Closed Queuing Networks with Multiple-server Stations - Sahu, Sushanta
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Closed Queuing Networks are used in modeling systems such as Flexible Manufacturing (FMS), CONWIP Material Control, Computer/Communication Systems, Biotech Manufacturing and Health Care. Mean Value Analysis (MVA) is often used to compute the performance measures for these models. For networks with multiple-server stations, the exact MVA algorithm becomes computationally complex. The Schweitzer-Bard (S-B) approximation for MVA is simple and computationally efficient. However it has only been developed for networks with single-server stations. We provide a simple extension to S-B MVA to enable…mehr

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Produktbeschreibung
Closed Queuing Networks are used in modeling systems such as Flexible Manufacturing (FMS), CONWIP Material Control, Computer/Communication Systems, Biotech Manufacturing and Health Care. Mean Value Analysis (MVA) is often used to compute the performance measures for these models. For networks with multiple-server stations, the exact MVA algorithm becomes computationally complex. The Schweitzer-Bard (S-B) approximation for MVA is simple and computationally efficient. However it has only been developed for networks with single-server stations. We provide a simple extension to S-B MVA to enable the analysis of networks with multiple-server stations. We develop an approximation for networks with single customer classes and then extend it to networks with multiple customer classes and general service time distributions. Comparison with exact results and simulation experiments for a wide variety of network configurations demonstrates the accuracy of this approach.
Autorenporträt
Dr. Sushanta Sahu has obtained his PhD degree in 2007 in Industrial and Systems Engineering from the University of Wisconsin-Madison. He currently works for National Oilwell Varco, headquartered in Houston, Texas and is responsible for developing manufacturing strategies across multiple production facilities worldwide.