@inproceedings{f604a934c55e4e3a8bd2084c6fc116a8,
title = "Integrating Traceability, Resilience, Agility and Supply Chain 5.0: A Fuzzy AHP Approach",
abstract = "As a result of globalization, industries are more and more confronted with intricate supply chain challenges. Consequently, firms need to focus on obtaining trustworthy details about their products at every point in the supply chain and thus boosts their competitiveness. This article presents a supply chain model based on traceability, highlighting resilience, agility, integration, and incorporating these aspects into a cohesive Supply Chain 5.0 model. Using the fuzzy analytic hierarchy process (F-AHP), the research identifies the main factors that affect how well supply chain capabilities are developed and establishes the main criteria for the study. The unified traceability-based supply chain model offers a thorough method for enhancing information transparency, disruption responsiveness, and overall operational efficiency.",
keywords = "Traceability, agility, integration, resilience, supply chain 5.0",
author = "Ariana Valer and Adrian Yacila and Jose Velasquez and Victor Pimentel and Edgar Ramos",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 ; Conference date: 29-07-2025 Through 31-07-2025",
year = "2025",
doi = "10.1007/978-3-031-98304-7\_61",
language = "Ingl{\'e}s",
isbn = "9783031983030",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "551--560",
editor = "Cengiz Kahraman and Basar Oztaysi and Selcuk Cebi and \{Cevik Onar\}, Sezi and Cagri Tolga and \{Ucal Sari\}, Irem and Irem Otay",
booktitle = "Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference",
}