Batch size modeling in a multi-item, discrete manufacturing system via an open queuing network.: An article from: IIE Transactions

This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on August 1, 2004. The length of the article is 7780 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: An open Queuing Network Analyzer (QNA) is often used in areas such as communication systems and discrete parts manufacturing systems. It uses the parametric decomposition method to approximately calculate the performance measures. The core of the method involves solving two systems of linear equations to calculate the first two moments of the effective arrival rate and service time. In this paper, we consider the effects of batch size on the parametric decomposition procedure of the QNA and modify the two sets of linear equations accordingly. The concept of a relative batch size is proposed for the purpose of modeling the effects of batch size. Experimental results are shown to illustrate the effectiveness of the method.

Citation Details
Title: Batch size modeling in a multi-item, discrete manufacturing system via an open queuing network.
Author: Gang Meng
Publication:IIE Transactions (Refereed)
Date: August 1, 2004
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 36 Issue: 8 Page: 743(11)

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