Food Safety Modernization Act 204
A New FDA Regulation
Software-Driven Solutions for FSMA 204 Compliance
The Food Safety Modernization Act (FSMA) 204 aims to enhance food traceability, prevent outbreaks, and modernize safety measures across the food industry. GE Vernova’s software solutions are designed to help food manufacturers meet regulatory requirements with ease and efficiency.
A Comprehensive Integrated Approach
Regulatory agencies and retailers are raising requirements for preventative strategies, pushing food safety and quality programs to emphasize improved processing and quality initiatives. A holistic, integrated approach enhances production control and fosters collaboration among suppliers, producers, customers, regulators, and consumers. Leveraging real-time intelligence, analytics, standard practices, and traceability delivers deep operational insights, helping identify risks early. This enables proactive, real-time corrective actions when processes deviate, ensuring consistent food safety, high quality, and productivity gains across the production environment.
Manufacturing KnowHow: FSMA 204 Podcast Series
FSMA 204 Podcast
Episode 1 of 3
Industry leaders explain FSMA 204, the new FDA rule impacting all food manufacturers. The time to prepare is now.
FSMA 204 Podcast
Episode 2 of 3
FSMA 204 experts dive deeper into FDA rules and how MES helps food manufacturers boost compliance, traceability, and efficiency.
FSMA 204 Podcast
Episode 3 of 3
Integrate MES with ERP systems, generate FDA-required electronically sortable spreadsheets (ESS) and optimize processes for traceability.
Critical Software Capabilities
Real-time, mobile intelligence delivers relevant, contextualized information to operators and decision-makers anytime, anywhere. By providing role- and location-based insights, it enables faster, more informed decisions. This technology helps navigate today’s overwhelming data landscape, enhancing operational efficiency and improving decision-making on the plant floor.
Trending and analytics help eliminate product risks by supporting “right the first time” quality. For example, temperature trends alerted a food manufacturer to inconsistent oven performance, posing a safety risk. Real-time data enabled operators to adjust ovens before reaching critical limits, preventing failures and ensuring product safety through proactive, on-the-fly corrections.
The Future of Food Safety: Core Elements of FSMA 204 Compliance
- Holistic data collection and storage
- A structured model – data in context (batch, product type, grade, etc.)
- Enforced digitized work processes/SOPs
- A complete collection of relevant data (for operational technology/information technology)
Accurately document what happened during all phases of production
To meet traceability requirements, it is important to have full knowledge of the origin and quantities of the materials flowing through the system, along with precise knowledge of when these materials were used in the process.
Detailed documentation of material usage is particularly important when one lot of ingredients can flow to multiple batching systems over an extended period of production.
- View genealogy links for serials/lots/batches with complete parent/child hierarchies represented
- View details of each link (lot/serial) and where and when it is used
Outcomes
Minimize Food Safety Risks
Minimizing food safety risks requires a proactive, tech-driven approach. By enabling end-to-end traceability, utilizing AI-powered tools for rapid analysis, and fostering a strong food safety culture, organizations can prevent outbreaks, respond faster to recalls, and protect consumers effectively.
Enhance Process Control & Consistency
Enhancing process control and consistency involves leveraging smarter tools, predictive analytics, and real-time data to streamline food safety operations. Strengthening root cause analysis and adopting modern inspection methods ensure uniform standards, reducing variability and improving outcomes.
Improving OEE and Quality with Analytics
Improving OEE and quality with analytics means using advanced data tools to identify inefficiencies, predict issues, and optimize production. AI-driven insights boost equipment effectiveness, reduce downtime, and enhance product quality by enabling faster, data-backed decisions.
Track and Trace
Track and Trace leverages tech-enabled traceability to monitor products from farm to table. By capturing and analyzing data at every step, businesses can quickly address recalls, enhance food safety, and ensure compliance, while providing transparency and confidence to consumers.