Academic literature on the topic 'Confounded fractional factorials design'
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Journal articles on the topic "Confounded fractional factorials design"
Kramer, Keith E., and G. Morris Southward. "Fractional Factorials in Psychology: An: Examination of the Basis for the Holistic Approach." Proceedings of the Human Factors Society Annual Meeting 29, no. 10 (October 1985): 924–26. http://dx.doi.org/10.1177/154193128502901005.
Full textDülmer, Hermann. "The Factorial Survey." Sociological Methods & Research 45, no. 2 (April 27, 2015): 304–47. http://dx.doi.org/10.1177/0049124115582269.
Full textRosenbaum, Paul R. "Dispersion Effects from Fractional Factorials in Taguchi's Method of Quality Design." Journal of the Royal Statistical Society: Series B (Methodological) 56, no. 4 (November 1994): 641–52. http://dx.doi.org/10.1111/j.2517-6161.1994.tb02005.x.
Full textKUMAR, PRAKASH, KRISHAN LAL, ANIRBAN MUKHERJEE, UPENDRA KUMAR PRADHAN, MRINMOY RAY, and OM PRAKASH. "Advanced row-column designs for animal feed experiments." Indian Journal of Animal Sciences 88, no. 4 (January 5, 2023): 499–503. http://dx.doi.org/10.56093/ijans.v88i4.78895.
Full textRIBEIRO, Paulo César Moraes, Matheus Pena CAMPOS, Leila Aparecida Salles PIO, and Júlio Sílvio de Sousa BUENO FILHO. "FRACTIONAL FACTORIALS IN A CASE STUDY NUTRITION EXPERIMENT WITH BANANA TREES." REVISTA BRASILEIRA DE BIOMETRIA 37, no. 3 (September 26, 2019): 335. http://dx.doi.org/10.28951/rbb.v37i3.402.
Full textRajarathinam, A., A. Radhika, and C. C. Gujarathi. "CONSTRUCTION OF SOME BALANCED BINARY VARIANCE BALANCED BLOCK DESIGN BASED ON FRACTIONAL FACTORIALS." Far East Journal of Theoretical Statistics 52, no. 1 (March 18, 2016): 17–33. http://dx.doi.org/10.17654/ts052010017.
Full textDwornicka, Renata, and Jacek Pietraszek. "The outline of the expert system for the design of experiment." Production Engineering Archives 20, no. 20 (September 1, 2018): 43–48. http://dx.doi.org/10.30657/pea.2018.20.09.
Full textBisgaard, Soren. "A Comparative Analysis of the Performance of Taguchi's Linear Graphs for the Design of Two-Level Fractional Factorials." Applied Statistics 45, no. 3 (1996): 311. http://dx.doi.org/10.2307/2986090.
Full textU, Ali H., Lasisi K. E., and Nwaosu S. C. "Comparing The Performance of Bayesian And Frequentist Analysis Methods of Irregular Fractional Factorials Using Design Based optimality And Efficiency Criteria." IOSR Journal of Mathematics 13, no. 03 (July 2017): 68–72. http://dx.doi.org/10.9790/5728-1303056872.
Full textZhang, Hui, David Bourell, Yanling Guo, Xiaodong Zhang, Yu Zhuang, Yueqiang Yu, Kaiyi Jiang, and Wasim M. K. Helal. "Study on laser sintering of pine/co-PES composites and the investment casting process." Rapid Prototyping Journal 25, no. 8 (September 9, 2019): 1349–58. http://dx.doi.org/10.1108/rpj-01-2019-0019.
Full textDissertations / Theses on the topic "Confounded fractional factorials design"
Rajagopalan, Ravishankar. "Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483.
Full textAlberto, Manuel Ana Mário. "Planeamento de experiências e controlo de qualidade na indústria : revisão e aplicação metodológica." Master's thesis, 2013. http://hdl.handle.net/10400.2/2399.
Full textO presente trabalho apresenta uma breve revisão e aplicação da metodologia de Planeamento de experiências e Controlo da Qualidade no processo na Indústria. Esta pesquisa incidiu no processo de fabrico de sumo e foram definidas duas variáveis resposta: a presença de bolhas de ar no interior das embalagens e defeitos da colagem das embalagens, que são as ocorrências frequentes provocadas por diferentes causas, conhecidas e desconhecidas. O principal objectivo desta pesquisa é a identificação das causas dos defeitos durante o processo de fabrico do produto em estudo e, consequentemente procurar a sua diminuição. Para se atingir o objectivo preconizado, aplicou-se a técnica de planeamento factorial completo 2k para a identificação dos principais factores que influenciam o processo de produção. De entre os diferentes factores que envolvem o processo, destacam-se a velocidade, a pressão, a temperatura, o tempo e a quantidade. Identificados os factores, fez-se a optimização do processo para definição dos melhores níveis. Para a primeira variável usou-se a técnica de Planeamento factorial Composto; ao passo que para segunda variável, para além dessa técnica, usou-se ainda a técnica de Planeamento Composto Central. Para verificação dos resultados, usou-se a metodologia de superfície de resposta.
In this work a brief revision and an application of Experimental Design and Quality Control methodologies in industry is presented. This research is essentially based in the process of manufacturing juice, and has been defined into two ways. In the process of manufacturing, the presence of air balls within the packages and general defects of the package, due to unknown causes were detected. The main objective of this research is to identify the causes of such defects during the manufacturing process of the product and consequently to try to minimize them. In order to achieve this objective, a study has begun with the identification of the main factors that influence the production process. In between the different factors of the production process, speed, pressure and temperature, time and quantity are some of the most prominent factors. The causes were identified, and complete factorial design 2k. To verify the results, the methodology of response surface has been used.
Book chapters on the topic "Confounded fractional factorials design"
Evans, Mark. "The 2k-p Experimental Design: Fractional Factorials." In Optimisation of Manufacturing Processes, 39–53. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780138744885-6.
Full text"Fractional Factorials at 2-Levels." In Quality By Experimental Design, 113–62. Chapman and Hall/CRC, 2005. http://dx.doi.org/10.1201/b16649-15.
Full text"Fractional Factorials at Two Levels." In Quality by Experimental Design, 107–52. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b19616-15.
Full text"Two-level factorial experiments: fractional factorials." In Design of Experiments, 245–64. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/9781439894903-15.
Full text"9. Fractional Factorials with More Than Two Levels." In Statistical Design and Analysis of Experiments, 177–92. Society for Industrial and Applied Mathematics, 1998. http://dx.doi.org/10.1137/1.9781611971149.ch9.
Full textConference papers on the topic "Confounded fractional factorials design"
Daniels, Mitchell A., Levi J. Suryan, and John P. Parmigiani. "Effects of Finite Element Damage Modeling Parameters in Carbon Fiber Panels Under Mode III Loading." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50297.
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