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Lean Six Sigma Statistics: Calculating Process Efficiencies in Transactional Projects

K. Narasimhan
- 09 Oct 2007 - 
- Vol. 19, Iss: 6, pp 626-627
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This article is published in The Tqm Magazine.The article was published on 2007-10-09. It has received 22 citations till now. The article focuses on the topics: Lean Six Sigma.

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Journal ArticleDOI

Six Sigma Literature: A Review and Agenda for Future Research

TL;DR: This paper reviews this literature describing the trends, sources, and findings of Six Sigma, and seeks to synthesize the literature, with an emphasis on establishing its relationship to quality management theory and topics for future research.
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An exploratory qualitative and quantitative analysis of Six Sigma in service organizations in Singapore

TL;DR: A conceptual framework is developed to facilitate widening the scope of Six Sigma implementation in service organizations and confirms the inclusion of critical success factors, critical-to-quality characteristics, and set of tools and techniques as observed from the literature.
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18 comparative aspects between Lean and Six Sigma

TL;DR: In this article, the authors present a conceptual comparative analysis of Lean manufacturing and Six Sigma, highlighting 18 critical aspects between such approaches and their respective implications for management decision-making, which mitigates the literature gap regarding whether and how Lean and six Sigma are synergistic approaches.

TQM, TPM, TOC, Lean and Six Sigma - evolution of manufacturing methodologies under the paradigm shift from Taylorism/Fordism to Toyotism

TL;DR: In this paper, the evolution of manufacturing methodologies is explored based on a historic analysis of the automobile industry and the inherent historic driver and social needs are presented and the existence of a paradigm shift from Fordism to Toyotism is discussed.
Journal ArticleDOI

A graph-based approach for positive and unlabeled learning

TL;DR: In this article, a graph-based approach called label propagation for positive and unlabeled learning (LP-PUL) is proposed for semi-supervised text classification or information retrieval.