Handbook of Stochastic Models and Analysis of Manufacturing System Operations, J. MacGregor Smith; Bar?? Tan
Автор: David D. Yao Название: Stochastic Modeling and Analysis of Manufacturing Systems ISBN: 1461276284 ISBN-13(EAN): 9781461276289 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: F. Archetti; M. Lucertini; P. Serafini Название: Operations Research Models in Flexible Manufacturing Systems ISBN: 321182099X ISBN-13(EAN): 9783211820995 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume aims at giving an updated account of the most relevant issues in the area of Flexible Manufacturing Systems with special emphasis to the problems of Simulation, Modelling, Planning, Scheduling, Economical Evaluation. Arbib, Lucertini, Nicolo: Optimization models for FMS; Buzacott: Flexible models of FMS, and Modelling FMS;
Автор: Sharma Название: Manufacturing Operations Management ISBN: 1482257882 ISBN-13(EAN): 9781482257885 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes broad coverage of production and associated services. Since the success of manufacturing operations depends on the demand information and costs and revenue, qualitative and quantitative techniques of demand forecasting and also financial analysis are covered in this book. Topics such as facilities layout, inventory, project management, production, planning and management are explained in detail. Additional topics include quality control and work study.
Описание: 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. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Автор: Liberopoulos Название: Stochastic Modeling of Manufacturing Systems ISBN: 3540265791 ISBN-13(EAN): 9783540265795 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Поставка под заказ.
Описание: 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.
Автор: Suresh Prakash Sethi; Han-Qin Zhang; Qing Zhang Название: Average-Cost Control of Stochastic Manufacturing Systems ISBN: 1441919546 ISBN-13(EAN): 9781441919540 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book applies stochastic models and analytical techniques to such areas of manufacturing as facilities planning, transportation and material handling systems, production scheduling, logistics, supply chain management and productivity and quality models.
Описание: This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment Analytics.Chapters include a review of cross-efficiency evaluation; a case study on measuring the environmental performance of OECS countries; how to select a set of performance metrics in DEA with an application to American banks; a relational network model to take the operations of individual periods into account in measuring efficiencies; how the efficient frontier methods DEA and stochastic frontier analysis (SFA) can be used synergistically; and how to integrate DEA and multidimensional scaling.In other chapters, authors construct a dynamic three-stage network DEA model; a bootstrapping based methodology to evaluate returns to scale and convexity assumptions in DEA; hybridizing DEA and cooperative games; using DEA to represent the production technology and directional distance functions to measure band performance; an input-specific Luenberger energy and environmental productivity indicator; and the issue of reference set by differentiating between the uniquely found reference set and the unary and maximal types of the reference set.Finally, additional chapters evaluate and compare the technological advancement observed in different hybrid electric vehicles (HEV) market segments over the past 15 years; radial measurement of efficiency for the production process possessing multi-components under different production technologies; issues around the use of accounting information in DEA; how to use DEA environmental assessment to establish corporate sustainability; a summary of research efforts on DEA environmental assessment applied to energy in the last 30 years; and an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions.
Автор: Suresh P. Sethi; Qing Zhang Название: Hierarchical Decision Making in Stochastic Manufacturing Systems ISBN: 1461266947 ISBN-13(EAN): 9781461266945 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Anthony H. Christer; Shunji Osaki; Lyn C. Thomas Название: Stochastic Modelling in Innovative Manufacturing ISBN: 354061768X ISBN-13(EAN): 9783540617686 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council.
Автор: George Liberopoulos; Chrissoleon T. Papadopoulos; Название: Stochastic Modeling of Manufacturing Systems ISBN: 3642065880 ISBN-13(EAN): 9783642065880 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Manufacturing systems rarely perform exactly as expected and predicted. 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.
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