Higher Precision vs Faster Cycle Time
Tier specifications into stable architectural/compliance records and fluid user stories, automating traceability to satisfy audit obligations without freezing Agile iteration.
CyberTRIZ analysis · AIRobotics contradiction R003 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Industrial robots operating in electronics manufacturing, automotive assembly, pharmaceutical production, and robotic-assisted surgery are expected to perform extremely precise movements while simultaneously meeting demanding production throughput targets. Increasing positioning accuracy often requires slower movements, additional verification steps, and tighter control, all of which extend cycle times and reduce productivity. Organizations must therefore achieve exceptional precision without compromising manufacturing efficiency.
AI & Robotics TRIZ Resolution
Rather than applying maximum precision throughout every movement, organizations should implement adaptive precision control that automatically applies the highest level of accuracy only during critical process stages. Non-critical movements can be executed at higher speeds, allowing robots to improve throughput while maintaining required quality standards.
Applicable TRIZ Principles
Principle 3 – Local Quality applies maximum precision only where it directly affects product quality.
Principle 15 – Dynamics continuously adjusts movement accuracy according to each stage of the operation.
Principle 16 – Partial or Excessive Actions provides only the precision necessary for each specific manufacturing task.
Expected Outcome
Higher throughput
Excellent positioning accuracy
Reduced production time
Improved product quality
Decision Indicators
Early indicators that precision requirements are reducing productivity include:
Cycle times increase continuously.
Robots pause excessively before positioning.
Production throughput declines.
Manufacturing targets are missed.
Precision exceeds actual process requirements.
Monitoring these indicators helps optimize both productivity and quality.