Mary C. Kurian, Shalij P.R. and Pramod V.R.
The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate…
Abstract
Purpose
The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements.
Design/methodology/approach
Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India.
Findings
The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors.
Research limitations/implications
As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness.
Practical implications
The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution.
Social implications
The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance.
Originality/value
This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.
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Prasanth S. Poduval, V. R. Pramod and Jagathy Raj V. P.
The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance…
Abstract
Purpose
The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM.
Design/methodology/approach
The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors.
Findings
Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers.
Practical implications
By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner.
Originality/value
Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.
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Ramji Nagariya, Divesh Kumar and Ishwar Kumar
The inclusion of sustainable practices in the service only supply chain (SOSC) is less evident in the literature. The aim of this research is to analyse the enablers of…
Abstract
Purpose
The inclusion of sustainable practices in the service only supply chain (SOSC) is less evident in the literature. The aim of this research is to analyse the enablers of sustainability to be implemented in (SOSC).
Design/methodology/approach
A rigorous literature review and experts’ outlook are used to identify fifteen key enablers of sustainability to be implemented in the SOSC. These key enablers are analysed by the interpretive structural modelling (ISM) and fuzzy decision making trial and evaluation laboratory (DEMATEL) technique. A case study of an Indian hospital is taken for testing the relevancy of the research.
Findings
ISM identified the six hierarchical levels of the enablers and MICMAC classified the enablers into four categories based on the driving and dependence power of the enablers. The fuzzy DEMATEL technique categorized the enablers into cause and effect groups. Four enablers were found in the effect group and eleven enablers were identified in the cause group.
Practical implications
This research will help the managers in identifying the enablers of sustainability to implement in the SOSC and to handle the critical enablers with care.
Originality/value
This is the first of its kind of study which not only identifies the key enablers to achieve sustainability in the SOSC but also derives the hierarchy levels of enablers and categorizes these enablers into cause and effect groups.
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Ashulekha Gupta and Rajiv Kumar
Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types…
Abstract
Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.
Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.
Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.
Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.
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V.R. Pramod, S.R. Devadasan, S. Muthu, V.P. Jagathyraj and G. Dhakshina Moorthy
To provide maintenance engineering community with a model named “Maintenance quality function deployment” (MQFD) for nourishing the synergy of quality function deployment (QFD…
Abstract
Purpose
To provide maintenance engineering community with a model named “Maintenance quality function deployment” (MQFD) for nourishing the synergy of quality function deployment (QFD) and total productive maintenance (TPM) and enhancing maintenance quality of products and equipment.
Design/methodology/approach
The principles of QFD and TPM were studied. MQFD model was designed by coupling these two principles. The practical implementation feasibility of MQFD model was checked in an automobile service station.
Findings
Both QFD and TPM are popular approaches and several benefits of implementing them have been reported worldwide. Yet the world has not nourished the synergic power of integrating them. The MQFD implementation study reported in this paper has revealed its practical validity.
Research limitations/implications
Since MQFD requires strategic decision making, the management commitment and support are required to test implement it. Since the case study was conducted in a public sector service station, this could not be achieved due to the requirement of following complex administrative procedures. However, the feasibility of obtaining customer voices from the practising community and translating them into technical languages has revealed the possibility of implementing MQFD in real time situations.
Originality/value
Both literature and manufacturing arenas were surveyed and found out that no model linking QFD and TPM has so far been brought out by theorists and practitioners. Hence the contribution of MQFD model is original. Since there are researches establishing the power of QFD and TPM, the essence of integrating them for attaining world class maintenance quality is of high value.
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Saumyaranjan Sahoo and Sudhir Yadav
Total productive maintenance and total quality management are two lean manufacturing initiatives that are used by manufacturing plant managers to improve operations capabilities…
Abstract
Purpose
Total productive maintenance and total quality management are two lean manufacturing initiatives that are used by manufacturing plant managers to improve operations capabilities. The purpose of this paper is to investigate the effects of standalone lean practices and lean bundles on manufacturing business performance.
Design/methodology/approach
A quantitative approach was used. The survey data were drawn from 160 manufacturing organizations in India. The respondent companies were grouped on the basis of the duration of lean production in operation and then classified based on the profile of their operations strategy. The approach, based on comparative assessment between standalone lean practices and lean bundles, has been directed toward justification of lean bundles for its support to competitive manufacturing in the context of the Indian manufacturing sector.
Findings
The paper establishes the long-term effects of lean bundles in significantly improving manufacturing business performance as compared to standalone lean practices. Further findings of the study revealed the significance of the duration of lean production in operation in achieving higher levels of manufacturing business performance.
Research limitations/implications
The study is cross-sectional in nature. It would be interesting to test the analytical framework adopted for this study for more industries and in different countries. The use of subjective measures in survey questionnaire is also another limitation of the study.
Practical implications
This study offers clear implications for practitioners, proving that they should give higher emphasis on the implementation of lean bundles using total productive maintenance and total quality management practices together, to prioritize their product, production and business strategies, to achieve sustainable competitive advantage.
Originality/value
This paper empirically examines and evaluates the effect of lean practices and bundles in the context of medium- and large-sized manufacturing industries in India. Besides, there are very few studies that comparatively assess the differences in performance contribution of various lean operational strategies considering duration of implementation of lean. Also, the theoretical contribution of the study establishes the essence of integrating total productive management and total quality management for attaining world class manufacturing is of high value.
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Rekha Goyat, Rajeev Rathi, Jose Arturo Garza-Reyes, Mahipal Singh and Mahender Singh Kaswan
The present study aims to identify the critical barriers of blockchain technology (BT) implementation in a manufacturing environment in context of developing countries.
Abstract
Purpose
The present study aims to identify the critical barriers of blockchain technology (BT) implementation in a manufacturing environment in context of developing countries.
Design/methodology/approach
In the present work, barriers of BT adoption have been investigated via literature review and screened them through expert’s input. Further, the interrelationships among screened barriers were framed using a modified total interpretive structural modelling (mTISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach. The mTISM aims to develop a contextual relationship-based performance model with the logic behind transitive links formation to explore the dominant barriers. The MICMAC approach categorizes the blockchain adoption barriers based on their driving and dependence power.
Findings
Based on the analysis, nine barriers of BT adoption in manufacturing environment were identified and finalized through statistically. The obtained results exhibit that lack of awareness about blockchain and poor training/human expertise on innovative technologies are the most critical barriers that hinder blockchain adoption. This study provides a roadmap and may facilitate manufacturing professional, consultant, governing bodies and policymakers in the preparation of active strategies to overcome challenges in adoption of BT in the running system.
Originality/value
Literature is full with analysis of barriers of BT adoption in the domain of supply chain, operation management and manufacturing in context of developed nation only. The present work is the first attempt to examine the BT adoption barriers in the manufacturing environment of developing economy and covered the mutual-interrelationship among them via modified TISM approach.
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The purpose of this paper is to propose a novel lean management tool to provide a comprehensive and flexible evaluation model while converting customer voices into technical…
Abstract
Purpose
The purpose of this paper is to propose a novel lean management tool to provide a comprehensive and flexible evaluation model while converting customer voices into technical characteristics in lean implementations.
Design/methodology/approach
For this purpose, the proposed model was constructed by belief space-evaluations, quality function deployment (QFD) and analytic hierarchy process (AHP) in interval type-2 fuzzy (IT2F) environment. This model involves three phases: determining the linguistic weights and belief-based relations with their IT2F-sets, processing information about IT2F-based belief-evaluations and ranking the technical characteristics using the defuzzified belief-based relative importance values.
Findings
The proposed model was applied to automotive after-sales service in Turkey to demonstrate its use in lean service-decisions. This model was compared with its classical and type-1 fuzzy versions. The ranking-results of the proposed model differed from those of the other versions. The reason is that the IT2F-environment offers a sensitive and flexible evaluation of the model’s linguistic scales.
Research limitations/implications
Calculations in the proposed model may be quite involved for practitioners. An Excel-dashboard was created to simplify the computational complexity.
Practical implications
Researchers/practitioners can apply this model to any lean manufacturing/service implementation.
Social implications
Company managers/employees/customers can recognize their perception-mechanisms via belief space-evaluations and experience how uncertainty in the perception-mechanism affects their decisions.
Originality/value
The proposed model provides a new lean tool due to the Bayesian model combined with QFD-AHP in IT2F-environment. This model eliminates the ambiguity in conceptual change-based lean decisions.
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Rahul Sindhwani, Varinder Kumar Mittal, Punj Lata Singh, Ankur Aggarwal and Nishant Gautam
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…
Abstract
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.
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Sampath Boopathi and Sandeep Kautish
Introduction: Cost competitiveness, customer focus, and sustainability compliance are essential for new-age firms to survive and succeed in the VUCA market environment. This study…
Abstract
Introduction: Cost competitiveness, customer focus, and sustainability compliance are essential for new-age firms to survive and succeed in the VUCA market environment. This study examines how automobile corporations have improved cost competitiveness, productivity, and product quality.
Purpose: This study examines the importance of cost competitiveness, customer focus, and sustainability compliance for the long-term survival of organisations in VUCA markets, looking at the practical efforts made by automobile corporations to enhance cost competitiveness, productivity, and quality.
Methodology: The study utilises a comprehensive analysis of the strategies and initiatives implemented by the selected automobile companies. It involves a review of relevant literature, case studies, financial data analysis, and interviews with key industry experts, providing a holistic understanding of the actions taken by these organisations to achieve their goals.
Findings: The study reveals that cost competitiveness, customer focus, and sustainability compliance are critical factors for the long-term survival and success of organisations in the automotive industry. The analysed automobile companies have undertaken practical efforts to improve cost competitiveness, enhance productivity, and ensure high-quality products, enabling them to navigate the challenges and maintain a competitive edge.
Significance: The findings of this study contribute to a deeper understanding of the importance of cost competitiveness, customer focus, and sustainability compliance in the automotive industry. It highlights the need for organisations to constantly monitor both qualitative and quantitative profit to avoid complacency and ensure long-term efficiency. The study’s insights are relevant to businesses operating in other sectors, as they face similar challenges in the VUCA market environment.