Some abstracts do not have video files because ASAS was denied recording rights.
571
Using big data to drive sustainable CIP
The promise of big data as a means to drive process consistency and conformity is alluring to many industries; however, the execution often falls short of the desired outcome due to a lack of analytical resources, or an inability to capture the key metrics that help drive decisions.
In food and beverage processing, much of this data is already captured using existing plant instrumentation. Further, the trend has been towards recording this information electronically to allow for more data points and faster analysis; however, this data is rarely used to its fullest potential. It is stored as required, and reviewed as necessary.
In the development of a new platform, Ecolab has created a method of transforming this data into actionable information, allowing customers to utilize their own data around Clean In Place, coupled with new devices to more accurately measure chemical concentration. This data is captured and utilized in process-specific algorithms to drive sustainability, profitability, and product quality. The result has been a dramatic reduction in water, energy, chemistry and time consumed for CIP, while at the same time, achieving a quantifiable increase in product quality. This is often achieved simply due to the increased process visibility, enhanced analysis, and the increased consistency and conformity that results from the analytical process, and does not require large capital investment.
Using big data in food and beverage processing facilities to drive sustainability has proven itself as a concept. It does, however, require process understanding and a focus on the drivers within each facility to ensure that change is made in a way that positively impacts both sustainability and product quality, food safety, and brand protection.
Keywords: CIP, Analytics, Sustainability