Framework for sustainable maintenance system: ISM–fuzzy MICMAC and TOPSIS approach

Abstract

Due to the increasing complexity of manufacturing processes and automation, maintenance of all machines and equipments has become challenging task for production managers today. Due to lack of sensitivity for maintenance, share of maintenance cost in total product cost is also increasing along with decreased productivity. Organizations are either quite slow or getting failed in updating their maintenance systems with time. Keeping in view the importance of maintenance in today’s context, this study has tried to develop a framework for a sustainable maintenance system for manufacturing organizations. Usually organizations are not able to identify critical factors for effective maintenance. Therefore, in this context, the study has identified fourteen factors for the effective maintenance management from the literature review. Some of these factors are process oriented and some are result oriented. Interpretive structural modeling approach is applied for the development of structural relationship among the factors from a strategic perspective. Fuzzy MICMAC analysis is then carried out to categorize these factors based on their driving and dependence value. Further to prioritise major driving factors, Technique for order preferences by similarity of an ideal solution approach has been also applied. It is observed that top management support and commitment, strategic planning and implementation, continuous upgradation of maintenance system to reduce manufacturing lead time and cost are major factors to ensure the sustainable competitive advantage.

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Authors are grateful to the Editor of the journal and reviewers for giving valuable suggestions to improve the quality and content of this research paper.

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Correspondence to Rajesh Kumar Singh.

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Singh, R.K., Gupta, A. Framework for sustainable maintenance system: ISM–fuzzy MICMAC and TOPSIS approach. Ann Oper Res 290, 643–676 (2020). https://doi.org/10.1007/s10479-019-03162-w

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Keywords

  • Maintenance management
  • Sustainability
  • Productivity
  • Manufacturing strategy
  • Fuzzy methods