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

Bruce Golden (), Linus Schrage (), Douglas Shier () and Lida Anna Apergi ()
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Bruce Golden: University of Maryland
Linus Schrage: University of Chicago
Douglas Shier: Clemson University
Lida Anna Apergi: University of Maryland

Annals of Operations Research, 2024, vol. 343, issue 2, No 2, 573-605

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.

Keywords: Linear programming; Curve fitting; Goal programming; Discriminant analysis; AHP; Game theory; DEA; Applications in finance; Scheduling; Intercollegiate gymnastics (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-024-06245-5

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