Response Surface Methodology: A Retrospective and Literature Survey

Myers, Raymond H.; Montgomery, Douglas C.; Vining, G. Geoffrey; Borror, Connie M.; Kowalski, Scott M.

doi:10.1080/00224065.2004.11980252

Cited by 525 publications

(284 citation statements)

References 204 publications

Supporting

Mentioning

263

Contrasting

Unclassified

Order By: Relevance

“…변재현․이기창․서판석․곽경환․장성일 한 변수만을 변화시키는 '1회 1인자(one-factor-at-a-time) 실험' 으로는 실험의 효과를 보장할 수 없고, 전문가의 지식을 바탕 으로 실험계획법을 이용하여 실험을 하고 체계적인 방법으로 분석을 해야 효율적이고 효과적으로 최적조건을 구할 수 있다 (Box et al, 2005;Montgomery, 2013;Otto and Wood, 2001 (Box et al, 2005;Khuri, 1996;Myers, 1999;Myers et al, 2004). 대표적인 방법으 로는 등고선을 이용하는 방법 (Biles, 1975), 하나를 목적함수로 삼고 나머지는 제약식에 두어 비선형 최적화 방법론을 이용하 는 방법 (Myers and Carter, 1973;Del Castillo and Montgomery, 1993), 호감도함수를 이용하는 방법 (Byun and Kim, 1998;Derringer and Suich, 1980), 손실함수를 최소화하는 접근법 (Vining, 1998;Ko et al, 2005) (Brydson, 1982).…”

unclassified

A Study on Securing Multiple Quality Requirements of New Product Using Screening Design with a Case Study

Byun¹,

Lee²,

Suh³

et al. 2017

Journal of Korean Institute of Industrial Engineers

View full text Add to dashboard Cite

For product or process design and development, it is common to optimize multiple responses (characteristics) based on experimental data. To determine optimal conditions, we need to design the experiment, estimate a proper model for each response, and optimize the multiple responses simultaneously. There are several techniques and many research results on optimizing multiple responses simultaneously, when the experimental data are available. However, the experimental design issue for optimizing multiple responses has not been discussed yet. This paper proposes some idea on how to plan screening design when requirements for multiple performance characteristics are to be met in developing new products. A screening design procedure is developed for securing the requirements of multiple responses. Initial design factors are classified into three categories; specific, non-conflicting common, and conflicting common. After screening experiments, follow-up design region search method is suggested with respect to the most unsatisfied or important response, or overall desirability. A case study on a synthesis of melamine formaldehyde resin is presented to illustrate the procedure and to show the validity of the approach. †

show abstract

unclassified

A Study on Securing Multiple Quality Requirements of New Product Using Screening Design with a Case Study

Byun¹,

Lee²,

Suh³

et al. 2017

Journal of Korean Institute of Industrial Engineers

View full text Add to dashboard Cite

show abstract

“…Aside from the direct sampling approaches described above, the general strategy of response surface modeling (Myers 1971;Morton 1983;Downing et al 1985;Kleijnen 1992;Myers 1999;Myers et al 2004) allows an indirect application of Dempster-Shafer theory and probability bounds analysis to black boxes that might often be useful and effective. Response surface modeling is widely employed in engineering to replace a black box that is too hard to study directly with a statistical model of the black box that is more amenable to detailed analysis.…”

Section: Application To Hard Black Box Modelsmentioning

confidence: 99%

“…This approach works if the evaluation cost is moderate, but it often isn't for the probabilistic models encountered in complex analyses. The regression approaches include response surface methods (Myers 1971;Morton 1983;Downing et al 1985;Kleijnen 1992;Myers 1999;Myers et al 2004), the Fourier amplitude sensitivity test (Cukier et al 1978), and logistic regression (Hosmer and Lemeshow 1989). The last of these can be used to directly estimate sensitivities of probabilities (McCarthy et al 1995).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity in risk analyses with uncertain numbers.

Tucker

Ferson

2006

View full text Add to dashboard Cite

Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques have recently been proposed for use when the model is probabilistic. This report considers the related problem of sensitivity analysis when the model includes uncertain numbers that can involve both aleatory and epistemic uncertainty and the method of calculation is Dempster-Shafer evidence theory or probability bounds analysis. Some traditional methods for sensitivity analysis generalize directly for use with uncertain numbers, but, in some respects, sensitivity analysis for these analyses differs from traditional deterministic or probabilistic sensitivity analyses. A case study of a dike reliability assessment illustrates several methods of sensitivity analysis, including traditional probabilistic assessment, local derivatives, and a "pinching" strategy that hypothetically reduces the epistemic uncertainty or aleatory uncertainty, or both, in an input variable to estimate the reduction of uncertainty in the outputs. The prospects for applying the methods to black box models are also considered.4

show abstract

“…In recent years it is being applied successfully in other scientific fields such as biology, medicine, and economy. MYERS et al (2004) has exhaustively reviewed the literature in the sense, describing the developments and applications of this methodology. Very recently, RSM has been used even to validate new experimental methods (JURADO et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Response Surface Methodology and its application in evaluating scientific activity

et al. 2008

View full text Add to dashboard Cite

The possibilities of the Response Surface Methodology (RSM) has been explored within the ambit of Scientific Activity Analysis. The case of the system "Departments of the Area of Health Sciences of the University of Navarre (Spain)" has been studied in relation to the system "Scientific Community in the Health Sciences", from the perspective of input/output models (factors/response). It is concluded that the RSM reveals the causal relationships between factors and responses through the construction of polynomial mathematical models. Similarly, quasi-experimental designs are proposed, these permitting scientific activity to be analysed with minimum effort and cost and high accuracy. PUBLICADO E SCIE TOMETRICS

show abstract

Response Surface Methodology: A Retrospective and Literature Survey

Cited by 525 publications

References 204 publications

A Study on Securing Multiple Quality Requirements of New Product Using Screening Design with a Case Study

A Study on Securing Multiple Quality Requirements of New Product Using Screening Design with a Case Study

Sensitivity in risk analyses with uncertain numbers.

Response Surface Methodology and its application in evaluating scientific activity

Contact Info

Product

Resources

About