Abstract
This research presents a new method in terms of obtaining the optimal maintenance planning considering resilience engineering (RE). Presenting a multi-objective nonlinear optimization model for the determination of maintenance scheduling is a complex phenomenon since it is not proper to use mathematical methods due to various factors affecting this case. In the present paper, historical and maintenance data are used to evaluate the production and maintenance functions. Afterwards, the simulation of the activities influenced by the resilience engineering pertaining to different scenarios is performed and the obtained results are compared. It is noteworthy that these scenarios are in fact combinations of periodic maintenance and various policies. At this stage, numerous outputs such as the availability of machines and operators, efficiency, queue, and reliability are computed. Considering the variety of scenarios involved, Taguchi orthogonal array design was used to limit the number of estimated scenarios. The efficiency of scenarios was then evaluated using Data Envelopment Analysis method and the optimum scenario was selected. The approach proposed in this study would enable the managers to determine the optimal strategy from among different parameters and scenarios.
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