Abstract

The present investigation deals with analysis of non-Markovian queueing model with multistage of services. When the server is unavailable during the system breakdown (or) vacation periods, we consider reneging to prevail. Supplementary variable techniques have been adopted to obtain steady state system length distributions. The numerical illustrations are provided to validate the tractability of performance measures as far as computational aspect is concerned. Numerical results in the form of graphical representation are also presented. Practical large scale industry applications are described to justify our model.

Highlights

  • Vacation queueing models play a major role in manufacturing and production, computer and communication, and service and distribution systems

  • Many models for customer’s impatience in queueing systems have been studied in the past, and the source of impatience has always been considered to be either a long wait already experienced at a queue or a long wait anticipated by a customer upon arrival

  • In 2012, Kumar and Sharma [18] analyzed a single server queue with general service time distribution, random system breakdowns, and Bernoulli schedule server vacations where, after a service completion, the server may decide to leave the system with probability p or to continue serving customers with probability 1 − p

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Summary

A Non-Markovian Multistage Batch Arrival Queue with Breakdown and Reneging

The present investigation deals with analysis of non-Markovian queueing model with multistage of services. When the server is unavailable during the system breakdown (or) vacation periods, we consider reneging to prevail. Supplementary variable techniques have been adopted to obtain steady state system length distributions. The numerical illustrations are provided to validate the tractability of performance measures as far as computational aspect is concerned. Numerical results in the form of graphical representation are presented. Practical large scale industry applications are described to justify our model

Introduction
Applications of Model
Electric Motor Production Industry
Automobile Industry
Textile Yarn Production Industry
The Mathematical Description of the Model
Definitions and Notations
Equations Governing the System
Queue Size Distribution at Random Epoch
Average Queue Size and Average Waiting Time
Particular Cases
Numerical Illustration
10. Conclusion
Full Text
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