Stochastic Modeling of Manufacturing Systems : Advances in Design, Performance Evaluation, and Control Issues

James MacGregor Smith

ISBN 10: 3540265791 / ISBN 13: 9783540265795

Published by Springer, 2005

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

Seller Inventory # 9783540265795

Bibliographic Details

• Title: Stochastic Modeling of Manufacturing Systems : Advances in Design, Performance Evaluation, and Control Issues
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 3540265791
• ISBN 13: 9783540265795
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 794 grams

About this title

Synopsis

Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.