CPG Manufacturing
In Consumer Packaged Goods (CPG) Manufacturing, consumer preferences are constantly evolving, and manufacturing processes must adapt quickly to keep up. Recent trends towards sustainability call for not just sustainable products, but also sustainable manufacturing processes.
With increasing demand for innovative CPG products, manufacturers are under pressure to deliver both high mix and high volume production. This growing demand places significant strain on existing machinery and production infrastructure.
The good news is Nanoprecise’s Energy-Centered Predictive Maintenance solutions are perfect for the CPG industry in mitigating these challenges!
Consumer Package Goods Manufacturing Challenges
High Mix, High Volume Production
Consumer preferences are changing faster then ever. CPG manufacturers are under more pressure than ever to churn out new SKUs, putting more strain on machinery often already running at full capacity.
Regulations
Products must meet the regulatory requirements for CPG in both the country that manufacturers them AND the country that imports them. If a product fails to meet these standards, there can be severe financial penalties, major product recall or irrevocable damage to your reputation. When machines are not operating properly, the product is less likely to meet regulatory production standards.
Supply Chain Unpredictability
Not delivering products on time can create tension with vendors and cause brands to loose shelf space. While some supply chain factors are out of your control, manufacturing is not, and unplanned downtime is preventable.
Sustainability & GHG Reduction
Consumers are demanding that their products be more sustainable, but certain products can only go so far. Companies must take this additional action and consider their emissions, especially as pertains to SCOPE 1 & 2.
Solution: Energy-Centered Predictive Maintenance for CPG Industry
Condition Monitoring of Variable Frequency Devices
With constant new SKUs, you can’t afford downtime. By knowing the conditions of your machines, you can reduce downtime and be ready to respond to all the new demands.
Accurate Remaining Useful Life (RUL) Predictions
Our AI algorithms analyze historical data, equipment conditions, and performance trends to forecast the remaining lifespan of critical components before you need to shut down production.
Reduction of Scope 1 & 3 Emissions
An unexpected spike in energy usage is often the first sign of failure. By monitoring energy consumption, teams can identify inefficiencies early, reduce unplanned downtime, and lower Scope 1 and Scope 3 emissions.
Trusted By Your Peers
Case Study: $250,000+ in Downtime Avoided a Leading Dairy
Processing Plant with Energy-Centered Predictive Maintenance
A leading dairy product manufacturer in North America faced high risks from hidden faults in critical machines (especially with many located in remote or hard to reach areas), leading to reactive maintenance and potential production losses.
To address this, our MachineDoctorâ„¢ 6-in-1 wireless sensors were deployed across key assets, including motors, pumps, and blowers. The system provided real-time fault detection and AI-powered Remaining Useful Life (RUL) insights.
When unbalance was detected on a 30 HP motor powering a Reverse Osmosis (RO) pump, a Stage 4 fault alert was triggered. This early warning enabled timely corrective action. This prevented over 16 hours of unplanned downtime!
See it Work For You
Our cutting-edge predictive maintenance solutions are tailored to address the unique challenges faced in CPG Manufacturing.
See how we seamlessly integrate with your operations to help you eliminate unplanned downtime in your CPG plants, reduce carbon emissions and improve your overall operational efficiency.