A queueing model for an automatic manufacturing system with disasters, breakdowns and vacations. Optimal design and analysis

Nada Riheb Yatim (), Amina Angelika Bouchentouf () and Pikkala Vijaya Laxmi ()

Operations Research and Decisions, 2024, vol. 34, issue 4, 231-250

Abstract: We study a queueing model with disasters, working breakdowns, balking, reneging, and vacations. This is a novel and realistic queueing model that captures the complex dynamics and behaviors of an automatic manufacturing system (AMS) with various uncertainties and disruptions. The system loses all customers when a disaster occurs and repairs start immediately. New customers get slower service during breakdowns. We use matrix methods to find the system’s steady state along with performance measures like the expected number of customers lost, the expected waiting time, and system reliability. We also optimize the system parameters (system capacity, number of servers, service rates) to minimize the cost function using a combined direct search method and quasi-Newton method. Our results can enhance the AMS’s performance, profit, and customer satisfaction.

Keywords: queueing models; disasters; customers’ impatienc; vacation; Q-matrix method; optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:4:p:231-250:id:13

DOI: 10.37190/ord240413

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