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IEOR e-Seminar by Dr. S. Srivatsa Srinivas

Title: Equilibrium analysis of a capacitated M/M/1 queue under unknown service rates consisting of strategic and non-strategic customers

Speaker: Dr. S. Srivatsa Srinivas, Research Associate, Production & Quantitative Methods Area, Indian Institute of Management Ahmedabad

Abstract: We consider a capacitated M/M/1 observable non-customer-intensive service queueing system under unknown service rates consisting of impatient customers who make strategic join or balk decisions and patient customers who do not make any strategic decision. In the queueing game among the impatient customers, we show that there exists at least one pure threshold strategy equilibrium even in the presence of patient customers. Further, we find that the minimal pure threshold strategy equilibrium is non-increasing in the proportion of impatient customers and non-decreasing in the waiting area capacity. In the presence of impatient customers, an interesting counterintuitive proposition emerges wherein the blocking probability is not always monotonically decreasing in the waiting area capacity.

Speaker Bio: S. Srivatsa Srinivas is currently a Research Associate in the Production & Quantitative Methods Area at the Indian Institute of Management Ahmedabad. He completed his M.S. and Ph.D. in Applied Game Theory and Operations Research at the Indian Institute of Technology Madras in 2020. In his doctoral thesis, he focused on analyzing queueing game-theoretic problems in the service operations context. During his doctoral studies, he was a recipient of the prestigious Institute Research Award presented by the Indian Institute of Technology Madras to select doctoral scholars. His areas of interest include service operations, strategic queueing, public policy modeling, and game theory applications. He has published in leading Industrial Engineering and Operations Research Journals during his undergraduate and doctoral studies.
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Date and Time: Thursday, Dec 3, 2020, 2:30 pm | 1-hour | (UTC+05:30) Chennai, Kolkata, Mumbai, New Delhi

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