DocumentCode :
1948723
Title :
Production planning in integrated maintenance context for multi-period multi-product failure-prone single-machine
Author :
Haoues, Mohammed ; Dahane, Mohammed ; Mouss, Kinza Nadia ; Rezg, N.
Author_Institution :
LAP, Univ. de Batna, Batna, Algeria
fYear :
2013
fDate :
10-13 Sept. 2013
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, a multi-period, multi-product single randomly failing and repairable machine under a combined approach of maintenance management and production control is studied. The production unit aims to satisfy the deterministic market demands with variable production rates for non-homogeneous delivery periodicities without postponement or backlog. We consider production cost depends on the using rate of machine. Also, we consider a production rate dependent failure rate. The aim of this study is to determine the optimal production rate and the production period duration for each product order those minimizing the expected total cost, including holding, shortage, production, setup and maintenance costs. We propose a mathematical model and we develop a genetic algorithm based optimization procedure. We discuss and conduct computational experiments to study the managerial insights for the developed strategy.
Keywords :
maintenance engineering; production planning; single machine scheduling; deterministic market demands; genetic algorithm based optimization procedure; integrated maintenance context; maintenance costs; maintenance management; mathematical model; multiperiod multiproduct failure prone single machine; nonhomogeneous delivery periodicities; optimal production rate; production control; production cost; production period duration; production planning; repairable machine; variable production rates; Mathematical model; Optimization; Preventive maintenance; Production; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
ISSN :
1946-0740
Print_ISBN :
978-1-4799-0862-2
Type :
conf
DOI :
10.1109/ETFA.2013.6647980
Filename :
6647980
Link To Document :
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