Modeling the supply chain: A fuzzy linear optimization approach

Nufer Yasin Ates; Sezi Cevik

doi:10.1142/9789812774118_0047

Modeling the supply chain: A fuzzy linear optimization approach

Nufer Yasin Ates
, Sezi Cevik

Endüstri Mühendisliği Bölümü

Istanbul Technical University

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

Özet

A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers. Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain whereas in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006
Editörler	Pierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni
Yayınlayan	World Scientific Publishing Co. Pte Ltd
Sayfalar	321-328
Sayfa sayısı	8
ISBN (Elektronik)	9812566902, 9789812566904
DOI'lar	https://doi.org/10.1142/9789812774118_0047
Yayın durumu	Yayınlandı - 2006
Etkinlik	Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy Süre: 29 Ağu 2006 → 31 Ağu 2006

Yayın serisi

Adı	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

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???event.eventtypes.event.conference???	Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006
Ülke/Bölge	Italy
Şehir	Genova
Periyot	29/08/06 → 31/08/06

Bibliyografik not

Publisher Copyright:
© 2006 by World Scientific Publishing Co. Pte. Ltd.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1142/9789812774118_0047

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ates, N. Y., & Cevik, S. (2006). Modeling the supply chain: A fuzzy linear optimization approach. In P. D'Hondt, E. E. Kerre, D. Ruan, M. De Cock, M. Nachtegael, & P. F. Fantoni (Eds.), Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 (pp. 321-328). (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789812774118_0047

Ates, Nufer Yasin ; Cevik, Sezi. / Modeling the supply chain : A fuzzy linear optimization approach. Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. editör / Pierre D'Hondt ; Etienne E. Kerre ; Da Ruan ; Martine De Cock ; Mike Nachtegael ; Paolo F. Fantoni. World Scientific Publishing Co. Pte Ltd, 2006. pp. 321-328 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

@inproceedings{72e909b26c004e2d89fab864d058f0fd,

title = "Modeling the supply chain: A fuzzy linear optimization approach",

abstract = "A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers. Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain whereas in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.",

author = "Ates, \{Nufer Yasin\} and Sezi Cevik",

note = "Publisher Copyright: {\textcopyright} 2006 by World Scientific Publishing Co. Pte. Ltd.; Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 ; Conference date: 29-08-2006 Through 31-08-2006",

year = "2006",

doi = "10.1142/9789812774118\_0047",

language = "English",

series = "Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006",

publisher = "World Scientific Publishing Co. Pte Ltd",

pages = "321--328",

editor = "Pierre D'Hondt and Kerre, \{Etienne E.\} and Da Ruan and \{De Cock\}, Martine and Mike Nachtegael and Fantoni, \{Paolo F.\}",

booktitle = "Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006",

address = "Singapore",

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Ates, NY & Cevik, S 2006, Modeling the supply chain: A fuzzy linear optimization approach. in P D'Hondt, EE Kerre, D Ruan, M De Cock, M Nachtegael & PF Fantoni (eds), Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, World Scientific Publishing Co. Pte Ltd, pp. 321-328, Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006, Genova, Italy, 29/08/06. https://doi.org/10.1142/9789812774118_0047

Modeling the supply chain: A fuzzy linear optimization approach. / Ates, Nufer Yasin; Cevik, Sezi.
Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. ed. / Pierre D'Hondt; Etienne E. Kerre; Da Ruan; Martine De Cock; Mike Nachtegael; Paolo F. Fantoni. World Scientific Publishing Co. Pte Ltd, 2006. p. 321-328 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

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

TY - GEN

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T2 - Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006

AU - Ates, Nufer Yasin

AU - Cevik, Sezi

PY - 2006

Y1 - 2006

N2 - A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers. Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain whereas in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.

AB - A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers. Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain whereas in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.

UR - https://www.scopus.com/pages/publications/85036457016

U2 - 10.1142/9789812774118_0047

DO - 10.1142/9789812774118_0047

M3 - Conference contribution

AN - SCOPUS:85036457016

T3 - Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

SP - 321

EP - 328

BT - Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

A2 - D'Hondt, Pierre

A2 - Kerre, Etienne E.

A2 - Ruan, Da

A2 - De Cock, Martine

A2 - Nachtegael, Mike

A2 - Fantoni, Paolo F.

PB - World Scientific Publishing Co. Pte Ltd

Y2 - 29 August 2006 through 31 August 2006

ER -

Ates NY, Cevik S. Modeling the supply chain: A fuzzy linear optimization approach. In D'Hondt P, Kerre EE, Ruan D, De Cock M, Nachtegael M, Fantoni PF, editörler, Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. World Scientific Publishing Co. Pte Ltd. 2006. p. 321-328. (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). doi: 10.1142/9789812774118_0047

Modeling the supply chain: A fuzzy linear optimization approach

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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