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Study of Industrial Model for Five-Input, Five-Stage Queueing Network

Study of Industrial Model for Five-Input, Five-Stage Queueing Network

Jitendra Kumar, Vikas Shinde
Copyright: © 2016 |Pages: 40
ISBN13: 9781466698888|ISBN10: 1466698888|EISBN13: 9781466698895
DOI: 10.4018/978-1-4666-9888-8.ch015
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MLA

Kumar, Jitendra, and Vikas Shinde. "Study of Industrial Model for Five-Input, Five-Stage Queueing Network." Optimal Inventory Control and Management Techniques, edited by Mandeep Mittal and Nita H. Shah, IGI Global, 2016, pp. 300-339. https://doi.org/10.4018/978-1-4666-9888-8.ch015

APA

Kumar, J. & Shinde, V. (2016). Study of Industrial Model for Five-Input, Five-Stage Queueing Network. In M. Mittal & N. Shah (Eds.), Optimal Inventory Control and Management Techniques (pp. 300-339). IGI Global. https://doi.org/10.4018/978-1-4666-9888-8.ch015

Chicago

Kumar, Jitendra, and Vikas Shinde. "Study of Industrial Model for Five-Input, Five-Stage Queueing Network." In Optimal Inventory Control and Management Techniques, edited by Mandeep Mittal and Nita H. Shah, 300-339. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9888-8.ch015

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Abstract

In this paper, we have developed an industrial model for textile industry with five-input, five-stage queueing network, wherein system receives orders from clients that are waiting to be served. The aim of this paper is to compute the optimal path that will provide the least response time for delivery of items to the final destination, through the five stages under queueing network. The mean number of items that can be delivered is minimum response time constitute the optimal capacity of the network. The last node in each stage of the network can be executed in the least possible response time. Various performance indices were carried out such as mean number of item in the system, mean number of item in queue, mean response time, mean waiting time. We have established the equivalent queueing network to analyze the various performance measures with numerical illustration and graph.

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