Student Projects — COVID-19 related Operations Research

Linear Programming I, Winter Term 2020

Course Instructor:

Dr. Ruiwei Jiang

U-M Industrial & Operations Engineering

This website presents course projects completed by University of Michigan students who completed Linear Programming I (IOE 510/MATH 561/TO 518) during the Winter Term in 2020.

The course focuses on the formulation of problems from the private and public sectors using mathematical models of linear programming. Students are introduced to a variety of Optimization and Operations Research models, special purpose algorithms and advanced computational techniques.

For the project, students were asked to choose one topic from several topics provided by the course instructor then work on a technical report, in which they optimize a relevant decision-making problem using mathematical programming and optimization approaches.

For the past term (Winter 2020), students could choose one of three topics:

Topic 1: Optimal Screening in An Epidemic

Topic 2: Medical Resource Re-allocation

Topic 3: Lunch Delivery During School Lockdown

For each project, we include the project report (PDF), presentations slides (PPTX or PDF) and a video presentation (mp4), upon each team’s agreement.

All rights reserved. The authorized use of any files below is limited to informational and educational purposes only, and NOT for commercial purposes. None of the files below may be reproduced, distributed, or transmitted in any form or by any means.

[Descriptions of Topic Options and Guidelines for Winter Term 2020]

[Reports, Slides, and Presentations of All Projects under Each Topic]

Topic 1: Optimal Screening in An Epidemic

Topic 1 aims to design an optimal screening policy and testing facility locations to conduct COVID testing more effectively, given random virus spread, limited amounts of test kits, imperfect screening, etc.

1. Optimizing Drive-Through COVID-19 Testing Center Placement

Allen Jing, April Nellis

2. Optimal Screening Facility Location in An Epidemic

Dingyi Sun, Xinyao Zhang, Zewen Ai

3. Optimization of Screening Facility Location

Heya Ouyang, Xinyu Liang

4. Optimizing Theoretical Scheduling of Drive-Through Testing Clinics in Michigan for COVID-19 Response

Caleb Goldstein, Alexander Mize, Nhat Minh Nguyen

5. Optimal Infection Tree in Social Contact Networks

Yiting Xu, Ding Zhou

6. Optimal Screening in An Epidemic

Wenqing Zhou, Shiyun Zhou, Jiaxi Zhou

7. An Application of Modular Capacitated Location over Time Horizon Model in Health

Yuxiang Wu, Weihsiu Hu, Mengjun Hou

8. Optimal Screening in An Epidemic Analysis: Screening Facility Location

Meng Wang, Ruohan Wang, Rudy Rao

Topic 2: Medical Resource Re-allocation

Topics 2 aims to decide how to distribute and re-allocate medical resources (e.g., personal protective equipment, ventilators, ECMOs, etc.) among different places and across time to better hedge against the epidemic.

1. Medical Resource Reallocation during Epidemics

Faris Aljehani, Akshay Krishnakumar

2. Medical Resource Re-allocation

Isaac Smith, Ziang Xu, Lanxuan Zhao

Topic 3: Lunch Delivery During School Lockdown

Topic 3 aims to design routes and time schedules for using multiple vehicles (e.g., school buses) to deliver school lunches to students in under-served communities.

1. Analysis lunch delivery in Ann Arbor during COVID-19

Jing Liang, Zhuowen Li, Peiwei Zhang

2. Vehicle Routing Problem with Time Window Lunch Delivery During School Lockdown

Xiaoyi Qu, Yansheng Xiong, Chengdong Zhang

3. Lunch Delivery During Lockdown

Mark Bobrovnikov

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