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Jamison V. Kovach

Researcher at University of Houston

Publications -  53
Citations -  793

Jamison V. Kovach is an academic researcher from University of Houston. The author has contributed to research in topics: Design for Six Sigma & Lean Six Sigma. The author has an hindex of 14, co-authored 50 publications receiving 722 citations.

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ONLINE TECHNOLOGIES FOR ENGAGED LEARNING A Meaningful Synthesis for Educators

TL;DR: In this paper, the authors synthesize information about well-established and relatively new technologies, such as discussion boards, chat sessions, blogs, Twitter, Skype, YouTube, and so on, to provide guidance for educators interested in integrating these tools within their online learning environment.
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Reducing Welding Defects in Turnaround Projects: A Lean Six Sigma Case Study

TL;DR: In this article, a case study describes how one specialty construction company used the Lean Six Sigma methodology to reduce welding defects in turnaround projects, and the case study is extended to other turnaround projects.
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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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Improving supply chain information sharing using Design for Six Sigma

TL;DR: In this article, an action research, case study approach used the Design for Six Sigma (DFSS) methodology to design an information technology solution that effectively communicates information between the layers within the supply chain regarding the movement of materials via inland tank barges.
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Development of an experiment-based robust design paradigm for multiple quality characteristics using physical programming

TL;DR: In this paper, the authors extend the basic concept of physical programming to robust design by establishing the links of experimental design and response surface methodology to address designers' preferences in a multiresponse robust design paradigm.