DocumentCode :
1910765
Title :
Joint Optimization of Inventory Control and Maintenance Policy
Author :
Li, Wei ; Zuo, Ming J.
Author_Institution :
Alberta Univ., Edmonton, Alta.
fYear :
2007
fDate :
22-25 Jan. 2007
Firstpage :
317
Lastpage :
322
Abstract :
Inventory optimization attempts to find the distribution of inventory that best meets specified cost and availability goals. When equipment availability is considered, most reported work treats the impact of preventive maintenance (PM) and corrective maintenance (CM) on the production system as a given cost corresponding to the loss resulting from unmet demand. This paper treats the impact of PM and CM on the production system as variables that affect the cost of inventory control. Furthermore, despite the wealth of literature in the fields of inventory control optimization and maintenance strategy optimization, there are few reported studies of interaction between these two kinds of optimization problems. For this reason, the other main objective of this paper is to jointly analyze optimal production control and maintenance activities, in addition to inventory control optimization. A simulation model is developed to find the optimal number of major failures and the optimal level of safety stock. The results show that joint optimization of maintenance strategy and production control policy leads to a significant reduction in total system operating costs.
Keywords :
failure analysis; optimisation; preventive maintenance; production control; stock control; corrective maintenance; inventory control; joint optimization; maintenance policy; optimal production control; preventive maintenance; production system; Availability; Cost function; Degradation; Inventory control; Manufacturing systems; Preventive maintenance; Production control; Production systems; Safety; Warranties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium, 2007. RAMS '07. Annual
Conference_Location :
Orlando, FL
ISSN :
0149-144X
Print_ISBN :
0-7803-9766-5
Electronic_ISBN :
0149-144X
Type :
conf
DOI :
10.1109/RAMS.2007.328069
Filename :
4126370
Link To Document :
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