Abstract
For the maintenance problem of intelligent series system with buffer stock, a preventive maintenance model based on the threestage time delay theory is proposed. Firstly, the intelligent series system is decomposed into n − 1 virtual series systems by using approximate decomposition method. The impact factor is introduced to establish the failure rate and maintenance rate model of each virtual machine. Secondly, a preventive maintenance model based on the three-stage time delay theory is proposed for each virtual series system. The machine state from normal operation to failure stage is divided into three steps: initial defect, serious defect, and fault, and different distribution functions are defined in different stages to simulate the degradation process of the machine. Based on the three-stage time delay theory, the machine cost ratio model was established by taking the machine monitoring time and buffer stock as decision variables and the minimum unit time cost rate as objective function. Finally, the rationality and validity of the model are verified by an example analysis, which provides a basis for the maintenance of the intelligent series system.
Highlights
Intelligent series system is an important part of modern industrial manufacturing system
For the intelligent series system with inventory buffer, the series system is decomposed into several virtual series systems with two machines and one buffer by approximate decomposition method. e failure rate and maintenance rate of the decomposed virtual machine are calculated by mathematical induction. e influence factor is introduced here, and the enterprise can determine the value of the influence factor according to the importance of different machines in the series system
For each virtual series system, a preventive maintenance model was built with the lowest cost rate as the objective function and the monitoring time and buffer stock as independent variables. e preventive maintenance model is combined with the three-stage time delay theory to better simulate the equipment degradation process
Summary
Intelligent series system is an important part of modern industrial manufacturing system. Alfieri et al [24] used the approximated mathematical programming formulation of the Buffer Allocation Problem (BAP) simulation-optimization based on the time buffer concept In these studies, the preventive maintenance strategy of the series system is considered as a whole, and it is not disassembled to study each machine in the production line. In this paper, based on the approximate decomposition method, the influence factors are introduced according to the importance of different machines in the series system to obtain the optimal maintenance strategy for each machine. Another innovation of this paper is to introduce the time delay theory into the maintenance model. If it is stopped due to failure before monitoring, fault repair can be performed
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