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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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Mathematical Statistics with 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.
References
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Robust Estimator Based X ? Control Chart for Specified Capability Index Cpk

TL;DR: In this article, a robust chart for a specified capability index is proposed and compared with a simulated process data from normal distribution using a simulated control chart and basic Shewhart control chart.
Posted Content

A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors

TL;DR: The proposed method optimizes the design matrix (aka dictionary) in the linear model used for SRC, minimizing its ill-posedness to achieve a sparse solution and is found to be superior to those of benchmark methods in terms of accuracy, while also requiring computational time appropriate for MMH online monitoring.
Proceedings ArticleDOI

A response-based method for analyzing data from Taguchi experiments

TL;DR: In this article, the authors proposed a relatively simple method for analyzing the data from Taguchi experiments, which directly uses the average and standard deviation of responses as performance measures and combine the two measures into the square deviation from target and the optimal factor level is identified as the one that has the smallest deviation from the target.
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Fuzzy-Robust Design Optimization of Dimension Tolerance Using the Improved Genetic Algorithm

TL;DR: The standard genetic algorithm is improved by introducing the engineering treatment method of design vector in order to solve the optimization problem with mixed-discrete variables and the robustness of the dimension tolerance has been improved.
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2m − p compromise plans with strongly clear specified main effects and two-factor interactions

TL;DR: In this article, the authors derived necessary conditions for the existence of four classes of two-level strongly clear compromise plans which allow the estimations of some specified main effects and two-factor interactions, with the assumption that the fourth or higher-order effects are negligible.