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Stevens Room Scheduling

Re-organize rooms to reduce the percentage of rooms both over and under utilization.
by

Eric Yang

on 24 June 2013

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Transcript of Stevens Room Scheduling

Utilization Reward = (# rooms .1-50% * .2) + (# rooms 50.1-80% * .5) + (# rooms 80.1-90% * 1) + (# rooms 90.1-100% * .2) + (# rooms over capacity * -5)

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
Analyzing Data
Goal
Re-organize room scheduling to reduce the percentage of rooms both over and under utilized
Issue 2
Many time slots where rooms are under-utilized (less than 80% utilized), which may be better if used for other classes
(~ 42.5%)
Issue 1
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%)
Total: 9.8%
Current Problem
One Possible Solution
Ideal
Acceptable
Roughly 70% of rooms at optimal utilization
11880
Optimal Utilization point (infeasible due to time and size constraints)
15840
Unacceptable
Current
score
9
All rooms over capacity
-79200
Utilization Score Ranges
Friday
Thursday
Wednesday
Tuesday
Monday
Current Status
Compared to current data, this schedule has 6 fewer rooms over capacity, resulting in a higher utilization score.
1
0.5
0.2
0.2
-5
0
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
Altofer 501
B 715
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
Preferences Hierarchy
Restrictions List
To-do list
1. Determine the
functions
of the Scheduling Optimization Analysis
Input & output
Solutions' generation
Optimization process

- How to
generation
a
better
solution
2. Define the next generation - Scheduling Optimization
platform
(Exhibit in Pictures)
Full transcript