• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2009년도 추계학술대회
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• pp.565-572
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• 2009

This paper presents the optimization steps with weight and importance of estimated characteristic values in the multiresponse surface analysis(MRA). The research introduces the shape parameter of individual desirability function for relaxation and tighening of specification bounds. The study also proposes the combinded desirability function using arithmetic, geometric and harmonic means considering the measurement unit and numerical pattern.

• Journal of the Korean Data and Information Science Society
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• 제16권2호
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• pp.255-261
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• 2005

Many designed experiments require the simultaneous optimization of multiple responses. In this paper, we propose how to simultaneously optimize multiple responses for robust design when data are collected from a combined array. The proposed method is based on the quadratic loss function. An example is illustrated to show the proposed method.

• 대한산업공학회지
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• 제39권5호
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• pp.342-350
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• 2013

Dual response surface optimization (DRSO), inspired by Taguchi's philosophy, attempts to optimize the process mean and variability by using response surface methodology. Researches on DRSO were extensively done in 1990's and have been matured recently. This paper reviews the existing DRSO methods from the decision making perspective. More specifically, this paper classifies the existing DRSO methods based on the optimization criterion and the timing of preference articulation. Also, some of case studies are reviewed. Extension to multiresponse optimization, triple response surface optimization, and application of data mining method are suggested as future research issues.

• 품질경영학회지
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• 제25권1호
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• pp.56-68
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• 1997

The object of multiresponse optimization is to determine conditions on hte independent variables that lead to optimal or nearly optimal values of the response variables. Derringer and Suich (1980) extended Harrington's (1965) procedure by introducing more general transformations of the response into desirability functions. The core of the desirability a, pp.oach condenses a multivariate optimization into a univariate one. But because of the subjective nature of this a, pp.oach, inexperience on the part of the user in assessing a product's desirability value may lead to inaccurate results. To compensate for this defect, a weighted desirability function is introduced which takes into consideration the vriances of the responses.

• 품질경영학회지
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• 제33권1호
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• pp.64-72
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• 2005

The ever increasing demand for enhanced competitiveness of engineered products requires "designing-in-quality" strategies that can effectively and efficiently incorporate concepts of uncertainty and quality into design. Multi-attribute utility function is commonly used to represent the decision-maker's preference on multiple design attributes under conditions of uncertainty and risk. One of the major issues in implementing this approach concerns the generation of appropriate utility function, especially in a complex engineering design environment. Typically, the decision maker's preference is revealed through lottery questions rather than being structured on the deductive reasoning to reflect the nonlinear tradeoffs among the attributes. The use of such intuitive procedures can lead to inexact preference information that may result in inaccuracy and rank reversal problems. This paper presents an alternative procedure based on the pair-wise comparisons between design alternatives towards a consistent preference presentation in assessing multiplicative utility function. The effectiveness of the overall procedures is tested with the aid of an injection-molding process design for a capacitor can and the results are discussed.

• 통합자연과학논문집
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• 제6권1호
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• pp.39-45
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• 2013

Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. In the Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was studied. In these studies, only single quality characteristic (or response) was considered. In this paper we propose how to simultaneously optimize for multiple quality characteristics (or multiresponse) using desirability function when we used the combined-array approach to assign control and noise factors.

• 지식경영연구
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• 제20권3호
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• pp.39-47
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• 2019

Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.

• 대한기계학회논문집A
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• 제40권3호
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• pp.317-326
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• 2016

본 연구에서는 한국형 PRT차량의 주행안정성 및 승차감 향상을 위해 현가장치 최적화를 진행하였다. ISO 3888(Double Lane Change Test)를 통하여 주행안정성을 분석하고 ISO 2631-1을 이용하여 승차감 분석을 진행하였다. 이를 통해 주행안정성과 승차감에 대하여 다중반응표면법을 적용하여 현가장치 최적화를 진행하였다. 그 결과 모든 반응함수가 초기설계치보다 모두 개선되는 만족함수의 비율은 3.9 : 6.1이며, 이때 현가장치의 특성은 Stiffness의 경우 S2와 S3 model의 사이 값인 30.68 N/mm과 Damping 계수의 경우 D1 model의 값을 갖는다. 초기설계인 현재 PRT차량의 현가장치와 비교했을 때, 최적화된 PRT 현가장치 설계는 Roll angle와 Yaw rate는 0.37%, Side slip angle은 2.8%, Ride comfort는 5% 향상된다.

• 한국산림과학회지
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• 제98권1호
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• pp.94-105
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• 2009

아까시나무 임분은 우리나라 저지대에 주로 조성되어 있는 도입종 조림지로서, 인위적 또는 자연적 교란, 그리고 입지조건에 의해 온전한 숲의 종조성을 나타내지 못하고 있으며, 천이가 느리거나 정체되어 있다. 또한 그것의 개체들이 인접 자연림으로 침투하고 있는 문제점이 있다. 따라서, 아까시나무 임분에서의 천이를 촉진시켜 자연 식생을 회복시킬 필요가 있다. 복원 실험은 경상북도 포항시 용흥동의 아까시나무 임분에서 작은 숲틈(${\sim}57m^2$)을 조성하여 실시하였고, $5 m{\times}5m$ 방형구 내에서, 벌채 및 하층 식생 제거(CU), 벌채(C), 환상박피 및 하층 식생 제거(GU), 환상박피 (G) 및 대조구(Control)의 5개 실험구를 3반복으로 설치하였다. 각 처리구 별 수관 열림도(%), 빛(total estimated transmitted light, $mol{\cdot}m^{-1}{\cdot}day^{-1}$), 목표 종(졸참나무)의 생장(직경, 높이 및 엽면적)을 측정하였다. 하층식생의 반응(종조성 및 종다양성)은 각 처리구에 영구 소방형구를 설치하여 측정하였고, 피도변화, Multiresponse Permutation Procedures (MRPP) 및 Detrended Correspondence Analysis(DCA)를 통하여 분석하였다. 숲틈 조성 후, 광환경은 처리구 별로 뚜렷한 차이를 나타내지 않았고, 수관 열림도는 CU, C, GU, G, Control의 순으로 높았다. 졸참나무 유묘의 생존은 수고 및 엽면적 생장과 유의한 상관을 나타내었다. 목표 종의 생장은 대조구와 비교하여 처리 후 증가하였다. 하층식생의 종조성 및 종다양성은 유의한 변화를 나타내지 않았지만, 후자의 경우 약간 감소하였고, 각 소방형구의 총 피도는 약간 증가하였다. 아까시나무림에 대한 생태적 복원의 한 방법으로서 작은 규모의 숲틈을 조성한 결과, 급격한 환경 변화를 발생시키지 않았고, 수고 생장을 촉진할 수 있는 가능성을 나타내었다. 복원 교란에 대한 하층식생의 반응은 연구지역의 특성을 반영하는 것으로 생각된다. 본 연구의 결과는 장기적인 관찰이 필요하며, 최소한의 교란을 통한 삼림 관리 및 복원 기법으로 발전할 수 있는 가능성을 보였다.