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Special Issue On Stochastic Manufacturing Systems
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Book Synopsis Special Issue on Stochastic Manufacturing Systems by : John A. Buzacott
Download or read book Special Issue on Stochastic Manufacturing Systems written by John A. Buzacott and published by . This book was released on 2008 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Special Issue on Manufacturing Systems by :
Download or read book Special Issue on Manufacturing Systems written by and published by . This book was released on 1993 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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 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 Control of Manufacturing Systems by : Sanjay Joshi
Download or read book Control of Manufacturing Systems written by Sanjay Joshi and published by . This book was released on 1992 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Science & Business Media. This book was released on 2012-12-06 with total page 369 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 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 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 Stochastic Discrete Event Systems by : Armin Zimmermann
Download or read book Stochastic Discrete Event Systems written by Armin Zimmermann and published by Springer Science & Business Media. This book was released on 2008-01-12 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.
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 Special Issue on Process Monitoring in Manufacturing Systems by : Maciej Szafarczyk
Download or read book Special Issue on Process Monitoring in Manufacturing Systems written by Maciej Szafarczyk and published by . This book was released on 1999 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Two Problems in the Optimal Control of Stochastic Manufacturing Systems by : Prayoon Patana-anake
Download or read book Two Problems in the Optimal Control of Stochastic Manufacturing Systems written by Prayoon Patana-anake and published by . This book was released on 2000 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Special Issue: Modelling, Specification and Analysis of Manufacturing Systems by : François Vernadat
Download or read book Special Issue: Modelling, Specification and Analysis of Manufacturing Systems written by François Vernadat and published by . This book was released on 2001 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Copernicus. This book was released on 1994 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 Stochastic Processes: Modeling and Simulation by : D N Shanbhag
Download or read book Stochastic Processes: Modeling and Simulation written by D N Shanbhag and published by Gulf Professional Publishing. This book was released on 2003-02-24 with total page 1028 pages. Available in PDF, EPUB and Kindle. Book excerpt: This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value therapy, applications of Markov chains, modelling with Monte Carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. particular with modelling, simulation techniques and numerical methods concerned with stochastic processes. The scope of the project involving this volume as well as volume 19 is already clarified in the preface of volume 19. The present volume completes the aim of the project and should serve as an aid to students, teachers, researchers and practitioners interested in applied stochastic processes.
Book Synopsis Special Issue on Robust and Stochastic Optimization in Production Systems and Supply Chain Management by :
Download or read book Special Issue on Robust and Stochastic Optimization in Production Systems and Supply Chain Management written by and published by . This book was released on 2013 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: