PD027
Simulate only the highest-variance variables at full fidelity and approximate the rest to achieve accurate predictions at acceptable computational cost.
CyberTRIZ analysis · Process contradiction PD027 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Higher Process Simulation Accuracy vs. Lower Computational Cost
Business Context. Detailed process simulations that model every variable and interaction produce more accurate predictions of redesign outcomes, but the computational cost of running such simulations at scale can be prohibitive.
Process TRIZ Resolution. Rather than simulating every variable at full fidelity, organizations should identify the small number of variables that drive most of the outcome variance and simulate those in detail while approximating the rest.
Applicable TRIZ Principles
Principle 3 (Local Quality) applies high simulation fidelity only to the variables that matter most.
Principle 2 (Taking Out) removes low-impact variables from the detailed simulation.
Principle 35 (Parameter Changes) adjusts simulation resolution based on each variable's contribution to outcome variance.
Expected Outcome
High predictive accuracy
Lower computational cost
Faster simulation turnaround
Efficient use of modeling resources
Decision Indicators
Simulations take too long to inform timely decisions.
Computational cost of simulation exceeds its practical value.
Most simulated variables have negligible effect on the outcome.
Teams avoid running simulations due to their cost or complexity.
Simplified simulations produce results that later prove inaccurate.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.