Author: George LiberopoulosPublisher:
ISBN:
Category :
Languages : en
Pages : 323
Book Description
Stochastic Models for the Design, Coordination and Control of Manufacturing Systems
Author: George LiberopoulosStochastic Models for the Design, Coordination and Control of Manufacturing Systems ( Editors: G. Liberopoulos, ...
Author: G. LiberopoulosHandbook of Stochastic Models and Analysis of Manufacturing System Operations
Author: J. MacGregor SmithPublisher: Springer Science & Business Media
ISBN: 1461467772
Category : Business & Economics
Languages : en
Pages : 397
Book Description
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.
Stochastic Modeling of Manufacturing Systems
Author: George LiberopoulosPublisher: Springer Science & Business Media
ISBN: 3540290575
Category : Business & Economics
Languages : en
Pages : 363
Book Description
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.
Stochastic Models of Manufacturing Systems
Author: John A. BuzacottPublisher: Englewood Cliffs, N.J. : Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 586
Book Description
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.
Stochastic Modeling and Analysis of Manufacturing Systems
Author: David D. YaoPublisher: Springer Science & Business Media
ISBN: 1461226708
Category : Business & Economics
Languages : en
Pages : 369
Book Description
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.
Stochastic modeling of manufacturing systems
Author: Publisher:
ISBN:
Category : Production management
Languages : ja
Pages : 363
Book Description
Stochastic Models for Performance Analysis and Optimization of Design and Control Policies in Manufacturing Systems
Author: Miray Öner KözenStochastic Models of Production-inventory Systems
Author: Analysis and Modeling of Manufacturing Systems
Author: Stanley B. GershwinPublisher: Springer Science & Business Media
ISBN: 1461510198
Category : Business & Economics
Languages : en
Pages : 443
Book Description
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.