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prescribed wash protocols. Importantly, these algorithms are designed to translate the
data in a CIP context to help ensure the relevance of the output.
Having CIP performance data at fingertips provides another important benefit: It helps
prepare for compliance with the Food Safety and Modernization Act (FSMA). FSMA
requires extensive documentation and recordkeeping related to QA and control processes.
Companies that cannot readily produce the required documentation could face
inspections, fines, and even recalls. CIP monitoring reports will help avoid these and
other regulatory pitfalls. The easy access to the results of 24/7 CIP monitoring is essential.
Finally, food and beverage producers can be proactive in preventing risks. And they
can be assured that CIP is supporting, not undermining, their quality, safety, profitability,
efficiency, and sustainability objectives.
In the food and beverage industry, reputation can hinge on the effectiveness of a
company’s cleaning and sanitation process. That’s why the CIP process is so critical.

too little interpretation is more frustrating than
no information at all. The CIP experts
recommended the three-phase approach once
an automated monitoring system is installed.
• Standardize During this phase, the aim
is to make needed adjustments to CIP protocols
to achieve at least 90 percent of washes done
correctly. Creating consistency around CIP
operations has an immediate, tangible impact
on quality while also improving efficiency. Once
washes are standardized to perform correctly
and consistently, it’s time for Phase 2.
• Optimize In this phase, the goal is to
identify savings opportunities to further
optimize washes. Ultimately, the focus should
be to drive wash conformance rate upward to
100 percent.
• Sustain With CIP, many things can, and
do, change as wash recipes are added and
adjusted. Automated CIP monitoring should be
an ongoing and well-integrated component of
operations to ensure sustained wash
conformance—as well as consistent product
quality and safety for the long term. Continuous
monitoring also enables organizational learning
as it yields insights and best practices that can
be shared.
These advanced automated monitoring
systems collect real-time CIP process data
from the customer’s industrial network (PLC
and/or Historian Database), encrypt it, and
transmit it to data centers where the data is
aggregated. Sophisticated algorithms then
scour the data for patterns and deviations that
indicate compliance or non-compliance with
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