Advanced Models for Manufacturing Systems Management

Advanced Models for Manufacturing Systems Management

Editorial Reviews
Book Description
This book presents the mathematical models applicable to manufacturing systems management, covering problems from production to real time control. It explores manufacturing systems from the viewpoints of both physical structure and performance measures. Two broad classes of mathematical models are covered in detail:oGenerative models, which yield a set of decision variables optimizing a performance measure, based on mathematical optimizationoEvaluative models, which evaluate some performance measures as a function of some predefined decision strategy. Within this class Petri Nets and Queueing Networks are discussed.Advanced Models for Manufacturing Systems Management describes dynamic systems modeling by state equations, a unifying framework for a wide variety of models. The text/reference stresses model building, but it examines model solving as well. Computational techniques are illustrated, such as linear programming, branch and bound methods, and dynamic programming. Particular emphasis is given to the development of heuristic methods from mathematical models.The book provides readers with valuable tools for management and design. The use of descriptive models within an optimization algorithm is considered. Numerous examples illustrate theoretical concepts throughout text. Appendices are given at the end of the book in order to recall fundamentals, such as linear programming and graph theory. Appendices also appear within each chapter. In this way, readers can follow the main reading path without getting involved with details; these appendices can be read at a later time. This textual structure makes this book particularly well suited for self-study. Advanced Models for Manufacturing Systems Management is beneficial reading for both students and practitioners.

Advanced Models for Manufacturing Systems Management,A Villa,CRC,0849383323,Applied,Engineering - Industrial,Management - General,Mathematical Models,Production Engineering,Production management,Science/Mathematics,Technology & Industrial Arts,Mathematical modelling,Mathematics / General,Mathematics for scientists & engineers,Production & quality control management

Books Info:

1. Advances in Stochastic Models for Reliability, Quality and Safety (Statistics for Industry and Technology)
2. Algorithms for Linear-quadratic Optimization (Pure and Applied Mathematics (Marcel Dekker))
3. An Introduction to Multicomplex Spaces and Functions (Pure and Applied Mathematics (Marcel Dekker))
4. A Practical Guide to Heavytails : Statistical Techniques for Analyzing Heavy-Tailed Distributi ons
5. A Sampler of Riemann-Finsler Geometry (Mathematical Sciences Research Institute Publications)
6. Asymptotic Analysis and the Numerical Solution of Partial Differential Equations (Lecture Notes in Pure and Applied Mathematics)
7. Automorphisms of Surfaces after Nielsen and Thurston (London Mathematical Society Student Texts)
8. Bilateral Bargaining : Theory and Applications (Lecture Notes in Economics and Mathematical Systems)
9. Boundary Elements: Theory and Applications
10. Calculus in Vector Spaces (Pure and Applied Mathematics (Marcel Dekker))

Books Info

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