4.7 Article

Preventive maintenance period decision for elevator parts based on multi-objective optimization method

Journal

JOURNAL OF BUILDING ENGINEERING
Volume 44, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jobe.2021.102984

Keywords

Elevator parts; Age reduction factor; Failure rate increasing factor; Multi-objective optimization model; Monte Carlo simulation method; Maintenance period

Funding

  1. National Key Research and Devel-opment Program of China [2019YFF0302203]
  2. Fundamental Research Funds for the Central Universities

Ask authors/readers for more resources

This paper presents a decision-making method for elevator parts' maintenance, which determines a reasonable maintenance period through analyzing historical fault data and establishing a mixed failure rate model. The study shows that a reasonable maintenance period can reduce the risk of equipment failure, save costs, and avoid excessive waste of resources.
Elevator maintenance plays an important role in the safe and reliable operation of elevators. However, elevator maintenance is carried under some relevant norms and standards at present, and little research has been conducted to explore how to analytically make maintenance period decision for elevator parts. In addition, the unreasonable selection of the elevator maintenance period will cause excessive cost and low equipment operation efficiency. A decision-making method for elevator parts' maintenance is provided in this paper, which aims to solve the problem of seeking a reasonable maintenance cycle for elevator parts. First of all, the historical fault data of elevator parts is used to analyze their fault distribution law. In order to accurately reflect the changes of parts after maintenance and repair, the age reduction factor and the failure rate increasing factor are introduced to establish a mixed failure rate model. Accordingly, the cost rate and utilization rate model are established under the comprehensive consideration of cost and time factors in the maintenance process. Furthermore, a multi-objective optimization model is built with maintenance frequency as the decision variable. Then, Monte Carlo simulation method is used to solve the optimization model, and the best maintenance period of the parts within the service time is obtained. Finally, the proposed method is applied to the elevator parts to find out their optimum maintenance frequency, and the results show the effectiveness of the method. A reasonable maintenance period can not only reduce the risk of equipment failure, but also save costs so as to avoid excessive waste of resources.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available