Abstract

In order to improve the reliability of the production line and reduce its maintenance costs, this paper establishes preventive maintenance (PM) models of the equipment, which are classified into different levels based on mixed failure rate. The differential and targeted maintaining strategies are formulated as well. First, a method for dividing important equipment and secondary equipment of a production line based on grey interval Analytic Hierarchy Process- (AHP-) Entropy method is proposed. Next, the dynamic service age regression factor and the dynamic failure rate increasing factor are combined to establish a mixed failure rate model. Finally, for the important equipment and secondary equipment, two PM models are established with the constraint of reliability, the objective of maximum availability, and minimum maintenance cost rate to determine the optimal number of PM and cycles. Combined with an example of production line equipment, the optimal maintenance strategies for important equipment and secondary equipment are obtained. The result verified the feasibility of the model, which effectively improved the reliability of the production line equipment and reduced maintenance costs.

Highlights

  • Equipment is an important part of the production line, and maintenance is important for the equipment normal operation

  • According to different weight determination methods, it can be divided into three categories: e first is subjective weighting method, such as AHP [1, 2], Delphi method [3], and fuzzy comprehensive evaluation method [4]. is method is greatly influenced by human factors with subjective judgment color. e second is objective weighting method, such as principal component analysis [5], Entropy method [6], and TOPSIS method [7]

  • For the important equipment and the secondary equipment, two preventive maintenance (PM) models are established with the reliability as the constraint, the maximum availability, and the minimum maintenance cost rate as the optimization objective to determine the optimal number of PM and cycles. e model is verified with an example of production line equipment

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Summary

Introduction

Equipment is an important part of the production line, and maintenance is important for the equipment normal operation. Erefore, it is very important for the enterprise to propose a scientific and effective method to divide the production line equipment. Lim and Park [23] proposed a periodic PM model considering the number of maintenances and virtual age reduction factor. Zhuo et al [25] considered the virtual age reduction factor related to the PM costs, virtual age, and learning effect in the process of maintenance and established a maintenance strategy model aiming at minimizing the expected costs. Ese studies only considered 2–4 parameters when establishing the failure rate model, which was not comprehensive for the production line equipment, and further research is needed. For the important equipment and the secondary equipment, two PM models are established with the reliability as the constraint, the maximum availability, and the minimum maintenance cost rate as the optimization objective to determine the optimal number of PM and cycles. For the important equipment and the secondary equipment, two PM models are established with the reliability as the constraint, the maximum availability, and the minimum maintenance cost rate as the optimization objective to determine the optimal number of PM and cycles. e model is verified with an example of production line equipment

Determining Index Combination Weights for Interval
Determining Index Weights for Interval AHP
Determining Index Weights for Interval Entropy Method
Establishing the PM Model for Production Line Equipment
Example Application of Production Line Equipment
Evaluation index
10 Grey category e 1 e 2 e 3 e 4
Conclusion
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