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Mathematics Of Stochastic Manufacturing Systems
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Book Synopsis Hierarchical Decision Making in Stochastic Manufacturing Systems by : Suresh P. Sethi
Download or read book Hierarchical Decision Making in Stochastic Manufacturing Systems written by Suresh P. Sethi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs.
Book Synopsis Mathematics of Stochastic Manufacturing Systems by : George Yin
Download or read book Mathematics of Stochastic Manufacturing Systems written by George Yin and published by American Mathematical Soc.. This book was released on 1997-01-01 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, leading experts in mathematical manufacturing research and related fields review and update recent advances of mathematics in stochastic manufacturing systems and attempt to bridge the gap between theory and applications. The topics covered include scheduling and production planning, modeling of manufacturing systems, hierarchical control for large and complex systems, Markov chains, queueing networks, numerical methods for system approximations, singular perturbed systems, risk-sensitive control, stochastic optimization methods, discrete event systems, and statistical quality control.
Book Synopsis Average-Cost Control of Stochastic Manufacturing Systems by : Suresh P. Sethi
Download or read book Average-Cost Control of Stochastic Manufacturing Systems written by Suresh P. Sethi and published by Springer Science & Business Media. This book was released on 2006-03-22 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
Book Synopsis Mathematics of Stochastic Manufacturing Systems by : George Yin
Download or read book Mathematics of Stochastic Manufacturing Systems written by George Yin and published by American Mathematical Soc.. This book was released on 1997-01-01 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, leading experts in mathematical manufacturing research and related fields review and update recent advances of mathematics in stochastic manufacturing systems and attempt to bridge the gap between theory and applications. The topics covered include scheduling and production planning, modeling of manufacturing systems, hierarchical control for large and complex systems, Markov chains, queueing networks, numerical methods for system approximations, singular perturbed systems, risk-sensitive control, stochastic optimization methods, discrete event systems, and statistical quality control.
Book Synopsis Mathematics of Stochastic Manufacturing Systems by : G. George Yin
Download or read book Mathematics of Stochastic Manufacturing Systems written by G. George Yin and published by . This book was released on 1996 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Models of Manufacturing Systems by : John A. Buzacott
Download or read book Stochastic Models of Manufacturing Systems written by John A. Buzacott and published by Englewood Cliffs, N.J. : Prentice Hall. This book was released on 1993 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlining the major issues that have to be addressed in the design and operation of each type of system, this new text explores the stochastic models of a wide range of manufacturing systems. It covers flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular systems, and more. For professionals working in the area of manufacturing system modelling.
Book Synopsis Stochastic Modeling of Manufacturing Systems by : George Liberopoulos
Download or read book Stochastic Modeling of Manufacturing Systems written by George Liberopoulos and published by Springer Science & Business Media. This book was released on 2005-12-12 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Stochastic Modeling and Analysis of Manufacturing Systems by : David D. Yao
Download or read book Stochastic Modeling and Analysis of Manufacturing Systems written by David D. Yao and published by Springer. This book was released on 1994-01-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :J. George Shanthikumar Publisher :Springer Science & Business Media ISBN 13 :9781402075087 Total Pages :436 pages Book Rating :4.0/5 (75 download)
Book Synopsis Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains by : J. George Shanthikumar
Download or read book Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains written by J. George Shanthikumar and published by Springer Science & Business Media. This book was released on 2003-07-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Editors have taken the occasion of Professor John A. Buzacott's retirement as a motivating event to develop this volume. The objectives of Stochastic Modeling And Optimization Of Manufacturing Systems And Supply Chains is to both honor John Buzacott's achievements and to publish a set of well-written chapters on highly timely topics in the field of manufacturing and supply chain management. The book is organized into two parts. The first part focuses on aspects of manufacturing systems modeling. This part includes chapters on the evolution of manufacturing systems modeling, queuing network models and related software technologies, two-moment approximation for fork/join queues, and asymptotic optimality of a scheduling policy. (Midwest).
Book Synopsis Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems by : Houmin Yan
Download or read book Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems written by Houmin Yan and published by Springer Science & Business Media. This book was released on 2006-09-10 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Book Synopsis Average-cost Control of Stochastic Manufacturing Systems by : Suresh P. Sethi
Download or read book Average-cost Control of Stochastic Manufacturing Systems written by Suresh P. Sethi and published by . This book was released on 2005 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
Book Synopsis Turnpike Sets in Stochastic Manufacturing Systems with Finite Time Horizons by : Q. Zhang
Download or read book Turnpike Sets in Stochastic Manufacturing Systems with Finite Time Horizons written by Q. Zhang and published by . This book was released on 1993 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Stochastic Models and Analysis of Manufacturing System Operations by : J. MacGregor Smith
Download or read book Handbook of Stochastic Models and Analysis of Manufacturing System Operations written by J. MacGregor Smith and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Recent Advances in Control and Optimization of Manufacturing Systems by : George Yin
Download or read book Recent Advances in Control and Optimization of Manufacturing Systems written by George Yin and published by Springer. This book was released on 2014-03-12 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a competitive world, research in manufacturing systems plays an important role in creating, updating and improving the technologies and management practices of the economy. This volume presents some of the most recent results in stochastic manufacturing systems. Experts from the fields of applied mathematics, engineering and management sciences review and substantially update the recent advances in the control and optimization of manufacturing systems. Recent Advances in Control and Optimization of Manufacturing Systems consists of eight chapters divided into three parts which focus on Optimal Production Planning, Scheduling and Improvability and Approximate Optimality and Robustness. This book is intended for researchers and practitioners in the fields of systems theory, control and optimization, and operation management as well as in applied probability and stochastic processes.
Book Synopsis Constructive Computation in Stochastic Models with Applications by : Quan-Lin Li
Download or read book Constructive Computation in Stochastic Models with Applications written by Quan-Lin Li and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.
Book Synopsis Stochastic Modeling and Analysis of Manufacturing Systems by : David D. Yao
Download or read book Stochastic Modeling and Analysis of Manufacturing Systems written by David D. Yao and published by Springer. This book was released on 2011-09-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Performance Analysis of Manufacturing Systems by : Tayfur Altiok
Download or read book Performance Analysis of Manufacturing Systems written by Tayfur Altiok and published by Springer Science & Business Media. This book was released on 1997 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
