The unexpected power of linear programming: an updated collection of surprising applications

Abstract Linear programming has had a tremendous impact in the modeling and solution of a great diversity of applied problems, especially in the efficient allocation of resources. As a result, this methodology forms the backbone of introductory courses in operations research. What students, and others, may not appreciate is that linear programming transcends its linear nomenclature and can be applied to an even wider range of important practical problems. The objective of this article is to present a selection, and just a selection, from this range of problems that at first blush do not seem amenable to linear programming formulation. The exposition focuses on the most basic models in these selected applications, with pointers to more elaborate formulations and extensions. Thus, our intent is to expand the modeling awareness of those first encountering linear programming. In addition, we hope this article will be of interest to those who teach linear programming and to seasoned academics and practitioners, alike.

Authors

Institutions

Publication Details

Journal
Annals of Operations Research
Published
2024-09-21
DOI
https://doi.org/10.1007/s10479-024-06245-5
Citations
2
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The unexpected power of linear programming: an updated collection of surprising applications

Bruce Golden, Lida Anna Apergi, Linus Schrage, Douglas R. Shier
2 citations
Annals of Operations Research
Optimization and Mathematical Programming
0.66
article

The unexpected power of linear programming: an updated collection of surprising applications

Bruce Golden, Lida Anna Apergi, Linus Schrage, Douglas R. Shier
article en
2 citations

Abstract

Abstract Linear programming has had a tremendous impact in the modeling and solution of a great diversity of applied problems, especially in the efficient allocation of resources. As a result, this methodology forms the backbone of introductory courses in operations research. What students, and others, may not appreciate is that linear programming transcends its linear nomenclature and can be applied to an even wider range of important practical problems. The objective of this article is to present a selection, and just a selection, from this range of problems that at first blush do not seem amenable to linear programming formulation. The exposition focuses on the most basic models in these selected applications, with pointers to more elaborate formulations and extensions. Thus, our intent is to expand the modeling awareness of those first encountering linear programming. In addition, we hope this article will be of interest to those who teach linear programming and to seasoned academics and practitioners, alike.

Annals of Operations ResearchVol. 343(2)
University of Chicago (US), University of Maryland, College Park (US), Clemson University (US)
Clemson University, Oklahoma State University
Openalex Percentile: Top 30%
Optimization and Mathematical Programming
0.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.