Capacitated planned maintenance : models, optimization algorithms, combinatorial and polyhedral properties
This book examines the problem of maintenance planning and scheduling in industrial production systems. It presents two practically relevant, deterministic mathematical models: the capacitated planned maintenance problem (CPMP) and the weighted uncapacitated planned maintenance problem (WUPMP). It i...
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| Main Author | |
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| Format | Electronic eBook |
| Language | English |
| Published |
Switzerland :
Springer Verlag,
[2017]
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| Series | Lecture notes in economics and mathematical systems.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9783319402895 9783319402888 |
| Physical Description | 1 online resource (309 pages) |
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| Summary: | This book examines the problem of maintenance planning and scheduling in industrial production systems. It presents two practically relevant, deterministic mathematical models: the capacitated planned maintenance problem (CPMP) and the weighted uncapacitated planned maintenance problem (WUPMP). It introduces specific optimization algorithms such as construction heuristics, Lagrangean and tabu search metaheuristics. A problem independent hybrid approach links and alternates between two Lagrangean relaxations. It also analyzes the solvability with respect to the computational complexity of several problem classes, polyhedral properties and lower bounds. Computational studies demonstrate the performance of the heuristics, lower bounds, subgradients obtained from heuristics and the quality of dual information. This unique book includes implementation details and an introduction to the necessary theory making it suitable for upper undergraduate students. |
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| Item Description: | 6.3.2.1 Initial Extended Cover Inequalities. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783319402895 9783319402888 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (309 pages) |