• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.3
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• pp.309-316
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• 2009

The risk management is a method to identify and to handle risk factors. In this paper, we introduce a methodology that can be used to measure of system's performance risk by combining system's TPM(technical performance measures) in the R&D(research and development) program for defense acquisition. By applying the suggested procedure, we can monitor risk trends in R&D program by calculation of system's overall TPM and find out where management should target to reduce or remove the system's performance risk.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4163-4170
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• 2013

The recent studies indicated that the major sources of the failure in carrying out the programs of weapon systems development would be the unsatisfaction of the required key performance and also the use of premature technology. As such, to manage the risk during the weapon systems development, the use of the technical performance measurement (TPM) and the technology maturity assessment (TMA) turned out to be necessary. However, the TPM studied so far seems to cover the assessment of performance at the component level only, and thus is insufficient in considering the system integration effect. On the other hand, the system readiness level (SRL) method has been presented by reflecting the effect on system integration, but the system performance and maturity has not been considered. To overcome this, a measurement method is proposed in the paper by utilizing the combined system readiness level and achieved technical performance at the system level. This system performance measure can be useful in managing the risk in the weapon systems development.

• Journal of the Korean Society of Systems Engineering
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• v.5 no.1
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• pp.49-56
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• 2009

This research attempts to acquire technical performance measure information based on identifying the Critical To Quality(CTQ) parameters of user requirement by using Quality Function Deployment(QFD) methodology in the initial phase of a defense R&D project. This results will contribute to the integration of technical progress to the Work Breakdown Structure(WBS) based project performance tracking. It also improve the bridging of systems engineering activities to the project management and the project decision making process.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.58-67
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• 2020

A big data processing method to predict solar power generation using systems engineering approach is developed in this work. For developing analytical method, linear model (LM), support vector machine (SVN), and artificial neural network (ANN) technique are chosen. As evaluation indices, the cross-correlation and the mean square root of prediction error (RMSEP) are used. From multi-variable comparison test, it was found that ANN methodology provides the highest correlation and the lowest RMSEP.

• Transactions of the KSME C: Technology and Education
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• v.1 no.2
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• pp.199-204
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• 2013

In this paper, a new system requirement management tool and its application on the Urban Transit Maglev Project were introduced. In most R&D projects on complexity system such as transportation system, Systems Engineering(SE) activities are included on each project, and SE teams are using commercial computer-based tools to perform the SE activities. Even though SE tools help to manage huge data and documents on engineering efficiently, but well-designed functions of SE tools which support SE activities are not sufficiently used on the whole process of system engineering. In order to computer-based SE tools are to be effectively used on project management, most engineers who takes engineering and coordination roles, at least sub-project managers should be familiar to the tool and could be easily use it, but usability of commercial SE tools are very difficult for normal engineers with no experience on SE activities and SE tools. To overcome this difficulty, we developed a new system requirement management tool considering each user's scenario on using engineering tools. The developed tool could not cover whole SE processes, but designed to perform requirement engineering such as system requirements(SRs) management, specification management, traceability management, SRs' verification activity management and so on. All the entities on SR database are inter-connected by pre-recognized traceabilities, so even non-specialists on SE can easily browse the database and find entities concern, and linked information such as interacted entities, legal or engineering constraints, coordination documents, status of development and verification and so on. Also functions for SR verification tools, TPM(Technical Performance Measure) tools, DB searching tools with traceability, and report generation tools are included on the system.