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A new framework for risks mitigation halal food supply chain: a case study in Indonesia

Author

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  • Dana Marsetiya Utama

    (Universitas Muhammadiyah Malang)

  • Shanty Kusuma Dewi

    (Universitas Muhammadiyah Malang)

  • Melania Dindha Antika

    (Universitas Muhammadiyah Malang)

Abstract

Risk management has become a vital component of the supply chain, including the halal food supply chain, due to market volatility in the global economy. Similarly to conventional food supply chains, halal food supply chains are vulnerable to some risk factors. A crucial early stage in addressing risk is determining risk elements and assessing their weight. Ineffective risk mitigation will be avoided through risk elements. This study introduces a new framework for mitigating the halal food supply chain by combining the Delphi method, the Modified Risk Priority Number, and the House of Risk. The proposed framework identifies relevant risks in the halal food supply chain context using the Delphi method. To assess the risks of the halal food supply chain, the modified Risk Priority Number method is adopted to combine the Risk Priority Number procedure with the analytical hierarchy process. In addition, it is proposed that the House of Risk mitigate halal food supply chain priorities. A case study of the Indonesian food industry is presented to apply this framework in mitigating the halal food supply chain. The results demonstrate that this framework can be applied effectively to real-world situations. The Delphi procedure successfully identified 25 relevant halal food supply chain risks from the 36 risk elements identified. The activity of drying raw materials in the open air has the highest score according to the Modified Risk Priority Number procedure, indicating that it has the most significant potential to contaminate raw materials with non-halal components. The House of Risk procedure proposes a mitigation strategy consisting of a sterile, non-halal-free drying area. Based on this research, this framework makes a novel theoretical contribution in introducing a novel approach to effectively manage halal supply chain risk management.

Suggested Citation

  • Dana Marsetiya Utama & Shanty Kusuma Dewi & Melania Dindha Antika, 2025. "A new framework for risks mitigation halal food supply chain: a case study in Indonesia," 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. 16(8), pages 2800-2816, August.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:8:d:10.1007_s13198-025-02836-y
    DOI: 10.1007/s13198-025-02836-y
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    1. Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
    2. De Lima, Felipe Alexandre & Seuring, Stefan, 2023. "A Delphi study examining risk and uncertainty management in circular supply chains," International Journal of Production Economics, Elsevier, vol. 258(C).
    3. Shahbaz Khan & Abid Haleem & Mohd Imran Khan, 2022. "Risk assessment model for halal supply chain using an integrated approach of IFN and D number," Arab Gulf Journal of Scientific Research, Emerald Group Publishing Limited, vol. 41(3), pages 338-358, December.
    4. Ajay Kumar Pandey & Rajiv Kumar Sharma, 2017. "FMEA-based interpretive structural modelling approach to model automotive supply chain risk," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(4), pages 395-419.
    5. Dilupa Nakandala & Henry Lau & Li Zhao, 2017. "Development of a hybrid fresh food supply chain risk assessment model," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 4180-4195, July.
    6. Md. Raquibuzzaman Khan & Mohammad Jahangir Alam & Nazia Tabassum & Niaz Ahmed Khan, 2022. "A Systematic Review of the Delphi–AHP Method in Analyzing Challenges to Public-Sector Project Procurement and the Supply Chain: A Developing Country’s Perspective," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    7. Ge, Houtian & Nolan, James & Gray, Richard & Goetz, Stephan & Han, Yicheol, 2016. "Supply chain complexity and risk mitigation – A hybrid optimization–simulation model," International Journal of Production Economics, Elsevier, vol. 179(C), pages 228-238.
    8. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    9. Elie Sumarliah & Tieke Li & Bailin Wang & Indriya Indriya, 2021. "An Examination of Halal Fashion Supply Chain Management Risks Based on the Fuzzy Best-Worst Approach," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 34(4), pages 69-92, October.
    10. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    11. Mangla, Sachin Kumar & Kumar, Pradeep & Barua, Mukesh Kumar, 2015. "Risk analysis in green supply chain using fuzzy AHP approach: A case study," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 375-390.
    12. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
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