Local Optimization vs System Performance
Set KPIs at system output level so subsystem optimisation decisions must demonstrate positive effect on total facility throughput before approval.
CyberTRIZ analysis · GreenFieldIndustrialProjects contradiction SFR008 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Individual disciplines, equipment packages, contractors, or departments can improve their own performance while creating constraints elsewhere. Optimizing one subsystem does not necessarily improve total facility throughput, reliability, cost, or lifecycle performance.
Green Field Industrial Projects TRIZ Resolution
Evaluate optimization according to its effect on the complete value-producing system. Prioritize constraints and critical interfaces rather than maximizing every subsystem independently.
Applicable TRIZ Principles
Principle 1 – Segmentation identifies subsystem boundaries and their interactions.
Principle 5 – Merging coordinates interconnected functions around system-level performance.
Principle 13 – The Other Way Round evaluates local improvements from the perspective of total-system results.
Expected Outcome
Higher system performance
Fewer transferred constraints
Better cross-functional decisions
Reduced unnecessary local optimization
Decision Indicators
Early indicators include:
Individual equipment exceeds requirements while plant output remains constrained.
Departmental KPIs improve without corresponding project improvement.
Optimization moves bottlenecks between systems.
Interfaces receive less attention than individual components.
Local cost savings increase total-system cost.