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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 39, 2007 - Issue 3
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Articles

Optimal Designs for Mixture-Process Experiments with Control and Noise Variables

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Pages 179-190 | Published online: 21 Nov 2017

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Read on this site (2)

Tae-Yeon Cho, DouglasC. Montgomery & ConnieM. Borror. (2012) A Case Study Involving Mixture–Process Variable Experiments within a Split-Plot Structure. Quality Engineering 24:1, pages 80-93.
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L.H.A. Dal Bello & A. F.C. Vieira. (2011) Optimization of a product performance using mixture experiments including process variables. Journal of Applied Statistics 38:8, pages 1701-1715.
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Articles from other publishers (10)

Krishan Lal, Upendra Kumar Pradhan & V. K. Gupta. 2020. Statistical Methods and Applications in Forestry and Environmental Sciences. Statistical Methods and Applications in Forestry and Environmental Sciences 193 212 .
Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2019) The construction of robust mixture‐process experimental designs via genetic algorithm. Quality and Reliability Engineering International 35:6, pages 1582-1602.
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Neelesh Kumar Sahu & Atul Andhare. 2018. Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes. Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes.
Márcio Nascimento de Souza Leão, Antonio Fernando de Castro Vieira & Luiz Henrique Abreu Dal Bello. (2015) A MODEL SELECTION PROCEDURE IN MIXTURE-PROCESS EXPERIMENTS FOR INDUSTRIAL PROCESS OPTIMIZATION. Pesquisa Operacional 35:2, pages 377-399.
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Hamideh Aghajani-Lazarjani, Ebrahim Vasheghani-Farahani, Sameereh Hashemi-Najafabadi, Seyed Abbas Shojaosadati, Saleh Zahediasl, Taki Tiraihi & Fatemeh Atyabi. (2013) Optimization of monomethoxy poly(ethylene glycol) grafting on Langerhans islets capsule using response surface method. Progress in Biomaterials 2:1.
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Wanida Limmun, John J. Borkowski & Boonorm Chomtee. (2013) Using a Genetic Algorithm to Generate D-optimal Designs for Mixture Experiments. Quality and Reliability Engineering International 29:7, pages 1055-1068.
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Luiz Henrique Abreu Dal Bello & Antonio Fernando de Castro Vieira. (2011) Tutorial for mixture-process experiments with an industrial application. Pesquisa Operacional 31:3, pages 543-564.
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Myrta Rodriguez, Douglas C. Montgomery & Connie M. Borror. (2009) Generating experimental designs involving control and noise variables using genetic algorithms. Quality and Reliability Engineering International 25:8, pages 1045-1065.
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George J. Besseris. (2009) Multi‐response unreplicated‐saturated Taguchi designs and super‐ranking in food formulation improvement. International Journal of Quality & Reliability Management 26:4, pages 341-368.
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Gabriella Dellino, Jack P. C. Kleijnen & Carlo Meloni. (2008) Robust Optimization in Simulation: Taguchi and Response Surface Methodology. SSRN Electronic Journal.
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