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

Başar Öztayşi; Ahmet Can Kutlu

doi:10.1007/978-3-642-25658-5_48

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

Başar Öztayşi^*
, Ahmet Can Kutlu

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

8 Atıf (Scopus)

Özet

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).

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Practical Applications of Intelligent Systems
Ana bilgisayar yayını alt yazısı	Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)
Editörler	Yinglin Wang, Tianrui Li
Sayfalar	391-400
Sayfa sayısı	10
DOI'lar	https://doi.org/10.1007/978-3-642-25658-5_48
Yayın durumu	Yayınlandı - 2011

Yayın serisi

Adı	Advances in Intelligent and Soft Computing
Hacim	124
ISSN (Basılı)	1867-5662

Belgeye Erişim

10.1007/978-3-642-25658-5_48

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Öztayşi, B., & Kutlu, A. C. (2011). Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process. In Y. Wang, & T. Li (Eds.), Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011) (pp. 391-400). (Advances in Intelligent and Soft Computing; Hac. 124). https://doi.org/10.1007/978-3-642-25658-5_48

Öztayşi, Başar ; Kutlu, Ahmet Can. / Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process. Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). editör / Yinglin Wang ; Tianrui Li. 2011. pp. 391-400 (Advances in Intelligent and Soft Computing).

@inproceedings{edad2122ca974cb39bad95e07a3fc560,

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

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).",

keywords = "Fuzzy Analytical Network Process, Performance Measurement, Total Quality Management",

author = "Ba{\c s}ar {\"O}ztay{\c s}i and Kutlu, \{Ahmet Can\}",

year = "2011",

doi = "10.1007/978-3-642-25658-5\_48",

language = "English",

isbn = "9783642256578",

series = "Advances in Intelligent and Soft Computing",

pages = "391--400",

editor = "Yinglin Wang and Tianrui Li",

booktitle = "Practical Applications of Intelligent Systems",

}

Öztayşi, B & Kutlu, AC 2011, Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process. in Y Wang & T Li (eds), Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). Advances in Intelligent and Soft Computing, hac. 124, pp. 391-400. https://doi.org/10.1007/978-3-642-25658-5_48

Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process. / Öztayşi, Başar; Kutlu, Ahmet Can.
Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). ed. / Yinglin Wang; Tianrui Li. 2011. p. 391-400 (Advances in Intelligent and Soft Computing; Hac. 124).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process

AU - Öztayşi, Başar

AU - Kutlu, Ahmet Can

PY - 2011

Y1 - 2011

N2 - 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).

AB - 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).

KW - Fuzzy Analytical Network Process

KW - Performance Measurement

KW - Total Quality Management

UR - https://www.scopus.com/pages/publications/84855219436

U2 - 10.1007/978-3-642-25658-5_48

DO - 10.1007/978-3-642-25658-5_48

M3 - Conference contribution

AN - SCOPUS:84855219436

SN - 9783642256578

T3 - Advances in Intelligent and Soft Computing

SP - 391

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BT - Practical Applications of Intelligent Systems

A2 - Wang, Yinglin

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ER -

Öztayşi B, Kutlu AC. Determining the importance of performance measurement criteria based on total quality management using fuzzy analytical network process. In Wang Y, Li T, editörler, Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). 2011. p. 391-400. (Advances in Intelligent and Soft Computing). doi: 10.1007/978-3-642-25658-5_48

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

Özet

Yayın serisi

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap