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| Criterion |  Operations Fault Tree Analysis |  Delivery Cost of Delay |  Decision Making Pareto Analysis |  Decision Making Risk Matrix |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 2-6 h | 90-180 min | 30-60 min | 30-60 min |
Participantsdifferent | 3-8 | 3-8 | 1-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | CoD Table, Prioritization Sequence | Pareto Chart, Top Causes, Focus List | Risk Matrix, Top Risk List |
Tagsno overlap | RiskRoot causeSafety | PrioritizationDeliveryEconomicsDecision | PrioritizationQualityFocusRoot cause | RiskDecisionPrioritizationAssessment |