Maintenance grouping strategy for multi-component systems with dynamic contexts

Hai Canh Vu 1 Phuc Do Van 2, 1 Anne Barros Christophe Bérenguer 3
3 GIPSA-SAIGA - SAIGA
GIPSA-DA - Département Automatique, GIPSA-DIS - Département Images et Signal
Abstract : This paper presents a dynamic maintenance grouping strategy for multi-component systems with both "positive" and "negative" economic dependencies. Positive dependencies are commonly due to setup cost whereas negative dependencies are related to shutdown cost. Actually, grouping maintenance activities can save part of the setup cost, but can also in the same time increase the shutdown cost. Until now, both types of dependencies have been jointly taken into account only for simple system structures as pure series. The first aim of this paper is to investigate the case of systems with any combination of basic structures (series, parallel or k-out-of n structures). A cost model and a heuristic optimization scheme are proposed since the optimization of maintenance grouping strategy for such multi-component systems leads to a NP-complete problem. Then the second objective is to propose a finite horizon (dynamic) model in order to optimize online the maintenance strategy in the presence of dynamic contexts (change of the environment, the working condition, the production process, etc). A numerical example of a 16-component system is finally introduced to illustrate the use and the advantages of the proposed approach in the maintenance optimization framework.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01059466
Contributor : Phuc Do Van <>
Submitted on : Monday, September 1, 2014 - 10:04:59 AM
Last modification on : Monday, September 16, 2019 - 4:35:56 PM

Identifiers

Citation

Hai Canh Vu, Phuc Do Van, Anne Barros, Christophe Bérenguer. Maintenance grouping strategy for multi-component systems with dynamic contexts. Reliability Engineering and System Safety, Elsevier, 2014, 132, pp.233-249. ⟨10.1016/j.ress.2014.08.002⟩. ⟨hal-01059466⟩

Share

Metrics

Record views

454