A.Manage Plans > Search and select supply plans > 'Organizations and Schedules' tab > 'Organizations' >
'Subinventory Netting' > Deselect 'Reject' subinventory for each organization

B.Manage Subinventories > Choose a material status in which 'Nettable' is unchecked

C.Manage Subinventories > Search and select subinventory > Deselect 'Nettable'

D.It is not possible to exclude one subinventory from a particular supply plan.

E.Manage Plans > Search and select supply plans > 'Organizations and Schedules' tab > 'Supply Schedules' > 'Subinventory Netting' > Deselect 'Reject' subinventory for each organization

A.You can create custom exceptions.

B.The conditions under which exceptions are generated can be modified.

C.You can act on an exception by selecting it and clicking 'Resolve exception'. A list of ways to resolve will be generated.

D.You can export exception tables to Excel.

E.The calculation logic for exceptions can be modified.

F.You can drill down into Supplies and Demand from an exception line.

A.Supplier Site and Service Level

B.Customer Location and Carriers

C.Sales Channel and Demand Class

D.Safety Stock and Subinventories

E.Calendar and Master Organization

A.Go to Actions > View Data on the graph in question.

B.You cannot see it on the plan outputs, so you need to go into Planning Analytics and re-search the data.

C.You cannot see it from the plan landing page, and you will need to search for the data.

D.You cannot see it on the plan outputs, and you will need to create a new table with the information.

E.On the table in question, go to View > Show table.

A.MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and MFE are aggregated using weighted average. Bias is aggregated using sum.

B.MAPE, MAD, and Bias are used to measure forecast accuracy. MAD and Bias are aggregated using sum. MAPE is aggregated using weighted average.

C.MAPE, MAD, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MAD is aggregated using sum.

D.MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MFE is aggregated using sum.