IDEAS home Printed from https://ideas.repec.org/a/wly/jnddns/v2025y2025i1n2153480.html

Using a Just‐In‐Time Approach in the Green Supply Chain, Taking Into Account CO2 Emissions, Under Uncertainty in the Pre‐ and Post‐COVID‐19 Situation

Author

Listed:
  • Sina Abbasi
  • Sobhan Jabari
  • Akram Mirzaei
  • Ashkan Azimi azad
  • Saba Zamanian

Abstract

The main objective of this study is to develop a fuzzy‐based approach for building a multistage, multiproduct, and multiperiod supply chain network (SCN) after and before the COVID‐19 pandemic. The proposed model optimizes production and distribution planning under uncertainty in a multiperiod stochastic process network. The model is designed to help decision‐makers manage the green supply chain (GSC) of their organizations. It was developed using the mixed‐integer linear programming (MILP) approach. The model aims to maximize customer satisfaction in the pre‐ and post‐COVID‐19 era by reducing the total cost and delivery time they face. The model also estimates production, asset locations, order allocation, and inventory levels. Under uncertain conditions, a new probabilistic MILP model addresses the multiproduct, multiperiod SCN design (SCND) problem. The two objectives of this model are to maximize time and cost by using the concepts of total cost of ownership, activity‐based costing, and just‐in‐time (JIT) production. The model’s outputs include the quantity of goods purchased, produced, inventoried, delivered, and transported and the selection of suppliers before and after the COVID situation. A numerical example solved using the above technique is given to evaluate and validate the model and the proposed solution approach. Finally, the results of the study are presented.

Suggested Citation

  • Sina Abbasi & Sobhan Jabari & Akram Mirzaei & Ashkan Azimi azad & Saba Zamanian, 2025. "Using a Just‐In‐Time Approach in the Green Supply Chain, Taking Into Account CO2 Emissions, Under Uncertainty in the Pre‐ and Post‐COVID‐19 Situation," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2025(1).
    • Handle: RePEc:wly:jnddns:v:2025:y:2025:i:1:n:2153480
    DOI: 10.1155/ddns/2153480
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/ddns/2153480
    Download Restriction: no
    File URL: https://libkey.io/10.1155/ddns/2153480?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sema Akin Bas & Beyza Ahlatcioglu Ozkok, 2020. "A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(1), pages 25-46.
    2. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    3. Zhifang Zhou & Yixiang Dai & Shangjie Han & Tao Zhang & Jinhao Liu & Xiaohong Chen, 2025. "Supplier Carbon Management and Firm Idiosyncratic Risk: Empirical Evidence From China," Journal of Supply Chain Management, Institute for Supply Management, vol. 61(1), pages 34-61, January.
    4. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    5. Syed Imran Zaman & Md. Ramjan Ali & Sharfuddin Ahmed Khan, 2024. "Just-in-time and supply chain finance: a hierarchal model development," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 47(4), pages 518-556.
    6. Sina Abbasi & Maryam Moosivand & Ilias Vlachos & Mohammad Talooni, 2023. "Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster," Sustainability, MDPI, vol. 15(21), pages 1-24, October.
    7. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    8. Wang, Reay-Chen & Liang, Tien-Fu, 2005. "Applying possibilistic linear programming to aggregate production planning," International Journal of Production Economics, Elsevier, vol. 98(3), pages 328-341, December.
    9. A Fallah-Tafti & Rashed Sahraeian & Reza Tavakkoli-Moghaddam & Masoud Moeinipour, 2014. "An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(3), pages 283-299.
    10. Sina Abbasi & Ilias Vlachos & Shabnam Rekabi & Mohammad Talooni, 2023. "Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously," Sustainability, MDPI, vol. 15(22), pages 1-23, November.
    11. Kannan, Vijay R. & Tan, Keah Choon, 2005. "Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance," Omega, Elsevier, vol. 33(2), pages 153-162, April.
    12. John Wiredu & Qian Yang & Agyemang Kwasi Sampene & Bright Akwasi Gyamfi & Simplice A. Asongu, 2024. "The effect of green supply chain management practices on corporate environmental performance: Does supply chain competitive advantage matter?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2578-2599, March.
    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. Anjan Kumar Sahu & Mantu Kumar Mahalik, 2025. "What drives more for macroeconomic instability-carbon inequality or income inequality? Panel evidence from emerging economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 12653-12676, June.
    2. Chia-Nan Wang & Thanh-Tuan Dang & Tran Quynh Le & Panitan Kewcharoenwong, 2020. "Transportation Optimization Models for Intermodal Networks with Fuzzy Node Capacity, Detour Factor, and Vehicle Utilization Constraints," Mathematics, MDPI, vol. 8(12), pages 1-27, November.
    3. Pereira, Daniel Filipe & Oliveira, José Fernando & Carravilla, Maria Antónia, 2020. "Tactical sales and operations planning: A holistic framework and a literature review of decision-making models," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Figueroa–García, Juan Carlos & Hernández, Germán & Franco, Carlos, 2022. "A review on history, trends and perspectives of fuzzy linear programming," Operations Research Perspectives, Elsevier, vol. 9(C).
    5. Sunil Kumar Saroha & Yong Ming Wang & Nguyen Xuan Tung, 2025. "Investigation of future business opportunities for India and China after COVID-19," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(8), pages 19151-19167, August.
    6. Díaz-Madroñero, Manuel & Peidro, David & Mula, Josefa & Ferriols, Francisco J., 2010. "Enfoques de programación matemática fuzzy multiobjetivo para la planificación operativa del transporte en una cadena de suministro del sector del automóvil = Fuzzy Multiobjective Mathematical Programming Approaches for Operational Transport Planning ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 9(1), pages 44-68, June.
    7. Mula, Josefa & Peidro, David & Poler, Raul, 2010. "The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 128(1), pages 136-143, November.
    8. Vasant, Pandian M. & Barsoum, Nader N. & Bhattacharya, Arijit, 2008. "Possibilistic optimization in planning decision of construction industry," International Journal of Production Economics, Elsevier, vol. 111(2), pages 664-675, February.
    9. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    10. Sumit Maheshwari & Chandra K. Jaggi & Prerna Gautam, 2026. "A state-of-the-art review of green supply chain management: observations and business insights," Annals of Operations Research, Springer, vol. 358(1), pages 193-273, March.
    11. Ming Yuan & Jingya Dang & Yujie Hong & Di Gao & Ziyi Xu, 2024. "The Impact of Supply Chain Network Centrality on Sustainable Mergers and Acquisitions: Evidence from China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    12. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    13. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    14. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    15. Prajogo, Daniel & Toy, Jordan & Bhattacharya, Ananya & Oke, Adegoke & Cheng, T.C.E., 2018. "The relationships between information management, process management and operational performance: Internal and external contexts," International Journal of Production Economics, Elsevier, vol. 199(C), pages 95-103.
    16. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    17. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    18. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    19. Liu, Yong-Jun & Zhang, Wei-Guo, 2015. "A multi-period fuzzy portfolio optimization model with minimum transaction lots," European Journal of Operational Research, Elsevier, vol. 242(3), pages 933-941.
    20. Sakawa, Masatoshi & Kato, Kosuke, 1998. "An interactive fuzzy satisficing method for structured multiobjective linear fractional programs with fuzzy numbers," European Journal of Operational Research, Elsevier, vol. 107(3), pages 575-589, June.

    More about this item

    Statistics

    Access and download statistics

    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:wly:jnddns:v:2025:y:2025:i:1:n:2153480. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/3059 .

    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.