Use AAO, Advanced Analyzer and Optimizer, to quickly optimize your designs for maximum quality at the lowest cost.
Excellent for quickly testing and changing many tolerances at once, AAO is a great way to speed up modeling, and more importantly, speed up the process of testing and checking new tolerance strategies.
As an inexpensive add-on to any of DCS's 3DCS software suites, including the embedded CATIA versions, AAO is a simple way to save time and increase efficiency.
5. It has a lot of important measurements.
AAO Overview2
My model has dozens of tolerances.
6. What feature is my model most sensitive to?
Which tolerances contribute the most?
How can I save money?
How do I know I’m getting the
best quality for my money?
8. • Quickly identifies where design is sensitive to variation
• Enhanced GeoFactor results
• Change individual tolerance ranges for instant results
• Show GeoFactor or Percentage Contribution
• Global color scaling based on adjustable sliders
Advanced Analyzer Matrix
10. • Pp*: spec limits, no mean shift
• Ppk*: spec limits, mean shift
• Out%: significant out-of-spec
results
• Ave%: average % contribution
per measurement
*Process Performance, Process Performance Index
• Sigma: no spec
limits, no mean shift
HLM Sensitivity + GeoFactor**
Quantifies the effect of tolerances and
assembly variation on the measures
simultaneously and globally
Calculates each measure separately
CTI Results
Identify the greatest contributing tolerance globally
**Geofactor is a 3DCS Add-on often packaged with 3DCS Suites
11.
12. How can I save money?
How do I know I’m getting the
best quality for my money?
13.
14. Achieve desired quality at minimum cost
Goal Value (spec lim)
Max, Min, Lock, Cost
Opt Meas
Opt Tol
Total Current Cost, Total
Optimized (Minimum)
Cost
Input
per Measure
per Tolerance
Optimizer
Output
*Assumption: larger tolerance = less cost
15. Measures
• Goal Value: check all spec limits, default is fine
Tolerances
• MaxTol/MinTol
– Profile, MinTol = 1.0mm
– Position, MinTol = 0.5mm
• Locking
– Tooling (no ability to change)
– Size (low influence on model)
• Cost
– Profile tolerance costs 20% of Position tolerance
– All other tolerances equal
17. The Update Model Tolerances button pushes OptTols back to the model
Manually enter tolerances according to results
O
R
Increases Cost
Decreases Cost
Remains Constant
18.
19. Achieve best possible quality at a defined cost
Goal Value, Weight
Max, Min, Lock, Cost
Total Available
Budget
Opt Meas
Opt Tol
Total Current Cost, Total
Optimized (Minimum)
Cost, Optimized Quality
Value
Input
per Measure
per Tolerance
Optimizer
Output
*Assumption: Weight and Cost are relative values
20. Measures
• Goal Value: check all spec limits, default is fine
• Weight: set unimportant measures to zero
Tolerances
• MaxTol/MinTol
– Profile, MinTol = 1.0mm
– Position, MinTol = 0.5mm
• Locking
– Tooling (no ability to change)
– Size (low influence on model)
• Cost
– Profile tolerance costs 20% of Position tolerance
– All other tolerances equal
Other
• Total Available Budget: estimated cost (assume unlimited to see best
quality)
21. With an “unlimited” Budget, best achievable quality is -0.412 @ $8276.25
Assume an Available Budget of $5000, quality is -0.586
After Max/MinTol Adjustments with $5000 Budget, quality is -0.436
22. The Update Model Tolerances button pushes OptTols back to the model
Manually enter tolerances according to results
O
R
Increases Cost
Decreases Cost
Remains Constant
Notas do Editor
Peterbuilt- where to place measures (white paper)Run results initial analysis
Compare with GeoFactor table SAME- should have the following settings:- Show Contributor Per Point- Show Factor Value with 0 Filter- Sort DescendingThen Show Contributor% SAME as GeoFactor, DIFF than sensitivity6sigma meas range on top
Measurements (and range) on topContributing Tolerances (and range) on side columnsWeight can be set to 0 to toggle that measurement “off.” The 0 weight measurement will not affect PPK, PP, OUT, or Ave.
Example: Negotiating tolerance concessions with suppliersLinear cost model
With each iteration, the total cost is minimized- your GOAL
Red/green arrows
Example: Setting quality goals for suppliers and manufacturing
(The idea here is to optimize product tolerance but keeping current overall product cost)