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| Criterion |  Operations DMAIC |  Knowledge Modeling Domain Storytelling |  Operations ALPEN Method |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 2-12 Wochen | 1-2 h | 10-20 min daily | 2-6 h |
Participantsdifferent | 3-10 | 2-8 | 1 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Domain Story, Glossary Notes, Process Narrative | Daily Plan, Time Estimates, Review Notes | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Continuous improvementQualityProcess improvement | KnowledgeDomain-Driven DesignProcess | PlanningTime managementProductivityOperations | RiskQualityOperationsRoot cause |