Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process

Başar Öztayşi*, Ahmet Can Kutlu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Total Quality Management (TQM) is a management philosophy, with a quality focus, based on the participation of all organization members and has an aim of long-run success through customer satisfaction. On the other hand, performance of a company is measured as to the extent that the company achieves its corporate strategy and goals. In this study, based on the quality frameworks and current TQM literature, a performance measurement model for TQM is proposed and importance of the criteria is determined by using Fuzzy Analytical Network Process (FANP).

Original languageEnglish
Title of host publicationPractical Applications of Intelligent Systems
Subtitle of host publicationProceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)
EditorsYinglin Wang, Tianrui Li
Pages391-400
Number of pages10
DOIs
Publication statusPublished - 2011

Publication series

NameAdvances in Intelligent and Soft Computing
Volume124
ISSN (Print)1867-5662

Keywords

  • Fuzzy Analytical Network Process
  • Performance Measurement
  • Total Quality Management

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