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Detailed maintenance planning for military systems with random lead times and cannibalization / R. Zhang, A. Ghanmi. : D68-2/165-2014E-PDF

Under peaceful conditions, operating mangers in the Canadian Armed Forces (CAF) are encouraged to dynamically find out best decisions for maintenance systems, where the word of "best" refers to the balance between operating costs and fleet reliabilities. As one of the fastest operations to recover a weapon system, especially for critical parts, cannibalization is widely used by operating managers. For example, according to the Canadian Army Divestment Plan, the CAF National Procurement reductions will constrain the CAF to prematurely divest up to half of its Heavy Logistics Vehicle Wheeled, Light Support Vehicles Wheeled, and BandVangn to maintain operational readiness to meet CAF missions. This report developed an optimization model to find the best maintenance decisions with cannibalization and presented solution approaches to the model. Operating managers would use the model to make repair decisions at the operational level over a finite number of time periods.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.807423&sl=1

Renseignements sur la publication
Ministère/Organisme
  • Defence R&D Canada.
TitreDetailed maintenance planning for military systems with random lead times and cannibalization / R. Zhang, A. Ghanmi.
Titre de la série
  • Scientific report ; 2014-R165
Type de publicationMonographie - Voir l'enregistrement principal
Langue[Anglais]
FormatTexte numérique
Document électronique
Note(s)
  • December 2014.
  • Includes bibliographical references (p. 29-31).
Information sur la publication
  • [Ottawa] : Defence Research and Development Canada, 2014.
Auteur / Contributeur
  • Zhang, R.
  • Ghanmi, Ahmed,1965-
Descriptionviii, 36, [2] p. : fig., tables.
Numéro de catalogue
  • D68-2/165-2014E-PDF
Numéro de catalogue du ministèreDRDC-RDDC-2014-R165
Descripteurs
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