Modeling Approach for Predictive Maintenance Scheduling Model Based on Variable Conversion

Authors

Mingyi You, No.36 Research Institute of CETC, Jiaxing 314033, China;

Abstract

Abstract: A modeling approach for predictive maintenance (PdM) scheduling model based on decision variable conversion was proposed. Based on the proposed approach, a PdM scheduling model could be established by replacing the time decision variable in the corresponding classical time-based preventive maintenance (PM) scheduling model with product condition variable(s) and checking the correlation of the model parameters, maintenance effect and maintenance constraints with product condition. Based on the proposed modeling approach, the application case study considered an unreported predictive maintenance model in which system benefit was correlated with its condition. The proposed approach used the existing PM scheduling models for reference and simplified the modeling process for PdM scheduling models. The proposed approach can hopefully advance wide application of PdM policies.

Recommended Citation

You, Mingyi (2020) "Modeling Approach for Predictive Maintenance Scheduling Model Based on Variable Conversion," Journal of System Simulation: Vol. 29: Iss. 4, Article 19.
DOI: 10.16182/j.issn1004731x.joss.201704019
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss4/19

First Page

847

Revised Date

2015-11-12

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201704019

Last Page

852

CLC

TB114

Recommended Citation

You Mingyi. Modeling Approach for Predictive Maintenance Scheduling Model Based on Variable Conversion[J]. Journal of System Simulation, 2017, 29(4): 847-852.

DOI

10.16182/j.issn1004731x.joss.201704019