Analyzing Customer Impatience in Multi-Server Queuing Systems with Vacation Periods: A computational approach

Abstract

This study investigates controlling customer frustration in multi-server queueing systems during vacation periods which are essential for service industries like retail, healthcare and telecommunications. Via computational modeling, it equals impatience's output on system performance and productivity and suggests optimization methods to limit the negative influence. Rolling out variations of this theory with the pace set by real-world dynamics the research directs towards making the experiences custom-made, clear expectations, and employee training to engender customer satisfaction. Additionally, it tackles server vacation compounding properties, proposing various techniques for designing and optimizing systems. This study lays the foundation for a framework of customer behavior dynamics and management practices in the dynamic service realm.