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| 02125nam 2200313za 4500 |
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| 001 | 9.807423 |
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| 003 | CaOODSP |
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| 005 | 20240219183357 |
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| 007 | cr ||||||||||| |
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| 008 | 150723s2014 onc ob f000 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aD68-2/165-2014E-PDF |
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| 100 | 1 |aZhang, R. |
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| 245 | 10|aDetailed maintenance planning for military systems with random lead times and cannibalization |h[electronic resource] / |cR. Zhang, A. Ghanmi. |
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| 260 | |a[Ottawa] : |bDefence Research and Development Canada, |c2014. |
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| 300 | |aviii, 36, [2] p. : |bfig., tables. |
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| 490 | 1 |aScientific report ; |v2014-R165 |
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| 500 | |aDecember 2014. |
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| 504 | |aIncludes bibliographical references (p. 29-31). |
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| 520 | |aUnder 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. |
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| 692 | 07|2gccst|aMilitary technology |
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| 692 | 07|2gccst|aWeapons |
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| 692 | 07|2gccst|aMaintenace |
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| 700 | 1 |aGhanmi, Ahmed,|d1965- |
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| 710 | 2 |aDefence R&D Canada. |
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| 830 | #0|aScientific report (Defence R&D Canada)|v2014-R165|w(CaOODSP)9.802305 |
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| 856 | 40|qPDF|s628 KB|uhttps://publications.gc.ca/collections/collection_2015/rddc-drdc/D68-2-165-2014-eng.pdf |
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