Book•
Introduction to quality engineering : designing quality into products and processes
01 Jan 1986-
About: 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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Book•
01 Jan 2009
TL;DR: Step-by-step procedure to solve real problems, making the topic more accessible, and exercises blend theory and modern applications.
Abstract: Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. ? Step-by-step procedure to solve real problems, making the topic more accessible ? Exercises blend theory and modern applications ? Practical, real-world chapter projects ? Provides an optional section in each chapter on using Minitab, SPSS and SAS commands ? Student solutions manual, instructors manual and data disk available
428 citations
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.
Abstract: Understanding how to implement SPI successfully is arguably the most challenging issue facing the SPI field today. The SPI literature contains many case studies of successful companies and descriptions of their SPI programs. However, there has been no systematic attempt to synthesize and organize the prescriptions offered. The research efforts to date are limited and inconclusive and without adequate theoretical and psychometric justification.
This paper provides a synthesis of prescriptions for successful quality management and process improvement found from an extensive review of the quality management, organizational learning, and software process improvement literature. The literature review was confirmed by empirical studies among both researchers and practitioners. The main result is an instrument for measuring the key factors of success in SPI based on data collected from 120 software organizations. The measures were found to have satisfactory psychometric properties. Hence, managers can use the instrument to guide SPI activities in their respective organizations and researchers can use it to build models to relate the facilitating factors to both learning processes and SPI outcomes.
201 citations
Cites background from "Introduction to quality engineering..."
...…(e.g. Ahireet al., 1996; Black and Porter, 1996; Feigenbaum, 1991; Garvin 1983, 1984; Ishikawa, 1986, 1990; Powell, 1995; Saraphet al., 1989; Taguchi, 1986; Taguchiet al., 1989; Yusof and Aspinwall, 1999) repeatedly discuss the importance of critical factors such as leadership involvement,…...
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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.
Abstract: Creating effective online customer experiences through well-designed product web pages is critical to success in online retailing. How such web pages should look specifically, however, remains uncl...
197 citations
Cites methods from "Introduction to quality engineering..."
...Our experimental design is based on a Taguchi (1986) orthogonal array design, which is rare in marketing research....
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...We therefore adopted a Taguchi (1986) orthogonal array design, which reduced the required number of cells to 256 (16 combinations of design elements per product 4 products 4 firms)....
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...Together with a specialized online content agency, we designed and created mock Amazon product web pages for each product that varied the 13 design elements on two levels each, according to an orthogonal array design (Taguchi 1986)....
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...On these pages, we manipulated 13 design elements according to an orthogonal array design (Taguchi 1986) and then tested the pages among 10,470 randomly assigned respondents....
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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.
Abstract: Engineering design research shows a rather fragmented, if not a chaotic, picture. But does it have a hidden order? Can we explore it, or should we impose a reasoning model? This paper looks for the answer in the purpose of engineering design. It is destined to sustain human existence and well being by virtual creation of artifacts and services for the society. To this end, the engineering design discipline should provide a proper body of knowledge. The design knowledge obtained by empirical exploration and/or rational comprehension should be transformed for practical/pragmatic deployment. It was assumed that this purposely streaming of design knowledge gives a unique rationale for engineering design research. Based on this, a framework of reasoning was constructed, including source, channel, and sink categories of knowledge and research of engineering design, respectively. Within each category, research domains, trajectories, and approaches were identified. The semantic relationships of domains, trajectories, and approaches form a hierarchical structure. The proposed framework enables a grounded argumentation about the order of engineering design research, as well as about the articulation of the engineering design knowledge.
188 citations
Cites background from "Introduction to quality engineering..."
...Product quality research studies the factors that influence the resultant quality of the artifacts (Taguchi 1986)....
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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.
Abstract: Bayesian optimisation is a statistical method that efficiently models and optimises expensive “black-box” functions. This review considers the application of Bayesian optimisation to experimental design, in comparison to existing Design of Experiments (DOE) methods. Solutions are surveyed for a range of core issues in experimental design including: the incorporation of prior knowledge, high dimensional optimisation, constraints, batch evaluation, multiple objectives, multi-fidelity data, and mixed variable types.
147 citations
Cites background from "Introduction to quality engineering..."
...Robust Parameter Design (RPD) [5]–[7] systematically characterises the influence of uncontrollable variables and noise....
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References
More filters
Book•
01 Jan 2009
TL;DR: Step-by-step procedure to solve real problems, making the topic more accessible, and exercises blend theory and modern applications.
Abstract: Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. ? Step-by-step procedure to solve real problems, making the topic more accessible ? Exercises blend theory and modern applications ? Practical, real-world chapter projects ? Provides an optional section in each chapter on using Minitab, SPSS and SAS commands ? Student solutions manual, instructors manual and data disk available
428 citations
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.
Abstract: Understanding how to implement SPI successfully is arguably the most challenging issue facing the SPI field today. The SPI literature contains many case studies of successful companies and descriptions of their SPI programs. However, there has been no systematic attempt to synthesize and organize the prescriptions offered. The research efforts to date are limited and inconclusive and without adequate theoretical and psychometric justification.
This paper provides a synthesis of prescriptions for successful quality management and process improvement found from an extensive review of the quality management, organizational learning, and software process improvement literature. The literature review was confirmed by empirical studies among both researchers and practitioners. The main result is an instrument for measuring the key factors of success in SPI based on data collected from 120 software organizations. The measures were found to have satisfactory psychometric properties. Hence, managers can use the instrument to guide SPI activities in their respective organizations and researchers can use it to build models to relate the facilitating factors to both learning processes and SPI outcomes.
201 citations
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.
Abstract: Creating effective online customer experiences through well-designed product web pages is critical to success in online retailing. How such web pages should look specifically, however, remains uncl...
197 citations
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.
Abstract: Engineering design research shows a rather fragmented, if not a chaotic, picture. But does it have a hidden order? Can we explore it, or should we impose a reasoning model? This paper looks for the answer in the purpose of engineering design. It is destined to sustain human existence and well being by virtual creation of artifacts and services for the society. To this end, the engineering design discipline should provide a proper body of knowledge. The design knowledge obtained by empirical exploration and/or rational comprehension should be transformed for practical/pragmatic deployment. It was assumed that this purposely streaming of design knowledge gives a unique rationale for engineering design research. Based on this, a framework of reasoning was constructed, including source, channel, and sink categories of knowledge and research of engineering design, respectively. Within each category, research domains, trajectories, and approaches were identified. The semantic relationships of domains, trajectories, and approaches form a hierarchical structure. The proposed framework enables a grounded argumentation about the order of engineering design research, as well as about the articulation of the engineering design knowledge.
188 citations
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.
Abstract: Bayesian optimisation is a statistical method that efficiently models and optimises expensive “black-box” functions. This review considers the application of Bayesian optimisation to experimental design, in comparison to existing Design of Experiments (DOE) methods. Solutions are surveyed for a range of core issues in experimental design including: the incorporation of prior knowledge, high dimensional optimisation, constraints, batch evaluation, multiple objectives, multi-fidelity data, and mixed variable types.
147 citations