Title :
Optimal Inventory of Computer Repair Parts: A Fuzzy Systems Approach
Author :
Sztandera, Les M.
Author_Institution :
Comput. Inf. Syst., Philadelphia Univ., Philadelphia, PA, USA
Abstract :
The aim of this research is to use a data analysis/mining approach to extract information from a large number of failure equipment notifications, form a fuzzy system that would be capable of learning and optimizing the knowledge from historical evidence, and subsequently use it as a guiding tool in decision making processes.
Keywords :
computer equipment testing; data analysis; data mining; decision making; fuzzy systems; maintenance engineering; computer repair parts; data analysis; data mining; decision making; failure equipment notifications; fuzzy systems approach; guiding tool; historical evidence; optimal inventory; computer repair parts; data mining; fuzzy system; optimal inventory;
Conference_Titel :
Dependable Computing (PRDC), 2010 IEEE 16th Pacific Rim International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-8975-6
Electronic_ISBN :
978-0-7695-4289-8
DOI :
10.1109/PRDC.2010.38
