Title
Eli Lilly and Company Uses Integer Programming to Form Volunteer Teams in Impoverished Countries
Abstract
Each year, Eli Lilly and Company Lilly offers its worldwide employees the opportunity to participate in paid volunteer teams serving communities in impoverished countries. The company’s Connecting Hearts Abroad service program gives employees a unique opportunity to take part in service trips aimed at improving global health. Lilly annually offers about 23 trips, enabling employees to serve some of the world’s most resource-constrained regions where people lack basic resources or access to healthcare. A selection committee at Lilly manually forms volunteer teams from a large pool of applicants. Unfortunately, the manual selection process is time consuming and often fails to meet employee preference or adequately represent some applicant groups. This paper describes how we developed a mathematical programming model to improve Lilly’s process of volunteer selection. We incorporated the model into a decision support tool that assigns applicants to volunteer assignments and maximizes the chosen volunteers’ preferences under constraints that help ensure fair team compositions. Running the model against the prior year’s applicant data pool took less than two minutes to configure teams such that all volunteers received their first-choice assignment. The automated decision support system also provides a more consistent method of configuring teams that appears fair to the applicants.
Year
DOI
Venue
2013
10.1287/inte.2013.0679
Interfaces
Keywords
Field
DocType
company uses integer programming,manual selection process,impoverished countries,chosen volunteer,eli lilly,form volunteer teams,volunteer team,volunteer selection,mathematical programming model,applicant group,company lilly,applicant data pool,selection committee,healthcare,integer programming,decision analysis
Decision analysis,Health care,Decision support system,Integer programming,Engineering,TRIPS architecture,Marketing,Global health,Operations management
Journal
Volume
Issue
ISSN
43
3
0092-2102
Citations 
PageRank 
References 
1
0.35
7
Authors
3
Name
Order
Citations
PageRank
Stephen Mahar1565.27
Wayne Winston210.35
P. Daniel Wright3736.39