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Consumption with Weekly Buckets

In the above example, weekly forecasts exists for 20 on the 2nd and the 9th. When you place sales order demand for 25 on the 12th, the forecast consumption process attempts to consume in the week of the sales order only, since the forecast is stated in weekly buckets and no backward consumption days exist. Since there is a forecast in the week of the 12th, the entire forecast of 20 is consumed by the sales order for 25 and the remainder of the sales order becomes an overconsumption of 5 on the sales order line schedule date.

In the above example, weekly forecasts exists for 20 on the 2nd and the 9th. When you place sales order demand for 25 on the 12th, the forecast consumption process attempts to consume in the week of the sales order first and then backwards for the number of backward consumption days.

In this example, the backward consumption days of 5 causes the consumption process to go into another weekly bucket where it also consumes anything from that week. Since there is a forecast in the week of the 12th, the sales order for 25 consumes the entire forecast of 20 and then consumes the remainder of the sales order quantity (5) from the forecast on the 2nd.

Attention: When you use weekly or periodic buckets and the consumption days carry the consumption process into a different week or period, the consumption process consumes from anywhere in the week or period, regardless of whether the consumption days span the entire week or period.

In this example, Oracle Master Scheduling/MRP and Supply Chain Planning subtracts the backward consumption days from the 12th (excluding non-workdays) to day 5. Since day 5 is in the previous week, it consumes forecasts anywhere within the bucket; in this case, on the 2nd.

The consumption process consumes any forecasts that are included in the time fence created by the backward or forward consumption days, and then any other forecasts that are in the week or period. However, it does not consume a daily forecast that exists in the week or period if it is not covered by the time fence. In the above example, a daily forecast for the same item on the 4th would not have been consumed by the sales order; however, a daily forecast on the 5th would have since it is in the period included in the backward consumption days.


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