DocumentCode
2198231
Title
The application study of stochastic service system in demand prediction of the mechanical equipment maintenance and support
Author
Shuguang, Li ; Lili, Liu ; Cheng, Xu
Author_Institution
Sch. of Mech. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
4562
Lastpage
4565
Abstract
Based on the requirement of improvement of the mechanical equipment maintenance and support, and considering the actual demand prediction and decision-making problem of equipment maintenance and support, the stochastic service system theory was used in this paper. The basic principle , distribution rules, representation methods, main models and measurement indicators of the stochastic service system model were systematically analyzed, demand prediction and decision-making method for equipment maintenance and support based on the constrain condition of support efficiency were proposed. The concept of loss function for equipment maintenance and support was established based on the examples of the equipment maintenance and support. The decision-making problem of equipment maintenance and support under complex constrain condition was solved, and the test was performed based on the decision strategy to verify the feasible and effective of the method. The conclusions of the research have a great practical meaning to innovate the demand prediction and decision-making method for equipment maintenance and support, and to improve the development of the good equipment maintenance and support.
Keywords
decision making; machinery; machinery production industries; maintenance engineering; stochastic processes; constrain condition; decision strategy; decision-making problem; demand prediction; distribution rules; loss function concept; main models; measurement indicators; mechanical equipment maintenance-support; representation methods; stochastic service system theory; support efficiency; Analytical models; Decision making; Exponential distribution; Maintenance engineering; Predictive models; Stochastic processes; Vehicles; equipment; maintenance and support; prediction and decision-making method; reliability; stochastic service system;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6067835
Filename
6067835
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