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Criterion
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.
Complexitydifferent
HighMediumHighHigh
Timedifferent
90-180 min1-3 h1-4 Wochen30-90 min Setup, danach laufend
Participantsdifferent
3-84-106-30 Experten1-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
CoD Table, Prioritization SequenceCurrent-state map, Future-state map, Bottleneck listExpert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
PrioritizationDeliveryEconomicsDecision
LeanFlowWasteDelivery
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
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