Using LINGO for Business Students

David M. Tulett () and Ginger Y. Ke ()
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David M. Tulett: Memorial University of Newfoundland
Ginger Y. Ke: Memorial University of Newfoundland

SN Operations Research Forum, 2023, vol. 4, issue 1, 1-21

Abstract: Abstract For business majors doing a survey course involving linear, integer, and possibly non-linear optimization, it is quite common to use the Solver in Excel for solving optimization models. In addition to this, or even indeed instead of doing this, we propose using optimization software which closely mimics the structure of the underlying algebraic model. For this, we suggest LINGO, not with the use of sets, but alternatively using only a basic set of commands, which is called scalar mode. We argue that this is simpler than using a solver add-in for Excel. Also, we argue that scalar mode in LINGO is much simpler than LINGO with the definition of sets, because the students do not have to learn and apply several concepts needed in order to apply the sets approach. We also give an example of when the transition to sets would be appropriate.

Keywords: LINGO; Optimization; Business students; Decision modeling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43069-022-00184-2

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