Applying Fuzzy Multi-criteria Decision Making Framework in Evaluating Maintenance Systems with Emphasis on Human Tasks and Errors
doi: 10.14456/mijet.2021.10
Keywords:
Ergonomics tools and methods, task analysis, advanced manufacturing systems, human error, fuzzy-TOPSISAbstract
Human errors are responsible for a substantial percentage of the manufacturing accidents and incidents across the globe. But serious injuries, lost days-of-work, damages to assets and deaths of employees should be avoided in manufacturing practices. Notwithstanding, most research on maintenance system evaluation addresses the preventive maintenance strategy, analysing its effectiveness and efficiency while ignoring the human factor aspects. A deviation from the literature is attempted by employing the use of multi-criteria decision making approaches and incorporating the human factors into maintenance system evaluation. The fuzzy logic, analytic hierarchy process (AHP), grey relational analysis (GRA) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were used based on some key indicators. The novelty of the paper in maintenance system evaluation is by integrating safety, maintenance task and errors with human relation and equipment factors using a fuzzy multi-criteria approach. The proposed framework was tested in four different manufacturing systems and the results showed that the highest- and least-ranked maintenance system were a cement production plant and a pharmaceutical company, respectively. It is thought that human error evaluation might provide a new approach for maintenance managers to meet the zero accident goals of organisations.
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