Tyson Foods improves plant operations with the PI System
- ChallengeLack of visibility into plant operations caused unnecessary waste, undetected production line flaws, and costly delays
- SolutionUse the FactoryTalk Historian, powered by the PI System, to reduce waste and giveaway within the Jimmy Dean facility and to automate its quality assurance reports
- BenefitsOverall yield improvement of 0.1% in the first six months, savings that paid for the improvement project
Tyson Foods processes 68 million pounds of meat per week in products ranging from breakfast sandwiches to corn dogs. It is the world’s second-largest processer and marketer of chicken, beef, and pork. “Up until four years ago, we had zero visibility into plant-operations data, so decisions were being made without data to back it up,” said Jonathan Reichart, senior engineer at Tyson. With the need for operational visibility, Tyson turned to the FactoryTalk Historian, powered by the PI System, to make informed, data-driven decisions.
Using data to reduce sausage-chub giveaway
Tyson’s Jimmy Dean sausage plant processes over 150 million pounds of sausage annually in the form of rolls, links, and patties. Machines carefully time the packaging of each one-pound roll. The company’s goal is to be as close as possible to 1 pound without being underweight. However, fat percentage and meat temperature can affect flow rate, which means a variance in overages. Any overage is considered a giveaway, and packages that are too heavy or too light must be cut open and reintroduced into the line.
To reduce giveaway and waste, Tyson tagged 11 lines of its timed clipping machines, which package over 105 million pounds of roll sausage every year. Before using the historian, Tyson would send a quality-assurance person out every 15 minutes to check the product line. Once the process was automated, however, it could see weight by line, uptime percentage, and the number of saleable chubs (cylindrical sausage packages) produced. The data quickly showed that the target weight was set too close to 1 pound. As a result, packages were often underweight. Tyson realized that it was actually more efficient to raise the target weight because doing so would reduce rework and waste.
Insight into line prevent recalls
When Tyson’s cooking facility received a deviation from the USDA for the sausage-cooking line, it was down for two full weeks to ensure that the process controls were in place for safe cooking. With process testing costing upward of $50,000, and the average cost of a food recall totaling over $30 million, Tyson needed to get the line back up and running quickly, but only if the right process controls were in place.
With the help of the historian, Tyson analyzed the four temperature zones of the ovens, and it noticed temperature drops in zone one. Data showed flaws in the modulated steam valve that controls humidity, and this issue correlated with a recipe change in which ovens were turned up 50 degrees. That temperature increase meant the steam valve wasn’t able to keep up. Tyson changed recipes, and the process came under control again, sparing the company the possibility of a massive recall and getting the line back up and running safely.
A bright future for the brand
Tyson has seen several benefits with the Rockwell FactoryTalk Historian, powered by the PI System. Tyson saw an overall yield improvement of 0.1% in the first six months in the Jimmy Dean sausage facility, savings that paid for the improvement project. Tyson was able to reduce waste and giveaway within its Jimmy Dean facility. In addition, by automating quality-assurance reports, the company saved eight staff-hours per day and freed up employees to perform more impactful tasks. The corn dog facility was able to cut waste in half, saving Tyson about a million pounds of production. What’s more, real-time process alerts and the ability to set recipe verifications means that Tyson can avoid food recalls and protect the brand it has worked so hard to build.
For more information about Tyson and the PI System, watch the full presentation here.