Analysis and modeling the enablers of Green Lean Six Sigma implementation using Interpretive Structural Modeling

2019 ◽  
Vol 231 ◽  
pp. 1182-1191 ◽  
Author(s):  
Mahender Singh Kaswan ◽  
Rajeev Rathi
Keyword(s):  
Six Sigma ◽  
Structural Modeling ◽  
Lean Six Sigma ◽  
Interpretive Structural Modeling

Investigation and modeling of lean six sigma barriers in small and medium-sized industries using hybrid ISM-SEM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahipal Singh ◽  
Rajeev Rathi
Keyword(s):  
Six Sigma ◽  
Structural Equation ◽  
Research Work ◽  
Lean Six Sigma ◽  
Equation Modeling ◽  
Original Research ◽  
Extensive Literature ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation of LSS in their core business. This study aims to make a comprehensive analysis of LSS implementation barriers in SMEs so that LSS execution can be much fluent in SMEs. Design/methodology/approach This research work is carried out based on investigation of LSS barriers through extensive literature review. For validating the identified barriers, a questionnaire survey was conducted, and out of 400 samples, 260 responses received back. The collected responses are analyzed statistically and found 16 significant barriers. The finalized barriers are modeled using interpretive structural modeling (ISM) and clustered them through matrice d’impacts croisés-multiplication appliquée a un classement (MICMAC) analysis. Furthermore, to check the consistency of results, ISM-MICMAC outcomes are validated through structural equation modeling (SEM). Findings The result reveals that 16 LSS implementation barriers are finalized through expert’s opinion and validated through statistical reliability test with Cronbach’s alpha value of 0.820. The ISM model reveals that the management relevant barriers are exhibiting the leading role to influence the implementation of LSS in SMEs. Moreover, the obtained results validated through SEM are found in good agreement. Research limitations/implications During pairwise comparisons, there may be some prejudice and subjectivity as human judgments are engaged. Practical implications This study provides impetus to practitioners and consultant for the initiation of LSS in the business organization through tackling the LSS barriers as per their driving and dependence power. Originality/value In the past, limited studies had explored the LSS barriers, but a few studies analyzed the mutual relationship between barriers. No such study is reported in literature that validates the mutual interaction model of LSS barriers. Hence, this paper presents the original research work of identification and modeling of barriers associated with LSS implementation in SMEs through hybrid ISM-SEM approach.

ISM and Fuzzy MICMAC application for analysis of Lean Six Sigma barriers with environmental considerations

2018 ◽  
Vol 9 (1) ◽  
pp. 64-90 ◽  
Author(s):  
Ben Ruben R. ◽  
Vinodh S. ◽  
Asokan P.
Keyword(s):  
Six Sigma ◽  
Structural Model ◽  
Negative Attitude ◽  
Lean Six Sigma ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Management Commitment ◽  
Top Management Commitment ◽  
Fuzzy Micmac ◽  
Environmental Considerations

Purpose The purpose of this study is to prioritize and analyze the barriers that affect Lean Six Sigma (LSS) adoption with environmental considerations. Design/methodology/approach To find interrelationships and mutual influences among the identified barriers, an integrated interpretive structural modeling (ISM) and Fuzzy MICMAC (Matrice d’Impacts Croisés Multiplication Appliqués à un Classement approach was applied). In total, 20 crucial barriers that affect LSS adoption with environmental considerations have been derived from the literature and in consultation with experts hailing from the industry and academia. Findings Based on the analysis, the most dominant and dependent barriers that affects LSS adoption with environmental considerations have been identified. The barriers, namely, “lack of top management commitment”, “lack of training and education” and “lack of funds for green projects”, occupy the base segment of the ISM hierarchy; the barriers, namely, “difficulty in adopting environmental strategies”, “stringent government policies”, “negative attitude towards sustainability concepts”, “improper communication” and “lack of defect monitoring analysis”, occupy the top level of the ISM hierarchy. Practical implications The analysis helped in identifying and prioritizing the barriers that affect LSS adoption with environmental considerations using a mathematical approach. This approach is also helpful for practitioners to focus on removing the key dominant barriers and to enable LSS adoption with environmental considerations smoothly. Originality/value The analysis helped in identifying and prioritizing the barriers that affect LSS adoption with environmental considerations using the Fuzzy MICMAC approach which has not been attempted in the past. The structural model is developed holistically based on the inputs gathered from practitioners and academicians to ensure practical validity. Also, this approach is helpful for practitioners to focus on removing the key dominant barriers and enabling them to deploy LSS concepts with environmental considerations smoothly.

scholarly journals Success factors of lean six sigma implementation in manufacturing

2021 ◽  
pp. 205-216 ◽  
Author(s):  
Nejah Ben Mabrouk ◽  
Saber Ibrahim ◽  
Mansour Eddaly
Keyword(s):  
Six Sigma ◽  
Quantitative Research ◽  
Success Factors ◽  
Implementation Process ◽  
Lean Six Sigma ◽  
Test Theory ◽  
Key Factors ◽  
Interpretive Structural Modeling ◽  
Critical Success ◽  
Power And Dependence

Recently, Lean Six Sigma (LSS) has attracted much attention from both researchers and practitioners. In fact, many published papers used a quantitative research methodology to build and test theory in the field of LSS implementation in manufacturing area. Very few studies have been reported about the critical success factors influencing of six sigma implementations. The aim of this study is to present the results, from an empirical evidence, of Six Sigma implementation in Tunisian manufacturing. Therefore, fourteen main factors have been identified through literature review and questionnaire survey. Interpretive structural modeling (ISM) has been used to develop a hierarchical structure for analyzing the interactions among the key factors. By using the MICMAC technique, the barriers were classified into four groups according to their driving power and dependence power. Our finding provides important insight to managers and practitioners about factors in the LSS implementation process.

EMPLOYEE ENGAGEMENT FOR HIGH FIRM PERFORMANCE: THE CASE OF LEAN SIX SIGMA AT A MALAYSIA TRADING COMPANY

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Hadijah Iberahim ◽  
Izmahariz Azman ◽  
Mohd Haniff Shahri ◽  
Nur Fara Ellyanie Abdul Hamid
Keyword(s):  
Knowledge Sharing ◽  
Employee Engagement ◽  
Six Sigma ◽  
Relevant Literature ◽  
Lean Six Sigma ◽  
Successful Implementation ◽  
Management Support ◽  
High Productivity ◽  
Trading Company ◽  
Goal Clarity

Lean Six Sigma (LSS) is a method that helps an organization to maximize profit and minimize cost. One of the essential factors for a successful LSS project is the availability of employees who are willing to engage. Employee engagement brings about a strong sense of belonging and high productivity. Consequently, engaged employees will work harder to achieve the mission of the organization. This paper discusses a case of LSS project with a low level of employee engagement. As a result, LSS was less likely helpful in sustaining company’s performance. The purpose of this study is to identify factors that contribute to employee engagement in LSS practices. Review of the relevant literature suggests four variables, which include goal clarity, management support and trust, knowledge sharing and transfer, and teamwork. The questionnaire survey applied census in collecting feedback from 80 respondents. Statistical analysis results indicate that goal clarity, management support, and trust are significant to employee engagement. However, knowledge sharing and transfer as well as teamwork are not substantial. It is recommended for the organization to give attention to all the four factors. This paper extended understandings on critical inputs to a successful implementation of LSS for sustainable company’s performance and growth. Keywords: Lean Six Sigma, Employee Engagement, Goal Clarity, Management Support and Trust, Teamwork, Knowledge Sharing.

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