Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Stevens Room Scheduling
Transcript of Stevens Room Scheduling
The higher the Utilization Reward Score, the better the schedule.
Corey Favaloro, John Donnelly, Eric Yang
Stevens Room Scheduling
Created a formula to compare current data with proposed solutions
Rewards rooms optimally utilized (80-90%)
Slightly rewards rooms close to optimal (50-80%)
Slightly rewards rooms close to capacity (90%-100%)
Barely rewards rooms far from optimal (<50%)
Strongly penalizes rooms over capacity (>100%)
No reward/penalty for empty rooms
Re-organize room scheduling to reduce the percentage of rooms both over and under utilized
Many time slots where rooms are under-utilized (less than 80% utilized), which may be better if used for other classes
Too many time slots where rooms are over capacity (~ 5.9%).
Too many time slots where rooms are close to full capacity, creating uncomfortable environment (~ 3.9%)
One Possible Solution
Roughly 70% of rooms at optimal utilization
Optimal Utilization point (infeasible due to time and size constraints)
All rooms over capacity
Utilization Score Ranges
Compared to current data, this schedule has 6 fewer rooms over capacity, resulting in a higher utilization score.
Analyzing Current Monday Schedule
Level 1 (have to do):
Rooms must be under 100% capacity
determine solution for secondary courses (right now it appears we will be using a “bucket” course)
Must satisfy the restrictions list
Level 2 (can do):
Provide use with an option to keep default “reward point settings” or to customize preferences
Level 3 (should do):
Take building preferences for each department into account
Level 4 (might do):
web based PHP (this will most likely not be achieved this semester)
BC 112, 212, 312, 541 B
BC 122 must have Nano 700 at 11 on Wednesdays and MIS Wed. evenings
C 315 is engineering only, primarily ME
M 324 must be clear on Wednesday afternoons, HUM courses
1. Determine the
of the Scheduling Optimization Analysis
Input & output
- How to
2. Define the next generation - Scheduling Optimization
(Exhibit in Pictures)