Published 6/2/2022

Toolpath-Level Machine Monitoring Improves Aerospace OEE

Machine monitoring software that records historical efficiency to the toolpath level helped aerospace manufacturer Leesta improve its OEE by ten points.

Evan Doran

Associate Editor, Modern Machine Shop

The End of Spring (Passes)

Spring passes are repeat finishing cuts that eliminate leftover material. While the odd spring pass may be necessary, recurring spring passes can balloon program cycle times.

At Leesta, a toolpath-by-toolpath calculation of performance rates (actual times versus estimated times) confirmed which programs had low performance rates, with further investigation revealing that these programs often included recurring spring passes.

Specifically, the software automatically recognized that 51% of the overtime consisted of rework, or repeated portions of programs. Investigating the toolpaths flagged as the worst offenders (with low performance rates and many instances of rework) helped Leesta isolate and optimize these program sections by reducing speeds, targeting lower material removal per toolpath and including a planned spring pass automatically in the CNC program. The former two changes improved the quality of the initial pass, removing the need for shopfloor personnel to implement unplanned spring passes. Accounting for a spring pass improves the accuracy of Leesta’s cost, time and delivery estimates — especially useful for the manufacturer’s many repeat jobs. Together, the optimizations boosted program performance rates by nearly 50% in some cases.

JITbase’s OPS module and the M00 consolidations have set Leesta tracking toward a 10-point OEE gain in 2022.

Fewer Stops, Fewer Interventions

The software also identified planned stops (M00 commands) that lasted less than 30 seconds. Reasons for planned stops vary — performing inspections, removing chips, changing tools and changing part positions, to name a few. However, 30 seconds is generally too short a time to perform these manual operations, says JITbase president Frederic Scherer. Thus, these short stops are good signs of unnecessary M00 commands stemming from older program iterations or overcautious programming. M00 commands that are shorter than expected across multiple production cycles are also more likely to be unnecessary.

Leesta removed unnecessary M00 commands from more than 300 CNC milling and turning programs, including both roughing and finishing operations across a wide array of metals. These improvements shortened program cycle times by an average of 10% and reduced the number of planned stops by up to 67%. With fewer interventions, Leesta’s machines can run autonomously for longer, improving uptime and performance for a 4% gain in OEE.

Tracking Toward an Efficient Future

JITbase introduced its “CNC Program Optimizer” module — including the toolpath-level data analysis — during the last few months of 2021. Other new capabilities relate to the OPS (optimal path system), which Modern Machine Shop covered in June 2020. That version of OPS already tracked machine uptime and hands-on periods to help machinists determine which machines in their cell are the highest priority.

Now, the system includes a planning simulation tool that improves planners’ ability to visualize machinist workloads. Leesta plans to use this capability to visualize which programs can be run by the same machinist without leaving multiple machines down. If the real-time machine data reports any slowdowns on one machine, the software can then dynamically adjust machine allocation between personnel to maintain maximum uptime. Even before implementing this dynamic workflow, OPS and the M00 consolidations have set Leesta tracking toward a 10-point OEE gain in 2022.