2. Forecasting

Descripción

Supply Chain Management Fichas sobre 2. Forecasting, creado por Lauri Hiltunen el 10/12/2018.
Lauri Hiltunen
Fichas por Lauri Hiltunen, actualizado hace más de 1 año
Lauri Hiltunen
Creado por Lauri Hiltunen hace más de 5 años
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Resumen del Recurso

Pregunta Respuesta
3 things we can forecast in SCM 1. demand 2. supply 3. price
What inaccurate forecasting causes (2) 1.1 Over-production -> excess inventory - spoilage, waste, inventory costs 1.2 Under-production -> inventory shortages - late deliveries, stock out and shortage, high shipping costs
6 reasons for forecasting 1. customer satisfaction 2. reduced inventory stockouts 3. scheduling production 4. lowering safety stock requirement 5. reducing product obselence costs 6. managing shipping better
3 categories of forecasting 1. qualitative - peoples "educated opinions" 2. time series - based on history 3. causal - assume other factors correlate
qualitative methods 1. executive opinion 2. market research 3. delphi method
time series methods 1. moving average (naive, simple and weighted) 2. exponential smoothing 3. linear trend line
Weighted moving average (formula) D=past demand, W is weight WMA = W(i)*D(i) + W(i-1)*D(i-1) + W(i-2)*D(i-2) E: 0,5 * 90 + 0,33 * 110 + 0,17 * 130 =103,4
Exponential smoothing (formula) a= weight for actual demand F(i) = forecast for current period D(i) = demand current period F(i+1) = a*D(i) + (1-a)*F(i) weight * demand now + (1-weight) * previous forecast 0<a<1
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