Joint optimization of capacity, production and maintenance planning of leased machines

This paper deals with capacity design, production and preventive maintenance planning of a production system made of parallel leased machines. The production system must satisfy a random demand over a finite number of periods. The number of machines to be leased, the quantity to produce by each one...

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Bibliographic Details
Published inJournal of intelligent manufacturing Vol. 31; no. 2; pp. 351 - 374
Main Authors Hajej, Zied, Rezg, Nidhal, Askri, Tarek
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2020
Springer Nature B.V
Springer Verlag (Germany)
Subjects
Business and Management
Control
Engineering Sciences
Machines
Maintenance
Manufacturing
Manufacturing execution systems
Mechatronics
Optimization
Preventive maintenance
Processes
Production
Robotics
Parallel leased machines
Degradation
Branch and bound
Production
Sequential approach
Random exploration method
Planning
Usage rates
Capacity design
Preventive maintenance
Random demand
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Summary:This paper deals with capacity design, production and preventive maintenance planning of a production system made of parallel leased machines. The production system must satisfy a random demand over a finite number of periods. The number of machines to be leased, the quantity to produce by each one and customer demand are variable. A joint optimization approach of a maintenance strategy and an economical production plan is developed by considering the influence of usage rates on the degradation of machines. Firstly, we determine a nearly optimal number of machines to be leased as well as the quantities to produce during each period. Secondly, given the obtained production plan, a periodic preventive maintenance policy with minimal repairs at failure is determined for each machine. Branch and bound and random exploration methods are used to obtain an optimal solution.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-018-1450-7