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Incentives for Shared Services: Multiserver Queueing Systems with Priorities

Author

Listed:
  • Hanlin Liu

    (Division of Information Systems and Management Engineering, College of Business, Southern University of Science and Technology, Shenzhen 518055, China)

  • Yimin Yu

    (Department of Management Sciences, College of Business, City University of Hong Kong, Kowloon, Hong Kong SAR, China)

Abstract

Problem definition : We study shared service whereby multiple independent service providers collaborate by pooling their resources into a shared service center (SSC). The SSC deploys an optimal priority scheduling policy for their customers collectively by accounting for their individual waiting costs and service-level requirements. We model the SSC as a multiclass M / M / c queueing system subject to service-level constraints. Academic/practical relevance : Shared services are increasingly popular among firms for saving operational costs and improving service quality. One key issue in fostering collaboration is the allocation of costs among different firms. Methodology : To incentivize collaboration, we investigate cost allocation rules for the SSC by applying concepts from cooperative game theory. Results : To empower our analysis, we show that a cooperative game with polymatroid optimization can be analyzed via simple auxiliary games. By exploiting the polymatroidal structures of the multiclass queueing systems, we show when the games possess a core allocation. We explore the extent to which our results remain valid for some general cases. Managerial implications : We provide operational insights and guidelines on how to allocate costs for the SSC under the multiserver queueing context with priorities.

Suggested Citation

  • Hanlin Liu & Yimin Yu, 2022. "Incentives for Shared Services: Multiserver Queueing Systems with Priorities," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1751-1759, May.
  • Handle: RePEc:inm:ormsom:v:24:y:2022:i:3:p:1751-1759
    DOI: 10.1287/msom.2021.1034
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    References listed on IDEAS

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    1. Yinlian Zeng & Lianmin Zhang & Xiaoqiang Cai & Jun Li, 2018. "Cost Sharing for Capacity Transfer in Cooperating Queueing Systems," Production and Operations Management, Production and Operations Management Society, vol. 27(4), pages 644-662, April.
    2. Eylem Tekin & Wallace Hopp & Mark Van Oyen, 2009. "Pooling strategies for call center agent cross-training," IISE Transactions, Taylor & Francis Journals, vol. 41(6), pages 546-561.
    3. Shoshana Anily & Moshe Haviv, 2017. "Line Balancing in Parallel M/M/1 Lines and Loss Systems as Cooperative Games," Production and Operations Management, Production and Operations Management Society, vol. 26(8), pages 1568-1584, August.
    4. SCHMEIDLER, David, 1969. "The nucleolus of a characteristic function game," LIDAM Reprints CORE 44, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Simai He & Jiawei Zhang & Shuzhong Zhang, 2012. "Polymatroid Optimization, Submodularity, and Joint Replenishment Games," Operations Research, INFORMS, vol. 60(1), pages 128-137, February.
    6. Mor Armony & Guillaume Roels & Hummy Song, 2021. "Pooling Queues with Strategic Servers: The Effects of Customer Ownership," Operations Research, INFORMS, vol. 69(1), pages 13-29, January.
    7. A. Federgruen & H. Groenevelt, 1988. "M/G/c Queueing Systems with Multiple Customer Classes: Characterization and Control of Achievable Performance Under Nonpreemptive Priority Rules," Management Science, INFORMS, vol. 34(9), pages 1121-1138, September.
    8. Garcia-Sanz, M.D. & Fernandez, F.R. & Fiestras-Janeiro, M.G. & Garcia-Jurado, I. & Puerto, J., 2008. "Cooperation in Markovian queueing models," European Journal of Operational Research, Elsevier, vol. 188(2), pages 485-495, July.
    9. Shaler Stidham, 1970. "On the Optimality of Single-Server Queuing Systems," Operations Research, INFORMS, vol. 18(4), pages 708-732, August.
    10. J. George Shanthikumar & David D. Yao, 1992. "Multiclass Queueing Systems: Polymatroidal Structure and Optimal Scheduling Control," Operations Research, INFORMS, vol. 40(3-supplem), pages 293-299, June.
    11. A. Federgruen & H. Groenevelt, 1988. "Characterization and Optimization of Achievable Performance in General Queueing Systems," Operations Research, INFORMS, vol. 36(5), pages 733-741, October.
    12. Yimin Yu & Saif Benjaafar & Yigal Gerchak, 2015. "Capacity Sharing and Cost Allocation among Independent Firms with Congestion," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1285-1310, August.
    13. Frank Karsten & Marco Slikker & Geert-Jan van Houtum, 2015. "Resource Pooling and Cost Allocation Among Independent Service Providers," Operations Research, INFORMS, vol. 63(2), pages 476-488, April.
    14. Shoshana Anily & Moshe Haviv, 2010. "Cooperation in Service Systems," Operations Research, INFORMS, vol. 58(3), pages 660-673, June.
    15. Satoru Fujishige, 1980. "Lexicographically Optimal Base of a Polymatroid with Respect to a Weight Vector," Mathematics of Operations Research, INFORMS, vol. 5(2), pages 186-196, May.
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