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.

TISM for analysis of barriers affecting the adoption of lean concepts to electronics component manufacture

2020 ◽  
Vol 11 (6) ◽  
pp. 1141-1173
Author(s):  
Senthil Kumar D. ◽  
S. Vinodh
Keyword(s):  
Structural Model ◽  
Matrix Multiplication ◽  
Change Agents ◽  
Practical Case ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Management Commitment ◽  
Top Management Commitment ◽  
Component Manufacturing ◽  
Selection Of

Purpose The purpose of this paper is to present the analysis of barriers affecting the adoption of lean concepts to electrical and electronics component manufacturing. Design/methodology/approach Lean concepts are being increasingly applied by electrical and electronics component manufacturers to enhance product value through streamlined process. To facilitate smooth adoption of lean concepts, barriers need to be analyzed and prioritized. In this context, a structural model of 24 barriers is developed through total interpretive structural modeling (TISM) approach. Findings ‘Changing governmental policies,’ ‘poor selection of change agents and improvement teams,’ ‘lack of top management commitment understanding and support of the system,’ ‘lack of team autonomy,’ ‘lack of flexibility and versatility’ and ‘lack of customer focus/involvement’ are found to be the dominant barriers based on TISM study. Interpretation statements are being derived from TISM model. Cross-impact matrix multiplication applied to classification analysis is conducted. Research limitations/implications In the present paper, 24 barriers are considered. In future, additional barriers could be considered to deal with managerial advancements. Practical implications The paper reports the practical case of analysis of barriers to lean adoption in electronics component manufacture. Hence, the inferences have practical relevance. Originality/value The development of structural model for the analysis of barriers to lean implementation in electronics component manufacturing small- and medium-sized enterprises is the original contribution of the authors.

ISM–ANP hybrid approach to prioritize the barriers in green lean Six Sigma implementation in construction sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dain Thomas ◽  
Dinesh Khanduja
Keyword(s):  
Six Sigma ◽  
Hybrid Approach ◽  
Analytic Network Process ◽  
Lean Six Sigma ◽  
Construction Sector ◽  
Content Type ◽  
Priority Weights ◽  
Management Commitment ◽  
Top Management Commitment ◽  
Network Process

Purpose The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector. Design/methodology/approach A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia. Findings Based on the ISM model “Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation” are at the highest level. Similar results were found while ranking the barriers through ISM–ANP integration. Originality/value This study identified and prioritized the barriers that affect GLSS implementation using ISM–ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

Modeling and classification of enablers of CSR in Indian firms

2019 ◽  
Vol 14 (2) ◽  
pp. 456-475 ◽  
Author(s):  
Divesh Kumar ◽  
Praveen Goyal ◽  
Vinod Kumar
Keyword(s):  
Corporate Social Responsibility ◽  
Corporate Reputation ◽  
Design Methodology ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Management Commitment ◽  
The World ◽  
Top Management Commitment ◽  
Corporate Social

Purpose The purpose of this paper is to study corporate social responsibility (CSR) enablers, with special reference to Indian firms. Further, the CSR enablers have been identified and their ranking obtained, and interactions and interrelationships among the different enablers have also been studied. Design/methodology/approach The interpretive structural modeling (ISM) approach was used to evaluate the interactions among the various enablers of CSR implementation, from the perspective of Indian companies. Findings In the course of this paper, based on a detailed literature review, nine enablers were identified and after seeking expert opinion, eight CSR implementation enablers were shortlisted. The present study has identified that top management commitment, organizational culture and formal strategic planning are the main enablers of CSR implementation in Indian companies, whereas corporate reputation, better financial performance and customer satisfaction are the dependent enablers that have high dependence power but weak driving power. Originality/value The ISM-based model of CSR enablers presented in this paper will prove to be of interest to academicians and practitioners alike. While academicians will gain a better understanding of enablers of CSR implementation from the perspective of one of the fastest growing economies of the world, practitioners will gain a better understanding of CSR enablers, and their enhanced knowledge will help them to effectively implement CSR in their organizations.

Effect of Lean Six Sigma on quality performance in Malaysian hospitals

2018 ◽  
Vol 31 (8) ◽  
pp. 973-987 ◽  
Author(s):  
Selim Ahmed ◽  
Noor Hazilah Abd Manaf ◽  
Rafikul Islam
Keyword(s):  
Significant Relationship ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Senior Management ◽  
Medical Laboratory ◽  
Quality Performance ◽  
Workforce Management ◽  
Content Type ◽  
Management Commitment ◽  
Research Findings

Purpose The purpose of this paper is to investigate the effects of Lean Six Sigma (LSS) and workforce management on the quality performance of Malaysian hospitals. This paper also investigates the direct and indirect relationships between top management commitment and quality performance of the healthcare organisations in Malaysia. Design/methodology/approach This study applied stratified random sampling to collect data from 15 different hospitals in Peninsular Malaysia. The self-administered survey questionnaires were distributed among 673 hospital staff (i.e. doctors, nurses, pharmacists, and medical laboratory technologists) to obtain 335 useful responses with a 49.47 per cent valid response rate. The research data were analysed based on confirmatory factor analysis and structural equation modelling by using AMOS version 23 software. Findings The research findings indicated that LSS and workforce management have a significant impact on quality performance of the Malaysian hospitals, whereas senior management commitment was found to have an insignificant relationship with quality performance. The research findings indicate that senior management commitment has no direct significant relationship with quality performance, but it has an indirect significant relationship with quality performance through the mediating effects of LSS and workforce management. Research limitations/implications This research focussed solely on healthcare organisations in Malaysia and thus the results might not be applicable for other countries as well as other service organisations. Originality/value This research provides theoretical, methodological, and practical contributions for the LSS approach and the research findings are expected to provide guidelines to enhance the level of quality performance in healthcare organisations in Malaysia as well as other countries.

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.

Evaluating the effect of critical failure factors associated with sustainable Lean Six Sigma framework implementation in healthcare organization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vikas Swarnakar ◽  
A.R. Singh ◽  
Anil Kr Tiwari
Keyword(s):  
Six Sigma ◽  
Structural Model ◽  
Methodological Approach ◽  
Healthcare Organization ◽  
Lean Six Sigma ◽  
Decision Makers ◽  
Content Type ◽  
Solution Approach ◽  
Healthcare Environment ◽  
Failure Factors

PurposeThe purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable Lean Six Sigma (SLSS) framework implementation in a healthcare organization. Further, solution approaches have been provided that guide to eliminate them.Design/methodology/approachThe CFFs has been identified through empirical study and clustered into six major categories for their better understanding. The interrelation among CFFs has been developed through total interpretive structural modeling (TISM) and classifies the nature using MICMAC technique. Further, prioritized the CFFs based on its driving and dependents power. The methodology enabled the decision-makers, practitioners to systematically analyze the CFFs and develop a structural model for implementing SLSS in the healthcare environment.FindingsA total of 14 leading CFFs have been identified, and 7-level structured interrelationship-based model has been formed. The experts have provided the solution approach after careful analysis of the developed model. Based on the analysis, it was observed that the significant CFFs affect the deployment of the SLSS framework in healthcare organizations.Research limitations/implicationsThe structured model and methodological approach have been tested in a healthcare organization. In the future, the approach can be applied in the different service sectors.Practical implicationsThe present study has been conducted in a real-time industrial problem. The practitioners, decision-makers and academicians expressed the usefulness of methodology for understanding the CFFs interrelation and their effect on SLSS implementation. This study also guides decision-makers to systematically tackle related problems.Originality/valueThe development of a structured CFFs based model for SLSS framework implementation using the integrated TISM-MICMAC with a detailed solution approach is a unique effort in a healthcare environment.

Development of structural equation model for Lean Six Sigma system incorporated with sustainability considerations

2020 ◽  
Vol 11 (4) ◽  
pp. 687-710 ◽  
Author(s):  
Ben Ruben R. ◽  
S. Vinodh ◽  
Asokan P.
Keyword(s):  
Organizational Performance ◽  
Six Sigma ◽  
Structural Equation ◽  
Structural Model ◽  
Sustainable Manufacturing ◽  
Measurement Model ◽  
Lean Six Sigma ◽  
Equation Modeling ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The study aims to describe the development of a structural measurement model using structural equation modeling technique to validate the association that exists between Lean Six Sigma (LSS) and sustainable manufacturing strategies. Design/methodology/approach Both LSS and sustainable manufacturing aim at improving the firm’s business competitiveness which forms a strategic link that benefits the manufacturing organizations. The study aims to investigate the relationship among constructs that leads to operational excellence while deploying LSS and sustainable manufacturing strategies in organizations. Findings Empirical data needed for the study are collected from experts belonging to various industries that are implementing both LSS and sustainable manufacturing practices. Later statistical estimates (hypotheses) are being formulated to confirm the developed measurement model. Based on the obtained results after analysis of the structural model, the statistical estimate is either being accepted or rejected. Results of this study reveal that there exists a strong correlation between LSS and sustainable manufacturing factors that leads to organizational performance. Research limitations/implications Additional indicators could be included to deal with technological advancements in sustainable manufacturing. Practical implications The study has been done with regard to Indian automotive component manufacturing organizations scenario. Hence, the inferences derived have practical relevance. Originality/value The development of structural model for the Lean Six Sigma system with sustainability considerations is the original contribution of the authors.

Impact of TQM/Six Sigma practices on company’s performance: Tunisian context

2018 ◽  
Vol 35 (9) ◽  
pp. 1881-1906 ◽  
Author(s):  
Kaouthar Lamine ◽  
Lassaad Lakhal
Keyword(s):  
Six Sigma ◽  
Positive Impact ◽  
Path Model ◽  
Research Model ◽  
Content Type ◽  
Management Commitment ◽  
Top Management Commitment ◽  
Core Practices ◽  
And Performance ◽  
Effective Integration

PurposeThe purpose of this paper is to explore the link between TQM/Six Sigma practices and their impact on performance.Design/methodology/approachBased on the literature review of research that investigated the TQM and Six Sigma best practices and performance, the TQM/Six Sigma practices are classified into three key categories: top management commitment and support (TMCS), infrastructure and core practices. This paper proposes a path model linking these practices and performance. The empirical data were obtained from a survey of 91 Tunisian companies in different sectors. The research model was tested using partial least squares (PLS) technique based on SmartPLS software.FindingsThe result shows that the implementation of Six Sigma practices is based majorly on the TQM practices. Also, it reveals the positive impact of TQM/Six Sigma practices on performance. Furthermore, the analysis of path model reveals the relative interdependence and significant link between TMCS, infrastructure, core practices and performance.Research limitations/implicationsThe path model tested in this study combines the TQM/Six Sigma practices and reveals their link with performance, which enhance the research theory of both two approaches. Moreover, it will be a useful support for the quality expert on the effective integration of TQM and Six Sigma methods.Originality/valueThis study is the first one which studies the link between TQM/Six Sigma practices and company’s performance in the Tunisian context based on PLS technique.

Analyzing Lean Six Sigma enablers: a hybrid ISM-fuzzy MICMAC approach

2017 ◽  
Vol 29 (3) ◽  
pp. 488-511 ◽  
Author(s):  
Gunjan Yadav ◽  
Tushar N. Desai
Keyword(s):  
Expert Opinion ◽  
Six Sigma ◽  
Large Scale ◽  
Lean Six Sigma ◽  
Content Type ◽  
Micmac Analysis ◽  
Fuzzy Micmac ◽  
Implementation Failure ◽  
Industry Professionals ◽  
Practical Implications

Purpose The purpose of this paper is to identify Lean Six Sigma enablers (LSSEs) and analyse the interaction among the enablers via a hierarchical model developed by employing interpretive structural modelling (ISM) and determine the driving and dependence power of enablers through fuzzy MICMAC (Matriced’ Impacts Croise´s Multiplication Applique´ea´un Classement) analysis. Design/methodology/approach An expert group of industry professionals and academicians is consulted at the initial stage as an input for ISM methodology to explore the paired relationship among LSSEs for each parameter of Lean Six Sigma (LSS) implementation. The outcome of ISM is further utilized by fuzzy MICMAC analysis to discover the enablers that are strong drivers and highly dependent. Fuzzy set is included in MICMAC analysis in order to obtain more precise output and effective model. Findings In total, 20 key enablers are identified through a literature review and expert opinion that emerged as the most significant factors towards LSS implementation. The identified enablers are portrayed into a structural form representing as input and output variables. Later, the driving and the dependence power of each enabler is presented in cluster form. Research limitations/implications The paired relationships among LSSEs are obtained through the interpretation made by the experts. The judgments of experts are subjective and may be biased; as difference in expert opinion may influence the final outcome. Conducting a large-scale survey may provide a better catch for interactions of LSSEs. Practical implications This study provides strong practical implications for researchers as well as industry practitioners. The industry professionals must deliberately focus on the identified LSSEs more conservatively during LSS implementation and the top management should plan strategically to avoid any implementation failure. Originality/value The present study identifies 20 crucial enablers of integrated LSS and presents them in a hierarchical form which will be beneficial for researchers and practitioners. The interactions among the enablers shown in cluster form will help in better execution of LSS.

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