Pricing in M/M/1 queues when cost of waiting in queue differs from cost of waiting in service
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Date
2017
Authors
görkem sariyer
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Open Access Color
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Abstract
Service providers can adjust the entrance price to the state of the demand in real life service systems where the customers' decision to receive the service is based on this price state of demand and other system parameters. We analyzed service provider's short and long term pricing problems in unobservable M/M/1queues having the rational customers where for customers the unit cost of waiting in the queue is higher than unit cost of waiting in the service. We showed that waiting in the queue has a clear negative effect on customers' utilities hence the service provider's price values. We also showed that in the short term monopolistic pricing is optimal for congested systems with high server utilization levels whereas in the long term market capturing pricing is more profitable
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İstatistik ve Olasılık
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Citation
[1]Leclerc F. Schmitt B. H. Dube L. Waiting time and decision making: Is time like Money? Journal of Consumer Research 22(1) 110-119 (1995).[2]Naor P. The regulation of queue size by levying tolls. Econometrica 37(1) 15-24 (1969).[3]Edelson N. M. Hildebrand D.K. Congestion tolls for queueing processes. Econometrica 43 81-92 (1975).[4]Chen H. Frank M. Z. State dependent pricing with a queue. IIE Transactions 33 847-860 (2001).[5]Chen H. Frank M. Z. Monopoly pricing when customers queue. IIE Transactions 36 569-581 (2004).[6]Knudsen N. C. Individual and social optimization in a multiserver queue with a general cost-benefit structure. Econometrica 40 515-528 (1972).[7]Sariyer G. Effective service design in strategic customer setting. Journal of Computational and Theoretical Nanoscience 12(12) 5109-5113 (2015).[8]Mendelson H. Whang S. Optimal incentive-compatible priority pricing for the M/M/1queue. Operations Research 38 870-883 (1990).[9]Bradford R. Pricing routing and incentive compatibility in multi-server queues. European Journal of Operational Research 89(2) 226-236 (1996).[10]Rao S. Peterson E. R. Optimal pricing of priority services. Operations Research 46 46-56 (1998).[11]Debo L. G. Veeraraghavan S. K. Equilibrium in queues under unknown service rates and service value. Chicago Booth Research Paper 2011: 11-45.[12]Anand K. S. Pac M. F. Veereraghavan S. Quality-speed conundrum: tradeoffs in customer intensive services. Management Science 57(1) 40-56 (2011).[13]Alizamir S. Vericourt F. Sun P. Diagnostic accuracy under congestion. Management Science 59(1) 157-171 (2013).[14]Wang S. Debo L. G. Scheller W. A. Smith S. F. Design and analysis of diagnostic service centers. Management Science 56(11) 1873-1890 (2009).[15]Oliveras M. Lu Y. Musalem A. Schilkrut A. Measuring the effect of queues on customer purchases. Management Science 59(8) 1743-1763 (2013).[16]Giebelhausen M. D. Robinson S. G. Cronin J. J. Worth waiting for: increasing satisfaction by making consumers wait. Journal of the Academy of Marketing Science 39(6) 889-905 (2011).[17]Sariyer G. Effect of in queue waiting on decision making. International Journal of Basic and Applied Sciences 14(6) 13-18 (2014).[18]Hassin R. Haviv M. To queue or not to queue. International Series in Operations Research and Management Science 59 Kluwer Publishing (2002)
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Source
An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
Volume
7
Issue
1
Start Page
35
End Page
41
