IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v7y2023i2p33-d1168879.html
   My bibliography  Save this article

Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain

Author

Listed:
  • Tsega Y. Melesse

    (Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy)

  • Chiara Franciosi

    (Université de Lorraine, CNRS, CRAN UMR 7039, Campus Sciences, BP 70239, 54506 Vandeuvre-les-Nancy, France)

  • Valentina Di Pasquale

    (Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy)

  • Stefano Riemma

    (Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy)

Abstract

Background : Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods : This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions : The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.

Suggested Citation

  • Tsega Y. Melesse & Chiara Franciosi & Valentina Di Pasquale & Stefano Riemma, 2023. "Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain," Logistics, MDPI, vol. 7(2), pages 1-17, June.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:33-:d:1168879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/7/2/33/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/7/2/33/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benno Gerlach & Simon Zarnitz & Benjamin Nitsche & Frank Straube, 2021. "Digital Supply Chain Twins—Conceptual Clarification, Use Cases and Benefits," Logistics, MDPI, vol. 5(4), pages 1-24, December.
    2. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    3. Long Wang & Lingli Li & Qingping Zhou & Lijun Pei, 2021. "Established Digital Model of Fruit Body Growth of Agrocybe cylindracea Based on Network Programming," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-9, July.
    4. Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Rahman, Md Mamunur & Nguyen, Ruby & Lu, Liang, 2022. "Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach," Agricultural Systems, Elsevier, vol. 201(C).
    6. Erma Suryani & Rully Agus Hendrawan & Isnaini Muhandhis & Rarasmaya Indraswari, 2022. "A simulation model to improve the value of rice supply chain (A case study in East Java – Indonesia)," Journal of Simulation, Taylor & Francis Journals, vol. 16(4), pages 392-414, July.
    7. Ahmed Zainul Abideen & Veera Pandiyan Kaliani Sundram & Jaafar Pyeman & Abdul Kadir Othman & Shahryar Sorooshian, 2021. "Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics," Logistics, MDPI, vol. 5(4), pages 1-22, November.
    8. Anuj Mittal & Caroline C. Krejci, 2019. "A hybrid simulation modeling framework for regional food hubs," Journal of Simulation, Taylor & Francis Journals, vol. 13(1), pages 28-43, January.
    9. Verdouw, Cor & Tekinerdogan, Bedir & Beulens, Adrie & Wolfert, Sjaak, 2021. "Digital twins in smart farming," Agricultural Systems, Elsevier, vol. 189(C).
    10. Anselm Busse & Benno Gerlach & Joel Cedric Lengeling & Peter Poschmann & Johannes Werner & Simon Zarnitz, 2021. "Towards Digital Twins of Multimodal Supply Chains," Logistics, MDPI, vol. 5(2), pages 1-12, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adedotun Joseph Adenigbo & Joash Mageto & Rose Luke, 2023. "Adopting Technological Innovations in the Air Cargo Logistics Industry in South Africa," Logistics, MDPI, vol. 7(4), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uztürk, Deniz & Büyüközkan, Gülçin, 2022. "Smart Agriculture Technology Evaluation: A Linguistic-based MCDM Methodology," Land, Farm & Agribusiness Management Department 337128, Harper Adams University, Land, Farm & Agribusiness Management Department.
    2. Kaikang Chen & Yanwei Yuan & Bo Zhao & Liming Zhou & Kang Niu & Xin Jin & Shengbo Gao & Ruoshi Li & Hao Guo & Yongjun Zheng, 2023. "Digital Twins and Data-Driven in Plant Factory: An Online Monitoring Method for Vibration Evaluation and Transplanting Quality Analysis," Agriculture, MDPI, vol. 13(6), pages 1-18, May.
    3. Antoshchenkova, Vitalina & Onegina, Viktoriya & Gutsul, Tetiana & Boblovskyi, Oleksandr & Kravchenko, Yuliia, 2023. "Methodological approach for determining the size of the optimal raw material zone in the logistics system of dairy processing enterprise," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(1), March.
    4. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    5. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    6. Xiao Han & Yang Zheng, 2022. "Driving Elements of Enterprise Digital Transformation Based on the Perspective of Dynamic Evolution," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    7. Ahmad Ali Hakam Dani & Suhono Harso Supangkat & Fetty Fitriyanti Lubis & I Gusti Bagus Baskara Nugraha & Rezky Kinanda & Irma Rizkia, 2023. "Development of a Smart City Platform Based on Digital Twin Technology for Monitoring and Supporting Decision-Making," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    8. Santosh Kumar Srivastava & Surajit Bag, 2023. "Recent Developments on Flexible Manufacturing in the Digital Era: A Review and Future Research Directions," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 483-516, December.
    9. Benjamin Nitsche & Frank Straube, 2023. "Current State and Future of International Logistics Networks—The Role of Digitalization and Sustainability in a Globalized World," Logistics, MDPI, vol. 7(4), pages 1-9, November.
    10. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    11. Demartini, Melissa & Bertani, Filippo & Tonelli, Flavio & Raberto, Marco & Cincotti, Silvano, 2021. "An investigation into modelling approaches for industrial symbiosis: a literature review," MPRA Paper 107448, University Library of Munich, Germany.
    12. Jiamuyan Xie, 2022. "Information Sharing in a Supply Chain with Asymmetric Competing Retailers," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    13. Teresa Riso & Carla Morrone, 2023. "To Align Technological Advancement and Ethical Conduct: An Analysis of the Relationship between Digital Technologies and Sustainable Decision-Making Processes," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    14. Mezzour Ghita & Benhadou Siham & Medromi Hicham & Mounaam Amine, 2022. "HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring," Energies, MDPI, vol. 15(15), pages 1-38, July.
    15. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    16. Shuyao Li & Wenfu Wu & Yujia Wang & Na Zhang & Fanhui Sun & Feng Jiang & Xiaoshuai Wei, 2023. "Production Data Management of Smart Farming Based on Shili Theory," Agriculture, MDPI, vol. 13(4), pages 1-26, March.
    17. Xuehao Bi & Bo Wen & Wei Zou, 2022. "The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    18. Malacina, Iryna & Teplov, Roman, 2022. "Supply chain innovation research: A bibliometric network analysis and literature review," International Journal of Production Economics, Elsevier, vol. 251(C).
    19. Zhang, Chen & Di, Liping & Lin, Li & Li, Hui & Guo, Liying & Yang, Zhengwei & Yu, Eugene G. & Di, Yahui & Yang, Anna, 2022. "Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data," Agricultural Systems, Elsevier, vol. 201(C).
    20. Saoussane Srhir & Anicia Jaegler & Jairo R. Montoya‐Torres, 2023. "Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4143-4166, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:33-:d:1168879. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.