Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines
1
Laboratory of Industrial Engineering Production and Maintenance, University of Lorraine, UFR MIM, île du Saulcy-BP 50128, 57045 Metz, France
2
ICN Business School, 54003 Nancy-Metz, France
*
Author to whom correspondence should be addressed.
Academic Editor: Christos Bouras
Appl. Sci. 2017, 7(5), 461; https://doi.org/10.3390/app7050461
Received: 8 March 2017 / Revised: 23 April 2017 / Accepted: 25 April 2017 / Published: 30 April 2017
This paper deals with a preventive maintenance strategy optimization correlated to production for a manufacturing system made by several parallel machines under lease contract. In order to minimize the total cost of production and maintenance by reducing the production system interruptions due to maintenance activities, a correlated group preventive maintenance policy is developed using the gravity center approach (GCA). The aim of this study is to determine an economical production plan and an optimal group preventive maintenance interval Tn at which all machines are maintained simultaneously. An analytical correlation between failure rate of machines and production level is considered and the impact of the preventive maintenance policy on the production plan is studied. Finally, the proposed maintenance policy GPM is compared with an individual simple strategy approach IPM in order to illustrate its efficiency.
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Keywords:
correlated preventive maintenance; parallel leased machines; random demand; repair time; production plan
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MDPI and ACS Style
ASKRI, T.; HAJEJ, Z.; REZG, N. Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines. Appl. Sci. 2017, 7, 461. https://doi.org/10.3390/app7050461
AMA Style
ASKRI T, HAJEJ Z, REZG N. Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines. Applied Sciences. 2017; 7(5):461. https://doi.org/10.3390/app7050461
Chicago/Turabian StyleASKRI, Tarek; HAJEJ, Zied; REZG, Nidhal. 2017. "Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines" Appl. Sci. 7, no. 5: 461. https://doi.org/10.3390/app7050461
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