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A Fuzzy Multicriteria Decision-Making Approach for Assessing the Preparedness Level for the Implementation of Logistics 4.0: A Case Study in the Food Industry

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14056))

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Abstract

Industries must prepare diagnoses that indicate their actual state in using Industry 4.0 technologies, especially in Logistics 4.0. So then, focused on the food sector industries, designing and testing a model to carry out this diagnosis is necessary. This project aims to present a Diagnostic and Characterization Model for the Food Sector Industries of the city of Barranquilla based on multifactorial strategies that help them evaluate and make decisions to increase the possibilities of implementing and adopting technologies established under the Logistics 4.0 in your supply chain. In this context, designing and testing a Diagnostic and Characterization Model for the Food Sector Industries will be carried out, applying a multicriteria methodology as AHP-TOPSIS and thus generating a tool that allows its applicability in the medium and long term.

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Acknowledgement

Gilberto Santos acknowledge Fundação para a Ciência e a Tecnologia (FCT) I.P., under the project UIDB/04057/2020.

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Institución Universitaria de Barranquilla IUB, Barranquilla, Colombia

    Genett Jimenez-Delgado

  2. Department of Industrial Engineering, Universidad Autonoma del Caribe, Barranquilla, Colombia

    Monica Ardila-Parra

  3. Research Institute for Design, Media and Culture, School of Design, Polytechnic Institute Cavado Ave, Campus Do IPCA, Vila Frescaínha S. Martinho, 4750-810, Barcelos, Portugal

    Gilberto Santos

  4. Engineering School, Polytechnic of Porto, Porto, Portugal

    José Carlos Sá

  5. Escola Superior de Tecnologia E Gestão, Polytechnic of Porto, Felgueiras, Portugal

    Vanda Lima

  6. SOLTRAF SAS, Barranquilla, Colombia

    Leonardo Campis-Freyle

  7. Economic Science Faculty, Department of Financial Administration, Corporación Universitaria Latinoamericana CUL, Barranquilla, Colombia

    Lesvia Valero

  8. Department of Industrial Engineering, Corporación Universitaria Latinoamericana CUL, Barranquilla, Colombia

    Hugo Hernandez

  9. Department of Productivity and Innovation, Universidad de La Costa CUC, Barranquilla, Colombia

    Dionicio Neira-Rodado

  10. Department of Humanities, Universidad de La Costa CUC, Barranquilla, Colombia

    Jannys Hernández-Ureche

Authors
  1. Genett Jimenez-Delgado
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  2. Monica Ardila-Parra
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  3. Gilberto Santos
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  4. José Carlos Sá
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  5. Vanda Lima
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  6. Leonardo Campis-Freyle
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  7. Lesvia Valero
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  8. Hugo Hernandez
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  9. Dionicio Neira-Rodado
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  10. Jannys Hernández-Ureche
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Corresponding author

Correspondence to Genett Jimenez-Delgado .

Editor information

Editors and Affiliations

  1. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  2. Tokyo University of Science, Tokyo, Japan

    Yumi Asahi

  3. University of Bucharest, Bucharest, Romania

    Adela Coman

  4. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

  5. Eindhoven University of Technology, Eindhoven, The Netherlands

    Matthias Rauterberg

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Jimenez-Delgado, G. et al. (2023). A Fuzzy Multicriteria Decision-Making Approach for Assessing the Preparedness Level for the Implementation of Logistics 4.0: A Case Study in the Food Industry. In: Mori, H., Asahi, Y., Coman, A., Vasilache, S., Rauterberg, M. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14056. Springer, Cham. https://doi.org/10.1007/978-3-031-48044-7_3

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  • DOI: https://doi.org/10.1007/978-3-031-48044-7_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-48044-7

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