The Planning and Scheduling Workbenches provide schedulers/planners visibility into future supply and demand, projected shortages, projected capacity overloads/underloads, and projected component shortages—allowing schedulers/planners to make faster, more informed, and more efficient decisions.

To provide the data, the workbenches process and summarize large amounts of transactional data. The processing required depends on the volume of transactional data for the query parameters that schedulers/planners specify. When the processing involved is large, it can add a significant load on the server machine during the processing period. Users of other applications that run on that server machine may experience a degradation in response time during those periods.

Since every environment is different, the effect of the additional load on server machine users is unpredictable. The effect depends upon the:

To address the slower response time other users may experience during workbench processing, QAD recommends augmenting the server’s processing capacity by adding an additional processor (core) for each concurrent scheduler.