and Interdisciplinary OR Programs, North Carolina State University, 325 Riddick, Raleigh, North Carolina 27695)

  • Liming Liu

    (Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China)

  • Shaohui Zheng

    (Department of Information and Systems Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China)

Abstract

Motivated by a project in health-care management, we study the resource allocation problem in multisite service systems with intersite customer flows. We aim at providing insights to and guidelines for resource allocation in these service systems when some service criterion, such as average waiting time, loss rate, or blocking probability, is a major concern. We develop analytical optimization models and from them we obtain the explicit optimal allocation policy. Our results demonstrate that the optimal resource allocation solution exhibits a structure of "one large and many small."

Suggested Citation

  • Xiuli Chao & Liming Liu & Shaohui Zheng, 2003. "Resource Allocation in Multisite Service Systems with Intersite Customer Flows," Management Science, INFORMS, vol. 49(12), pages 1739-1752, December.
  • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:12:p:1739-1752
    DOI: 10.1287/mnsc.49.12.1739.25110
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