Article Info

Authors: Ibrahim Yilmaz, Babek Erdebilli, Mehdi Amine Naji, Ahmed Mousrij
Journal: Journal of Engineering Research
Publication: March 2023
Volume: 11
Issue: 1
Article: 100019
DOI: 10.1016/j.jer.2023.100019
Access: Open access

Research Focus

The article addresses maintenance performance improvement in manufacturing organizations. It emphasizes that effective maintenance supports uninterrupted operations, stakeholder satisfaction, and the achievement of strategic goals.

Maintenance Performance Challenge

The study describes maintenance management as involving two connected tasks: identifying and determining relevant maintenance indicators, and improving performance across those indicators. Because time, resources, and skills are limited, organizations need to prioritize the most critical indicators.

Fuzzy DEMATEL Framework

The proposed approach is based on the Fuzzy DEMATEL method. It identifies and prioritizes the most sufficient indicators for improving overall maintenance performance, helping decision makers understand relationships among performance factors and develop an appropriate action plan.

Case Application

The method is implemented in a Moroccan company that operates as a leader in the chemical industry. The application supports the selection of actions intended to improve both local and global maintenance performance.

Practical Implications

The results are designed to help decision makers allocate limited resources toward the most critical maintenance indicators. The resulting action plan aims to improve maintenance performance effectively and efficiently while considering multiple constraints.

Key Takeaways

  • Maintenance indicators should be identified before improvement actions are selected.
  • Limited resources make prioritization essential.
  • Fuzzy DEMATEL supports indicator prioritization in an uncertain decision environment.
  • The framework is demonstrated through a Moroccan chemical industry case.

Cite this paper

APA: Yilmaz, I., Erdebilli, B., Naji, M. A., & Mousrij, A. (2023). A Fuzzy DEMATEL framework for maintenance performance improvement: A case of Moroccan Chemical Industry. Journal of Engineering Research, 11(1), 100019. https://doi.org/10.1016/j.jer.2023.100019

MLA: Yilmaz, Ibrahim, et al. “A Fuzzy DEMATEL framework for maintenance performance improvement: A case of Moroccan Chemical Industry.” Journal of Engineering Research, vol. 11, no. 1, 2023, article 100019. https://doi.org/10.1016/j.jer.2023.100019.

IEEE: I. Yilmaz, B. Erdebilli, M. A. Naji, and A. Mousrij, “A Fuzzy DEMATEL framework for maintenance performance improvement: A case of Moroccan Chemical Industry,” Journal of Engineering Research, vol. 11, no. 1, Art. no. 100019, 2023, doi: 10.1016/j.jer.2023.100019.

Source

Read the original ScienceDirect article for complete publication and methodological details.

View the ScienceDirect article

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