• Journal of the Korean Chemical Society
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• v.67 no.1
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• pp.28-32
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• 2023

The reaction conditions optimization, including the temperature of the reaction, amount of catalyst required, and reaction time for the linoleic acids (LAs) and conjugated linoleic acids (CLAs) production by catalytic dehydration of castor oil via saponification was investigated by response surface methodology (RSM). It was confirmed that all three parameters (temperature, time, and amount of catalyst) were influential factors in isolating LAs and CLAs. When the temperature was increased, the iodine value increased, and the reaction time and catalyst amount increased. The optimal reaction conditions were: 240 ℃, 2.2 h reaction time, and 7 wt% catalyst amount. The maximum iodine value reached 156.25 with 91.69% conversion to the essential fatty acids.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.193-201
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• 2015

The history of Korea Qualification system began after the Korea War. The Qualification was recognized to it's value with economic growth until the 2000. But the value of qualifications has to be re-evaluated under the current global environments. Almost Previous research has not to work for the value of qualifications all of Korea. So, This study presents a evaluation structure frame to work and some evaluation factors for the qualification value. In addition, the methodology proposed to obtain results using the AHP weights based on the evaluation methodology and questionnaire. The analysis results are used as a basis for selecting the future policy direction of the national qualification.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.431-436
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• 2006

6 Sigma uses DMAIC (Define, Measure, Analyze, Improve, Control) methodology as process of solving problem. Enterprise already propelling successfully 6 sigma such as Motorolla, GE and consulting companies leading 6 sigma also propose DMAIC methodology traditionally. But from making 6 sigma activated, enterprises and 6 sigma consulting companies propose 6 sigma methodology matching office indirection part and research and development part. As the forward example, DFSS(Design For Six Sigma) is R&D part application in GE. This study investigates 6 sigma methodology corresponding to Right Process of the kernel factor. Especially for optimum design of the R&D part, revise DFSS definition and general concept organization through Lean DFSS methodology research and analysis.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1294-1299
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• 2009

Best value in value engineering has relation to cost and performance. But a severe problem in VE study of a project is to reduce value due to loss of performance, caused by focusing on cost reduction. Also a lack of understanding performance concept, no trial VE workshop as well as cost saving-based policy have not satisfied customer needs. A efficient and practical methodology for accomplishing best value in construction projects is proposed. This study developed a more objective approach for performance measurement approach of mega projects and suggested a systematic process of performance quantitative analysis verifying value improvement. The proposed performance measurement method would be very useful for better communication and consensus between stakeholders and VE team especially through value engineering.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.415-419
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• 2015

Engineering is a value-adding process applying knowledge and skills in the construction industry that includes the planning, feasibility study, project management (PM), front end engineering and design (FEED), detail design, procurement, construction, supervision, and operation. Among these engineering activities, FEED is defined as a comprehensive design practice in the early design phase focused on conceptual design and basic design. It is a particularly influencing area that determines the competitiveness of procurement and construction capability of construction firms (KNIN 2013). Nevertheless, previous studies in FEED have been limited to the design process, deliverable, or particular management technique (e.g. system engineering, collaboration, information etc.). In this context, the purpose of this study is to propose a comprehensive FEED business process structure for project management of thermal power plant construction projects encompassing the entire project life cycle. And an assessment methodology for FEED functions was developed. It is expected that the proposed structure of FEED functions and FEED evaluation methodology will contribute to improvement of competitive capability of engineering, procurement, and construction (EPC) companies.

• Journal of the Korean Society of Systems Engineering
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• v.8 no.1
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• pp.51-62
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• 2012

The System Engineering(SE) and the Earned Value Management System(EVMS), as parts of the scientific project management methodology, have been applied to Surion Helicopter R&D Program. The concept and application process of SE methodology, requirements management and applications output by DOORS program are described in this study. The concept and application process of EVMS, analysis results of schedule/cost variance for Surion RF equipment are also discussed in this study. Though the Surion R&D program is still on-going, it is found that the measures of effectiveness of SE and EVMS applications are verified.

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.89-94
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• 2011

The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.

• Environmental Engineering Research
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• v.17 no.2
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• pp.117-122
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• 2012

A central composite design and response surface methodology were applied to investigate the optimum conditions for maximum adsorption capacity in activated alumina as an adsorbent. The optimized conditions were determined for adsorption capacity using variables of flow rate and temperature. It was found that flow rate and temperature greatly influenced the adsorption capacity, as determined by analysis of variance analysis of these variables. Statistical checks indicated that second order polynomial equations were adequate for representing the experimental values. The optimum conditions for adsorption capacity were $0^{\circ}C$ and 2,718 mL/min, with the estimated maximum adsorption capacity of 17.82%. The experimental adsorption capacity was 17.75% under these optimum conditions, which was in agreement with the predicted value of 17.82%.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.95-101
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• 1996

AHP is a competent methodology for multicriteria decision-making such as selection of technology in research laboratory, which requires the consideration of both quantitative and qualitative factors. This paper considers prioritization of technology alternatives using value functions for evaluating quantitative factors in AHP. Value functions are useful for the reducing questionars in this paper.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.2
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• pp.55-63
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• 2014

Fractures and wrinkles are two major defects frequently found in the sheet metal forming process. The process has several noise factors that cannot be ignored when determining the optimal process conditions. Therefore, without any countermeasures against noise, attempts to reduce defects through optimal design methods have often led to failure. In this study, a new and robust design methodology that can reduce the possibility of formation of fractures and wrinkles is presented using decision-making theory. A two-attribute value function is presented to form the design metric for the sheet metal forming process. A modified complex method is adopted to isolate the optimal robust design variables. One of the major limitations of the traditional robust design methodology, which is based on an orthogonal array experiment, is that the values of the optimal design variables have to coincide with one of the experimental levels. As this restriction is eliminated in the complex method, a better solution can be expected. The procedure of the proposed method is illustrated through a robust design of the sheet metal forming process of a side member of an automobile body.