How Axxis Boosts Productivity and Quantifies Bottlenecks with SensFlo

Introduction

In today’s competitive manufacturing landscape, operational efficiency and productivity are crucial. SensFlo, a leader in industrial AI solutions, partnered with Axxis, a premier precision machine shop, to revolutionize their productivity monitoring. By integrating advanced AI with ERP data, SensFlo provided Axxis with real-time insights and enhanced operational performance. Here’s how SensFlo helped Axxis achieve significant improvements in productivity and on-time delivery.

Company Background - Axxis

Axxis is a cutting-edge CNC machine shop located in Southern California, specializing in high-quality machined parts for industries such as aerospace, medical devices, and power generation. Established in 1959, Axxis operates a 40,000 sq. ft. facility equipped with state-of-the-art technology to deliver top-tier products and services.

Challenges

To stay ahead in the industry, Axxis needed to:

• Integrate machine monitoring with ERP data for live productivity tracking.
• Quickly identify and quantify bottlenecks.
• Predict job delays and ensure on-time delivery.

Approaches

1. Initial Assessment

SensFlo began by thoroughly understanding Axxis' equipment, workflow, shift schedules, and management systems. This assessment ensured that the AI solutions were customized to Axxis' specific operational needs.

2. Customized KPI Dashboard

SensFlo collaborated with Axxis' shop floor manager to design a tailored dashboard that tracked key performance indicators (KPIs). This dashboard provided real-time alerts and detailed performance summaries, ensuring that live machine status updates reached the right personnel promptly.

3. Iterative Collaboration

As implementation progressed, SensFlo and Axxis continuously refined the system. Initially, frequent live alerts disrupted important tasks. SensFlo adjusted the notification system to prioritize urgent job completions and send productivity alerts only when predefined thresholds were not met.

Results

1. Increased Productivity

After integrating SensFlo’s solutions, Axxis experienced a 22% increase in productivity. This improvement was due to enhanced visibility and a proactive approach to managing the shop floor. The new system allowed managers and operators to align their efforts, resulting in a more efficient workflow.

2. Enhanced On-time Delivery

The on-time delivery capability improved by 51%, a critical metric for Axxis. SensFlo’s ability to predict job delays and identify bottlenecks before they became issues significantly enhanced delivery reliability.

3. Streamlined Operations

With live productivity monitoring and predictive analytics, Axxis focused on solving problems before they occurred. This proactive approach saved time on management data aggregation and allowed the team to concentrate on continuous improvement and strategic initiatives.

Conclusion

SensFlo’s advanced AI solutions have transformed Axxis' manufacturing operations. By integrating real-time monitoring and predictive analytics, Axxis achieved substantial gains in productivity and on-time delivery. If you aim to enhance manufacturing efficiency and ensure timely delivery, consider partnering with SensFlo to unlock the full potential of your shop floor.

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Frequently Asked Questions

How did SensFlo help Axxis improve productivity in their precision machine shop?

SensFlo integrated with Axxis's ERP system to provide real-time machine utilization data alongside production job tracking, enabling them to quantify and address specific bottlenecks. This ERP integration approach is covered in detail in Unlocking the Power of ERP and Interoperability for IoT and AI.

What bottlenecks can machine monitoring identify in a job shop environment?

Machine monitoring identifies bottlenecks by revealing gaps between scheduled and actual run time, cycle time variability, setup time, and downtime frequency. For another real-world job shop case study, see Overcoming On-time Delivery Challenges in Job Shops with SensFlo.

How does ERP integration enhance the value of machine monitoring for job shops?

When SensFlo integrates with a job shop's ERP, machine sensor data is correlated with production job data for accurate job costing and delivery performance analysis. For the spindle-hours-specific case study, see How SensFlo Helps High-Value Job Shops Measure & Monitor Spindle Hours.

What metrics does SensFlo track for precision machining operations like Axxis?

SensFlo tracks spindle utilization, cycle time per program, setup time, OEE, unplanned downtime, and spindle bearing health. For the CNC monitoring platform overview, see Machine Monitoring for CNC Machining and Job Shops: The Complete Guide.

Can small precision machine shops justify the cost of machine monitoring?

Yes. A job shop running 10 machining centers at $150–$200/hour loses $1,500–2,000 per hour of downtime. SensFlo's Lite tier starts at $99/machine/month. Use the ROAI Calculator to confirm the math for your specific operation.