A simulation of readiness-based sparing policies
Wray, John D.
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We develop a simulation to complement a new optimization tool that establishes inventory levels for aviation weapon systems (WS) in the U.S. Navy. The optimization seeks cost minimization while achieving required readiness rates for hundreds of WS, each comprising thousands of indentured parts. Based on work in similar realms, the optimization employs the Vari-Metric model and a variant of a greedy heuristic algorithm to set stock levels and estimate overall WS availability. Our discrete event simulation is then used to test the assumptions of the new optimization tool, compare its performance to other optimization tools available, and provide additional metrics for decision makers. In testing the new optimization tool, we find that (a) there is no systemic bias in estimated readiness; and (b) 53 of 64 WS simulated yield results within 5% difference, with a worst-case difference of 8%. We also test two legacy optimization tools currently in use by the Navy and find they have a larger difference in expected readiness. Finally, we demonstrate additional insights and metrics from the simulation that are not available in the optimization tools.
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.
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Kang, Keebom; Sanchez, Susan M.; Doerr, Kenneth H. (2006-09-01); NPS-LM-06-037We develop a simulation model to aid in identifying and evaluating promising alternatives to achieve improvements in weapon system-level availability when outsourcing logistics services for system components. Two outcomes ...
Sanchez, Susan M.; Kang, Keebom; Doerr, Kenneth (2006);We develop a simulation model to aid in identifying and evaluating promising alternatives to achieve improvements in weapon system-level availability when services for system components are outsourced. Two outcomes are ...
Cabe, Paul M. (Monterey, CA; Naval Postgraduate School, 2020-09);Readiness Based Sparing (RBS) models support the life cycle of any system through the optimization of stock allowance levels. Optimal RBS results are essential to maintain fleet readiness at an acceptable cost. Naval ...