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Scheduling
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Scheduling - neues Buch

ISBN: 9780792364863

ID: 6387342

This book presents a first attempt to systematically collect, classify and solve various continuous-time scheduling problems. The classes of problems distinguish scheduling by the number of machines and products, production constraints and performance measures. Although such classes are usually considered to be a prerogative of only combinatorial scheduling literature, the scheduling. This book presents a first attempt to systematically collect, classify and solve various continuous-time scheduling problems. The classes of problems distinguish scheduling by the number of machines and products, production constraints and performance measures. Although such classes are usually considered to be a prerogative of only combinatorial scheduling literature, the scheduling methodology suggested in this book is based on two mathematical tools - optimal control and combinatorics. Generally considered as belonging to two totally different areas of research and application, these seemingly irreconcilable tools can be integrated in a unique solution approach with the advantages of both. This new approach provides the possibility of developing effective polynomial-time algorithms to solve the generic scheduling problems. This book is aimed at a student audience - final year undergraduates as well as master and Ph.D. students, primarily in Operations Research, Management, Industrial Engineering and Control Systems. Indeed, some of the material in the book has formed part of the content of undergraduate and graduate courses taught at the Industrial Engineering Department of Tel-Aviv University, the Logistics Department of Bar-Ilan University and the Technology Management Department of Rolon Center for Technological Education, Israel. The book is also useful for practicing engineers interested in planning, scheduling and optimization methods. Since the book addresses the theory and design of computer-based scheduling algorithms, applied mathematicians and computer software specialists engaged in developing scheduling software for industrial engineering and management problems will find that the methods developed here can be embedded very efficiently in large applications. Books, Business, Finance and Law~~Business and Management~~Management & Management Techniques, Scheduling~~Book~~9780792364863~~Konstantin Kogan, Eugene Khmelnitsky, , , , , , , , , ,, [PU: Kluwer Academic Publishers]

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Scheduling: Control-Based Theory and Polynomial-Time Algorithms - Eugene Khmelnitsky#K. Kogan
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2000, ISBN: 9780792364863

ID: 634980497

This book presents a first attempt to systematically collect, classify and solve various continuous-time scheduling problems. The classes of problems distinguish scheduling by the number of machines and products, production constraints and performance measures. Although such classes are usually considered to be a prerogative of only combinatorial scheduling literature, the scheduling methodology suggested in this book is based on two mathematical tools - optimal control and combinatorics. Generally considered as belonging to two totally different areas of research and application, these seemingly irreconcilable tools can be integrated in a unique solution approach with the advantages of both. This new approach provides the possibility of developing effective polynomial-time algorithms to solve the generic scheduling problems. This book is aimed at a student audience - final year undergraduates as well as master and Ph.D. students, primarily in Operations Research, Management, Industrial Engineering and Control Systems. Indeed, some of the material in the book has formed part of the content of undergraduate and graduate courses taught at the Industrial Engineering Department of Tel-Aviv University, the Logistics Department of Bar-Ilan University and the Technology Management Department of Rolon Center for Technological Education, Israel. The book is also useful for practicing engineers interested in planning, scheduling and optimization methods. Since the book addresses the theory and design of computer-based scheduling algorithms, applied mathematicians and computer software specialists engaged in developing scheduling software for industrial engineering and management problems will find that the methods developed here can be embedded very efficiently in large applications. Scheduling: Control-Based Theory and Polynomial-Time Algorithms Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 31.10.2000 Buch (fremdspr.), Springer, .200

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Scheduling: Control-Based Theory and Polynomial-Time Algorithms - Eugene Khmelnitsky#K. Kogan
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Scheduling: Control-Based Theory and Polynomial-Time Algorithms This book presents a first attempt to systematically collect, classify and solve various continuous-time scheduling problems. The classes of problems distinguish scheduling by the number of machines and products, production constraints and performance measures. Although such classes are usually considered to be a prerogative of only combinatorial scheduling literature, the scheduling methodology suggested in this book is based on two mathematical tools - optimal control and combinatorics. Generally considered as belonging to two totally different areas of research and application, these seemingly irreconcilable tools can be integrated in a unique solution approach with the advantages of both. This new approach provides the possibility of developing effective polynomial-time algorithms to solve the generic scheduling problems. This book is aimed at a student audience - final year undergraduates as well as master and Ph.D. students, primarily in Operations Research, Management, Industrial Engineering and Control Systems. Indeed, some of the material in the book has formed part of the content of undergraduate and graduate courses taught at the Industrial Engineering Department of Tel-Aviv University, the Logistics Department of Bar-Ilan University and the Technology Management Department of Rolon Center for Technological Education, Israel. The book is also useful for practicing engineers interested in planning, scheduling and optimization methods. Since the book addresses the theory and design of computer-based scheduling algorithms, applied mathematicians and computer software specialists engaged in developing scheduling software for industrial engineering and management problems will find that the methods developed here can be embedded very efficiently in large applications. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-7923-6486-3, Springer

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This book presents a first attempt to systematically collect, classify and solve various continuous-time scheduling problems. The classes of problems distinguish scheduling by the number of machines and products, production constraints and performance measures. Although such classes are usually considered to be a prerogative of only combinatorial scheduling literature, the scheduling methodology suggested in this book is based on two mathematical tools - optimal control and combinatorics. Generally considered as belonging to two totally different areas of research and application, these seemingly irreconcilable tools can be integrated in a unique solution approach with the advantages of both. This new approach provides the possibility of developing effective polynomial-time algorithms to solve the generic scheduling problems. This book is aimed at a student audience - final year undergraduates as well as master and Ph.D. students, primarily in Operations Research, Management, Industrial Engineering and Control Systems. Indeed, some of the material in the book has formed part of the content of undergraduate and graduate courses taught at the Industrial Engineering Department of Tel-Aviv University, the Logistics Department of Bar-Ilan University and the Technology Management Department of Rolon Center for Technological Education, Israel. The book is also useful for practicing engineers interested in planning, scheduling and optimization methods. Since the book addresses the theory and design of computer-based scheduling algorithms, applied mathematicians and computer software specialists engaged in developing scheduling software for industrial engineering and management problems will find that the methods developed here can be embedded very efficiently in large applications. Scheduling: Control-Based Theory and Polynomial-Time Algorithms Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Scheduling - Konstantin Kogan; Eugene Khmelnitsky
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Details zum Buch
Scheduling: Control-Based Theory and Polynomial-Time Algorithms
Autor:

Kogan, Konstantin; Kogan, K.; Khmelnitsky, E.

Titel:

Scheduling: Control-Based Theory and Polynomial-Time Algorithms

ISBN-Nummer:

This book presents the first attempt to systematically collect, classify, and solve various scheduling problems which could not be solved solely by combinatorics and mathematical programming. Although control and combinatorics are generally regarded as belonging to totally different areas of research and application, this book suggests a methodology for integrating them in a unique solution approach which draws upon the advantages of both mathematical tools. In this book, the reader will find a great number of fast, easy-to-implement algorithms for various production environments which current scheduling literature has not covered. Audience: This book is aimed at final-year undergraduates as well as Master and Ph.D. students, primarily in operations research, management, industrial engineering, and control systems. The book is also useful for practising engineers interested in planning, scheduling, and optimization methods. Since the book addresses the theory and design of computer-based scheduling algorithms, applied mathematicians and computer software specialists engaged in developing scheduling software for industrial engineering and management problems will find that the methods developed in the book can be embedded very efficiently in large applications.

Detailangaben zum Buch - Scheduling: Control-Based Theory and Polynomial-Time Algorithms


EAN (ISBN-13): 9780792364863
ISBN (ISBN-10): 0792364864
Gebundene Ausgabe
Erscheinungsjahr: 2000
Herausgeber: Springer-Verlag GmbH
412 Seiten
Gewicht: 0,777 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 07.04.2007 12:17:49
Buch zuletzt gefunden am 03.04.2017 00:46:50
ISBN/EAN: 9780792364863

ISBN - alternative Schreibweisen:
0-7923-6486-4, 978-0-7923-6486-3


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