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Capacitated planned maintenance = mo...

Kuschel, Torben.

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Capacitated planned maintenance = models, optimization algorithms, combinatorial and polyhedral properties /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Capacitated planned maintenance/ by Torben Kuschel.
其他題名:	models, optimization algorithms, combinatorial and polyhedral properties /
作者:	Kuschel, Torben.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xxix, 286 p. :ill., digital ;24 cm.
內容註:	Introduction -- The Capacitated Planned Maintenance Problem -- Known concepts and solution techniques -- The Weighted Uncapacitated Planned Maintenance Problem -- Analyzing the solvability of the Capacitated Planned Maintenance Problem -- Algorithms for the Capacitated Planned Maintenance Problem -- Computations for the Capacitated Planned Maintenance Problem -- Final remarks and future perspectives.
Contained By:	Springer eBooks
標題:	Plant maintenance - Planning. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-40289-5
ISBN:	9783319402895

Capacitated planned maintenance = models, optimization algorithms, combinatorial and polyhedral properties /
Kuschel, Torben.

Capacitated planned maintenancemodels, optimization algorithms, combinatorial and polyhedral properties /[electronic resource] :by Torben Kuschel. - Cham :Springer International Publishing :2017. - xxix, 286 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,6860075-8442 ;. - Lecture notes in economics and mathematical systems ;686..

Introduction -- The Capacitated Planned Maintenance Problem -- Known concepts and solution techniques -- The Weighted Uncapacitated Planned Maintenance Problem -- Analyzing the solvability of the Capacitated Planned Maintenance Problem -- Algorithms for the Capacitated Planned Maintenance Problem -- Computations for the Capacitated Planned Maintenance Problem -- Final remarks and future perspectives.

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.

ISBN: 9783319402895

Standard No.: 10.1007/978-3-319-40289-5doiSubjects--Topical Terms:

920934
Plant maintenance
--Planning.

LC Class. No.: TS192 / .K87 2017

Dewey Class. No.: 658.503

Capacitated planned maintenance = models, optimization algorithms, combinatorial and polyhedral properties /
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520 $a 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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