• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.4
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• pp.612-618
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• 2010

In order to successfully manage of the state-of-the-art weapon system R&D program which are under the limited budget and schedule but also has a high level of technical risks, it is gaining weights to use such a scientific program management tool as TPM. Therefore, the purpose of this research is to review the concept of the TPM and its relation among MOE, MOP and TPM, and introduce an application method of TPM mainly focusing on helicopter development program. It has the organized structure, detailed procedure and 282 parameters for performance management through the TPM.

• Journal of the military operations research society of Korea
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• v.36 no.1
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• pp.77-90
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• 2010

Adapting commercial equipments to military operations may provide the advantage of low cost, reduced acquisition time, and technology advancement. On the other hand, it may also offer the opportunity for a reliability and logistics risk because commercial products, standards, and practices may not meet military requirements. In addition to this, commercial vendors have little experience in providing the technical data required to support military deployment logistics. As more companies are equipped with data aquisition systems for their products, considerable amount of field warranty data has been accumulated. Typically, the field data for a given product comprise with the sales volume and the number of the claims for each period. Three types of product data are considered in this study: military designed equipment operating in a military environment, commercial equipment operating in a military environment, and commercial equipment operating in a commercial environment. We construct a estimation model for each type of data and propose an reliability transform method from a commercial environment to a military environment. Parametric methods for estimating the product reliability are proposed based on maximum likelihood criteria and least square criteria. Then a reliability transform procedure for handling different types of data is proposed in a consistent fashion. A case study is investigated to characterize our model based on a real field warranty data set.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.120-129
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• 2020

This paper aims to benchmark the United States' LRIP, the country's initial production policy, and provide a Korean version of such policy which reflects the circumstances of the country's weapon system research & development(R&D) and acquisition procedures. The research suggests measures to improve the country's initial production policy in a direction that the policy could execute two stage continuously: (1) employment test & evaluation(OT&E), conducted on prototypes during the development stage, and (2) field employment tests(FT), conducted on initial products during the production stage. In addition, the research provides an equation calculating the optimal number of initial test products to be produced, applying statistical theories of t-distribution. The research aims to be used a reference to calculate the optimal number of initial products to be produced for testing in order to improve future national defense acquisition systems and the stable R&D of weapons systems.