A Data-Driven Approach to Reducing Food Safety Non-Conformances in Ready-to-Eat Food Facilities

• Author(s): Kikelomo Meshioye
• Paper ID: 1709019
• Page: 140-146
• Published Date: 05-06-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 8 Issue 12 June-2025

Abstract

Ready-to-eat (RTE) food production plants are a high-risk environment where lapses in food safety procedures by just a single step can result in major public health and regulatory repercussions. In this research, a new, data-driven approach designed to minimize food safety non-conformances systematically is introduced that combines multi-source streams of data such as real-time environmental monitoring, past compliance history, and process control data into a common analytical platform. By leveraging advanced statistical modeling and machine learning-enabled classification techniques, the system is capable of accurately identifying operational pain points and high-risk factors. Deployed at five different RTE facilities within an 18-month timeframe, this methodology achieved a 35% reduction in significant non-conformances, 28% increase in sanitation audit scores, and a 22% increase in worker training efficacy. Besides, the study identifies the strategic role of proactive leadership, regulatory collaboration, and targeted interventions in instilling a robust food safety culture. The proposed model is not only consistent with international best practices such as FSMA and ISO 22000 but also a model that can be scaled for digital transformation in the food industry. These outcomes position the model as a vision-led template for establishing sustainable excellence in food safety management.

Keywords

Food safety, Ready-to-eat (RTE) foods, Data-driven approach, Non-conformance reduction, Environmental monitoring, Sanitation protocols, Employee training, Process control, HACCP, FSMA compliance

Citations

IRE Journals:
Kikelomo Meshioye "A Data-Driven Approach to Reducing Food Safety Non-Conformances in Ready-to-Eat Food Facilities" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 140-146

IEEE:
Kikelomo Meshioye "A Data-Driven Approach to Reducing Food Safety Non-Conformances in Ready-to-Eat Food Facilities" Iconic Research And Engineering Journals, 8(12)