• 품질경영학회지
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• 제43권3호
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• pp.341-358
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• 2015

Purpose: This paper presents graphic methods and desirability function approach to determine best vibration reducing configuration for Surion helicopter. Many flight tests were executed and nine vibration levels in cockpit, cabin, and engine room were measured in each test and analyzed to find optimal configuration. Methods: Graphic analysis methods such as matrix, scatter, and box plots are used to identify better vibration-reducing flight test conditions. As an integrated measure of the performance of 9 vibration levels desirability function approach is adopted. Results: Three vibration reducing configurations are found to be proper and one configuration is recommended. Conclusion: It is expected to be helpful to adopt graphic and desirability function methods presented in this paper in developing new products or systems like helicopters. For efficient and effective flight testing of helicopters, it will be necessary to have consistently homogeneous environment for flight testing and applying design of experiments techniques and analyzing test data.

• International Journal of Quality Innovation
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• 제7권3호
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• pp.46-57
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• 2006

The desirability function approach to multiple response optimization is a useful technique for the analysis of experiments in which several responses are optimized simultaneously. But the existing methods have some defects, and have to be modified to some extent. This paper proposes a new method to combine the individual desirabilities.

• 한국경영과학회지
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• 제30권1호
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• pp.95-104
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• 2005

A desirability function approach to a multiresponse problem is proposed considering process parameter fluctuation which may amplify the variance of response. It is called POE (propagation of error), which is defined as the standard deviation of the transmitted variability in the response as a function of process parameters. In order to obtain more robust process parameter setting, a new desirability function is proposed by considering POE as well as distance-to-target of response and response variance. The proposed method is illustrated using a rubber product case in Ribeiro et al. (2000).

• 설비공학논문집
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• 제17권6호
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• pp.587-595
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• 2005

The heat and flow characteristics in a parallel-flow heat exchanger were examined numerically to obtain its optimal design variables. A desirability function approach was introduced to optimize its performance with respect to the design parameters over the design domain. By varying the importance of heat transfer and pressure drop which are out put variables, the optimal values of the design parameters are examined. As a result, the us-age of the desirability function is very effective for the optimization of the design variables in a heat exchanger since the changes of optimal values are physically appropriate by varying the importance of each output variable.

• 공학교육연구
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• 제21권2호
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• pp.28-38
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• 2018

This study examined the effects of entrepreneurship education on the career decision of students in the College of Engineering. The purpose of this study was to examine the perceived desirability, perceived feasibility and the career decision - making effects of career decision - making self - efficacy as subjects of entrepreneurship education. This study was carried out by using PLS 3.0 for engineering students in an university. The results of this study are summarized as follows. First, it shows that entrepreneurship education has a positive impact on perceived desirability, perceived feasibility. Second, perceived desirability and perceived feasibility have different effects on career decision making and entrepreneurship intention. Third, career decision self - efficacy affects entrepreneurship intention and career intention in career decision making. The results of this study suggest the importance of entrepreneurship education for career decision making and provide meaningful implications for educators and policy developers.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.671-680
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• 2020

This study develops the model to estimate the links between social capital, social entrepreneurial self-efficacy, perceived desirability and social entrepreneurial intention. Besides exploring the direct impacts of social capital, social entrepreneurial self-efficacy, and perceived desirability on social entrepreneurial intention, this study also focus on discovering the mediating roles of perceived desirability and social entrepreneurial self-efficacy on this relationship. Throughout adopting measures from some previous studies, the authors design the questionnaires and distribute to students in Vietnam. The study presents some demographic information of 289 students, who are studying at university and colleges in Vietnam. Then, the validity and reliability of scales are assessed using the value of Cronbach's alpha, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). In addition, by utilizing the structural modeling structure (SEM), the authors show that social capital plays the important role in shaping social entrepreneurial self-efficacy, perceived desirability, and social entrepreneurial intention. Interestingly, besides the direct effects on social entrepreneurial intention, perceived desirability and social entrepreneurial self-efficacy also mediate the correlation between social capital and social entrepreneurial intention. Also, with the interesting findings of the study, the authors propose several recommendations for policy-makers, educators and academics to promote the social entrepreneurship and innovation among Vietnamese students.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.183-188
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• 2005

Although it is widely used to find an optimum setting of manufacturing process parameters in a variety of engineering fields, the Taguchi method has a difficulty in dealing with multi-response situations in which several response variables should be considered at the same time. For example, electrode wear, surface roughness, and material removal rate are important process response variables in an electrical discharge machining (EDM) process. A simultaneous optimization should be accomplished. Many researches from various disciplines have been conducted for such multi-response optimizations. One of them is a fuzzy logic approach presented by Lin et al. [1]. They showed that two response characteristics are converted into a single performance index based upon fuzzy logic. However, it is pointed out that information regarding relative importance of response variables is not considered in that method. In order to overcome this problem, a desirability function can be adopted, which frequently appears in the statistical literature. In this paper, we propose a novel approach for the multi-response optimization by incorporating fuzzy logic into desirability function. The present method is illustrated by an EDM data of Lin and Lin [2].

• 산업경영시스템학회지
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• 제33권1호
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• pp.1-9
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• 2010

Quality design methodologies have received constituent attention from a number of researchers and practitioners for more than twenty years. Specially, the quality design for drug products must be carefully considered because of the hazards involved in the pharmaceutical industry. Conventional pharmaceutical formulation design problems with mixture experiments have been typically studied under the assumption of an unconstrained experimental region with a single quality characteristic. However, real-world pharmaceutical industrial situations have many physical limitations. We are often faced with multiple quality characteristics with constrained experimental regions. ln order to address these issues, the main objective of this paper is to propose a robust desirability function (RDF) model using a desirability function (DF) and mean square error (MSE) to simultaneously consider a number of multiple quality characteristics. This paper then present L-pseudocomponents and U-pseudocomponents to handle physical constraints. Finally, a numerical example shows that the proposed RDF can efficiently be applied to a pharmaceutical process design.

• 산업경영시스템학회지
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• 제45권4호
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• pp.99-108
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• 2022

Today, as technology advances and market competition for products intensifies, the product design to improve customer satisfaction by accurately identifying customer needs is emerging as a very important issue for company. Accordingly, the customer-oriented or customer-centered design that maximizes customer satisfaction by grasping and analyzing customer requirements is in the spotlight as an important design theory. In this study, the customer-oriented design is defined as finding the optimal value of design variable with the maximum overall customer satisfaction while minimizing the difference in individual customer satisfaction responded to various customers from multiple product quality characteristics from the perspective of robust design. Therefore, this study presents a new method for modeling the customer preference structure as the different sets of desirability functions for multiple quality characteristics and proposes a new customer-oriented design approach by applying the desirability functions to Taguchi's robust design process to deal with multi-characteristic design problem. Finally, the proposed method is illustrated with the Kansei engineering design problem of wine glass.

• 한국심리학회지 : 문화 및 사회문제
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• 제28권3호
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• pp.307-329
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• 2022

본 연구는 대인 간 관용과 불관용을 구분하여 관용과 불관용에 영향을 미치는 요인을 탐색하고자 하였다. 구체적으로 인구통계학적 변인, 사회적 바람직성, 공감(인지적 공감, 정서적 공감), 타인을 향한 자비불안, 사회신뢰, 제로섬 신념이 관용과 불관용을 예측하는지를 알아보고자 하였다. 연구대상은 전국에 거주하는 성인 445명(남성 218명, 여성 227명)으로 온라인 설문조사를 통해 자료를 얻었다. 자료분석은 인구통계학적 변인과 사회적 바람직성의 영향을 통제하기 위해 위계적 회귀분석 방법을 사용하였다. 연구결과, 관용을 유의하게 예측하는 것은 성별, 주관적 사회경제적지위, 사회적 바람직성, 인지적 공감, 사회신뢰로 나타났고, 불관용은 사회적 바람직성, 타인을 향한 자비불안, 제로섬 신념이 유의하게 예측하는 것으로 나타났다. 이를 통해 관용과 불관용의 개념이 구분되며, 각각을 예측하는 요인도 다르다는 것을 확인할 수 있었다. 따라서 관용을 높이기 위한 개입과 불관용을 낮추기 위한 개입방안을 함께 모색함으로써 다문화·다양성 사회에서 현실적인 공존방안을 마련해나갈 필요가 있을 것이다.