Salmasnia, A., Ameri, E., Ghorbanian, A., Mokhtari, H. (2017). A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability. Scientia Iranica, 24(1), 355-363. doi: 10.24200/sci.2017.4039
Ali Salmasnia; Ehsan Ameri; Ali Ghorbanian; Hadi Mokhtari. "A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability". Scientia Iranica, 24, 1, 2017, 355-363. doi: 10.24200/sci.2017.4039
Salmasnia, A., Ameri, E., Ghorbanian, A., Mokhtari, H. (2017). 'A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability', Scientia Iranica, 24(1), pp. 355-363. doi: 10.24200/sci.2017.4039
Salmasnia, A., Ameri, E., Ghorbanian, A., Mokhtari, H. A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability. Scientia Iranica, 2017; 24(1): 355-363. doi: 10.24200/sci.2017.4039
A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability
2Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University
3Esfarayen University of technology
4University of Kashan
Abstract
In this study, a multi-state degraded system is studied, where status of system is degrading over time continuously. As time progresses, system may either deteriorate gradually and go to lower performance state or it may fail suddenly. If the system fails, some repairs are carried out to restore the system to the previous state. When the inspections revealed that the system has reached its last acceptable state, a PM is carried out to restore the system to the higher performance states. The goal is to find the optimal PM level so that the mean availability of the system is maximized and the total cost of the system is minimized. In this regard, Markov process is employed to represent different states of system. An integrated optimization approach is also suggested based on the desirability function statistical approach. The suggested aggregation method is robust to the potential dependency between the total cost and the mean availability. It also ensures that both objective functions fall in decision maker’s acceptable region. In order to show the efficiency of the proposed approach, a numerical example is presented and analyzed.
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