Decomposed Fuzzy AHP: Application to Food Supply Chain Management

Özlem Arslan*, Selcuk Cebi, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

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”.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Pages395-420
Number of pages26
DOIs
Publication statusPublished - 2023

Publication series

NameStudies in Fuzziness and Soft Computing
Volume428
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

Bibliographical note

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

Keywords

  • Decomposed fuzzy sets
  • DFAHP
  • Food supply chain

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