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      Service Quality Control using Queuing Theory

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            Abstract

            Customers are compelled to queue when a service system is at its busiest. This issue not only reduces customer pleasure, but it also causes the company to lose money. For consumer losses, this study proposes a queue model of customer queuing behavior. The goal is to reduce customer losses, hence researchers are looking at queue setup and optimization in random service systems. We developed three queuing models: MG1, GM1, and GG1 for estimating service quality control. We investigate queuing systems for predicting replies for service quality control based on queue models of customer behavior. The study found that the MG1 queue model yields the best service quality, however the GM1 and GG1 results are relatively close behind.

            Content

            Author and article information

            Journal
            10.54878/EJBESS
            Emirati Journal of Business, Economics and Social Studies
            EJBESS
            Emirates Scholar
            12 April 2022
            : 1
            : 1
            : 31-38
            Affiliations
            [1 ]City University College of Ajman, United Arab Erimates
            Author notes
            Correspondence: Riktesh Srivastava ( riktesh.srivastava@ 123456gmail.com )
            Article
            10.54878/EJBESS.169
            214e9fb0-cc02-4c63-8b36-724d604bfe1f
            ©2022Emirates Scholar

            This is an open access article published by Emirates Scholar and distributed under the Creative Commons Attribution License 4.0 (CC BY).

            History

            Economic theory,Management,Social & Behavioral Sciences,Business & Corporate economics,Economics
            GG1 queue model., MG1 queue model, Service quality control, GM1 queue model

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