Multiobjective Optimisation for Designing Salary Structures

François-Alexandre Tremblay, Dominique Piché-Meunier, Louis Dubois
Université Laval
CPAIOR 2023

Abstract

In a context of labor shortage and strong global competition for talent, salary management is becoming a critical issue for companies wishing to attract, engage and retain qualified employees. This paper presents a multi-objective optimization model to balance the internal equity, external equity and costs trade-offs associated with the design of salary structures. Solutions are generated to estimate and explore the Pareto frontier using real compensation data from a unionized establishment in the public sector. Our work shows the interest of using combinatorial optimization techniques in the design of salary structures.

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BibTeX

@inproceedings{tremblayMultiobjectiveOptimizationDesign2023,
    title = {Multi-Objective {{Optimization}} for~the~{{Design}} of~{{Salary Structures}}},
    booktitle = {Integration of {{Constraint Programming}}, {{Artificial Intelligence}}, and {{Operations Research}}},
    author = {Tremblay, Fran{\c c}ois-Alexandre and {Pich{\'e}-Meunier}, Dominique and Dubois, Louis},
    year = {2023},
    series = {Lecture {{Notes}} in {{Computer Science}}},
    pages = {427--442}
    }