Every welding operation generates data. Travel speed, wire feed speed, weld size, gas usage, duty cycle, changeover time and rework all reveal something about how efficiently work moves through the shop.
The challenge is turning those individual measurements into practical improvements.
Data-driven welding uses real production data to identify the conditions that affect throughput, quality, consistency and total welding cost. Rather than relying only on assumptions or replacing equipment before the causes of lost productivity are understood, fabricators can measure what is happening, determine where time and resources are being lost, and prioritize the changes that may deliver the greatest impact.
That is the purpose of StarSolver™.
Data-driven welding is an approach to process improvement that uses measurable production information to evaluate welding performance and support operational decisions.
Depending on the application, the data may include:
Looking at one measurement in isolation rarely provides the complete answer. For example, increasing wire feed speed does not automatically improve productivity if oversized welds, poor fit-up, excessive cleanup or upstream delays remain unresolved.
A data-driven assessment examines how these factors interact across the complete workflow.
Arc-on time is important, but it is only one part of welding productivity.
A welder may spend part of a shift preparing material, adjusting equipment, changing cylinders or wire packages, repositioning components, waiting for parts, grinding, cleaning spatter or correcting defects. These activities can limit output even when the welding parameters themselves appear acceptable.
The key question is not simply,“How quickly is the weld being made?”
It is:
StarSolver™ examines welding and fabrication operations from end to end. This can reveal bottlenecks that may otherwise be treated as normal parts of production, including waiting, unnecessary movement, frequent changeovers, oversized welds, inconsistent parameters and avoidable post-weld cleanup.
The right metrics depend on the welding process, application and business objective. However, several measurements can provide a clearer view of productivity.
1. Operator duty cycle
Operator duty cycle measures how much available production time is spent performing value-added welding compared with activities such as setup, material handling, waiting and cleanup.
A low duty cycle does not necessarily indicate an operator performance issue. It can reveal workflow constraints that prevent the operator from welding consistently.
2. Weld travel speed
Operator duty cycle measures how much available production time is spent performing value-added welding compared with activities such as setup, material handling, waiting and cleanup.
Travel speed helps determine how efficiently a weld is completed. It should be evaluated with weld quality, penetration, bead profile and procedure requirements, rather than treated as an isolated speed target.
3. Wire feed speed and deposition efficiency
Wire feed speed affects deposition rate, while deposition efficiency indicates how much of the consumed electrode becomes usable weld metal. Reviewing both can help determine whether the selected process, wire and parameters support the desired output.
4. Weld size
Oversized welds can consume additional wire, shielding-gas, energy and labour without providing additional value beyond the design requirement. Measuring actual weld size against the specified requirement may uncover avoidable cost.
5. Shielding-gas consumption
Gas usage should be considered alongside flow settings, leaks, gas-to-wire ratio, cylinder changes and the suitability of the gas supply mode. Excessive flow does not necessarily improve shielding and may increase cost.
6. Rework and Post-Weld Cleanup
Defects, spatter removal, grinding and repair welding add time without increasing production output. Tracking these activities helps quantify their effect on capacity and total cost.
7. Setup and changeover time
Frequent changeovers involving cylinders, wire packages, fixtures, programs or consumables may create small delays that accumulate across a shift, week or production run.
StarSolver™ captures production measurements such as travel speed, duty cycle, wire feed speed, weld size, gas usage, power consumption and cutting parameters to build a fact-based view of the operation.
Data helps separate a suspected issue from a measured one.
A shop may believe the welding machine is the primary constraint, for example, when the larger loss is actually caused by part presentation, inconsistent fit-up, cylinder swaps or excessive cleanup. Another operation may focus on increasing welding speed even though oversized welds are consuming unnecessary time and filler metal.
Measuring the process can help answer questions such as:
By answering these questions with production data, a fabricator can focus on verified opportunities instead of making broad changes based on assumptions.
StarSolver™ is Linde’s structured productivity enhancement program for welding, cutting, automation and gas-delivery processes. It is led by MetFab Productivity Specialists with experience in welding engineering, CNC cutting, laser systems, hard automation, robotic welding and gas supply optimization.
The StarSolver™ process follows five steps.
1. Evaluate
A MetFab Productivity Specialist reviews the workflow from end to end with minimal disruption to production.
The evaluation considers how material, operators, equipment, consumables, gases and completed parts move through the operation.
2. Measure
Relevant production data is captured directly from the process. Measurements may include travel speed, duty cycle, wire feed speed, weld size, gas usage, power consumption and cutting parameters.
3. Analyze
The data is reviewed to identify bottlenecks and quantify losses associated with factors such as:
4. Improve
The findings are translated into a prioritized action plan. Recommendations may address welding parameters, gases, consumables, workflow, supply methods, equipment use or automation opportunities.
StarSolver™ improvements often focus on optimizing the existing operation rather than automatically recommending new capital equipment.
5. Follow up
After changes are implemented, Linde specialists follow up to verify results, fine-tune settings and help sustain the improvements over time.
Not always.
Before investing in new equipment, a fabricator should determine whether the existing operation is being used effectively. Productivity may be constrained by:
Correcting these issues may improve performance without a major capital expenditure.
If the data does support an equipment or automation investment, the business case can be based on measured constraints, expected capacity gains and potential cost reduction.
Working faster focuses on speed. Welding productivity focuses on producing acceptable work with less avoidable time, motion, material and rework.
A faster travel speed has limited value if it results in defects. A higher deposition rate may not improve total output if part handling remains the main bottleneck. Increasing gas flow may add cost without improving weld quality.
A productive welding process balances:
The objective is not simply to make one activity faster. It is to improve the performance of the complete process.
Start with a defined process, part family or production cell. Avoid trying to measure the entire facility at once.
A practical starting point is to:
The baseline is essential. Without it, a shop may make changes but remain unable to confirm whether productivity improved.
The result will depend on the application, product mix, existing process and changes implemented.
StarSolver™ focuses on finding measurable opportunities to improve throughput and lower total production cost. Linde materials indicate that labour and overhead can represent roughly 85% of welding cost in the illustrated cost model, compared with approximately 15% for materials. Actual cost mixes vary by plant and process.
This is why improvements to workflow and productive time can have a greater financial effect than focusing only on consumable prices.
In one documented StarSolver™ example, production increased from 100 to 300 parts per day after workflow improvements were identified and implemented. Results are application-specific and should not be interpreted as a guarantee for every operation.
Potential improvements can include:
How do you calculate welding productivity?
Welding productivity can be evaluated using measures such as acceptable parts completed per shift, weld length completed per hour, deposition rate, operator duty cycle, rework percentage and total cost per acceptable part. The best metric is the one connected to the operation’s business objective.
What causes low welding productivity?
Common causes include waiting for material, poor fit-up, inconsistent parameters, oversized welds, frequent changeovers, excessive cleanup, rework, inefficient material handling, incorrect gas supply modes and limited use of suitable automation.
How can welders reduce rework?
Begin by identifying and measuring the most common defect types. Then review fit-up, joint preparation, welding parameters, consumables, shielding-gas, equipment condition and operator technique. The corrective action should address the measured cause rather than the visible symptom.
Can shielding-gas affect welding productivity?
Yes. Shielding-gas selection, flow rate, delivery consistency and supply mode can affect arc characteristics, spatter, cleanup, weld quality, changeover frequency and operating cost. Gas performance should be evaluated as part of the entire welding process.
What is a good welding duty cycle?
There is no single target that applies to every operation. An appropriate operator duty cycle depends on the part, process, production layout, level of automation and required support activities. The most useful approach is to establish a baseline, identify avoidable non-welding time and measure improvement.
When should a fabricator consider welding automation?
Automation may be appropriate when work is repetitive, part fit-up is consistent, production volume supports the investment and the full workflow can keep an automated system supplied. Data from the existing process can help determine whether automation addresses the actual constraint.
Can StarSolver™ be used for cutting operations?
Yes. StarSolver™ can evaluate welding and cutting processes, including laser, plasma and oxy-fuel applications, as well as automation and gas-delivery systems.
The data needed to improve welding productivity may already exist in your shop. It can be found in every setup, weld, delay, cylinder change, rejected part and cleanup step.
The opportunity comes from measuring that information, understanding what it means and acting on the findings.
StarSolver™ brings production data together with hands-on welding, cutting, automation and gas-delivery expertise. The result is a prioritized improvement plan focused on increasing throughput, improving consistency and reducing total cost.
Book a StarSolver™ evaluation by emailing Automation.support@linde.com or calling 1-800-225-8247.
