Abstract
Selective maintenance is widely used as a reliability-centered maintenance strategy due to the limited maintenance resources. However, existing selective maintenance studies only consider basic reliability, which cannot systematically describe the operating mechanism of a multistate system, thereby resulting in the inability to obtain an optimal maintenance strategy. Moreover, intelligent manufacturing systems are highly representative of typical multistate industrial systems. In this study, a mission reliability-oriented selective maintenance optimization model for intelligent manufacturing systems that considers the uncertain maintenance effect was proposed. First, a new connotation and modeling method for mission reliability based on multistate system theory was presented to comprehensively characterize the operating mechanism of intelligent manufacturing systems. Second, a quantitative model between maintenance resources and quality based on real-time data was established to reflect the uncertain characteristics caused by repairmen and tools. Third, a selective maintenance decision model of a multistate manufacturing system was developed under the constraints of maintenance cost and time. This constraint combination optimization problem was solved using the particle swarm optimization algorithm. Finally, a case study of selective maintenance optimization for a cylinder head manufacturing system was presented to verify the proposed method.
Highlights
The key to guaranteeing the normal operation of multistate manufacturing systems and accomplishing the anticipated tasks is to develop an effective and reasonable maintenance strategy [1]
This study presents a mission reliability-oriented selective maintenance optimization model for multistate manufacturing systems and provides a framework for the establishment of this model
In the present study, an engine cylinder head manufacturing system is used as an example to validate the mission reliability-oriented selective maintenance strategy considering the uncertain maintenance quality
Summary
The key to guaranteeing the normal operation of multistate manufacturing systems and accomplishing the anticipated tasks is to develop an effective and reasonable maintenance strategy [1]. The current study proposes a mission reliabilityoriented selective maintenance optimization model for multistate manufacturing systems with uncertain maintenance effect conditions. This study presents a mission reliability-oriented selective maintenance optimization model for multistate manufacturing systems and provides a framework for the establishment of this model. Selective maintenance optimization for multistate manufacturing systems is required to consider maintenance effects and mission reliability. The formulation of a selective maintenance strategy should comprehensively analyze machine performance and product quality states and mission requirements. This study aims to develop a selective maintenance decision model for multistate manufacturing systems by integrating mission requirements, machine performance, and product quality. MISSION RELIABILITY CONNOTATION OF MULTISTATE MANUFACTURING SYSTEMS A selective maintenance strategy should be developed and optimized through a comprehensive analysis of mission demand, machine performance, and product quality data. CtIi is the minimum input load that is required by the task
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