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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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Parameter Analysis for the Lateral Thickness of the Coated Layer to Improve Product Quality in Large Area Roll-to-Roll Slot-Die Coating Process
Janghoon Park,Changwoo Lee +1 more
TL;DR: In this article, a full factorial statistical method was conducted to optimize the process conditions and the lowest deviation of lateral thickness (700 nm, <10%) was achieved at 10 m/min coating speed and 300 µm coating gap.
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Design choice and machine learning model performances
TL;DR: The choice of design in relation to the ML model performances is discussed, providing guidelines for practical applications of DOE and ML.
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Off-Line Quality Control in Bioproducts Processing: A Case Study in Greece
TL;DR: In the present article, data drawn from a specified biolaboratory are properly analyzed in order to detect factors that affect significantly the Brix value and the volatile acidity of the final product.
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Efficient optimization of multi-objective redundancy allocation problems in series-parallel systems
TL;DR: This paper presents two mathematical models to solve the k-out-of-n redundancy problem where there are two objectives: maximization of reliability and minimization of cost subject to two constraints.
References
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A treatise on order in engineering design research
TL;DR: A framework of reasoning was constructed, including source, channel, and sink categories of knowledge and research of engineering design, respectively, which enables a grounded argumentation about the order ofengineering design research, as well as about the articulation of the engineering design knowledge.
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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.