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A Versatile Queuing System For Sharing Economy Platform Operations

Center for Cyber-Physical Systems, ECE Department, Khalifa University, P.O. Box 127788, Abu Dhabi, UAE
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Mathematics 2019, 7(11), 1005; https://doi.org/10.3390/math7111005
Received: 28 September 2019 / Revised: 15 October 2019 / Accepted: 18 October 2019 / Published: 23 October 2019
(This article belongs to the Special Issue Queue and Stochastic Models for Operations Research)
The paper deals with a sharing economy system with various management factors by using a bulk input G/M/1 type queuing model. The effective management of operating costs is vital for controlling the sharing economy platform and this research builds the theoretical background to understand the sharing economy business model. Analytically, the techniques include a classical Markov process of the single channel queueing system, semi-Markov process and semi-regenerative process. It uses the stochastic congruent properties to find the probability distribution of the number of contractors in the sharing economy platform. The obtained explicit formulas demonstrate the usage of functional for the main stochastic characteristics including sharing expenses due to over contracted resources and optimization of their objective function. View Full-Text
Keywords: non-linear system; sharing economy; service management; semi-regenerative process; stochastic congruence; queueing model non-linear system; sharing economy; service management; semi-regenerative process; stochastic congruence; queueing model
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MDPI and ACS Style

Kim, S.-K.; Yeun, C.Y. A Versatile Queuing System For Sharing Economy Platform Operations. Mathematics 2019, 7, 1005.

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