How SensFlo Helps Measure and Improve Efficiency Amid and Post-Pandemic

Introduction

In today’s dynamic manufacturing environment, efficiency and productivity are paramount, especially during times of disruption like the COVID-19 pandemic. SensFlo, a leader in industrial AI solutions, partnered with Ricaurte Precision to implement advanced productivity monitoring systems. This collaboration aimed to integrate machine monitoring with ERP data, deliver real-time insights, and enhance overall shop floor performance. Here’s how SensFlo transformed Ricaurte Precision’s operations.

Company Background - Ricaurte Precision

Ricaurte Precision has been a trusted provider of precision machining solutions for over 30 years, serving top aerospace, medical device, and technology manufacturers. Based in Orange County, California, Ricaurte Precision offers cutting-edge machining services with advanced equipment such as 5-axis mills, live tooling lathes, Swiss screw machines, and wire EDM technologies. The company is AS9100D & ISO9001:2015 certified, committed to exceeding customer expectations through continuous technological investments.

Challenges

Despite their advanced capabilities, Ricaurte Precision faced several operational challenges:

• Integration: Seamlessly integrate machine monitoring with their ERP system to provide live productivity monitoring, bottleneck analysis, and job delay predictions.
• Real-time Monitoring: Ensure continuous 24-7 monitoring of shop floor productivity and send real-time alerts for idle machines.
• Support for Digital Transformation: Secure support from the shop floor for the vision of digital transformation and AI implementation to improve efficiency and profitability.

Approaches

1. Installing Machine Monitoring Solutions

SensFlo began by installing its machine monitoring solution across Ricaurte Precision’s diverse equipment lineup, utilizing MTConnect for compatible machines and vibration sensors for cost-effective monitoring of others.

2. Customizing the Dashboard

SensFlo collaborated with Ricaurte Precision’s leadership to design a customized dashboard that provided real-time performance summaries and alerts. This dashboard ensured management could quickly access critical information and respond to unexpected downtimes effectively.

3. Changing Shop Floor Mentality

SensFlo made efficiency data transparent and accessible to all shop floor employees through a dedicated user app. This app allowed machinists to monitor their performance in real-time and receive immediate alerts, fostering a culture of continuous improvement and accountability.

4. Integrating with Shoptech E2 ERP System

SensFlo integrated its monitoring solution with Ricaurte Precision’s Shoptech E2 ERP system. This seamless integration enabled comprehensive data collection, including Overall Equipment Effectiveness (OEE) and job-level efficiency metrics, providing a complete view of shop floor performance.

Results

1. Increased Productivity

Ricaurte Precision achieved a 200% increase in machine utilization and a 600% increase in part count, resulting in a threefold increase in productivity. SensFlo’s monitoring system and ERP integration allowed the company to precisely measure and optimize the impact of increased utilization on overall productivity.

2. Enhanced Real-time Monitoring

SensFlo’s solution provided continuous real-time monitoring of shop floor operations, enabling proactive issue resolution and maintaining high efficiency even during off-site meetings.

3. Improved Communication and Support

The transparency and real-time alerts facilitated better communication between machinists and management, aligning the team with the company’s digital transformation goals. This objective performance measurement system was well-received, driving commitment to continuous improvement.

Conclusion

SensFlo’s AI-powered productivity monitoring solutions have significantly enhanced Ricaurte Precision’s operational efficiency. By delivering real-time insights, accurate productivity projections, and seamless integration with existing systems, SensFlo has helped the company achieve remarkable gains in machine utilization and overall productivity. If you aim to optimize your manufacturing processes and ensure consistent productivity, SensFlo’s advanced AI solutions are your key to unlocking full potential.

Frequently Asked Questions

How did the COVID-19 pandemic expose operational weaknesses in manufacturing that SensFlo helps address?

The pandemic revealed that manufacturers without real-time production visibility were especially vulnerable to disruption. For how SensFlo's platform provides that visibility from day one of deployment, see The Complete Guide to Machine Monitoring for Manufacturers.

How does machine monitoring improve manufacturing efficiency during periods of workforce disruption?

Machine monitoring maximizes output from reduced teams by automating downtime detection, alerting, and maintenance prioritization. For how this applies specifically in precision machining, see the Axxis case study.

What efficiency improvements can manufacturers expect post-disruption with SensFlo?

Most facilities see 25–40% improvement in OEE within six months of monitoring deployment. For the full OEE improvement methodology, see What Is OEE? The Manufacturer's Complete Guide.

How does SensFlo support manufacturer-customer relationships during production disruptions?

SensFlo provides real-time production data that allows manufacturers to give customers accurate, data-backed delivery status. For the automotive tier supplier context, where customer transparency is most critical, see Machine Monitoring for Automotive Tier Suppliers.

Can machine monitoring help manufacturers build more resilient operations for future disruptions?

Yes. Predictive maintenance reduces the baseline rate of unplanned disruptions, and historical production data enables more accurate capacity planning. For the predictive maintenance strategy that builds this resilience, see Predictive vs. Preventive Maintenance: What Every Manufacturer Needs to Know in 2026.