Title
Simulation of a Queueing Model Useful in Crowdsourcing
Document Type
Conference Proceeding
Publication Date
5-23-2017
Publication Title
ECMS 2017 Proceedings
Conference Name
31st European Conference on Modelling and Simulation
Abstract
In this paper we study a multi-server queueing model in the context of crowdsourcing useful in service sectors. There are two types of arrivals to the system such that one group of customers after getting service from the system may serve (with a certain probability) another group. Through simulation we point out, even for a small value of this probability, the significant advantage in considering crowdsourcing by offering more traffic load (through increasing the rate of online customers without violating the stability condition) to the system resulting in more customers served (which in turn increasing the revenues when cost/profits are incorporated). Also, the role of correlation, especially a positive one, present in the inter-arrival times in the system performance measures is highlighted.
Rights Statement
©2017 European Council for Modelling and Simulation (ECMS)
Recommended Citation
Chakravarthy, Srinivas R. and Ozkar, Serife, "Simulation of a Queueing Model Useful in Crowdsourcing" (2017). Industrial & Manufacturing Engineering Presentations And Conference Materials. 32.
https://digitalcommons.kettering.edu/industrialmanuf_eng_conference/32
Comments
doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD)