Mean Value Analysis Package to Accompany Modeling and Analysis of Manufacturing Systems
Author: Ronald G. Askin
Publisher:
Published: 1993
Total Pages: 0
ISBN-13: 9780471557944
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Modeling and Analysis of Manufacturing Systems
Author: Ronald G. Askin
Publisher:
Published: 1993
Total Pages: 461
ISBN-13: 9780471573692
DOWNLOAD EBOOK →Unique in its focus on design and analysis methodologies for all areas of material flow management and system resource usage. Features research techniques that demonstrate the difference between opinions and findings, leading--edge approach to facility layout and a comprehensive queueing network.
Manufacturing Systems Modeling and Analysis
Author: Guy L. Curry
Publisher: Springer Science & Business Media
Published: 2010-11-10
Total Pages: 350
ISBN-13: 3642166180
DOWNLOAD EBOOK →This text presents the practical application of queueing theory results for the design and analysis of manufacturing and production systems. This textbook makes accessible to undergraduates and beginning graduates many of the seemingly esoteric results of queueing theory. In an effort to apply queueing theory to practical problems, there has been considerable research over the previous few decades in developing reasonable approximations of queueing results. This text takes full advantage of these results and indicates how to apply queueing approximations for the analysis of manufacturing systems. Support is provided through the web site http://msma.tamu.edu. Students will have access to the answers of odd numbered problems and instructors will be provided with a full solutions manual, Excel files when needed for homework, and computer programs using Mathematica that can be used to solve homework and develop additional problems or term projects. In this second edition a separate appendix dealing with some of the basic event-driven simulation concepts has been added.
Stochastic Modeling of Manufacturing Systems
Author: George Liberopoulos
Publisher: Springer Science & Business Media
Published: 2005-12-12
Total Pages: 363
ISBN-13: 3540290575
DOWNLOAD EBOOK →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.
Analysis and Modeling of Manufacturing Systems
Author: Stanley B. Gershwin
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 443
ISBN-13: 1461510198
DOWNLOAD EBOOK →Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events. Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.
Performance Analysis of Manufacturing Systems
Author: Tayfur Altiok
Publisher: Springer Science & Business Media
Published: 1997
Total Pages: 372
ISBN-13: 0387947736
DOWNLOAD EBOOK →The past two decades have seen a great deal of research into the stochastic modelling of production, manufacturing, and inventory systems for the purpose of improving their performance. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques. The author has aimed to strike a balance between theoretical issues and the practical aspects of modelling manufacturing systems. It is based on graduate courses given to operations research and industrial engineering students and includes numerous examples and exercises.
PERFORMANCE MODELING OF AUTOMATED SYSTEMS
Author: VISWANADHAM, N.
Publisher: PHI Learning Pvt. Ltd.
Published: 2015-06-01
Total Pages: 608
ISBN-13: 8120308700
DOWNLOAD EBOOK →The text is designed for engineering students at the senior undergraduate level and first-year students at graduate level, and professionals (R&D engineers in the industry and factory managers). The authors offer a unique effort in presenting a unified and systematic treatment of various modeling methodologies and analysis techniques for performance evaluation of automated manufacturing systems. The text begins with an overview of automated manufacturing systems, and then provides a clear and comprehensive discussion of three principal analytical modeling paradigms: Markov Chains, Queues and Queuing Networks, and Petri Nets. Salient Features • Present the first ever treatment of the mathematical modeling of manufacturing systems. • Offers a unified study of principal analytical modeling paradigms for automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems, including deadlock modeling, transient analysis, queuing network approximations, Petri Net modeling, and integrated analytical modeling. • Provides a large number of exercises and problems.
Stochastic Modeling and Analysis of Manufacturing Systems
Author: David D. Yao
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 369
ISBN-13: 1461226708
DOWNLOAD EBOOK →Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
Handbook of Stochastic Models and Analysis of Manufacturing System Operations
Author: J. MacGregor Smith
Publisher: Springer Science & Business Media
Published: 2013-05-17
Total Pages: 397
ISBN-13: 1461467772
DOWNLOAD EBOOK →This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
The Management of Manufacturing
Author: Edward J. Anderson
Publisher: Addison Wesley Publishing Company
Published: 1994
Total Pages: 428
ISBN-13:
DOWNLOAD EBOOK →This text sets out to demonstrate the types of models and analysis necessary to solve problems in production management. It focuses on the flow of material through the manufacturing process and provides a balanced, up-to-date account of the fundamentals.
