December 2020 Student Simulation Competition - Contest Overview

The Grillers
The Grillers_Instructor Josa Project
The Grillers_Instructor Josa Introduction
Simio Squad
Simio Squad_Instructor Yoon Project
Simio Squad_Instructor Yoon Introduction
ROW_Instructor Jose Josa Project
 ROW_Instructor Jose Josa Introduction
Source2Sink Introduction
Source2Sink_Instructor Lautre Project

Overview of Contest:

There are two ways to enter the Simio Student Case Competition. You can either enter directly or through class participation. This contest, we had 21 teams enter directly (44 students) and 48 instructors with 610 teams (2295 students) for a total of 631 teams (2339 students).

We also had representation from the following 20 countries:

  • Angola
  • Bhutan
  • Canada
  • Chile
  • China
  • Columbia
  • El Salvador
  • France
  • Germany
  • Guatemala
  • India
  • Mexico
  • Pakistan
  • Portugal
  • Slovenia
  • South Africa
  • Spain
  • Switzerland
  • Turkey
  • USA

The 2339 students came from these 53 schools:

  • ASU
  • Bern University of Applied Sciences
  • Binghamton University
  • California Polytechnic State University
  • Embry Riddle Aeronautical University
  • ESEN
  • Georgia Institute of Technlogy
  • Instituto Tecnologico Autonomo de Mexico (ITAM)
  • Instituto Tecnológico de Morelia
  • Iowa State University
  • Istanbul Technical Univercity
  • Kansas State University
  • Notus SpA
  • Ohio University
  • Otto von Guericke University
  • Rochester Institute of Technology
  • Sichuan University
  • Singapore University of Technology and Design
  • State University of New York at Binghamton
  • Texas A&M University
  • Texas State University
  • The University of Pittsburgh
  • The University of Texas at El Paso
  • United States Naval Academy
  • Universidad Austral de Chile
  • Universidad de Concepción
  • Universidad de los Andes
  • Universidad de San Carlos de Guatemala
  • Universidad EIA
  • Universidad Panamericana
  • Universidad Pontificia Bolivariana
  • Universidad Santiago de Chile
  • Universidad Tecnologica Fidel Velazquez
  • Universidade Rainha Nginga Mbandi
  • University of Coimbra
  • University of Engineering and Technology, Peshawar
  • University of Florida
  • University of Houston
  • University of Johannesburg
  • University of Miami
  • University of Nantes
  • University of San Diego
  • University of San Francisco
  • University of Texas at Arlington
  • University of Toronto
  • University of VIgo
  • Uskudar University
  • Visvesvaraya National Institute of Technology
  • Wichita State University
  • Wuxi Institute of Technogy

Summary of the Problem:

The Simio BBQ Smoke Pit is an up-and-coming local restaurant. It features a variety of BBQ smoked meats and classic sides. This makeshift cookout is nestled in an older, renovated building in a bustling downtown block. Due to size constraints, this is a carry-out only establishment. However, as Simio BBQ Smoke Pit continues to grow in popularity, customers are facing longer wait times due to product outages and a constrained labor force. To keep up with demand, the restaurant needs help determining what new policies to enact to resolve their service bottlenecks.

Due to the long smoking time required for the BBQ meats and lengthy cook time for some sides, the restaurant is struggling to keep a reasonable level of cooked food available. Having too little inventory will affect customer satisfaction. If food shortages occur too often, wait times could increase, causing customers to leave and losing potential business for the restaurant. On the other hand, creating excess inventory could accrue extra costs. The meat is expensive and excess uneaten food must be disposed of at the end of the day.

The challenge is to balance staffing and food production to maximize profits and customer satisfaction. The restaurant is looking to investigate customer arrivals and ordering patterns, resource requirements, and food production rates. Simio BBQ Smoke Pit desires the best strategy to replenish each of the different food items on their menu. This replenishment strategy not only affects when and how much food to cook, but also how to allocate the cooked portions between the meal assembly stations and the holding cabinets. Additionally, Simio BBQ would also like to know if the potential improvement of changing staffing levels or adding equipment would be worth the investment.

Read the full problem!

Judging Criteria:

The judging was based on:

  • Quality/clarity of the presentation
  • Analysis/use of input data
  • Modeling detail/approach
  • Model internal documentation
  • Verification and Validation
  • Quality of animation
  • Experimentation/exploration of alternatives
  • Analysis of results
  • Quality of the recommendations
  • Overall project quality and Executive Summary

For more detail, see the Contest Judging Criteria.

Judging Panel:

Academic and Commercial:

Cassidy P. Shaffer Mardoqueo Velasquez Ed Williams Iván Gonzalo Vilaboa
Cassidy P. Shaffer
Advanced Operations Research Analyst at Eastman Chemical Company (USA)
Mardoqueo Velasquez
Faculty and Researcher at Universidad del Valle de Guatemala (Guatemala)
Ed Williams
Educator at University of Michigan (USA)
Iván Gonzalo Vilaboa
Adjunct Professor at ITBA (Argentina)
Katy Smith Mustafa Gocken Stephanie Yeap  
Katy Smith
Management Engineer III at Emory Healthcare (USA)
Mustafa Gocken
Assistant Professor at Adana Science and Technology University (Turkey)
Stephanie Yeap
Operations Research Analyst at Eastman Chemical Company (USA)


Simio LLC:

David Sturrock Elizabeth Millar Alex Molnar Rylan Carney
David Sturrock
Vice President of Products
Elizabeth Millar
Applications Engineer
Alex Molnar
Applications Engineer
Rylan Carney
Applications Engineer
Caleb Whitehead Caleb Whitehead Caleb Whitehead  
Caleb Whitehead
Applications Engineer
Paul Glasser
Delivery Manager
Ryan Welch Luttrell
Product Engineer

December 2020 Contest Winners

First Place

Second Place

Simio Squad
Binghamton University

Team Introduction Project Video

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Fourth Place

Visvesvaraya National Institute of Technology

Team Introduction Project Video

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Top teams including Honorable Mentions & Semi-Finalists

The top 7 teams out of 631 

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Contest Overview

Contest Overview, Summary of Problem, Judging Criteria and Judges

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