Golgix Machine Monitoring Software reduces downtime and saves you Money

NO NEW SENSORS. NO NEW METERS. NO LEAD TIME.

Harness the power of your existing machine data
OUR SOLUTION

EARLY FAILURE PREDICTION:
Predict machine failures before they happen.
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QUALITY VARIABILITY PREDICTION:
Take proactive steps to prevent quality problems before they create waste.

REAL-TIME OPTIMIZER:
Optimize production process with complete confidence and remove any uncertainty about what it takes to improve efficiency.​
Our Platform

THE GOLGIX DIFFERENCE
Speed to Value
Get actionable insights in 4-6 weeks with minimal client resources.

Scalable
Works with existing process data or raw machine data from manufacturing equipment.

Secure

Infrastructure agnostic deployment based on client design or requirements.

No Disruption

No add-on sensors or meters needed.

A different approach to improve manufacturing using existing data.

Our Platform
DISCOVER HOW YOU CAN INCREASE PRODUCTION EFFICIENCY

Harley Davidson Case Study:

When large manufacturing enterprises lack a full view of how their machines are performing, it’s impossible to prevent machine downtime. To solve this problem, Golgix helped Harley Davidson craft that full view from just a few available unstructured machine data points to predict and prepare for machine failures.

Problem: Harley Davidson was experiencing a lack of visibility into machine performance and had limited access to machine-level operations data. Even with strong baseline performance and adherence to industry best practices, CNC machines extended cycle times and unplanned downtime was restraining production capacity and driving variation to production plans.

Solution: Leveraging its proprietary manufacturing intelligence platform, Golgix was able to use the data generated by the machine’s onboard controllers to understand machine performance and provide early failure prediction of CNC machines with a lead time of 24-48 hours. Further providing real-time machine and cell-level OEE to create a predictable production environment. In just four weeks, with 28 days of raw operating data from the CNC machines’ Fanuc Pro 6 onboard controllers, Golgix’s technology predicted 91% of CNC machine failures, identified opportunities to prevent 30% of unplanned downtime, and enabled Harley to increase its production capacity by 8-10%.

Liggett Vector Brands Case Study:

Liggett Vector Brands is a high volume manufacturing and packaging facility utilizing specialized process equipment. Liggett Vector Brands was suffering from line speed imbalances which traditional control systems and process engineering approaches were unable to address.

Problem: Frequent unplanned downtime and line stoppage was occurring despite best-in-class maintenance and control systems. Objective was to reduce downtime and maximize mean-time-between-failure (MTBF) to increase throughput of all 10 manufacturing lines.

Solution: As poor line performance and unplanned downtime were driven solely by machine speed imbalance within each manufacturing line, Golgix's real-time optimizer dynamically synchronizes machine speeds across the line to maximize MTBF and eliminate 60.5% of unplanned downtime. Golgix optimization module provides real-time individual machine speed predictions with visibility into the anticipated effect of each potential change delivering OEE improvement of 5-7%.