A Tasks-based Six Sigma Roadmap for Healthcare Services

Tang, Loon Ching; Lam, Shao-Wei; Goh, T.N.

doi:10.1007/978-1-84800-131-2_62

Cited by 2 publications

(2 citation statements)

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“…DFSS, which can be in the form of an IDOV (Identify-Design-Optimize-Validate) framework 7,8 , aims to design products that are 'Six Sigma capable' emphasizing the early application of Six Sigma tools, as well as the principle that prevention is better than cure in defect elimination 7 . DFSS represents a best practice design methodology that enables the early identification and mitigation of design risks within the product development process.…”

Section: Introductionmentioning

confidence: 99%

“…Although the DFSS course encompasses a wider curriculum, details are not elaborated here as the focus is on the teaching of statistical experimentation. Also key tasks, deliverables and knowledge base for Six Sigma in general can be found in the literature 8,37 . Table I presents the key stages and activities together with the important skill sets taught through the PBL approach.…”

Section: Introductionmentioning

confidence: 99%

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Problem‐based learning approach to application of statistical experimentation

Goh

Lam

2010

Quality & Reliability Eng

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In product development, statistical experimentation techniques can help to improve product quality so as to meet or even exceed customers' requirements. To integrate proper statistical techniques effectively and sustainably into new product development and innovation processes, it is important to train product development engineers who are usually experts in their respective engineering domain. In this paper, a problem-based learning approach integrated within a Design for Six Sigma (DFSS) training program is described. It is illustrated that instead of relying on ad hoc implementation, statistical experimentation introduced through the DFSS methodology would enable product development engineers to appreciate its usefulness within a broader framework.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%