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The role of forecasting in preventing supply chain disruptions during the COVID-19 pandemic: a distributor-retailer perspective

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  • Karzan Mahdi Ghafour

    (University of Sulaimani)

  • Abdulqadir Rahomee Ahmed Aljanabi

    (Sulaimani Polytechnic University)

Abstract

Strengthen the resilience of supply chains was observed to be critical issue by firms to confront disruptions triggered by unprecedented demand and severe disasters. However, the extraordinarily challenging disruptions of COVID-19 pandemic, unlike any disasters seen in recent times. This study aims to provide a practical solution to supply chain (SC) disruptions by estimating the best forecasting models for demand fluctuations in the context of food and beverages. A method is proposed to predict SC disruptions and enhance SC resilience. Double exponential smoothing (DES) and the ARIMA model are adopted as forecasting approaches to estimate demand and optimum inventory quantities during three different periods of disruption associated with the COVID-19 outbreak. A downstream SC involving 2 distributors and 56 retailers is considered to elaborate inventory measurements (optimal inventory levels and total costs). The results demonstrate that distributors can reduce costs by dispensing with some retailers, particularly those who order low quantities and thus incur unjustified expenses. Furthermore, high accuracy is obtained, with minimal differences between the real data and the model’s forecast. Existing research has largely ignored supply disruptions in the distributor-retailer relationship. This study provides distributors and SC managers important knowledge on SC disruptions and identifies appropriate forecasting methods to increase SC resilience. It also provides distributors and other SC managers unprecedented insights on tackling crises of stability like COVID-19.

Suggested Citation

  • Karzan Mahdi Ghafour & Abdulqadir Rahomee Ahmed Aljanabi, 2023. "The role of forecasting in preventing supply chain disruptions during the COVID-19 pandemic: a distributor-retailer perspective," Operations Management Research, Springer, vol. 16(2), pages 780-793, June.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00327-y
    DOI: 10.1007/s12063-022-00327-y
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    References listed on IDEAS

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    1. Youssef Tliche & A. Taghipour & B. Canel-Depitre, 2019. "Downstream Demand Inference in decentralized supply chains," Post-Print hal-02173401, HAL.
    2. Karzan Mahdi Ghafour, 2018. "Optimising safety stocks and reorder points when the demand and the lead-time are probabilistic in cement manufacturing," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 11(3), pages 387-398.
    3. Jessica Olivares-Aguila & Waguih ElMaraghy, 2021. "System dynamics modelling for supply chain disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1757-1775, March.
    4. Jill E. Hobbs, 2021. "Food supply chain resilience and the COVID‐19 pandemic: What have we learned?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(2), pages 189-196, June.
    5. Song, Shuang & Goh, Jenson C.L. & Tan, Hugh T.W., 2021. "Is food security an illusion for cities? A system dynamics approach to assess disturbance in the urban food supply chain during pandemics," Agricultural Systems, Elsevier, vol. 189(C).
    6. Holt, Charles C., 2004. "Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages'," International Journal of Forecasting, Elsevier, vol. 20(1), pages 11-13.
    7. Prentice, Catherine & Chen, Jinyan & Stantic, Bela, 2020. "Timed intervention in COVID-19 and panic buying," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    8. Karzan Ghafour, 2017. "The Role of Items Quantity Constraint to Control the Optimal Economic Order Quantity," Modern Applied Science, Canadian Center of Science and Education, vol. 11(9), pages 1-61, September.
    9. B. James Deaton & Brady J. Deaton, 2021. "Food security and Canada's agricultural system challenged by COVID‐19: One year later," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(2), pages 161-166, June.
    10. Tliche, Y. & Taghipour, A. & Canel-Depitre, B., 2019. "Downstream Demand Inference in decentralized supply chains," European Journal of Operational Research, Elsevier, vol. 274(1), pages 65-77.
    11. Holt, Charles C., 2004. "Forecasting seasonals and trends by exponentially weighted moving averages," International Journal of Forecasting, Elsevier, vol. 20(1), pages 5-10.
    12. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    13. World Bank, 2021. "Global Economic Prospects, June 2021," World Bank Publications - Books, The World Bank Group, number 35647, April.
    14. World Bank, 2021. "Global Economic Prospects, January 2021," World Bank Publications - Books, The World Bank Group, number 34710, April.
    15. Sube Singh & Ramesh Kumar & Rohit Panchal & Manoj Kumar Tiwari, 2021. "Impact of COVID-19 on logistics systems and disruptions in food supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 1993-2008, April.
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