Overview

Capacity Scheduling gives you the ability to visualize and manage system capacity at a more granular level than is available in the Requirements Planning application. It allows you to manage the capacity of a given resource at a given time within any identified scheduling constraints.

Capacity Scheduling utilizes a calendar-based display of production information that allows you to visualize and update current activity. You can schedule/manage by resource types (labor, machine, work center, operation) independently and filter for the span of time to display. In other words, you are not required to keep the labor, machine, work center, and operation components of a process synchronized with each other.

With Capacity Scheduling you can:

• Consider the granularity of time allocation for operations and work centers to more accurately reflect the scheduling constraints, enhanced by the ability to enable/disable the inclusion of individual time assignments (Queue, Labor, Machine, etc) when evaluating capacity requirements.
• Define location (warehouse)-specific capacity-based information for labor, machine groups, and work centers within MR.
• Utilize selective, date-based management of resource availability such as using an alternate schedule, modified efficiency, use of multiple machines/lines, labor, etc. while also considering preset events for given resources such as routine maintenance and PTO.
• Automate scheduling/rescheduling of production orders/requirements by resource (Labor, Machine Group, Work Center).

Business rules allow you to determine how the scheduling engine calculates the best way to utilize your capacity. You can choose the resource(s) the system considers when generating the schedule, the method the system uses to add production orders to the schedule, and how the system will handle orders that conflict with the schedule. You can also establish the number of days you want the system to use when it creates the schedule, as well as the minimum and maximum amount of downtime an activity can span.

See additional information in the Capacity Scheduling Overview topic.