The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 54-145
Full Name: Les Sztandera
Position: Professor
Age: ON
Sex: Male
Address: Computer Information Systems
Country: UNITED STATES
Tel: 215-951-5356
Tel prefix: 1
Fax: 215-951-2652
E-mail address: SztanderaL@PhilaU.edu
Other E-mails:
Title of the Paper: Extracting information from failure equipment notifications – use of fuzzy sets to determine optimal inventory
Authors as they appear in the Paper: Les Sztandera
Email addresses of all the authors: SztanderaL@PhilaU.edu
Number of paper pages: 10
Abstract: This paper addresses the use of a data analysis approach to extract information from a large number of failure equipment notifications. Based on that, a fuzzy system, capable of learning and optimizing the knowledge from historical evidence, is formed. Subsequently, its use as a guiding tool in decision making processes at the strategic level (estimation of the number of spare parts based on the warehouse location and type of failure), is outlined. To highlight its advantages, the fuzzy sets approach for spare parts allocation is compared with a probabilistic one.
Keywords: Computer repair parts; Optimal inventory; Data analysis; Fuzzy sets
EXTENSION of the file: .pdf
Special (Invited) Session: Applied Soft Computing
Organizer of the Session: Les Sztandera
How Did you learn about congress: Optimization; Data analysis; Fuzzy sets
IP ADDRESS: 173.49.76.221
