DocumentCode :
1750573
Title :
A fuzzy approach to evaluate quality awards process
Author :
Paladini, Edson Pacheco
Author_Institution :
Dept. of Production & Syst. Eng., Univ. Fed. de Santa Catarina, Florianopolis, Brazil
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2596
Abstract :
This paper describes a fuzzy process to evaluate the performance of different companies in terms of quality management (quality award processes). The model considers several elements but highlights seven of them: the company clients´ satisfaction; the organized system for the improvement management; clear objectives of the quality program (known by everyone); the participating management in the company; the structure of the quality program; the training process: the performance indicators and the main company executive of the company (if he is compromised with quality). Fuzzy set theory is used in the evaluation model, which deals with the application of concepts, policies, strategies and techniques from total quality management. The parameters from the Quality Brazilian Award are used as a reference.
Keywords :
business data processing; fuzzy set theory; quality management; company performance evaluation; fuzzy process; fuzzy set theory; performance indicators; quality awards process; total quality management; training; Companies; Fuzzy set theory; Quality awards; Total quality management; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.943632
Filename :
943632
Link To Document :
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