The food and beverage industry has been modernized by technology in recent years, but among the most groundbreaking developments of all is blockchain recall traceability. This powerful form of distributed ledger technology makes it possible for food and beverage companies to digitize the full scope of their program data for enhanced traceability, and ultimately, better results. Here are a few need-to-know facts about the newest breed of solutions for the food industry.
Effective food supplier management is a resource-intensive endeavor for food and beverage companies. Ensuring your suppliers are aligning with the food safety regulations and customer requirements your facility must follow is no easy task. While manufacturers and processors have historically relied on offline systems to oversee vendor management, many are finding that web-based tools can transform their processes to drive efficiency and compliance.
Blog post courtesy of Roger Woehl, Chief Technology Officer, SafetyChain Software.
Many of the food safety and quality issues that eat away the bottom line of food production are found in the "Long Tail" of data collection and assessment.
In the last thirty years, huge progress has been made in the speed at which data can be automatically collected and analyzed. This is true in the food industry where high volumes of food quality, safety, and operational data is collected every few milliseconds, seconds, or minutes.
Blog post courtesy of Eric Hansen, Director of Technical Solutions, SafetyChain Software.
We at SafetyChain are often asked by participants in the food industry how we can help them leverage, make sense of, or progress toward the blockchain. The answer is simple—before any organization can leverage the blockchain, their key records and documents must be digitized.
Statistical process control (SPC) is a critical quality assurance activity using statistical methods to monitor and control a specific process. SPC for food manufacturing is an immense endeavor, but it is necessary for controlling the cost of quality, reducing waste, and consistently delivering on-spec customer shipments.
Food safety is the critical priority which receives the greatest amount of attention in most facilities, but what about food quality analytics? Tracking the metrics that indicate the success – or shortcomings – of your quality assurance program is also important. Here, we examine three reasons why it is important to track food quality performance in your facility.
Food and beverage companies that are SQF certified must maintain up-to-date, legible records for their food safety programs. When the quality element is introduced, recordkeeping requirements become even more robust. If your facility is certified in the SQF quality code, using a cloud-based quality management system is the best way to maintain compliance and achieve better quality outcomes.
Many food companies are required by regulation, customer requirements, or their GFSI scheme to develop an allergen program SOP. With more than 15 million people having food allergies in the U.S. alone, it is more important than ever for the food industry to proactively address risks. Below is a brief guide for developing plans and procedures to minimize allergen-related risks in your facility.
Food quality metrics tell a compelling story of how well your company is performing. The cost of quality can have a major impact on your bottom line, but tracking quality metrics allows you to address issues proactively. Through powerful automated solutions, today’s food and beverage companies are taking control of their quality by identifying and eliminating variability and reducing costs related to rework and returns.
At any given moment, are you able to pinpoint where your food safety program is succeeding – or presenting challenges – in your organization? With real-time data capture of food safety analytics, modern food software delivers up-to-the-moment insights to help you keep performance on track. These comprehensive, data-driven overviews wouldn’t be possible with offline systems, which simply collect data without unlocking the business value behind the numbers.