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Integrating Corrective Actions, Data Analytics, and Food Safety Culture in Multinational Food Manufacturing
Subject area: Science,Engineering and Technology · Area of research: Food Safety Culture
Abstract
In the complex, highly regulated world of multinational food production, consistent food safety performance requires more than regulatory compliance?it requires alignment of robust corrective action systems, advanced data analytics, and a core food safety culture. This article explores a comprehensive framework for realigning these three pillars to optimize operational resilience, risk reduction, and continuous improvement across global facilities. Corrective actions, traditionally reactive in nature, can then effectively be used as drivers for systemic improvement when catalyzed through real-time data analysis and predictive analytics. In the interim, food safety culture?everyone's values, beliefs, and practices that prioritize food safety?is a driver for the continued embedding of such improvements in different cultural and organizational settings. The article provides the mechanism by which multinationals food manufacturers can utilize varied data from such sources as CCP deviations, microbial testing, consumer comments, and audit findings to guide and rank remedial actions. The article points to the need to cultivate a proactive food safety culture in employees at all levels through participation by leadership, targeted training, and behavior metrics. Practical implementation plans are addressed, including standardization of CAPA systems worldwide, harmonized KPIs, and utilizing integrated dashboards to track improvements. Real-life examples in the form of illustrative figures and data tables are utilized to facilitate decision-making. By taking a holistic route, companies can escape compliance-based, reactive systems to a predictive, people-focused food safety management system that is scalable, adaptable, and consistent with global best practice. This article outlines a strategic roadmap for food safety and quality professionals who want to future-proof their businesses in a more sophisticated, data-driven industry.
References
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[3] Jespersen, J., & Bager, E. (2024). Measuring food safety culture in food manufacturing through multiple metrics. SOAR Institutional Repository.
[4] Khan, R. (2025). Big data analytics in food industry: A state of the art literature review. npj Science of Food, 9(1), Article 394. https://doi.org/10.1038/s41538 025 00394 y
[5] Neogen Food Safety Team. (2024). Data: A foundation of food safety culture [Conference presentation]. Food Safety Event.
[6] PathSpot. (2024, October). Leveraging data analytics for critical food safety compliance. PathSpot Insights. Retrieved from PathSpot website.
[7] ScienceDirect. (2024). Towards digitalisation of food safety management systems: Insights from a Delphi study. Trends in Food Science & Technology.
[8] Smith, A., & Lee, J. (2024). Integrating AI in food contaminant analysis: Enhancing quality and safety. Journal of Food Protection, 87(5), 786–795. https://doi.org/10.1016/j.jfp.2024.05.010
[9] Tran, H., & McKenzie, L. (2024, November). Food safety related data analytics, digital, and artificial intelligence needs and opportunities in controlled environment agriculture. Food Protection Trends.
[10] and Predictive Analytics in Food Safety Marvin, H.J.P., et al. (2020). "Application of new food analytical methods for the detection of hazards and frauds: A review." Trends in Food Science & Technology, 99, 188-198. https://doi.org/10.1016/j.tifs.2020.02.026
[11] Food Safety Culture and Global Implementation Griffith, C.J., et al. (2021). "Food safety culture: The evolution of an emerging risk factor." Current Opinion in Food Science, 39, 96-101. https://doi.org/10.1016/j.cofs.2020.12.007
[12] Digitalization and IoT in Food Manufacturing Galanakis, C.M. (2021). "Digitalization in the food sector: Challenges and opportunities." Trends in Food Science & Technology, 118, 660-672. https://doi.org/10.1016/j.tifs.2021.10.044
[13] Global Food Safety Initiative (GFSI) Food Safety Culture Position Paper GFSI (2022). "A Culture of Food Safety: A Position Paper from the Global Food Safety Initiative (GFSI)."https://mygfsi.com/wp-content/uploads/2022/01/GFSI-Food-Safety-Culture-Position-Paper.pdf
[14] Kamble, S.S., et al. (2020). "Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework." Sustainability,12(16), 6550.https://doi.org/10.3390/su12166550
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How to cite this paper
@article{1709130,
author = {Kikelomo Meshioye},
title = {Integrating Corrective Actions, Data Analytics, and Food Safety Culture in Multinational Food Manufacturing},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {8},
pages = {378-388},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709130.pdf},
abstract = {In the complex, highly regulated world of multinational food production, consistent food safety performance requires more than regulatory compliance?it requires alignment of robust corrective action systems, advanced data analytics, and a core food safety culture. This article explores a comprehensive framework for realigning these three pillars to optimize operational resilience, risk reduction, and continuous improvement across global facilities. Corrective actions, traditionally reactive in nature, can then effectively be used as drivers for systemic improvement when catalyzed through real-time data analysis and predictive analytics. In the interim, food safety culture?everyone's values, beliefs, and practices that prioritize food safety?is a driver for the continued embedding of such improvements in different cultural and organizational settings. The article provides the mechanism by which multinationals food manufacturers can utilize varied data from such sources as CCP deviations, microbial testing, consumer comments, and audit findings to guide and rank remedial actions. The article points to the need to cultivate a proactive food safety culture in employees at all levels through participation by leadership, targeted training, and behavior metrics. Practical implementation plans are addressed, including standardization of CAPA systems worldwide, harmonized KPIs, and utilizing integrated dashboards to track improvements. Real-life examples in the form of illustrative figures and data tables are utilized to facilitate decision-making. By taking a holistic route, companies can escape compliance-based, reactive systems to a predictive, people-focused food safety management system that is scalable, adaptable, and consistent with global best practice. This article outlines a strategic roadmap for food safety and quality professionals who want to future-proof their businesses in a more sophisticated, data-driven industry.},
month = {February},
}