Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4435
Title: | Total Ownership with Life-Cycle Cost Model Under Uncertainty |
Authors: | Johnathan Mun |
Keywords: | analytical model total ownership cost TOC 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 |
URI: | https://dair.nps.edu/handle/123456789/4435 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SYM-AM-21-213.mp4 | Presentation Video | 38.85 MB | Unknown | View/Open |
SYM-AM-21-128.pdf | Presentation PDF | 1.13 MB | Adobe PDF | View/Open |
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