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Lean Six Sigma

About: Lean Six Sigma is a research topic. Over the lifetime, 1919 publications have been published within this topic receiving 29142 citations.


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Proceedings ArticleDOI
03 Jun 2011
TL;DR: The analysis of optimizing or tailoring parameters during ERP implementation suggests that even without new module development, small companies may be able to build unique functionality into a standard ERP system to their competitive advantages.
Abstract: Think Globally and Act Locally. Globalization, once the domain for only large companies, is now presenting new markets for the growth of small to mid market companies. ERP can be the road to prosperity for SMEs if one can select steps to implement Lean Six Sigma approach carefully to make the organization proficient and profitable. Besides the analysis of optimizing or tailoring parameters during ERP implementation suggests that even without new module development, small companies may be able to build unique functionality into a standard ERP system to their competitive advantages. While our ancient MRP-centric ERP is largely obsolete, this paper presents an evolving and sustainable Enterprise System approach which will definitely live on by mutating and adapting to a new world of shrinking cycle times, budgets, non-value-added activities and head counts.

5 citations

Book ChapterDOI
01 Jan 2014
TL;DR: The purpose of this chapter is to develop a model that provides a systematic evaluation for potential opportunities to enhance the effectiveness of Lean Six Sigma, derived from the Bayesian Network methodology.
Abstract: In order to retain competitive advantages, many manufacturing organizations have applied Lean Six Sigma techniques to improve production processes. The general approach for implementing Lean Six Sigma is to perform various projects to tackle specific problems or areas. However, with the manufacturing system and its external environment becoming more and more complex, it is simply not possible to solve all the problems given the limited resources. The purpose of this chapter is to develop a model that provides a systematic evaluation for potential opportunities to enhance the effectiveness of Lean Six Sigma. Deriving from the Bayesian Network methodology, the proposed model combines a graphical approach to represent cause-and-effect relationships between events of interests and probabilistic inference to estimate their likelihoods in the area of process improvement. The developed model can be used for assessing the problems associated with Lean Six Sigma initiatives and prioritizing efforts to solve these problems.

5 citations

01 Dec 2012
TL;DR: In this article, the authors examine the relationship of Agile, CMMI, Lean Production and the Six Sigma Define, Measure, Analyze, Improve, and Control (DMAIC) roadmap and explain how these methodologies might be synergistically combined for a cohesive approach to enhance continuous process improvement.
Abstract: : Many organizations have struggled over the past few decades with a blizzard of process improvement methodologies such as Total Quality Management (TQM), Kaizen, JIT Production, and Re-Engineering These operations are understandably leery of adopting new methodologies given their past experience, especially with a focus on return on investments and leveraging existing practices This article examines the relationship of Agile, CMMI , Lean Production and the Six Sigma Define, Measure, Analyze, Improve, and Control (DMAIC) roadmap The intent is to explain how these methodologies might be synergistically combined for a cohesive approach to enhance continuous process improvement

5 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyzed factors that affect the level of innovation in projects to develop new service offerings based on field re-search results from 84 service innovation projects Personal characteristics of developers, process and customer type, and an important characteristic of their organization (i.e., whether or not they possess a strong Lean Six Sigma or simi-lar process improvement orientation) are analyzed.
Abstract: Factors that affect the level of innovation in projects to develop new service offerings are analyzed based on field re-search results from 84 service innovation projects Personal characteristics of developers, process and customer type, and an important characteristic of their organization (ie, whether or not they possess a strong Lean Six Sigma or simi-lar process improvement orientation) are analyzed It is shown that, although personal characteristics, process type, or customer type do not affect the level of innovation, organizations with a strong Lean Six Sigma orientation had a lower incidence of radical innovation recommendations

5 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023109
2022205
2021183
2020187
2019190