This table contains the purchase orders of your supply chain (replenishment you are purchasing from your suppliers), either proposed by frePPLe or confirmed.
This field should have one of the following keywords :
proposed : The purchase order is proposed by frePPLe to meet the plan (optimization output).
approved : The purchase order has been reviewed by the user and is ready to be exported to your ERP system.
confirmed : The purchase order is confirmed, it has been populated in your ERP system (optimization input).
closed : The purchase order has been delivered and the stock quantity increased.
|item||item||The item being purchased.|
|location||location||The location receiving the purchase order.|
|supplier||supplier||The supplier shipping the purchase order.|
|quantity||number||The quantity delivered.|
|start date||DateTime||The date when the purchase order is leaving the supplier location.|
|end date||DateTime||The date of the purchase order delivery.|
|Demands||demand||The demand(s) (and quantity) pegged to the purchase order. This is a generated field.|
The Inventory Status is a calculated field that highlights the urgency of the purchase order.
The cells have a background color that can be green, orange or red. Sorting
the purchase orders using the Inventory Status column (red ones first) allows the planner to
immediately focus on the purchase orders that should be treated first.
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 purchase order.
A criticality of 0 indicates that the purchase order is on the critical path of one or more demands.
Higher criticality values indicate a delay of the purchase order will not immediately impact the shipment of any demand.
A criticality of 999 indicates a purchase 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.
The delay is a read-only field, calculated by the planning engine.
It compares the end data of the purchase order with the latest possible end date to ship all demands it feeds on time.