Abstract: This study focuses on the multi-location operation and maintenance problem of the leasehold service network where original equipment manufacturers provide global maintenance services. We propose an opportunistic maintenance optimization policy with dynamic interactions between the machine level, the system level and the network level. According to individual health evolutions of leased machines, preventive maintenance intervals are scheduled at the machine level. At the system level, group maintenance schemes are arranged by using leasing profit optimization. By pulling the requirements of multi-location leased lines, the balancing of lease service demand and maintenance resource constraint is handled at the network level. Therefore, a triple-level opportunistic maintenance policy is developed and an alternating algorithm based on hierarchical progression is then designed. Through arithmetic analysis, this proposed policy is proved to be effective and feasible.

Key words: opportunistic maintenance, leasehold service network, profit optimization, multi-location operation and maintenance