Home / Current Issue / Paper 1709131
Building A Proactive Food Safety Ecosystem, Data-Driven Corrective Action Systems, And Cultural Transformation in Multinational RTE Manufacturing
Subject area: Science,Engineering and Technology · Area of research: Food Safety Culture
Abstract
The complexity of attaining food safety in multinational Ready-to-Eat (RTE) production facilities has grown considerably with evolving consumer expectations, heightened regulatory interest, and international supply chain integration. To address these, the present paper proposes an integrated system that goes beyond traditional reactive paradigms to a proactive food safety system. The system has real-time tracing, predictive analytics, and cross-functional coordination, adhering to global standards such as FSMA (U.S. FDA, 2011), Codex Alimentarius (2020), and the GFSI standard (2018). Advances in AI and IoT technology have enabled the development of data-driven correction action systems that can identify anomalies before incidents take place (Bolton et al., 2021; Geng et al., 2023). Besides, emerging challenges such as cybersecurity and data privacy now form a critical part of digitalized safety spaces and must be followed in compliance with standards such as GDPR and NIST. The novelty of this research is that it offers an integrated multidisciplinary view that fuses technical, behavioral, and governance aspects?making it distinct from present linear or siloed models. This model not only enhances audit preparedness and compliance but also promotes a mature food safety culture within culturally diverse operating environments. Practical implications are derived for leadership involvement, anticipatory response systems, and cultural change initiatives, paving the way for strong, technology-facilitated food safety management in the post-pandemic situation.
References
[1] Bolton, D. J., et al. (2021). Impact of IoT on food safety monitoring. Trends in Food Science & Technology, 112, 123–134.
[2] Codex Alimentarius Commission. (2020). General principles of food hygiene. FAO/WHO.
[3] FDA (U.S. Food and Drug Administration). (2011). Food safety modernization act (FSMA) final rule.
[4] Geng, X., et al. (2023). AI-driven predictive analytics in food manufacturing. Computers and Electronics in Agriculture, 205, 107567.
[5] Global Food Safety Initiative (GFSI). (2018). Food safety culture guidance document.
[6] Neal, J. A., Jespersen, L., & Griffith, C. J. (2021). Food safety culture maturity models: A review. Food Control, 135, 108830.
[7] Wallace, C. A., et al. (2014). Limitations of HACCP in modern food production. Food Control, 43, 1–9.
[8] Yiannas, F. (2018). Food safety culture: Creating a behavior-based food safety management system. Springer.
[9] [Some characters in this reference could not be displayed correctly — please refer to the published PDF for the full reference.]
[10] [Some characters in this reference could not be displayed correctly — please refer to the published PDF for the full reference.]
How to cite this paper
@article{1709131,
author = {Kikelomo Meshioye},
title = {Building A Proactive Food Safety Ecosystem, Data-Driven Corrective Action Systems, And Cultural Transformation in Multinational RTE Manufacturing},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {2},
pages = {792-805},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709131.pdf},
abstract = {The complexity of attaining food safety in multinational Ready-to-Eat (RTE) production facilities has grown considerably with evolving consumer expectations, heightened regulatory interest, and international supply chain integration. To address these, the present paper proposes an integrated system that goes beyond traditional reactive paradigms to a proactive food safety system. The system has real-time tracing, predictive analytics, and cross-functional coordination, adhering to global standards such as FSMA (U.S. FDA, 2011), Codex Alimentarius (2020), and the GFSI standard (2018). Advances in AI and IoT technology have enabled the development of data-driven correction action systems that can identify anomalies before incidents take place (Bolton et al., 2021; Geng et al., 2023). Besides, emerging challenges such as cybersecurity and data privacy now form a critical part of digitalized safety spaces and must be followed in compliance with standards such as GDPR and NIST. The novelty of this research is that it offers an integrated multidisciplinary view that fuses technical, behavioral, and governance aspects?making it distinct from present linear or siloed models. This model not only enhances audit preparedness and compliance but also promotes a mature food safety culture within culturally diverse operating environments. Practical implications are derived for leadership involvement, anticipatory response systems, and cultural change initiatives, paving the way for strong, technology-facilitated food safety management in the post-pandemic situation.},
month = {August},
}