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Introduction to quality engineering : designing quality into products and processes

玄一 田口
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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.

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Citations
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Optimal selection of single arrays for parameter design experiments

Chien-Fu Wu, +1 more
TL;DR: In this paper, single arrays were proposed as an alternative to the inner-outer arrays advocated by Taguchi, and search methods were proposed to find "optimal" single arrays with run size 8, 16 and 32.
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Development of a multidisciplinary–multiresponse robust design optimization model

TL;DR: In this article, a new robust design optimization model is proposed to solve design problems involving multiple responses of several different types, and the results of the experiment are optimized using a new approach that is formulated as a nonlinear goal programming problem.
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Robust design principles for reducing variation in functional performance

TL;DR: In this article, a comprehensive collection of variation reduction principles (VRP) that can be used to increase the robustness of a product and reduce its variation in functional performance is presented.
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Choosing the system configuration for high-volume manufacturing

TL;DR: Typical configurations of large-volume manufacturing systems for mechanical products are compared from cost, responsiveness and product quality perspectives, and two practical configurations are discussed – parallel serial lines, and reconfigurable manufacturing systems.
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A Generalized Global Optimization Algorithm for Dual Response Systems

TL;DR: An ANSI FORTRAN implementation of a comprehensive algorithm for the global (or near-global) optimization of DR systems within a radial region of experimentation and results show that DR2 is more effective at locating optimal operating conditions even if the DR system is degenerate.
References
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Mathematical Statistics with Applications

TL;DR: Step-by-step procedure to solve real problems, making the topic more accessible, and exercises blend theory and modern applications.
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An Instrument for Measuring the Key Factors of Successin Software Process Improvement

TL;DR: The main result is an instrument for measuring the key factors of success in SPI based on data collected from 120 software organizations and the measures were found to have satisfactory psychometric properties.
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Creating Effective Online Customer Experiences

TL;DR: Across 16 experiments, this research investigates how 13 unique design elements shape four dimensions of the online customer experience and thus influence purchase and provides managers with clear strategic guidance on how to build effective web pages.
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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.