Modeling the lean barriers for successful lean implementation: TISM approach

2018 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anup Prabhakarrao Chaple ◽  
Balkrishna Eknath Narkhede ◽  
Milind M. Akarte ◽  
Rakesh Raut
Keyword(s):  
Lean Manufacturing ◽  
Extensive Literature ◽  
Management Skills ◽  
Interpretive Structural Modeling ◽  
Power Cost ◽  
Lean Implementation ◽  
Content Type ◽  
Power And Dependence ◽  
Practical Implications ◽  
Internal Funding

Purpose Companies have been implementing lean manufacturing to improve their business performances. However, many of them have difficulties in the implementation because of various barriers, thus encountering failures. This paper aims to prioritize and analyze the lean barriers for better understanding and interpretation for successful lean implementation. Design/methodology/approach Extensive literature review has been carried out to identify the lean barriers. Subsequently, total interpretive structural modeling (TISM) has been adopted where lean experts’ inputs have been sought to obtain the self-interaction and reachability matrix. Further, driving power and dependence of lean barriers have been derived, and TISM-based lean barrier model has been developed. Findings Insufficient management time, insufficient supervisory skills and insufficient senior management skills are the significant barriers with highest driving power and lowest dependence. With low driving power, cost- and funding-related barriers such as cost of the investment, internal funding and external funding are found to be less important barriers. Practical implications This model provides a more realistic approach to the problems faced by practitioners during lean implementation. Thus, it provides a roadmap to implement lean by focusing on reducing or eliminating important barriers. Originality/value The paper not only provides a TISM-based model of contextual relationships among lean barriers but also describes the validation of this model.

Interpretive framework for analyzing lean implementation using ISM and IRP modeling

2018 ◽  
Vol 25 (9) ◽  
pp. 3406-3442 ◽  
Author(s):  
Anup Prabhakarrao Chaple ◽  
Balkrishna Eknath Narkhede ◽  
Milind M. Akarte ◽  
Rakesh Raut
Keyword(s):  
Performance Measures ◽  
Lean Manufacturing ◽  
Three Dimensional ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Road Map ◽  
Interpretive Ranking Process ◽  
And Performance

Purpose Firms have been adopting lean manufacturing to improve their business performances. However, they are facing failures or less success in implementation, mainly due to lack of understanding in relating the lean practices (LPs) from the required performance measures perspective. In view of the lack of research and the importance of understanding them, the purpose of this paper is to prioritize LPs. Design/methodology/approach As LPs are scattered in the literature and a variety of performance measures are used, an extensive literature review is first carried out to identify the LPs and performance measures. The blend of interpretive structural modeling and interpretive ranking process interpretive tools is adopted in establishing the contextual relationship among LPs and then ranking them based on the performance measures. A three-dimensional priority matrix is proposed for better explanation of the results. Findings The proposed framework can help firms better understand LPs and their levels of importance in lean implementation. Research limitations/implications The involvement of lean experts may produce some bias in evaluating the LPs. Practical implications The proposed framework can help practitioners to develop an industry-specific road-map for the result-oriented LP implementation. Based on the area of performance to be improved, practitioners can prioritize LPs for implementation. Originality/value This is the first study that provides a comprehensive review of LPs available in the literature and prioritizes them in accordance with performance with interpretive tools.

Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS)

2019 ◽  
Vol 26 (2) ◽  
pp. 498-529 ◽  
Author(s):  
Rahul Sindhwani ◽  
Varinder Kumar Mittal ◽  
Punj Lata Singh ◽  
Ankur Aggarwal ◽  
Nishant Gautam
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Top Managers ◽  
Discrete Manner ◽  
Practical Implications

Purpose Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis. Design/methodology/approach This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts. Findings An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power. Research limitations/implications The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry. Practical implications The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers. Originality/value A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

Total Interpretive Structural Modeling (TISM): approach and application

2017 ◽  
Vol 14 (2) ◽  
pp. 162-181 ◽  
Author(s):  
J. Jena ◽  
Sumati Sidharth ◽  
Lakshman S. Thakur ◽  
Devendra Kumar Pathak ◽  
V.C. Pandey
Keyword(s):  
Design Methodology ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Mutual Dependence ◽  
Step Procedure ◽  
Power And Dependence ◽  
Practical Implications

Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

Exploring and establishing the barriers to sustainable humanitarian supply chains using fuzzy interpretive structural modeling and fuzzy MICMAC analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haidar Abbas ◽  
Zainab Asim ◽  
Zuhaib Ahmed ◽  
Sanyo Moosa
Keyword(s):  
Structural Modeling ◽  
The Body ◽  
The Other ◽  
Performance Measurement System ◽  
Future Research ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Solutions ◽  
Practical Implications

Purpose The continual onset of natural and manmade disasters propels the humanitarian supply chain (HSC) efforts (by organizations, groups and individuals) to always be on a stand-by mode with more and more sustainable solutions. Despite all the sincere and coordinated efforts from all the humanitarian agents and bodies, the likely sustainable outputs are hampered by certain barriers (impediments) which exist at different levels of the HSCs. A better understanding of such barriers and their mutual relationship is deemed helpful in improving the outcomes of humanitarian efforts. Thus, the purpose of this paper is to explore, refine, establish and classify these barriers which thwart the sustainable efforts of the HSCs individually as well as collectively. Design/methodology/approach An extensive literature review is conducted to identify these barriers which were followed by soliciting the experts’ inputs to update, refine and retain the contextually relevant ones. The opinions about the nine identified and refined barriers are taken from eight experts based in the Northern India who are having at least five years of experience in humanitarian operations. Fuzzy interpretive structural modeling (FISM) is used to examine and establish a hierarchical relationship among these barriers, whereas fuzzy Matrice d’impacts croisés multiplication appliquée á un classment analysis is carried out to further classify these barriers into dependent, autonomous, linkage and dependent barriers. Findings The analysis led to the formation of a FISM model where the operational challenges affecting the performance occupy the topmost position in the hierarchy. The results reveal that inconsistent motives, coordination and communication and operational challenges affecting the performance are the dependent, poor strategic planning, capacity-related challenges and poor performance measurement system are the autonomous, and financial challenges, locational challenges and lack of proper awareness are the independent barriers. Research limitations/implications The focus of the researchers was to study and examine these barriers to sustainable HSCs with special reference to the epidemics and pandemics (especially COVID-19), and it sheds light particularly arising during and post disaster phases. Practical implications The structural model contributed by this study is expected to be meaningful for practitioners besides enriching the body of literature. In the context of pandemics, it distinguishes itself from the other available frameworks. Social implications As this research has been carried out in the context of the novel COVID-19, the framework is expected to assist policymakers in comprehending the issues impeding the sustainability of noble humanitarian efforts. Thus, ultimately it is expected to contribute to the ultimate cause of society at large. Originality/value This research endeavor distinguishes itself from the other accessible published resources in terms of the specific context, the methodological approach and the nature of respondents. This paper concludes with the practical implications and directions for future research.

Evaluating lean manufacturing barriers: an interpretive process

2017 ◽  
Vol 28 (8) ◽  
pp. 1086-1114 ◽  
Author(s):  
Linda Zhang ◽  
Balkrishna Eknath Narkhede ◽  
Anup P. Chaple
Keyword(s):  
Literature Review ◽  
Performance Measures ◽  
Lean Manufacturing ◽  
Low Cost ◽  
Evaluation Model ◽  
Extensive Literature ◽  
Lean Implementation ◽  
Content Type ◽  
Evaluation Approach ◽  
And Performance

Purpose Firms have been implementing lean manufacturing to improve their business performances. However, they have difficulties in the implementation due to the many barriers. In view of the lack of research and the importance in understanding them, the purpose of this paper is identify and evaluate the lean barriers with respect to their levels of importance in implementation. Design/methodology/approach As lean barriers are scattered in the literature and a variety of performance measures are used in practice, an extensive literature review is first carried out to identify the lean barriers and performance measures. A novel ranking technique – interpretive ranking process (IRP) – is adopted in the evaluation. In the IRP-based evaluation approach, a group discussion technique, where five Indian lean experts are involved, is applied to determine the most important lean barriers and performance measures. Several matrices are developed step by step for calculating the ranks of the selected lean barriers. Upon validating the ranks, an IRP-based lean barrier evaluation model is developed. Findings The IRP-based lean barrier evaluation model can help firms better understand lean barriers and their levels of importance in lean implementation. In the light of this model, to successfully implement lean, firms should provide sufficient management time and training to employees, develop a right culture, develop effective communication, carry out low-cost production, and obtain external funding. Practical implications The evaluation results provide the practitioners with a realistic framework to deal with many problems, especially those related to resource allocation, in lean implementation. Based on the framework, practitioners can prioritize lean barriers during implementation in accordance with performances targeted. Originality/value This is the first study that provides a comprehensive review of lean barriers available in the literature and evaluates them in accordance with performance measures. The combined use of literature review and experts in the evaluation approach justifies the value of the study.

Exploring barriers in lean implementation

2014 ◽  
Vol 5 (2) ◽  
pp. 122-148 ◽  
Author(s):  
Jagdish R. Jadhav ◽  
Shankar S. Mantha ◽  
Santosh B. Rane
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Sector ◽  
Research Work ◽  
Professional Associations ◽  
Literature Survey ◽  
Journal Articles ◽  
Lean Implementation ◽  
Content Type ◽  
Tools And Techniques ◽  
Practical Implications

Purpose – The purpose of this paper is to present an analysis of research on lean focusing on barriers in its implementation through a systematic literature survey. Design/methodology/approach – A literature survey of peer-reviewed journal articles, survey reports, master theses, doctoral theses and paradigmatic books with managerial impact is used as the research methodology. Findings – The findings derived from the evaluation of the publications analyzed have led to the identification of 24 lean barriers. The success of lean implementation will not be entirely based on application of appropriate tools and techniques alone but also on the top managements' involvement and leadership, workers' attitude, resources and the organizational culture. Research limitations/implications – This literature survey is primarily focused on lean implementation in the manufacturing sector. Practical implications – This paper explores barriers for successful lean implementation and provides a concise description of the barriers that will be helpful for further studies in the domain of lean manufacturing. Social implications – Government of many countries around the world is encouraging and helping small- and medium-scale industries to understand and implement lean systems by preparing accessible database of lean consultants, providing financial assistance for training by professionals and establishing professional associations. However, many industries experienced failure in lean implementation. This research work provides a launching pad to develop a strategy to tackle barriers for successful lean implementation. Originality/value – This paper puts forward the key barriers that should be tackled for successful lean implementation. It might represent new opportunities for rigorous and relevant research that would contribute to more translucent knowledge of lean being gained.

Knowledge management implementation in Indian automobile ancillary industries

2016 ◽  
Vol 11 (3) ◽  
pp. 802-810 ◽  
Author(s):  
Nitin Yashwant Patil ◽  
Ravi M. Warkhedkar
Keyword(s):  
Knowledge Management ◽  
Industrial Area ◽  
Total Quality ◽  
Limited Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Relationship Of ◽  
Power And Dependence ◽  
The Relationship

Purpose In the past decade, much has been written about knowledge management (KM) in the manufacturing; however, less attention has been paid to the Indian automobile ancillary industries located in Chinchwad, Pune. It is suitable to find out the relationship of the factors of the study. It helps in identifying the hierarchy of factors to be taken, and interlinking of production department with KM improves the productivity of the industries. Categorization of these principles based on their driving power (principles which hold other principles) and dependence (principles which are dependent on other principles) has also been examined for KM implementation to study the driving power and dependence power of these principles. This paper aims to determine the roadmap of KM implementation and categorize KM principles based on their driving power for manufacturing industries with the use of the interpretive structural modeling (ISM)-based model. The results indicate that the principles possessing higher driving power, such as KM, inventory control, quality control, productivity and scheduling and their interlinking. The major contribution of this research lies in the development of contextual relationship among various identified factors of KM and determination of their driving and dependence power through a single systemic framework. Design/methodology/approach In this paper, author find out the suitability ISM for Indian Automobile industries to find the relation among the variables. Findings ISM model has been developed for the hierarchy of the identified KM. As ISM model results a hypothetical hierarchy which needs a proper quantitative analysis to evaluate their percentage effectiveness in the hierarchy. Research limitations/implications It is applied to automobile industries with limited number of variables that will show the dependence variable and driving variables and their interrelations. It can be applied other fields to fine the relationship of variables. Practical implications The ISM may be used in supply chain management and total quality management to find interlinking between the variables. Originality/value The limited data collected from Pimpri Chinchwad industrial area of Pune from Maharashtra state (India).

The aftermath of COVID-19 pandemic period: barriers in implementation of social distancing at workplace

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kashif Abbass ◽  
Abdul Aziz Khan Niazi ◽  
Tehmina Fiaz Qazi ◽  
Abdul Basit ◽  
Huaming Song
Keyword(s):  
Health Workers ◽  
Matrix Multiplication ◽  
Review Of Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Employees With Disabilities ◽  
Data Collection And Analysis ◽  
Research Findings ◽  
Practical Implications

PurposeThe study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.Design/methodology/approachStudy design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis.FindingsThe literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM.Research limitations/implicationsThe study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research.Originality/valueIt is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.

To determine the critical factors for the adoption of cloud computing in the educational sector in developing countries – a fuzzy DEMATEL approach

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Riddhi Rajendra Thavi ◽  
Vaibhav S. Narwane ◽  
Rujuta Hemal Jhaveri ◽  
Rakesh D. Raut
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Influential Factors ◽  
Literature Survey ◽  
Extensive Literature ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Learning Skills ◽  
Content Type ◽  
Practical Implications

PurposeThe paper focuses on reviewing and theorizing the factors that affect the adoption of cloud computing in the education sector narrowing the focus to developing countries such as India.Design/methodology/approachThrough an extensive literature survey, critical factors of cloud computing for education were identified. Further, the fuzzy DEMATEL approach was used to define their interrelationship and its cause and effect.FindingsA total of 17 factors were identified for the study based on the literature survey and experts' input. These factors were classified as causes and effects and ranked and interrelated. “Required Learning Skills and Attitude,” “Lack of Infrastructure,” “Learners' Ability” and “Increased Investment” are found to be the most influential factors.Practical implicationsThe resultant ranking factors can be used as a basis for managing the process of cloud adoption in several institutions. The study could guide academicians, policymakers and government authorities for the effective adoption of cloud computing in education.Originality/valueThe study investigates interdependency amongst the factors of cloud computing for education in context with developing economy. This is one of first study in higher education institutes of India.

Knowledge transfer in IS offshoring: a Delphi study of the offshore coordinator role

2019 ◽  
Vol 21 (1) ◽  
pp. 36-62 ◽  
Author(s):  
Artur Strasser ◽  
Markus Westner ◽  
Susanne Strahringer
Keyword(s):  
Knowledge Transfer ◽  
Delphi Study ◽  
Management Skills ◽  
Content Type ◽  
Hard Skills ◽  
Two Factors ◽  
Research Findings ◽  
Strong Consensus ◽  
Practical Implications ◽  
Is Offshoring

Purpose This paper aims to investigate the main tasks, necessary skills, and the implementation of the offshore coordinator’s role to facilitate knowledge transfer in information systems (IS) offshoring. Design/methodology/approach This empirical exploratory study uses the classical Delphi method that includes one qualitative and two quantitative rounds to collect data on IS experts’ perceptions to seek a consensus among them. Findings The participants agreed, with strong consensus, for a set of 16 tasks and 15 skills. The tasks focused primarily on relationship management and facilitating knowledge transfer on different levels. The set of skills consists of approximately 25 per cent “hard” skills, e.g. professional language skills and project management skills, and approximately 75 per cent “soft” skills, e.g. interpersonal and communication skills and the ability to deal with conflict. Two factors mainly influence implementing the offshore coordinator role: project size and the number of projects to be supported simultaneously. Practical implications The findings provide indications of how to define and fulfill this crucial role in practice to facilitate the knowledge transfer process in a positive way. Originality/value Similarities in previous research findings are aggregated to examine the intermediate role in detail from a consolidated perspective. This results in the first comprehensive set of critical tasks and skills assigned to the competency dimensions of the universal competency framework, demonstrating which and how many competency dimensions are critical.

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