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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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The use of dimensional analysis to augment design of experiments for optimization and robustification

TL;DR: It is shown in this paper that by combining dimensional analysis with DOE it is possible to generate a near-exact surrogate model of a system empirically with a significantly reduced number of experiments when compared with traditional DOE techniques.
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Reliability based multi-objective robust design optimization of steel moment resisting frame considering spatial variability of connection parameters

TL;DR: In this article, a reliability-based robust design optimization approach is proposed to reduce the variability of the seismic response to hard-to-control noise parameters while also considering design safety and budget.
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Evaluating the effect of intake parameters on the performance of a biogas–diesel dual-fuel engine using the Taguchi method

TL;DR: In this paper, a Compression Ignition (CI) engine was operated in dual-fuel mode with simulated biogas as primary fuel and diesel as pilot fuel, and the effects of four intake parameters, viz. biOGAS flow rate, metha...
Dissertation

Digital Forensics Tool Testing - Image Metadata in the Cloud

Philip Clark
TL;DR: This paper is intended to provide a history of the field and some of the techniques used, as well as some examples of applications, that were developed in the field.
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A learning model for the allocation of training hours in a multistage setting

TL;DR: In this paper, a learning model with time-varying learning rates is proposed for embracing both these effects into a multistage assembly/production setting, where the quality metric predicted is the rate of supplied non-conforming units through a learning process with autonomous and induced sources of experience.
References
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Book

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.