This table contains the distribution orders of your supply chain, either proposed by frePPLe or confirmed. A distribution order is a transfer order of some material from one location of your supply chain to another location of your supply chain (stock rebalancing).
Fields
| Field | Type | Description |
|---|---|---|
| status | non-empty string | This field should have one of the following keywords :
proposed : The distribition order is proposed by frePPLe to meet the plan (optimization output).
approved : The distribution order has been reviewed by the user and is ready to be exported to your ERP system.
confirmed : The distribution order is confirmed, it has been populated in your ERP system (optimization input).
closed : The distribution order has been delivered and the stock quantity increased.
|
| item | item | The item being transfered. |
| origin | location | The model location where the item is transfered from. |
| destination | location | The model location where the item will be received. |
| quantity | number | The quantity delivered. |
| start date | DateTime | The date when the distribution order is leaving the origin location. |
| end date | DateTime | The date of the distribution order delivery. |
| Demands | demand | The demand(s) (and quantity) pegged to the distribution order. This is a generated field.
|
| criticality | number | The criticality is a read-only field, calculated by the planning engine.
It represents an indication of the slack time in the usage of the distribution order.
A criticality of 0 indicates that the distribution order is on the critical path of one or more demands.
Higher criticality values indicate a delay of the distribution order will not immediately impact the shipment of any demand.
A criticality of 999 indicates a distribution order that isn’t used at all to meet any demand.
Note that the criticality is independent of whether the customer demand will be shipped on time or not.
|
| delay | Duration | The delay is a read-only field, calculated by the planning engine.
It compares the end data of the distribution order with the latest possible end date to ship all demands it feeds on time.
|