• 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.

• 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.