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Introduction to quality engineering : designing quality into products and processes
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The article was published on 1986-01-01 and is currently open access. It has received 765 citations till now. The article focuses on the topics: Quality assurance & System of systems engineering.read more
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Mathematical Statistics with Applications
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A treatise on order in engineering design research
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Bayesian Optimization for Adaptive Experimental Design: A Review
TL;DR: This review considers the application of Bayesian optimisation to experimental design, in comparison to existing Design of Experiments (DOE) methods, and surveys for a range of core issues in experimental design.
References
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A Study on the Appendages Optimization of a High Speed Semi-Planing Monohull using DOE
Kwanhee Seo,Hyuncheol Kim +1 more
TL;DR: Lee et al. as discussed by the authors, 2010; Seo et al., 2010; Lee et al, 2010; as discussed by the authors ; Seo, 2011; Lee, 2012; and Lee, 2013.
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Sequencing mixed-model assembly lines with demand management: problem development and efficient multi-objective algorithms
TL;DR: A multi-objective particle swarm optimization (MOPSO) algorithm was developed for the proposed NP-hard model and the algorithm parameters were tuned by applying the Taguchi technique to the experimental design.
A Decision Supporting Framework Based On Trend Analysis Of Interdisciplinary Distributed AEC Systems
TL;DR: This contribution presents a framework to bring together various disciplines in a dedicated environment, to control workflow between them and to analyze the produced data.
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Discussion of “Bayesian reliability: Combining information”
TL;DR: The article by Alyson G. Wilson and Kassandra M. Fronczyk raises some important quality engineering concepts that I would like to discuss.