How Axxis Corporation Increased Machine Utilization by More Than 20% in One Month

Precision manufacturing depends on knowing how much available machine time becomes productive work. Axxis Corporation needed accurate utilization data for specialized production serving aerospace, military, and medical markets. Operator entered information created discrepancies in machine performance reporting and limited the company’s ability to manage utilization with confidence.

Axxis implemented SensFlo monitoring with connected devices, automated calibration, remote machine status, and daily reporting. The public Axxis Corporation Success Story reports a machine utilization increase of more than 20% within one month, along with increased accountability and automated daily reports for shop transparency.

Key takeaways

• Machine utilization increased by more than 20% within one month.

• Automated daily reports improved shop transparency.

• Connected machine data increased accountability around performance.

Why utilization accuracy matters in precision manufacturing

Machine utilization measures how much available equipment time is spent running. For a precision manufacturer, low or poorly understood utilization can affect capacity planning, job scheduling, delivery confidence, and the timing of equipment purchases.

Axxis depended on operator entered data before the SensFlo implementation. When reporting varies by person or is completed after production, gaps can appear between recorded performance and actual machine activity. The SensFlo guide to calculating and improving machine utilization with IoT sensors explains how direct machine data creates a more consistent view of run time, idle time, downtime, and shift performance.

Connecting machines and establishing a baseline

Axxis implemented SensFlo devices for IoT connectivity across its machines. The public case study reports that autocalibration was completed within 24 hours. This gave the general manager remote access to machine status and created a current source of performance information.

The monitoring approach included hardware and firmware, controller and analog data, fault codes, WiFi connectivity, cloud based solutions, machine learning, and real time job profitability capabilities. The combination supported both shop floor visibility and management reporting.

For CNC and precision machining operations, SensFlo’s metalworking machine monitoring guide outlines how spindle time, cycle performance, utilization, and unplanned downtime can be measured across machining equipment.

Daily reports created a management rhythm

A machine monitoring project becomes more useful when the data enters the company’s operating routine. At Axxis, automated daily reports created a recurring view of shop performance. Leaders could review machine status and utilization without waiting for manually compiled updates.

Daily reporting also increased accountability. When the same information is available consistently, managers and production teams can discuss performance using a shared record. That supports more focused questions about where productive time was gained, where it was lost, and which conditions should be addressed next.

FloControl organizes machine signals into utilization, downtime, cycle time, alerts, and production information. Axxis used that visibility to support remote oversight and daily operational review.

What a 20% utilization increase means for capacity

A machine utilization increase of more than 20% within one month indicates that Axxis converted more available equipment time into productive operation. The case study does not publish additional revenue, labor savings, or avoided equipment spending, so those outcomes should be calculated from Axxis specific economics rather than assumed.

For another manufacturer, the financial value of a utilization increase depends on machine hourly value, available demand, margin, staffing, material availability, and whether the recovered time can be used for sellable work. When demand exists, recovered utilization can support top line production capacity. It can also improve the bottom line by spreading fixed equipment and facility costs across more productive hours.

The SensFlo ROAI Calculator helps manufacturers estimate the potential value of recovered production time using their own machine rates and operating schedule.

What other machine shops can learn from Axxis

Axxis shows the value of combining direct machine connectivity with a simple reporting cadence. The project established an accurate machine data source, completed autocalibration within 24 hours, enabled remote monitoring, and delivered daily reports that supported accountability.

A machine shop can follow the same general sequence by connecting priority assets, validating machine states, establishing a baseline, and reviewing utilization every day. Once the team trusts the data, it can investigate the largest idle periods, downtime events, and performance gaps with greater precision.

Frequently asked questions

How did Axxis Corporation increase machine utilization?

Axxis connected its machines to SensFlo using IoT devices and completed autocalibration within 24 hours. The general manager could then monitor machine status remotely and receive automated daily reports. The published case study reports a machine utilization increase of more than 20% within one month.

Why was operator entered data a concern for Axxis?

Operator entered data created discrepancies in reported machine performance. Manual records can vary based on timing, interpretation, and whether every event is captured. Direct machine monitoring provided Axxis with a more consistent data source for utilization, machine status, and daily performance review.

How do automated daily reports improve accountability?

Automated daily reports give managers and production teams a recurring view of the same performance data. This helps the organization review utilization, compare results, identify unexplained losses, and assign follow up actions using a shared record. The report becomes part of the operating process rather than an occasional analysis.

Is machine utilization the same as OEE?

Machine utilization shows how much available time a machine is running. OEE measures productive effectiveness through Availability, Performance, and Quality. Utilization can reveal unused capacity, while OEE provides a broader view of downtime, speed loss, and quality loss. SensFlo’s OEE guide explains the distinction.

Manufacturers can compare FloControl pricing or contact SensFlo to discuss a machine utilization baseline.