Anonymous Company
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Can math make delivery pizza hotter and fresher?
$1,000
top 10
42
submissions
DONE
109 months
In the pizza business, it is critical to deliver the hottest, freshest food to each customer's doorstep. But doing so isn't a simple thing. There are many variables that go into getting delivery pizza right, including but not limited to:
- • The number of drivers we have available.
- • The state of traffic and how far the driver has to go.
- • The number of orders waiting to be prepared.
- • The time it takes to make, bake, and pack/cut the product. You can assume 3 minutes, 6 minutes, and 2 minutes, respectively.
- • A 30 minute guarantee for delivery orders and 15 minute guarantee for carry out orders.
At peak business, like when 20 orders are placed between 6:00 p.m. and 6:15 p.m., being able to figure out the optimal time to start preparing each order is the difference between a successful shift and getting backlogged.
Deliverables
Provide an algorithm or calculation to figure out the optimal time to start preparing an order during peak business time. In addition to the algorithm or calculation, include the following:
- An explanation of the logical thought process behind your solution.
- If possible, a simulation model of your algorithm.
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Submissions will be graded on the following criteria:
- Meets Deliverables
- Creativity
- Clarity
Reward Tiers
5 Winners
will receive $150 each
5 Honorable Mentions
will receive $50 each
Leaderboard
| $150.00 |
|
Tarun Jha University of Florida | |
| $150.00 |
|
Miles White University of South Florida | |
| $150.00 |
|
Nishant Chhetri | |
| $150.00 |
|
Matthew Gaiser Queen's University | |
| $150.00 |
|
Devon Ashbridge University of Central Florida | |
| $50.00 |
|
Jacob Babione University of Findlay | |
| $50.00 |
|
Jarrett Tang Auburn University | |
| $50.00 |
|
Devin Gustus Pasco-Hernando State College | |
| $50.00 |
|
Akshat Gandhi University of Mumbai | |
| $50.00 |
|
jaegerja Oregon State University |
Submission questions