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

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

Jitendra Kumar (Madhav Institute of Technology and Science, India) and Vikas Shinde (Madhav Institute of Technology and Science, India)
Copyright: © 2016 |Pages: 40
DOI: 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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1. Introduction

The supply chain management has become very critical is managing risk, dynamism, and complexities of global sourcing. A totally integrated supply chain is required for the company to get the maximum benefit. Supply chain networks (SCN’s) from complex interconnections between manufacturing companies and service providers such as raw material vendors, original equipment manufacturers, logistics operators, warehouse operators, distributors, retailers and customers (see Figure 1).

Figure 1.

Supply chain networks

One can concisely define supply chain management as a coordination and integration of the activities of all companies involved in procuring, producing, delivering and maintaining products and services to customers located in geographically different places. The objectives of the supply chain management and the performance measurements need to be understood in order to build the most effective service. Supply chain management is a process oriented approach for coordinating all the functional units involved in delivery process. This typically occurs in a multi-stage manufacturing system where each downstream requires raw material from its immediate predecessor stages.

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