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dc.contributor.authorKang, Keebom
dc.contributor.authorDoerr, Kenneth H.
dc.contributor.authorApte, Uday
dc.contributor.authorBoudreau, Michael
dc.date.accessioned2014-03-11T22:05:38Z
dc.date.available2014-03-11T22:05:38Z
dc.date.issued2010
dc.identifier.citationMilitary Operations Research, Vol. 15, No. 4, 2010.
dc.identifier.urihttp://hdl.handle.net/10945/39402
dc.description.abstractWe developed two integrated models to support the analysis required when outsourcing logistics services at the component-level to achieve improvements in system-level availability for a weapon system. In the decision-making environment we model, a set of investment alternatives for the improvement of component-level sparing, reliability, or maintainability are available at given costs through performance-based contractual agreements. Operational availability (Ao) is a central benefit to be obtained through such contracting, and average Ao is a typical performance measure in performance-based contracts. But average system Ao may not be a sufficient performance measure, compared to the probability that the Ao of an asset pool falls below a given planning threshold (what we call readiness risk). Investments in alternatives may be limited by budget constraints, but there is no simple commensurable unit between investment dollars and readiness benefits. Hence, we present a spreadsheet cost model and an integrated discrete-event simulation model that together makes explicit the cost and readiness implications of available alternatives, to serve as a decision support system, and to provide a common ground for discussions of tradeoffs.en_US
dc.publisherMilitary Operations Researchen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleDecision Support Models for Valuing Improvements in Component Reliability and Maintenanceen_US
dc.typeArticleen_US
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)


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