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The impact of line-sitting on a two-server queueing system

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  • Zhao, Chen
  • Wang, Zhongbin

Abstract

In the presence of multiple lines, customers can often occupy the lines simultaneously with the help of someone else, so as to reduce their wait times. To understand the impact of such line-sitting behavior on the service system with multiple lines, we establish a queueing game-theoretic model to capture the interactions among customers, line-sitting firm and service provider. In particular, we consider a congested-prone service system with two dedicated queues, where arriving customers can join the two queues simultaneously by hiring a line-sitter to wait in one of the line on behalf of them, enabling them to receive service in any one of the queues. Our main results are as follows. First, contrary to our conventional wisdom that line-sitting firm could be more profitable when the system is more congested, we find instead that a queue with an intermediate demand volume can be most susceptible to line-sitting, whereas queues with either a very small or a very large demand volume may not be financially attractive to line-sitters. Second, our result discloses that the provision of line-sitting service in multiple lines can efficiently increase the system throughput. In the short run, both revenue of service provider and the customer surplus can be improved with the provision of line-sitting, which leads to a win-win situation. However, in the long run, line-sitting will stimulate a higher service fee charged by the service provider, reversing its short-run beneficial effect on customers, which results in a lower customer surplus. To restore the efficiency of line-sitting, we propose a centralized regulation policy from the perspective of social planner to maximize the social welfare without detriment to the customer population.

Suggested Citation

  • Zhao, Chen & Wang, Zhongbin, 2023. "The impact of line-sitting on a two-server queueing system," European Journal of Operational Research, Elsevier, vol. 308(2), pages 782-800.
  • Handle: RePEc:eee:ejores:v:308:y:2023:i:2:p:782-800
    DOI: 10.1016/j.ejor.2022.12.016
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    References listed on IDEAS

    as
    1. Wenhui Zhou & Dongmei Wang & Weixiang Huang & Pengfei Guo, 2021. "To Pool or Not to Pool? The Effect of Loss Aversion on Queue Configurations," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4258-4272, November.
    2. Kristen Gardner & Samuel Zbarsky & Sherwin Doroudi & Mor Harchol-Balter & Esa Hyytiä & Alan Scheller-Wolf, 2016. "Queueing with redundant requests: exact analysis," Queueing Systems: Theory and Applications, Springer, vol. 83(3), pages 227-259, August.
    3. Antonis Economou & Spyridoula Kanta, 2011. "Equilibrium customer strategies and social–profit maximization in the single‐server constant retrial queue," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(2), pages 107-122, March.
    4. Ghosh, Souvik & Hassin, Refael, 2021. "Inefficiency in stochastic queueing systems with strategic customers," European Journal of Operational Research, Elsevier, vol. 295(1), pages 1-11.
    5. Philipp Afèche & Haim Mendelson, 2004. "Pricing and Priority Auctions in Queueing Systems with a Generalized Delay Cost Structure," Management Science, INFORMS, vol. 50(7), pages 869-882, July.
    6. Refael Hassin, 1996. "On the Advantage of Being the First Server," Management Science, INFORMS, vol. 42(4), pages 618-623, April.
    7. Leonard Kleinrock, 1967. "Optimum Bribing for Queue Position," Operations Research, INFORMS, vol. 15(2), pages 304-318, April.
    8. Haim Mendelson & Seungjin Whang, 1990. "Optimal Incentive-Compatible Priority Pricing for the M/M/1 Queue," Operations Research, INFORMS, vol. 38(5), pages 870-883, October.
    9. I. Adiri & U. Yechiali, 1974. "Optimal Priority-Purchasing and Pricing Decisions in Nonmonopoly and Monopoly Queues," Operations Research, INFORMS, vol. 22(5), pages 1051-1066, October.
    10. Xuanming Su & Stefanos Zenios, 2004. "Patient Choice in Kidney Allocation: The Role of the Queueing Discipline," Manufacturing & Service Operations Management, INFORMS, vol. 6(4), pages 280-301, June.
    11. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    12. Refael Hassin & Moshe Haviv, 1997. "Equilibrium Threshold Strategies: The Case of Queues with Priorities," Operations Research, INFORMS, vol. 45(6), pages 966-973, December.
    13. Jinting Wang & Shiliang Cui & Zhongbin Wang, 2019. "Equilibrium Strategies in M/M/1 Priority Queues with Balking," Production and Operations Management, Production and Operations Management Society, vol. 28(1), pages 43-62, January.
    14. Luyi Yang & Laurens G. Debo & Varun Gupta, 2019. "Search Among Queues Under Quality Differentiation," Management Science, INFORMS, vol. 65(8), pages 3605-3623, August.
    15. Lode Li, 1992. "The Role of Inventory in Delivery-Time Competition," Management Science, INFORMS, vol. 38(2), pages 182-197, February.
    16. Edelson, Noel M & Hildebrand, David K, 1975. "Congestion Tolls for Poisson Queuing Processes," Econometrica, Econometric Society, vol. 43(1), pages 81-92, January.
    17. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
    18. Srinagesh Gavirneni & Vidyadhar G. Kulkarni, 2016. "Self-Selecting Priority Queues with Burr Distributed Waiting Costs," Production and Operations Management, Production and Operations Management Society, vol. 25(6), pages 979-992, June.
    19. Kyle Cattani & Glen M. Schmidt, 2005. "The Pooling Principle," INFORMS Transactions on Education, INFORMS, vol. 5(2), pages 17-24, January.
    20. 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.
    21. Shiliang Cui & Zhongbin Wang & Luyi Yang, 2020. "The Economics of Line-Sitting," Management Science, INFORMS, vol. 66(1), pages 227-242, January.
    22. Rafael Hassin, 1995. "Decentralized Regulation of a Queue," Management Science, INFORMS, vol. 41(1), pages 163-173, January.
    23. Gérard P. Cachon & Fuqiang Zhang, 2007. "Obtaining Fast Service in a Queueing System via Performance-Based Allocation of Demand," Management Science, INFORMS, vol. 53(3), pages 408-420, March.
    24. Hamid Nazerzadeh & Ramandeep S. Randhawa, 2018. "Near†Optimality of Coarse Service Grades for Customer Differentiation in Queueing Systems," Production and Operations Management, Production and Operations Management Society, vol. 27(3), pages 578-595, March.
    25. Stephen M. Gilbert & Z. Kevin Weng, 1998. "Incentive Effects Favor Nonconsolidating Queues in a Service System: The Principal--Agent Perspective," Management Science, INFORMS, vol. 44(12-Part-1), pages 1662-1669, December.
    26. Hassin, Refael & Roet-Green, Ricky, 2018. "Cascade equilibrium strategies in a two-server queueing system with inspection cost," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1014-1026.
    27. Lui, Francis T, 1985. "An Equilibrium Queuing Model of Bribery," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 760-781, August.
    28. Itai Gurvich & Martin A. Lariviere & Can Ozkan, 2019. "Coverage, Coarseness, and Classification: Determinants of Social Efficiency in Priority Queues," Management Science, INFORMS, vol. 65(3), pages 1061-1075, March.
    29. Mor Armony & Erica L. Plambeck, 2005. "The Impact of Duplicate Orders on Demand Estimation and Capacity Investment," Management Science, INFORMS, vol. 51(10), pages 1505-1518, October.
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