Analysis of Queueing System with Dynamic Rating-Dependent Arrival Process and Price of Service
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- Sapana Sharma & Rakesh Kumar & Bhavneet Singh Soodan & Pradeep Singh, 2023. "Queuing models with customers' impatience: a survey," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 26(4), pages 523-547.
- Gad Allon & Awi Federgruen, 2008. "Service Competition with General Queueing Facilities," Operations Research, INFORMS, vol. 56(4), pages 827-849, August.
- Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
- Hwang, Johye & Gao, Long & Jang, Wooseung, 2010. "Joint demand and capacity management in a restaurant system," European Journal of Operational Research, Elsevier, vol. 207(1), pages 465-472, November.
- Fengfeng Huang & Pengfei Guo & Yulan Wang, 2019. "Cyclic Pricing When Customers Queue with Rating Information," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2471-2485, October.
- A. Gómez-Corral, 2006. "A bibliographical guide to the analysis of retrial queues through matrix analytic techniques," Annals of Operations Research, Springer, vol. 141(1), pages 163-191, January.
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Keywords
rating-dependent Markov arrival process; multi-server queue; revenue maximization;All these keywords.
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