Integrated Production and Predictive Maintenance Planning based on Prognostic Information

Abstract

This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy.

Predictive maintenance integrated production scheduling by applying deep generative prognostics models: approach, formulation and solution

“…Bougacha et al [9] proposed a PdM integrated IPSMP framework with two modules; an algorithm used for longterm RUL predictions of the system and an algorithm used for short-term predictions to estimate the system's future state while executing a job or maintenance.…”

“…The proposed framework adopts an iterative approach by considering "the effect of a selected decision on the system health and the new possible decision that can be introduced by a change in the estimated RUL" [9]. The authors considered a single machine with several operational profiles.…”

“…A. 9 The jobs in the flexible job shop are independent and can be sequenced in any order that benefits the objective function values.…”

“…The minimization of T total is selected with respect to the industrial applicability of the model. Any order that exceeds its due date is considered as lost opportunity associated with costs [9]. Thus, the model aims at minimizing the total tardiness where T ℴi denotes the tardiness of job J ℴi : Lastly, the model minimizes PS .…”

“…The appendix consists of Tables 5,6,7,8,9,10,11,12,13,14,15,Figures 6,7,8,9 and Algorithms 1, 2, 3, 4.…”