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The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0

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  • Catherine Marinagi

    (Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, Iera Odos 75, GR11855 Athens, Greece)

  • Panagiotis Reklitis

    (Organizational Innovation and Management Systems Laboratory (ORIMAS), Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, Iera Odos 75, GR11855 Athens, Greece)

  • Panagiotis Trivellas

    (Organizational Innovation and Management Systems Laboratory (ORIMAS), Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, Iera Odos 75, GR11855 Athens, Greece)

  • Damianos Sakas

    (Business Information and Communication Technologies in Value Chains Laboratory (BICTEVAC), Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, Iera Odos 75, GR11855 Athens, Greece)

Abstract

The term “Resilient Supply Chain 4.0” incorporates two research areas: Industry 4.0 and Supply Chain Resilience (SCRes). Industry 4.0 technologies include innovations such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), Augmented Reality (AR), Cloud Computing (CC), the Internet of Services (IoS), Big Data Analytics (BDA), Artificial Intelligence (AI), Digital Twins (DT), Blockchain (BC), Industrial Robotics (IR), and Additive Manufacturing (AM). Industry 4.0 technologies do not have a direct impact on SCRes, but on resilience elements such as flexibility, redundancy, visibility, agility, collaboration, robustness, and information sharing. This paper aims to investigate which of the Industry 4.0 technologies can help improve the Key Performance Indicators (KPIs) that are used for creating a Resilient Supply Chain 4.0. A non-systematic literature review has been conducted for the identification of (a) the most important constituent elements of SCRes, (b) the Industry 4.0 technologies that improve the SCRes elements, and (c) the KPIs that enhance SCRes. A systematic literature review has been conducted to identify which of the Industry 4.0 technologies have an impact on the KPIs that enhance SCRes. The findings of this work demonstrate that Industry 4.0 technologies can help improve the KPIs for a Resilient Supply Chain 4.0.

Suggested Citation

  • Catherine Marinagi & Panagiotis Reklitis & Panagiotis Trivellas & Damianos Sakas, 2023. "The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0," Sustainability, MDPI, vol. 15(6), pages 1-31, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5185-:d:1097654
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    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    3. Dmitry Ivanov, 2018. "New Drivers for Supply Chain Structural Dynamics and Resilience: Sustainability, Industry 4.0, Self-Adaptation," International Series in Operations Research & Management Science, in: Structural Dynamics and Resilience in Supply Chain Risk Management, chapter 0, pages 293-313, Springer.
    4. Tsan‐Ming Choi & James H. Lambert, 2017. "Advances in Risk Analysis with Big Data," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1435-1442, August.
    5. Aseem Kinra & Dmitry Ivanov & Ajay Das & Alexandre Dolgui, 2020. "Ripple effect quantification by supplier risk exposure assessment," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5559-5578, September.
    6. Dmitry Ivanov, 2018. "Supply Chain Management and Structural Dynamics Control," International Series in Operations Research & Management Science, in: Structural Dynamics and Resilience in Supply Chain Risk Management, chapter 0, pages 1-18, Springer.
    7. Aric R. Johnson & Marina E. Johnson & Nagen Nagarur, 2021. "Supply chain design under disruptions considering risk mitigation strategies for robustness and resiliency," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 38(1), pages 1-29.
    8. Santoro, Gabriele & Vrontis, Demetris & Thrassou, Alkis & Dezi, Luca, 2018. "The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 347-354.
    9. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    10. Abderahman Rejeb & John G. Keogh & Samuel Fosso Wamba & Horst Treiblmaier, 2021. "The potentials of augmented reality in supply chain management: a state-of-the-art review," Management Review Quarterly, Springer, vol. 71(4), pages 819-856, October.
    11. Dimitris Mourtzis & John Angelopoulos & Nikos Panopoulos, 2022. "A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0," Energies, MDPI, vol. 15(17), pages 1-29, August.
    12. Li, Yuhong & Zobel, Christopher W., 2020. "Exploring supply chain network resilience in the presence of the ripple effect," International Journal of Production Economics, Elsevier, vol. 228(C).
    13. Lohmer, Jacob & Bugert, Niels & Lasch, Rainer, 2020. "Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study," International Journal of Production Economics, Elsevier, vol. 228(C).
    14. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    15. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, December.
    16. Ajay Das & Simone Gottlieb & Dmitry Ivanov, 2019. "Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies," International Series in Operations Research & Management Science, in: Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov (ed.), Handbook of Ripple Effects in the Supply Chain, pages 261-285, Springer.
    17. Kaveh Azadeh & René De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.
    18. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    19. Chih-Hung Hsu & An-Yuan Chang & Ting-Yi Zhang & Wei-Da Lin & Wan-Ling Liu, 2021. "Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains," Sustainability, MDPI, vol. 13(5), pages 1-24, March.
    20. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
    21. Manupati, V.K. & Schoenherr, Tobias & Ramkumar, M. & Panigrahi, Suraj & Sharma, Yash & Mishra, Prakriti, 2022. "Recovery strategies for a disrupted supply chain network: Leveraging blockchain technology in pre- and post-disruption scenarios," International Journal of Production Economics, Elsevier, vol. 245(C).
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    2. Enna Hirata & Daisuke Watanabe & Athanasios Chalmoukis & Maria Lambrou, 2024. "A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
    3. Yue Chen & Yisong Li, 2024. "Storage Location Assignment for Improving Human–Robot Collaborative Order-Picking Efficiency in Robotic Mobile Fulfillment Systems," Sustainability, MDPI, vol. 16(5), pages 1-25, February.

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