DocumentCode :
2699111
Title :
Modeling and optimization of consumed maintenance resources dynamic allocation in multi-echelon support system
Author :
Wang, Yabin ; Liu, Hongbo ; Chen, Lingyun ; Gu, Hongqi
Author_Institution :
Dept. of Manage. Eng., Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
494
Lastpage :
499
Abstract :
Maintenance resources are the important part of the equipment support system and essential for the equipment maintenance. Maintenance resources can be classified into consumed resources and occupied resources. To effectively handle the consumed resources inventory control, a series of inventory models for consumed resources in a multi-echelon support system were proposed, which includes stock dynamic allocation model and optimization model. The optimization mode was solved by a marginal analysis method, which can provide us an optimal scheme by the iterative calculation of marginal analysis. A numerical example of the spare parts is presented to illustrate the results of using the proposed methods, which can provide an effective theoretic sustentation for maintenance support decision-maker.
Keywords :
iterative methods; maintenance engineering; optimisation; production equipment; stock control; consumed maintenance resources dynamic allocation; consumed resources inventory control; equipment maintenance; equipment support system; iterative calculation; maintenance resource classification; marginal analysis method; multiechelon support system; optimization model; spare parts; stock dynamic allocation model; Dynamic scheduling; Maintenance engineering; Optimization; Organizations; Probability; Resource management; Silicon; consumed maintenance resources; dynamic allocation; modeling; multi-echelon; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246282
Filename :
6246282
Link To Document :
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