IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v23y2023i1d10.1007_s12351-023-00757-x.html
   My bibliography  Save this article

Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic

Author

Listed:
  • Ezzatollah Asgharizadeh

    (University of Tehran)

  • Amir Daneshvar

    (Islamic Azad University)

  • Mahdi Homayounfar

    (Islamic Azad University)

  • Fariba Salahi

    (Islamic Azad University)

  • Mohsen Amini Khouzani

    (Islamic Azad University)

Abstract

The outbreak of the COVID-19 pandemic in recent years has raised serious concerns about the distribution of fast-moving consumer goods products, given the freshness of their use. On the one hand, the distribution of fast-moving consumer goods with multiple vehicles has led to maintaining the freshness of items at the supply chain level, and on the other hand, it involves the high costs of using vehicles. Congestion of vehicles and drivers in the distribution of items has also increased the possibility of COVID-19 transmission. The importance of the above issue has led to the modeling of a multi-level supply chain problem in the FMCG industry by considering the freshness of items to reduce COVID-19 transmission. The most important issue considered in this article is to send fresh food in the shortest possible time to customers who cannot go to stores and wait in line to buy items in the conditions of Covid-19. Therefore, the designed model provides the possibility for customers to receive fresh food in addition to reducing costs and also reduce the possibility of contracting Covid-19. Designed supply chain network levels include suppliers of raw materials, manufacturers of consumer goods, distributors and end customers. In order to optimize the objectives of the problem, including minimizing the total costs of supply chain network design and maximizing the freshness of items, various strategic and tactical decisions such as locating potential facilities, routing vehicles, and optimally allocating the flow of goods should be made. Since the supply chain network model is considered to be NP-hard, meta-heuristic algorithms have been used to solve the problem by providing a modified priority-based encoding. The results show the high efficiency of the proposed solution method in a short time.

Suggested Citation

  • Ezzatollah Asgharizadeh & Amir Daneshvar & Mahdi Homayounfar & Fariba Salahi & Mohsen Amini Khouzani, 2023. "Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    • Handle: RePEc:spr:operea:v:23:y:2023:i:1:d:10.1007_s12351-023-00757-x
    DOI: 10.1007/s12351-023-00757-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-023-00757-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-023-00757-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nozari Hamed & Fallah Mohammad & Szmelter-Jarosz Agnieszka & Krzemiński Maciej, 2021. "Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 29(4), pages 149-171, December.
    2. Pilar González-Torre & Jorge Coque, 2016. "How is a food bank managed? Different profiles in Spain," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 33(1), pages 89-100, March.
    3. Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr & Hamed Nozari, 2021. "A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    4. Javid Ghahremani-Nahr & Ramez Kian & Ehsan Sabet & Vahid Akbari, 2022. "A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach," Operational Research, Springer, vol. 22(5), pages 4685-4723, November.
    5. Jelena Končar & Aleksandar Grubor & Radenko Marić & Sonja Vučenović & Goran Vukmirović, 2020. "Setbacks to IoT Implementation in the Function of FMCG Supply Chain Sustainability during COVID-19 Pandemic," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    6. Sanjay Sharma & Amit Singh Sengar, 2012. "Inventory minimisation by service level optimisation for increased freshness and availability to end consumer in a multi echelon system: FMCG case," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(2), pages 165-188.
    7. Davis, Lauren B. & Sengul, Irem & Ivy, Julie S. & Brock, Luther G. & Miles, Lastella, 2014. "Scheduling food bank collections and deliveries to ensure food safety and improve access," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 175-188.
    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. Pavlos Delias & Fotis C. Kitsios, 2023. "Operational research and business intelligence as drivers for digital transformation," Operational Research, Springer, vol. 23(3), pages 1-8, September.

    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. Akkerman, Renzo & Buisman, Marjolein & Cruijssen, Frans & de Leeuw, Sander & Haijema, Rene, 2023. "Dealing with donations: Supply chain management challenges for food banks," International Journal of Production Economics, Elsevier, vol. 262(C).
    2. Mehrnaz Bathaee & Hamed Nozari & Agnieszka Szmelter-Jarosz, 2023. "Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty," Logistics, MDPI, vol. 7(1), pages 1-33, January.
    3. Jon M. Stauffer & Manoj Vanajakumari & Subodha Kumar & Theresa Mangapora, 2022. "Achieving equitable food security: How can food bank mobile pantries fill this humanitarian need," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1802-1821, April.
    4. Christopher M. Bacon & Gregory A. Baker, 2017. "The rise of food banks and the challenge of matching food assistance with potential need: towards a spatially specific, rapid assessment approach," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 34(4), pages 899-919, December.
    5. Muhammad Rahies Khan & Amir Manzoor, 2021. "Application and Impact of New Technologies in the Supply Chain Management During COVID-19 Pandemic: A Systematic Literature Review," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 277-292.
    6. Sucharitha, Rahul Srinivas & Lee, Seokcheon, 2022. "GMM clustering for in-depth food accessibility pattern exploration and prediction model of food demand behavior," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    7. Nair, D.J. & Grzybowska, H. & Fu, Y. & Dixit, V.V., 2018. "Scheduling and routing models for food rescue and delivery operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 18-32.
    8. Haider, Zulqarnain & Hu, Yujie & Charkhgard, Hadi & Himmelgreen, David & Kwon, Changhyun, 2022. "Creating grocery delivery hubs for food deserts at local convenience stores via spatial and temporal consolidation," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    9. Matteo Vittuari & Fabio De Menna & Silvia Gaiani & Luca Falasconi & Alessandro Politano & Jana Dietershagen & Andrea Segrè, 2017. "The Second Life of Food: An Assessment of the Social Impact of Food Redistribution Activities in Emilia Romagna, Italy," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    10. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    11. Mahmoudi, Monirehalsadat & Shirzad, Khadijeh & Verter, Vedat, 2022. "Decision support models for managing food aid supply chains: A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    12. Esra Boz & Sinan Çizmecioğlu & Ahmet Çalık, 2022. "A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    13. Marques, Alexandra & Soares, Ricardo & Santos, Maria João & Amorim, Pedro, 2020. "Integrated planning of inbound and outbound logistics with a Rich Vehicle Routing Problem with backhauls," Omega, Elsevier, vol. 92(C).
    14. Ohad Eisenhandler & Michal Tzur, 2019. "The Humanitarian Pickup and Distribution Problem," Operations Research, INFORMS, vol. 67(1), pages 10-32, January.
    15. Hamed Nozari & Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr, 2021. "The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry," Future Internet, MDPI, vol. 13(10), pages 1-18, October.
    16. Davis, Lauren B. & Jiang, Steven X. & Morgan, Shona D. & Nuamah, Isaac A. & Terry, Jessica R., 2016. "Analysis and prediction of food donation behavior for a domestic hunger relief organization," International Journal of Production Economics, Elsevier, vol. 182(C), pages 26-37.
    17. Natalia Tenuta & Thaís Barros & Romero Alves Teixeira & Rômulo Paes-Sousa, 2021. "Brazilian Food Banks: Overview and Perspectives," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    18. Lester Blackmon & Ross Chan & Omar Carbral & Geeta Chintapally & Sandip Dhara & Peter Felix & Aditi Jagdish & Srini Konakalla & Jasbir Labana & Jeff McIlvain & Jason Stone & Christopher S. Tang & Jaso, 2021. "Rapid Development of a Decision Support System to Alleviate Food Insecurity at the Los Angeles Regional Food Bank amid the COVID‐19 Pandemic," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3391-3407, October.
    19. Seyed Amirali Hoseini & Alireza Fallahpour & Kuan Yew Wong & Amir Mahdiyar & Morteza Saberi & Serdar Durdyev, 2021. "Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    20. Dalal, Jyotirmoy, 2022. "Food donation management under supply and demand uncertainties in COVID-19: A robust optimization approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

    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:spr:operea:v:23:y:2023:i:1:d:10.1007_s12351-023-00757-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.