A fuzzy inference system for supply chain risk management

Hülya Behret; Başar Öztayşi; Cengiz Kahraman

doi:10.1007/978-3-642-25658-5_52

A fuzzy inference system for supply chain risk management

Hülya Behret^*
, Başar Öztayşi
, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Erciyes University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

34 Atıf (Scopus)

Özet

Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events. In the last decade risk management has become a vital part of supply chain management. The risk sources of supply chain are identified in five areas namely: transport/distribution, manufacturing, order cycle, warehousing, and procurement. The aim of the study is to build a supply chain risk measurement system using Fuzzy Inference Systems (FIS).

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	429-438
Sayfa sayısı	10
DOI'lar	https://doi.org/10.1007/978-3-642-25658-5_52
Yayın durumu	Yayınlandı - 2011

Yayın serisi

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

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1007/978-3-642-25658-5_52

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Behret, H., Öztayşi, B., & Kahraman, C. (2011). A fuzzy inference system for supply chain risk management. 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. 429-438). (Advances in Intelligent and Soft Computing; Hac. 124). https://doi.org/10.1007/978-3-642-25658-5_52

Behret, Hülya ; Öztayşi, Başar ; Kahraman, Cengiz. / A fuzzy inference system for supply chain risk management. 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. 429-438 (Advances in Intelligent and Soft Computing).

@inproceedings{1613c7aaa2104f86b5af5d6654b2de58,

title = "A fuzzy inference system for supply chain risk management",

abstract = "Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events. In the last decade risk management has become a vital part of supply chain management. The risk sources of supply chain are identified in five areas namely: transport/distribution, manufacturing, order cycle, warehousing, and procurement. The aim of the study is to build a supply chain risk measurement system using Fuzzy Inference Systems (FIS).",

keywords = "Fuzzy Inference Systems, Fuzzy Sets, Risk Management, Supply Chain",

author = "H{\"u}lya Behret and Ba{\c s}ar {\"O}ztay{\c s}i and Cengiz Kahraman",

year = "2011",

doi = "10.1007/978-3-642-25658-5\_52",

language = "English",

isbn = "9783642256578",

series = "Advances in Intelligent and Soft Computing",

pages = "429--438",

editor = "Yinglin Wang and Tianrui Li",

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Behret, H, Öztayşi, B & Kahraman, C 2011, A fuzzy inference system for supply chain risk management. 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. 429-438. https://doi.org/10.1007/978-3-642-25658-5_52

A fuzzy inference system for supply chain risk management. / Behret, Hülya; Öztayşi, Başar ; Kahraman, Cengiz.
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. 429-438 (Advances in Intelligent and Soft Computing; Hac. 124).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A fuzzy inference system for supply chain risk management

AU - Behret, Hülya

AU - Öztayşi, Başar

AU - Kahraman, Cengiz

PY - 2011

Y1 - 2011

N2 - Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events. In the last decade risk management has become a vital part of supply chain management. The risk sources of supply chain are identified in five areas namely: transport/distribution, manufacturing, order cycle, warehousing, and procurement. The aim of the study is to build a supply chain risk measurement system using Fuzzy Inference Systems (FIS).

AB - Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events. In the last decade risk management has become a vital part of supply chain management. The risk sources of supply chain are identified in five areas namely: transport/distribution, manufacturing, order cycle, warehousing, and procurement. The aim of the study is to build a supply chain risk measurement system using Fuzzy Inference Systems (FIS).

KW - Fuzzy Inference Systems

KW - Fuzzy Sets

KW - Risk Management

KW - Supply Chain

UR - https://www.scopus.com/pages/publications/84855214634

U2 - 10.1007/978-3-642-25658-5_52

DO - 10.1007/978-3-642-25658-5_52

M3 - Conference contribution

AN - SCOPUS:84855214634

SN - 9783642256578

T3 - Advances in Intelligent and Soft Computing

SP - 429

EP - 438

BT - Practical Applications of Intelligent Systems

A2 - Wang, Yinglin

A2 - Li, Tianrui

ER -

Behret H, Öztayşi B , Kahraman C. A fuzzy inference system for supply chain risk management. 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. 429-438. (Advances in Intelligent and Soft Computing). doi: 10.1007/978-3-642-25658-5_52

A fuzzy inference system for supply chain risk management

Özet

Yayın serisi

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap