Multi-Level Optimization Policy of Opportunistic Maintenance and Inventory Control of k-out-of-n System

Abstract

For the maintenance outsourcing requirements of complex systems in service-oriented manufacturing, a multi-level optimization policy of opportunistic maintenance and inventory control (OMICP) is proposed by considering the challenges of redundant machine interference, high shutdown penalty, and spare parts inventory limit of k-out-of-n: G system. At the machine layer, the degeneration model of each machine is built. Then, preventive maintenance cycles of each machine are outputted in sequence by minimizing the maintenance cost rate. At the system level, these maintenance time points are taken as opportunities. In addition, a dynamic combination opportunistic maintenance policy is established by comprehensively considering inventory level, shutdown quantity, and redundancy interference. At the joint level, based on the opportunistic maintenance decision feedback, the inventory control policy is updated in real time by modeling and analyzing the profit balance of spare parts ordering. Through this multi-level interactive decision-making under outsourcing maintenance, the coupling relationship between complex system maintenance and inventory control is integrated to optimize the total cost of maintenance outsourcing services. The case study has shown that OMICP has the feasibility of complex decision-making and the effectiveness of cost optimization.

Keywords

• maintenance outsourcing
• <i>k</i>-out-of-<i>n</i>: g system
• opportunistic maintenance
• inventory control
• multi-level optimization