Decomposed Fuzzy AHP: Application to Food Supply Chain Management

Özlem Arslan; Selcuk Cebi; Cengiz Kahraman

doi:10.1007/978-3-031-39438-6_18

Decomposed Fuzzy AHP: Application to Food Supply Chain Management

Özlem Arslan^*
, Selcuk Cebi
, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

8 Atıf (Scopus)

Özet

The food supply chain is a complex system that involves various stakeholders in producing, processing, transporting, storing, distributing, and selling food products. There are challenges such as food safety, traceability, sustainability, cost-effectiveness, and supply chain disruptions that need to be addressed. The Analytic Hierarchy Process (AHP) is a highly recognized and commonly utilized Multi-Criteria Decision Making (MCDM) method that applies to a broad range of real-world issues. Therefore, the decomposed fuzzy analytic hierarchy process (DFAHP) is used in this chapter to measure the performance of the food supply chain. For this, a set of criteria has been proposed to evaluate food supply chain performance. Among the determined main criteria, “Environmental” has the highest weight, followed by “Social”, “Technological Ability”, “Quality”, “Delivery”, and “Financial”.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Fuzziness and Soft Computing
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	395-420
Sayfa sayısı	26
DOI'lar	https://doi.org/10.1007/978-3-031-39438-6_18
Yayın durumu	Yayınlandı - 2023

Yayın serisi

Adı	Studies in Fuzziness and Soft Computing
Hacim	428
ISSN (Basılı)	1434-9922
ISSN (Elektronik)	1860-0808

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 17 Hedefler için Ortaklıklar

Belgeye Erişim

10.1007/978-3-031-39438-6_18

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Decomposed Fuzzy AHP: Application to Food Supply Chain Management",

abstract = "The food supply chain is a complex system that involves various stakeholders in producing, processing, transporting, storing, distributing, and selling food products. There are challenges such as food safety, traceability, sustainability, cost-effectiveness, and supply chain disruptions that need to be addressed. The Analytic Hierarchy Process (AHP) is a highly recognized and commonly utilized Multi-Criteria Decision Making (MCDM) method that applies to a broad range of real-world issues. Therefore, the decomposed fuzzy analytic hierarchy process (DFAHP) is used in this chapter to measure the performance of the food supply chain. For this, a set of criteria has been proposed to evaluate food supply chain performance. Among the determined main criteria, “Environmental” has the highest weight, followed by “Social”, “Technological Ability”, “Quality”, “Delivery”, and “Financial”.",

keywords = "DFAHP, Decomposed fuzzy sets, Food supply chain",

author = "{\"O}zlem Arslan and Selcuk Cebi and Cengiz Kahraman",

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language = "English",

series = "Studies in Fuzziness and Soft Computing",

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Decomposed Fuzzy AHP: Application to Food Supply Chain Management. / Arslan, Özlem; Cebi, Selcuk; Kahraman, Cengiz.
Studies in Fuzziness and Soft Computing. Springer Science and Business Media Deutschland GmbH, 2023. p. 395-420 (Studies in Fuzziness and Soft Computing; Hac. 428).

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

TY - CHAP

T1 - Decomposed Fuzzy AHP

T2 - Application to Food Supply Chain Management

AU - Arslan, Özlem

AU - Cebi, Selcuk

AU - Kahraman, Cengiz

PY - 2023

Y1 - 2023

N2 - The food supply chain is a complex system that involves various stakeholders in producing, processing, transporting, storing, distributing, and selling food products. There are challenges such as food safety, traceability, sustainability, cost-effectiveness, and supply chain disruptions that need to be addressed. The Analytic Hierarchy Process (AHP) is a highly recognized and commonly utilized Multi-Criteria Decision Making (MCDM) method that applies to a broad range of real-world issues. Therefore, the decomposed fuzzy analytic hierarchy process (DFAHP) is used in this chapter to measure the performance of the food supply chain. For this, a set of criteria has been proposed to evaluate food supply chain performance. Among the determined main criteria, “Environmental” has the highest weight, followed by “Social”, “Technological Ability”, “Quality”, “Delivery”, and “Financial”.

AB - The food supply chain is a complex system that involves various stakeholders in producing, processing, transporting, storing, distributing, and selling food products. There are challenges such as food safety, traceability, sustainability, cost-effectiveness, and supply chain disruptions that need to be addressed. The Analytic Hierarchy Process (AHP) is a highly recognized and commonly utilized Multi-Criteria Decision Making (MCDM) method that applies to a broad range of real-world issues. Therefore, the decomposed fuzzy analytic hierarchy process (DFAHP) is used in this chapter to measure the performance of the food supply chain. For this, a set of criteria has been proposed to evaluate food supply chain performance. Among the determined main criteria, “Environmental” has the highest weight, followed by “Social”, “Technological Ability”, “Quality”, “Delivery”, and “Financial”.

KW - DFAHP

KW - Decomposed fuzzy sets

KW - Food supply chain

UR - https://www.scopus.com/pages/publications/85176243333

U2 - 10.1007/978-3-031-39438-6_18

DO - 10.1007/978-3-031-39438-6_18

M3 - Chapter

AN - SCOPUS:85176243333

T3 - Studies in Fuzziness and Soft Computing

SP - 395

EP - 420

BT - Studies in Fuzziness and Soft Computing

PB - Springer Science and Business Media Deutschland GmbH

ER -

Decomposed Fuzzy AHP: Application to Food Supply Chain Management

Özet

Yayın serisi

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap