Title: Supply Chain 4.0 qualifiers for agroindustries - application of fuzzy Delphi method

Authors: Bruno da Costa Ferreira Gameiro; Eduardo Guilherme Satolo; Izabela Simon Rampasso; Alexandre Tadeu Simon

Addresses: Graduate Program in Agribusiness and Development, São Paulo State University (UNESP), São Paulo, Brazil ' Department of Management, Development and Technology, São Paulo State University (UNESP), 780 Domingos da Costa Lopes Street, 17602-496, São Paulo, Brazil ' Departamento de Ingeniería Industrial, Universidad Católica del Norte, Antofagasta, Chile ' Department of Production Engineering, Methodist University of Piracicaba, São Paulo, Brazil

Abstract: In agroindustry, specifically in Supply Chain 4.0, there are gaps when discussing technologies and qualifiers that assess the degree of maturity. This article purpose defines which are the qualifiers that evaluate Supply Chain 4.0 for agribusiness companies. A set of 158 qualifiers, associated with 13 technologies of Industry 4.0, was identified, and distributed in application and benefit. The validation was carried out through a survey with specialists, analysis of the calculation of degree of pertinence of each qualifier using the fuzzy Delphi method and analysis of the place of action. As a result, 52 qualifiers were distributed among the 13 technologies. This research contributes to the academic area by increasing publications in the agribusiness area and serving as a reference for the application of the methodology used. In the professional area, it helps assess the maturity of companies and guides the implementation process of Supply Chain 4.0.

Keywords: agribusiness; Industry 4.0; IoT; CPS; big data; RFID; machine learning; blockchain; augmented reality; robots and automation.

DOI: 10.1504/IJLSM.2025.150277

International Journal of Logistics Systems and Management, 2025 Vol.52 No.4, pp.433 - 466

Received: 23 Jan 2023
Accepted: 04 Feb 2023
Published online: 08 Dec 2025 *

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