IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i17p2737-d1469314.html
   My bibliography  Save this article

A Conceptual Framework for Optimizing Performance in Sustainable Supply Chain Management and Digital Transformation towards Industry 5.0

Author

Listed:
  • Paul-Eric Dossou

    (Department of Technology and Societal Transition, Icam Site of Grand Paris Sud, 77127 Lieusaint, France
    SPLOTT, AME, University of Gustave Eiffel, 77420 Champs-Sur-Marne, France)

  • Esther Alvarez-de-los-Mozos

    (Department of Mechanics, Design and Industrial Management, University of Deusto, Avda Universidades 24, 48007 Bilbao, Spain)

  • Pawel Pawlewski

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

The economic growth of developed or emerging countries through globalization has prompted them to increase their supply chain performance. A large number of concepts, tools, and methodologies have been proposed in support of this performance improvement. They are mainly based on the use of classical optimization or enterprise modeling methods. However, environmental and social issues, not to mention digital transformation, are often ignored or not sufficiently integrated. Indeed, the world geopolitical situation, the increase in oil prices, and the commitment to protect our earth require the integration of sustainability aspects and Industry 4.0 concepts like digital twin and artificial intelligence in transforming the supply chain. This paper focuses on defining a conceptual framework to support sustainable supply chain management and digital transformation. It aims to exploit the sustainability and digital maturity of companies to transform their supply chains and enhance their performance to meet the challenges of Industry 5.0. Several practices related to sustainability, as well as two use cases on optimization and digital twin, are presented to illustrate this framework. Finally, based on the previous practices and use cases, an adapted framework for the supply chain manager to support the transition from Industry 4.0 to Industry 5.0 has been developed, as well as a performance dashboard.

Suggested Citation

  • Paul-Eric Dossou & Esther Alvarez-de-los-Mozos & Pawel Pawlewski, 2024. "A Conceptual Framework for Optimizing Performance in Sustainable Supply Chain Management and Digital Transformation towards Industry 5.0," Mathematics, MDPI, vol. 12(17), pages 1-31, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2737-:d:1469314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/17/2737/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/17/2737/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Spiegler, Virginia L.M. & Naim, Mohamed M. & Towill, Denis R. & Wikner, Joakim, 2016. "A technique to develop simplified and linearised models of complex dynamic supply chain systems," European Journal of Operational Research, Elsevier, vol. 251(3), pages 888-903.
    2. Ana Esteso & M.M.E. Alemany & Angel Ortiz, 2018. "Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4418-4446, July.
    3. Mohammed, Ahmed & Harris, Irina & Govindan, Kannan, 2019. "A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation," International Journal of Production Economics, Elsevier, vol. 217(C), pages 171-184.
    4. Hosseini, Seyedmohsen & Morshedlou, Nazanin & Ivanov, Dmitry & Sarder, M.D. & Barker, Kash & Khaled, Abdullah Al, 2019. "Resilient supplier selection and optimal order allocation under disruption risks," International Journal of Production Economics, Elsevier, vol. 213(C), pages 124-137.
    Full references (including those not matched with items on IDEAS)

    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. Hossein Mirzaee & Sahand Ashtab, 2024. "Sustainability, Resiliency, and Artificial Intelligence in Supplier Selection: A Triple-Themed Review," Sustainability, MDPI, vol. 16(19), pages 1-28, September.
    2. Saheeb Ahmed Kayani & Salman Sagheer Warsi & Raja Awais Liaqait, 2023. "A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry," Sustainability, MDPI, vol. 15(7), pages 1-30, March.
    3. Aida Rezaei & Amir Aghsami & Masoud Rabbani, 2021. "Supplier selection and order allocation model with disruption and environmental risks in centralized supply chain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1036-1072, December.
    4. Islam, Samiul & Amin, Saman Hassanzadeh & Wardley, Leslie J., 2021. "Machine learning and optimization models for supplier selection and order allocation planning," International Journal of Production Economics, Elsevier, vol. 242(C).
    5. Mehdi Keshavarz-Ghorabaee, 2023. "Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach," Mathematics, MDPI, vol. 11(9), pages 1-33, April.
    6. Ahmed Mohammed & Morteza Yazdani & Amar Oukil & Ernesto D. R. Santibanez Gonzalez, 2021. "A Hybrid MCDM Approach towards Resilient Sourcing," Sustainability, MDPI, vol. 13(5), pages 1-30, March.
    7. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    8. Zhinan Li & Qinming Liu & Chunming Ye & Ming Dong & Yihan Zheng, 2022. "Achieving Resilience: Resilient Price and Quality Strategies of Fresh Food Dual-Channel Supply Chain Considering the Disruption," Sustainability, MDPI, vol. 14(11), pages 1-24, May.
    9. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
    10. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    11. Maciej Urbaniak & Piotr Rogala & Piotr Kafel, 2023. "Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers," Operations Management Research, Springer, vol. 16(1), pages 296-310, March.
    12. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    13. Shraddha Mishra & Surya Prakash Singh, 2022. "Designing dynamic reverse logistics network for post-sale service," Annals of Operations Research, Springer, vol. 310(1), pages 89-118, March.
    14. Najafi, Mehdi & Zolfagharinia, Hossein, 2024. "A Multi-objective integrated approach to address sustainability in a meat supply chain," Omega, Elsevier, vol. 124(C).
    15. Yanting Huang & Benrong Zheng & Zongjun Wang, 2023. "Supplier–remanufacturing and manufacturer–remanufacturing in a closed-loop supply chain with remanufacturing cost disruption," Annals of Operations Research, Springer, vol. 324(1), pages 61-92, May.
    16. Rafael Granillo-Macías & Héctor Rivera-Gómez & Isidro Jesús González-Hernández & Francisca Santana-Robles, 2024. "Reconfiguration of Agrifood Supply Chain Management in Latin America during COVID-19: A Brief Literature Review," Sustainability, MDPI, vol. 16(9), pages 1-22, April.
    17. Lin, Junyi & Zhou, Li & Spiegler, Virginia L.M. & Naim, Mohamed M. & Syntetos, Aris, 2022. "Push or Pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 300(1), pages 282-295.
    18. Ana Maria Corrales-Estrada & Loyda Lily Gómez-Santos & Cesar Augusto Bernal-Torres & Jaime Eric Rodriguez-López, 2021. "Sustainability and Resilience Organizational Capabilities to Enhance Business Continuity Management: A Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    19. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    20. Huibing Cheng & Shanshui Zheng & Jianghong Feng, 2022. "A Fuzzy Multi-Criteria Method for Sustainable Ferry Operator Selection: A Case Study," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

    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:jmathe:v:12:y:2024:i:17:p:2737-:d:1469314. 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.