A decision support model for valuing proposed improvements in component reliability

Abstract

Developing a methodology and a tool for estimating the operational availability (Ao) of a weapon system based on the component-level reliability and maintainability data is the goal of this research. Specifically, we present two spreadsheet models and one discrete-event simulation model using Arena simulation language. The first two models support lifecycle cost calculations and are static in nature. The third model incorporates the interactions among reliability, time to repair and operational availability into a discrete-event simulation model that can support a weapon-system-level risk analysis. These models are developed as proof-of-concept to demonstrate the potential methodology using hypothetical, yet realistic data.;The following article is taken as an excerpt from the proceedings of the annual Acquisition Research Program. This annual event showcases the research projects funded through the Acquisition Research Program at the Graduate School of Business and Public Policy at the Naval Postgraduate School. Featuring keynote speakers, plenary panels, multiple panel sessions, a student research poster show and social events, the Annual Acquisition Research Symposium offers a candid environment where high-ranking Department of Defense (DoD) officials, industry officials, accomplished faculty and military students are encouraged to collaborate on finding applicable solutions to the challenges facing acquisition policies and processes within the DoD today. By jointly and publicly questioning the norms of industry and academia, the resulting research benefits from myriad perspectives and collaborations which can identify better solutions and practices in acquisition, contract, financial, logistics and program management. For further information regarding the Acquisition Research Program, electronic copies of additional research, or to learn more about becoming a sponsor, please visit our program website at: www.acquisitionresearch.org. For further information on or to register for the next Acquisition Research Symposium during the third week of May, please visit our conference website at: www.researchsymposium.org.