The Room Assignment Optimizer

After your room inventory is imported and/or defined, academic room scheduling preferences are configured, and term-specific course section records are imported, you may wish to make room assignments for your section records in bulk using the Astra Schedule room assignment optimizer. The Room Optimizer makes the room assignment process much faster, helps to find the most appropriate space using user-defined scheduling parameters, and provides an opportunity to experiment with scheduling scenarios that would be extremely difficult using manual scheduling. By adjusting the combination of optimization parameters, academic scheduling preferences, and seat fill-versus-preference priority settings, you may test the trade-off between different scheduling objectives. By creating one or many schedules you can experiment and compare results to build your schedule and test possible scenarios.

 

The Room Assignment Optimizer analyzes your section data and assigns rooms in a specific order so as to maximize assignments while still meeting as many constraints as possible.

 

The process is as follows:

 

1.Determine Sections to Schedule
 
The optimizer must determine the scope of sections that are to be processed during the optimization.  Factors that determine sections to be scheduled include:

 

•Selected source data

•Selected term(s)

•Sections not flagged to be ignored or arranged

•If user has opted to “Keep Existing Room Assignments” then sections with existing assignments are eliminated

•Optimizer user filters further narrow section range

•If user opts to pre-process hard constraints or back-to-back instructors, then determine applicable sections and prioritize them

•User security (to what sections does the user have edit access?)

 

2.Determine Rooms to Schedule
 
The optimizer must determine what rooms may be considered for scheduling for each section during the optimization.  Factors for room selection include:

 

•Rooms not flagged “Do Not Optimize”

•Rooms not flagged “Arranged Section”

•Rooms not flagged “May Not Schedule”

•Rooms are a campus match for sections in question

•Rooms are not blocked by room control during the dates being scheduled

•Rooms are available based on applied existing production and/or sandbox conflicts

•Rooms are included in user filters applied for optimization

•User security (for what rooms does the user have schedule permission?)

 

3.Score Rooms for Each Section
 
The optimizer must determine what rooms may be scheduled for each section based on preferences and hard filters using the same method as the ad hoc room scheduling tool.  Each feasible room is then scored using the room scoring method.

 

4.Determine the Order of Section Scheduling
 
The optimizer must determine the order in which sections will be scheduled.  The following steps determine the order of scheduling:
 
         1.  Group sections by time of day and day of week
         2.  Sort these groups from largest to smallest
         3.  Sort the sections within the time/day groups by the number of suitable rooms from lowest to highest
 
This sorting process creates a list of sections in order by the most common meeting pattern and then by the most constraints within the patterns.  This helps to create the most efficient use of space while still meeting as many scheduling constraints as possible.  In other words, sections utilizing the most common blocks of time but with the most scheduling restrictions are scheduled first.

 

5.Schedule Rooms
 
The optimizer must assign rooms to section records in the order determined above.  The system will attempt to assign each section record a room from its list of suitable rooms in score order, first checking for conflicts and evaluating back-to-back and cross-list scheduling scenarios as applicable.

 

The Optimizer assigns as many rooms as possible and creates lists of bottlenecks and infeasibles along the way that can be reviewed by the user.  The results of each sandbox are automatically saved. You may continue to work with the optimizer sandbox until satisfied with the results. When satisfied with a schedule, you may publish your optimized assignments back to the production section file.

NOTE: When opting to publish room assignments to your production section file, only those records that were changed during optimization are updated.

See also "Create a Room Optimizer Sandbox"

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