Enhancing Food Safety through Predictive Maintenance: A Mathematical and Engineering Approach to Reduce Equipment-Related Contamination Risks

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.