INSUS connects existing weld repair and inspection records with fit-up, joint, station and welder-assignment data to surface the conditions most strongly associated with rising repair rates. Quality teams keep the investigation decision.
01
Repair rates vary across fabrication operations.
02
Known causes are rarely traced through your own data.
03
Repair records connected to fit-up, station and assignment.
The problem
Weld repair is a recurring source of rework in machinery fabrication. Quality teams may know that fit-up, joint accessibility, welder assignment and other conditions can influence repair rates, but identifying which factor is driving a specific repair-rate change usually requires a manual investigation across multiple systems.
The shift
The opportunity is not another weld-defect detection system. It is connecting the inspection and repair data your shop already produces with the fabrication data that can explain why repair rates are changing.
Today
With INSUS
How it works
This fits OptiStudio as quality analytics and decision support over existing inspection and fabrication records. Access is read-only. It does not replace inspection or change welding parameters.
Connect
Connect weld inspection and repair records with fabrication job data, fit-up QA checklists, joint specifications, welder assignments and station information.
Understand
Analyze historical relationships between repair-rate changes and factors such as fit-up quality, joint type, accessibility, welder assignment and station.
Detect
When a repair-rate change appears, rank likely cause categories according to their historical correlation with repair outcomes in that specific shop.
Advise
Identify jobs, stations, fit-up practices or assignments most strongly associated with the elevated repair rate, giving the quality team a focused starting point for investigation.
Verify
Compare flagged causes with the quality team's investigation results. Confirmed and rejected hypotheses become additional evidence for the shop-specific model.
Getting started
For machinery fabrication quality teams that already hold inspection, repair and fit-up records. Delivered through OptiStudio as weld-repair root-cause analytics. Expert Services can help with data assessment and validation. Advisory only. No new inspection cameras or weld-control hardware.
Related for machinery
Weld-repair root causes sit beside foundry heat-treatment energy and warranty field intelligence on the same machinery plant.
Repair-rate changes are often investigated manually across disconnected systems. This use case connects repair and inspection records with fit-up, station and assignment data to rank likely causes for quality review.
No. It does not replace visual inspection, NDT or automated weld inspection. It analyzes the records those systems produce and connects them with upstream fabrication data.
Weld inspection and repair records, fit-up QA records, fabrication job data, joint information and welder or station assignments. No new inspection hardware.
No. It is advisory root-cause analytics. It does not automatically change fabrication processes, welding parameters or staffing.
No. Quality and fabrication teams review every flagged cause and determine what should be investigated or changed.
Through OptiStudio as quality analytics and decision support. Expert Services can support data assessment, integration and validation with your quality team.
The analysis depends on repair or inspection records that can be connected to time-aligned fit-up, job, station and assignment data. Root-cause confidence improves as more confirmed and rejected cases accumulate.
Machinery · Welded fabrication quality
Connect your existing weld repair and inspection records to fit-up, station and job data and see whether the patterns in your own history can identify where repair-rate changes are coming from.
