Suppliers reveals best practices and common errors in QA/QC testing.
September 8, 2021
Quality assurance (QA) and quality control (QC) testing are essential parts of any dairy production process. These tests confirm any products leaving a dairy plant meet the company’s standards and food safety requirements — helping to ensure customer satisfaction and avoid any costly product recalls.
Dairy processors rely heavily on in-house instrumentation to support their in-plant quality assurance (QA) and quality control (QC) efforts. However, they are not necessarily getting all they could out of that instrumentation.
The right software — and the right corporate culture — could help dairy processors collect, manage and disseminate quality assurance- and quality control-related data
What is worse than wasted effort? Economical losses and decreased productivity. Moisture measurement is a crucial aspect in manufacturing from the initial process to the end-product stage.
Häagen-Dazs, the ice-cream, ice-cream bar and sorbet brand was created in the United States in
1961. The Tilloy-lès-Mofflaines production site, near Arras (northern France), was chosen in 1992 for
the local expertise and the availability of high-quality milk and other source materials.
The dairy processing industry is under constant pressure to improve its food safety systems. This pressure stems from improvements in public health surveillance (such as the expanded use of whole-genome sequencing) and a ramping-up of food safety requirements from regulators, further processing customers and consumers.
The data age is here to stay, and we know dairy companies that don't take advantage of it will be less successful than those that do in this highly competitive, and often volatile, market environment.
Quality assurance could — and should — also drive revenue by providing the information allows plant leadership to control costs, improve operational efficiencies and maximize finished product output.
Quality assurance could — and should — also drive revenue by providing the information allows plant leadership to control costs, improve operational efficiencies and maximize finished product output.