Enhancing Food Safety through Predictive Maintenance: A Mathematical and Engineering Approach to Reduce Equipment-Related Contamination Risks
Year: 2025
Type: article
Abstract: This article examines the critical role of predictive maintenance in enhancing food safety protocols across the food processing industry. By integrating advanced mathematical modeling with engineering principles, companies can significantly reduce equipment-related contamination risks. Using Schwan's Company as a primary case study, we demonstrate how predictive maintenance strategies can be effectively implemented to improve food safety outcomes, reduce operational costs, and enhance regulatory compliance. The mathematical frameworks and engineering methodologies described herein provide actionable insights for food safety professionals and operations managers seeking to modernize their maintenance approaches.
Authors: Adama Gaye, Frank Ankama, Ibrahim Abdul Abdulrahman
Institution: Federal University of Technology Minna
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410156554