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Inventory and demand management for FMCG companies by investigating SCM uncertainty causes and operational solutions

Author

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  • G. Reza Nasiri

    (Alzahra University)

  • Ghazaleh Saboori

    (University of Jyvaskyla)

  • Fatemeh Monfared

    (Alzahra University)

Abstract

The impact of uncertainty on the efficiency of supply chain management is a significant factor that must be considered. This requires an understanding of the underlying causes of uncertainty and the implementation of appropriate strategies to address them. Furthermore, this can lead to an improvement in material and information flow as well as an enhancement in liquidity. The present study is being conducted in two phases: a qualitative and a quantitative phase. The objective of the qualitative phase is to identify the underlying causes of uncertainty through library research. In the quantitative phase, our research contributes to the existing literature by combining the Analytic Hierarchy Process and Cognitive Maps approaches to identify the relationships between the sources of uncertainty at each level of the Fast-moving Consumer Goods supply chain. The results revealed nine effective sources of uncertainty in the supply chain. Although the Analytic Hierarchy Process questionnaire is not without its shortcomings, including the potential for biased expert opinion, we have implemented measures to mitigate these issues and improve the reliability of the questionnaire. Moreover, experts have identified potential solutions to mitigate uncertainty in a supply chain. These include conducting a comprehensive assessment, developing contingency plans and protocols, implementing technology solutions, investing in training, and focusing on customer preferences.

Suggested Citation

  • G. Reza Nasiri & Ghazaleh Saboori & Fatemeh Monfared, 2025. "Inventory and demand management for FMCG companies by investigating SCM uncertainty causes and operational solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(4), pages 3487-3511, August.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:4:d:10.1007_s11135-025-02090-1
    DOI: 10.1007/s11135-025-02090-1
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    References listed on IDEAS

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    1. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    2. Baozhuang Niu & Zongbao Zou, 2017. "Better Demand Signal, Better Decisions? Evaluation of Big Data in a Licensed Remanufacturing Supply Chain with Environmental Risk Considerations," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1550-1565, August.
    3. Surendra Kansara & Sachin Modgil & Rupesh Kumar, 2023. "Structural transformation of fuzzy analytical hierarchy process: a relevant case for Covid-19," Operations Management Research, Springer, vol. 16(1), pages 450-465, March.
    4. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    5. Rupesh Kumar & Vishnu Nath, 2020. "IT adaptation in sugar supply chain: a study at milling level," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 35(1), pages 28-49.
    6. Wu, Junjian & Wang, Haiyan & Shang, Jennifer, 2019. "Multi-sourcing and information sharing under competition and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 278(2), pages 658-671.
    7. Marcus Linder & Mats Williander, 2017. "Circular Business Model Innovation: Inherent Uncertainties," Business Strategy and the Environment, Wiley Blackwell, vol. 26(2), pages 182-196, February.
    8. Rupesh Kumar & Rajat Agrawal & Vinay Sharma, 2015. "IT enablement in sugar supply chain: an approach for farmers," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 7(4), pages 360-381.
    9. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
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