Show simple item record

ASRSM: A Sequential Experimental Design for Response Surface Optimization

dc.contributor.authorAlaeddini, Adelen_US
dc.contributor.authorYang, Kaien_US
dc.contributor.authorMurat, Alperen_US
dc.date.accessioned2013-03-05T18:18:02Z
dc.date.available2014-05-01T14:28:12Zen_US
dc.date.issued2013-03en_US
dc.identifier.citationAlaeddini, Adel; Yang, Kai; Murat, Alper (2013). "ASRSM: A Sequential Experimental Design for Response Surface Optimization." Quality and Reliability Engineering International 29(2): 241-258. <http://hdl.handle.net/2027.42/96749>en_US
dc.identifier.issn0748-8017en_US
dc.identifier.issn1099-1638en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/96749
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherOptimal Designsen_US
dc.subject.otherResponse Surface Optimizationen_US
dc.subject.otherCentral Composite Design (CCD)en_US
dc.subject.otherDesign of Experimentsen_US
dc.subject.otherAdaptive Sequential Experimenten_US
dc.titleASRSM: A Sequential Experimental Design for Response Surface Optimizationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/96749/1/qre1306.pdf
dc.identifier.doi10.1002/qre.1306en_US
dc.identifier.sourceQuality and Reliability Engineering Internationalen_US
dc.identifier.citedreferenceCzitrom V. One‐factor‐at‐a‐time versus designed experiments. The American Statistician 1999; 53 ( 2 ): 126 – 131.en_US
dc.identifier.citedreferenceWang G. Adaptive response surface method using inherited Latin hypercube designs. ASME Journal of Mechanical Design 2003; 125 ( 2 ): 210 – 220.en_US
dc.identifier.citedreferenceStander N. The Successive response surface method applied to sheet‐metal forming. In Proceedings of the First MIT Conference on Computational Fluid and Solid Mechanics, Boston, June 12–14, 2001; Elsevier Science Ltd: Oxford.en_US
dc.identifier.citedreferenceBox GEP, Draper NR. Evolutionary Operation: A Method for Increasing Industrial Productivity. John Wiley and Sons: NY, 1969.en_US
dc.identifier.citedreferenceHettmansperger TP, McKean JW. Robust Nonparametric Statistical Methods. Arnold/Wiley: London and New York, N.Y., 1998.en_US
dc.identifier.citedreferenceMyers RH, Khuri AI, Carter WH. Response surface methodology: 1966–1988. Technometrics 1989; 31: 137 – 157.en_US
dc.identifier.citedreferenceMyers RH, Montgomery DC, Vining CG, Borror CM, Kowalski SM. Response surface methodology: a retrospective and literature survey. Journal of Quality Technology 2004; 36: 53 – 77.en_US
dc.identifier.citedreferenceBox GEP, Behnken DW. Some new three level design for the study of quantitative variables. Technometrics 1960; 2: 455 – 476.en_US
dc.identifier.citedreferenceMontgomery DC. Design and Analysis of Experiments ( 7th edn ). John Wiley & Sons: NJ, 2008.en_US
dc.identifier.citedreferenceKiefer J. Optimum experimental designs. Journal of the Royal Statistical Society B 1959; 21: 272 – 304.en_US
dc.identifier.citedreferenceKiefer J. Optimum designs in regression problems. Annals of Mathematical Statistics 1961; 32: 298 – 325.en_US
dc.identifier.citedreferenceKiefer J, Wolfowitz J. Optimum designs in regression problems. Annals of Mathematical Statistics 1959; 30: 271 – 294.en_US
dc.identifier.citedreferencePukelsheim F. Optimal Design of Experiments. Society for Industrial and Applied Mathematics, (SIAM): Philadelphia, PA, 2006.en_US
dc.identifier.citedreferenceBox GEP. Evolutionary operation: a method for increasing industrial productivity. Applied Statistics 1957; 6: 81 – 101.en_US
dc.identifier.citedreferenceBox GEP, Hunter WG, Hunter JS. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. John Wiley and Sons: NY, 1978.en_US
dc.identifier.citedreferenceFrey DD, Jugulum R. The mechanisms by which adaptive one‐factor‐at‐a‐time experimentation leads to improvement. ASME Journal of Mechanical Design 2006; 128: 1050 – 1060.en_US
dc.identifier.citedreferenceFrey DD, Wang H. Adaptive one‐factor‐at‐a‐time experimentation and expected value of improvement. Technometrics 2006; 48 ( 3 ): 418 – 431.en_US
dc.identifier.citedreferenceJones DR. A taxonomy of global optimization methods based on response surfaces. Journal of Global Optimization 2001; 21 ( 4 ): 345 – 383.en_US
dc.identifier.citedreferenceSobieszczanski‐Sobieski J, Haftka RT. Multidisciplinary aerospace design optimization: survey of recent developments. Structural and Multidisciplinary Optimization 1997; 14 ( 1 ): 1 – 23.en_US
dc.identifier.citedreferenceSimpson TW, Booker AJ, Ghosh D, Giunta AA, Koch PN, Yang RJ. Approximation methods in multidisciplinary analysis and optimization: a panel discussion. Structural and Multidisciplinary Optimization 2004; 27 ( 5 ): 302 – 313.en_US
dc.identifier.citedreferenceWalters FS, Parker Jr LR, Morgan SL, Deming SN. Sequential Simplex Optimization for Quality & Productivity in Research, Development, and Manufacturing. CRC Press: FL, 1991.en_US
dc.identifier.citedreferenceSeber GAF, Alan JL. Linear Regression Analysis. Wiley Interscience: NJ, 2003.en_US
dc.identifier.citedreferenceMao H, Zhang L, Yang KH, King AI. Application of a finite element model of the brain to study traumatic brain injury mechanisms in the rat. Stapp Car Crash Journal 2006; 50: 583 – 600.en_US
dc.identifier.citedreferenceSpendley GR, Hex GR, Himsworth FR. Sequential application of simplex designs in optimization and evolutionary operation. Technometrics 1962; 4: 441 – 461.en_US
dc.identifier.citedreferenceGramacy RB, Lee HKH. Adaptive design and analysis of supercomputer experiments. Technometrics 2009; 51 ( 2 ): 130 – 145.en_US
dc.identifier.citedreferenceGu L. A comparison of polynomial based regression models in vehicle safety analysis. In American Society of Mechanical Engineers Design Engineering Technical Conferences—Design Automation Conference, Diaz A (ed). American Society of Mechanical Engineers: New York, 2001, Paper No. DETC2001/DAC‐21063.en_US
dc.identifier.citedreferenceBox GEP. Statistics as a catalyst to learning by scientific method: part II—a discussion. Journal of Quality Technology 1999; 31 ( 1 ): 16 – 29.en_US
dc.identifier.citedreferenceMyers RH. Response surface methodology—current status and future directions. Journal of Quality Technology 1999; 31: 30 – 44.en_US
dc.identifier.citedreferenceBox GEP, Wilson KB. On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society 1951; 13: 1 – 15.en_US
dc.identifier.citedreferenceFriedman M, Savage LJ. Planning experiments seeking maxima. In Techniques of Statistical Analysis, Eisenhart C, Hastay M, Wallis WA (eds). McGraw‐Hill: NY, 1947; 363 – 372.en_US
dc.identifier.citedreferenceDaniel C. One‐at‐a‐time plans. Journal of the American Statistical Association 1973; 68: 353 – 360.en_US
dc.identifier.citedreferenceFrey DD, Engelhardt F, Greitzer EM. A Role for one factor at a time experimentation in parameter design. Research in Engineering Design 2003; 14: 65 – 74.en_US
dc.identifier.citedreferenceWang G, Dong Z, Aitchison P. Adaptive response surface method—a global optimization scheme for computation‐intensive design problems. Journal of Engineering and Optimization 2001; 33 ( 6 ): 707 – 734.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.