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Incentive-Compatible Pricing for a Service Facility with Joint Production and Congestion Externalities

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  • Albert Y. Ha

    (Yale School of Management, Yale University, New Haven, Connecticut 06520)

Abstract

This paper considers the pricing problem of a service facility when services are jointly produced by the customers and the facility. Building on the work of Mendelson (1985), we model the facility as a GI/GI/1 queue with customer-chosen service rates and linear delay costs. We show that the service rates chosen by the customers, based on their self-interest, are always suboptimal for the facility due to congestion externalities. We derive optimal incentive-compatible pricing schemes that can achieve optimal arrival rates and induce customers to choose optimal service rates. For the case of systemwide net-value maximization, we show that the optimal incentive-compatible pricing scheme consists of a variable fee that is proportional to the actual service time and a fixed rebate that is equal to a customer's expected delay cost in the queue. For the case of profit maximization of the facility, we show that the optimal pricing scheme again consists of a fixed fee and a variable fee. One insight from our analysis is that it may be appropriate for a service facility to reimburse each customer for his actual delay cost in the queue.

Suggested Citation

  • Albert Y. Ha, 1998. "Incentive-Compatible Pricing for a Service Facility with Joint Production and Congestion Externalities," Management Science, INFORMS, vol. 44(12-Part-1), pages 1623-1636, December.
  • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:12-part-1:p:1623-1636
    DOI: 10.1287/mnsc.44.12.1623
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    References listed on IDEAS

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    Cited by:

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    4. Jan A. Van Mieghem, 2000. "Price and Service Discrimination in Queuing Systems: Incentive Compatibility of Gc\mu Scheduling," Management Science, INFORMS, vol. 46(9), pages 1249-1267, September.
    5. Jeff Hong, L. & Xu, Xiaowei & Zhang, Sheng Hao, 2015. "Capacity reservation for time-sensitive service providers: An application in seaport management," European Journal of Operational Research, Elsevier, vol. 245(2), pages 470-479.
    6. Aktaran-KalaycI, Tûba & Ayhan, Hayriye, 2009. "Sensitivity of optimal prices to system parameters in a steady-state service facility," European Journal of Operational Research, Elsevier, vol. 193(1), pages 120-128, February.
    7. Pangburn, Michael S. & Stavrulaki, Euthemia, 2008. "Capacity and price setting for dispersed, time-sensitive customer segments," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1100-1121, February.
    8. Philipp Afèche & Opher Baron & Yoav Kerner, 2013. "Pricing Time-Sensitive Services Based on Realized Performance," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 492-506, July.
    9. Ray, Saibal & Jewkes, E. M., 2004. "Customer lead time management when both demand and price are lead time sensitive," European Journal of Operational Research, Elsevier, vol. 153(3), pages 769-781, March.
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    11. E. Ursavas & Stuart X. Zhu, 2018. "Integrated Passenger and Freight Train Planning on Shared-Use Corridors," Service Science, INFORMS, vol. 52(6), pages 1376-1390, December.
    12. Vernon N. Hsu & Susan H. Xu & Boris Jukic, 2009. "Optimal Scheduling and Incentive Compatible Pricing for a Service System with Quality of Service Guarantees," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 375-396, May.
    13. Gregory Dobson & Euthemia Stavrulaki, 2007. "Simultaneous price, location, and capacity decisions on a line of time‐sensitive customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(1), pages 1-10, February.
    14. Murat Erkoc & S. David Wu & Haresh Gurnani, 2008. "Delivery‐date and capacity management in a decentralized internal market," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(5), pages 390-405, August.
    15. Albert Y. Ha, 2001. "Optimal Pricing That Coordinates Queues with Customer-Chosen Service Requirements," Management Science, INFORMS, vol. 47(7), pages 915-930, July.
    16. Pnina Feldman & Ella Segev, 2022. "The Important Role of Time Limits When Consumers Choose Their Time in Service," Management Science, INFORMS, vol. 68(9), pages 6666-6686, September.
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    18. Y Perlman & M Kaspi, 2007. "Centralized decision of internal transfer-prices with congestion externalities for two modes of repair with limited repair capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1178-1184, September.
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