Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start 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.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Copy of Butterfly Effect

No description
by

Dianna Bo

on 15 March 2013

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Copy of Butterfly Effect

Background The Butterfly Effect Bazaar Venue:
Robert Down Elementary Problem Implementation Models Results Assumptions If it is sunny
and 71 Weather Impacts Attendance If it is cloudy
and 50 PTA fundraiser for 4 PG public schools What is optimum mix of food booths to
maximize event profits? 2012 Food Booth
Configuration Key assumptions: •Attendance is directly linked to weather conditions.

•Each person attending the bazaar will buy one food item.

•All food booths only sell one type of food item.

•Most food vendors will contribute 20% of their revenue from sales to the PTA.

•3,000 people attend event on beautiful days and 1,500 people attend event on cold overcast days. Questions? Annual Pacific Grove Butterfly Parade and Bazaar Attendance Simulations 50 degrees 1500 people

71 degrees 3000 people

Simulation expected value is 2297 people Optimization Model Objective Function Optimization Model Decision Variables and Constraints The So What... Improved Butterfly Bazaar practices Organization & Optimization Optimization Says... Decision Analysis $619.00H + $177.58J + $379.12T + $443.94M + $367.21C + $309.62P + $318.23N + $207.31S + $221.92F + $187.56K + $218.82B + $187.56I ... boom Maximize Profit: All variables are binary! Comparison with last year Implementation Endstate: Recommendations Maximax/Maximin Equally Likely/ Minimax Regret
Full transcript