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Spare parts inventory control under ...

Houtum, Geert-Jan van.

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Spare parts inventory control under system availability constraints

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spare parts inventory control under system availability constraints/ by Geert-Jan van Houtum, Bram Kranenburg.
作者:	Houtum, Geert-Jan van.
其他作者:	Kranenburg, Bram.
出版者:	Boston, MA :Springer US : : 2015.,
面頁冊數:	xv, 215 p. :ill., digital ;24 cm.
內容註:	Introduction -- Basic Multi-Item, Single-Location Inventory Model -- Multiple Machine Types with Commonality -- Service Differentiation -- Multi-Location System with Lateral Transshipments -- Two-Echelon System -- Multi-Echelon, Multi-Indenture System -- Static Repair Priorities.
Contained By:	Springer eBooks
標題:	Inventory control. -
電子資源:	http://dx.doi.org/10.1007/978-1-4899-7609-3
ISBN:	9781489976093 (electronic bk.)

Spare parts inventory control under system availability constraints
Houtum, Geert-Jan van.

Spare parts inventory control under system availability constraints[electronic resource] /by Geert-Jan van Houtum, Bram Kranenburg. - Boston, MA :Springer US :2015. - xv, 215 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2270884-8289 ;. - International series in operations research & management science ;89..

Introduction -- Basic Multi-Item, Single-Location Inventory Model -- Multiple Machine Types with Commonality -- Service Differentiation -- Multi-Location System with Lateral Transshipments -- Two-Echelon System -- Multi-Echelon, Multi-Indenture System -- Static Repair Priorities.

This book focuses on the tactical planning level for spare parts management. It describes a series of multi-item inventory models and presents exact and heuristic optimization methods, including greedy heuristics that work well for real, life-sized problems. The intended audience consists of graduate students, starting scholars in the field of spare parts inventory control, and spare parts planning specialists in the industry. In individual chapters the authors consider topics including: a basic single-location model; single-location models with multiple machine types and/or machine groups; the multi-location model with lateral transshipments; the classical METRIC model and its generalization to multi-indenture systems; and a single-location model with an explicit modeling of the repair capacity for failed parts and the priorities that one can set there. Various chapters of the book are used in a master course at Eindhoven University of Technology and in a PhD course of the Graduate Program Operations Management and Logistics (a Dutch network that organizes PhD courses in the field of OM&L) The required pre-knowledge consists of probability theory and basic knowledge of Markov processes and queuing theory. End-of-chapter problems appear for all chapters, with some answers appearing in an appendix.

ISBN: 9781489976093 (electronic bk.)

Standard No.: 10.1007/978-1-4899-7609-3doiSubjects--Topical Terms:

646359
Inventory control.

LC Class. No.: TS160

Dewey Class. No.: 658.787

Spare parts inventory control under system availability constraints
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520 $a This book focuses on the tactical planning level for spare parts management. It describes a series of multi-item inventory models and presents exact and heuristic optimization methods, including greedy heuristics that work well for real, life-sized problems. The intended audience consists of graduate students, starting scholars in the field of spare parts inventory control, and spare parts planning specialists in the industry. In individual chapters the authors consider topics including: a basic single-location model; single-location models with multiple machine types and/or machine groups; the multi-location model with lateral transshipments; the classical METRIC model and its generalization to multi-indenture systems; and a single-location model with an explicit modeling of the repair capacity for failed parts and the priorities that one can set there. Various chapters of the book are used in a master course at Eindhoven University of Technology and in a PhD course of the Graduate Program Operations Management and Logistics (a Dutch network that organizes PhD courses in the field of OM&L) The required pre-knowledge consists of probability theory and basic knowledge of Markov processes and queuing theory. End-of-chapter problems appear for all chapters, with some answers appearing in an appendix.
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