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Titlebook: Optimal Flow Control in Manufacturing Systems; Production Planning Oded Maimon,Eugene Khmelnitsky,Konstantin Kogan Book 1998 Springer Scie

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书目名称Optimal Flow Control in Manufacturing Systems
副标题Production Planning
编辑Oded Maimon,Eugene Khmelnitsky,Konstantin Kogan
视频video
丛书名称Applied Optimization
图书封面Titlebook: Optimal Flow Control in Manufacturing Systems; Production Planning  Oded Maimon,Eugene Khmelnitsky,Konstantin Kogan Book 1998 Springer Scie
描述This book presents a unified optimal control approach to a large class of problems arising in the field of production planning and scheduling. It introduces a leading optimal flow control paradigm which results in efficient solutions for planning and scheduling problems. This book also introduces the reader to analytical and numerical methods of the maximum principle, used here as a mathematical instrument in modeling and solving production planning and scheduling problems. The book examines control of production flows rather than sequencing of distinct jobs. Methodologically, this paradigm allows us to progress from initial assumptions about a manufacturing environment, through mathematical models and construction of numerical methods, up to practical applications which prove the relevance of the theory developed here to the real world. Given a manufacturing system, the goal is to control the production, subject to given constraints, in such a way that the demands are tracked as closely as possible. The book considers a wide variety of problems encountered in actual production planning and scheduling. Among the problems are production flow sequencing and timing, capacity expansion
出版日期Book 1998
关键词Manufacturing; Manufacturing System; Optimal control; Software; mechanical engineering; modeling; numerica
版次1
doihttps://doi.org/10.1007/978-1-4757-2834-7
isbn_softcover978-1-4419-4799-4
isbn_ebook978-1-4757-2834-7Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer Science+Business Media Dordrecht 1998
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Cases of Practical Schedulingare which is based on the numerical methods presented in Chapter 7. The software has an easy graphical user interface and runs under a Windows environment. The software as well as a tutorial can be found in the disk attached to this book (see file “Readme” for details of the disk).
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Necessary Optimality Conditions for Scheduling Problemsapters of part II, analysis of the maximum principle leads to properties which the optimal solution must satisfy. Such properties provide a better understanding of the optimal behavior of a production system and facilitate construction of numerical methods for approximating the optimal solutions.
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Modeling Production Systems With Multi-Level Bills Of Materials study the area of machine scheduling problems which are typical in analyzing . (FMS). The ., traditionally concerned with machines or robots which make up modern manufacturing systems, means that each machine can be re-configured in order to produce different products over different intervals of time.
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Mathematical Fundamentals of Optimal Controlat characterize the system at each time. The state parameters vary gradually and cannot instantly jump. The evolution of the state parameters, or ., as we will call them further, obeys dynamic laws following from the nature of the system considered as a moving or evolutionary object. For example, ph
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