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Title: Total Ownership with Life-Cycle Cost Model Under Uncertainty
Authors: Johnathan Mun
Keywords: analytical model
total ownership cost
life cycle cost estimates
Issue Date: 19-May-2021
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Acquisition Management Presentation;SYM-AM-21-128
Acquisition Management Video;SYM-AM-21-213
Abstract: In this research, we look at answering the following primary question: Would an advanced analytical model be a more effective metric to estimate total ownership cost (TOC) with life-cycle cost under uncertainty and risk than the current method of life-cycle cost estimates for Surface EO/IR Sensors? To accomplish this, the research developed and analyzed a computational model for Total Ownership with Life-Cycle Cost Model Under Uncertainty for Surface Electro-Optical Infrared Sensors. During the development of the model, we identified the required data and examined the current Department of Defense (DoD) method for determining system life-cycle costs for defense systems and determined that the proposed model is a useful alternative to the current method of determining the life-cycle costs for EO/IR Sensors on surface ships. Finally, we concluded that the developed model can be applied to cost estimating in other sectors of DoD cost projections.
Description: Acquisition Management / Defense Acquisition Community Contributor
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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SYM-AM-21-213.mp4Presentation Video38.85 MBUnknownView/Open
SYM-AM-21-128.pdfPresentation PDF1.13 MBAdobe PDFView/Open

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