2017
DOI: 10.33889/ijmems.2017.2.2-009
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Significant Factors of the Successful Lean Six-Sigma Implementation

Abstract: Based on an extensive literature review we have selected factors critical for Lean Six Sigma implementation success. Four variables were selected to be used as output variables measuring this project success: project on time completion, achievement of financial goals, sigma level achieved (that was measured using Defects per Million Opportunities, DPMO), and overall project success. Using empirical data from 256 Lean Six Sigma Projects, we present the model developed and identify significant factors for Lean S… Show more

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Cited by 8 publications
(9 citation statements)
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“…Kumar et al (2018) studied the opportunities of continuous improvement in Indian SMEs by using value stream mapping (VSM). Papic et al (2017) studied factors critical for Lean Six Sigma implementation success.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al (2018) studied the opportunities of continuous improvement in Indian SMEs by using value stream mapping (VSM). Papic et al (2017) studied factors critical for Lean Six Sigma implementation success.…”
Section: Introductionmentioning
confidence: 99%
“…According to Scholl et al (2004), Delphi technique can be used when there is less information available about a topic. The Delphi technique is widely used and accepted in various field of construction management such as safety, cost, schedule (Hallowell and Gambatese 2009;Dawood and Sikka, 2009;Ke et al, 2010, Lin et al, 2011, quality management (Heras Saizarbitoria, 2006;Papic et al, 2017), GIS (Hatzichristos and Giaoutzi, 2006), labour issues (Shapira and Lyachin, 2009), risk management (Perera et al, 2014) etc to achieve convergence of views through the experts panel. The consensus is achieved through several rounds of expert's opinion.…”
Section: Delphi Techniquementioning
confidence: 99%
“…The syllabus propounds in most of the engineering institutions in India does not meet a global criterion. Hence, the difficulty arises from the absence of comprehensive and existing QM models in engineering institutions (Papic & Garcia, 2017). However, the rapid growth of technical institutions in India has led to a decrease in the quality of the technical workforce supplied by these private institutions.…”
Section: Introductionmentioning
confidence: 99%