Data di Pubblicazione:
2022
Citazione:
Knowledge Before Solutions: Some Reflections on a Successful OR Case Study / G. Righini, P. Villani (AIRO SPRINGER SERIES). - In: Optimization in Artificial Intelligence and Data Sciences / [a cura di] L. Amorosi, P. Dell’Olmo, I. Lari. - [s.l] : Springer Nature, 2022. - ISBN 978-3-030-95379-9. - pp. 95-105 (( Intervento presentato al 1. convegno ODS tenutosi a Roma nel 2021 [10.1007/978-3-030-95380-5_9].
Abstract:
This paper describes how a capacity planning problem arising in health care services design and optimization was successfully tackled with mathematical programming techniques. What made the project successful was not the design of a sophisticated algorithm providing optimal solutions, but rather the iterative development of an integer linear programming model of the problem, solved by a general-purpose MILP solver. This approach was made possible by the characteristics of the mathematical model itself and the user-friendly tools that were used. As a result, the problem expert could autonomously challenge and improve the model and the data in a countless number of iterations with little or no intervention of the O.R. expert. This allowed to reduce the development cost to zero and the development time to a few days.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Decision science; Mathematical modelling; Capacity planning
Elenco autori:
G. Righini, P. Villani
Link alla scheda completa:
Titolo del libro:
Optimization in Artificial Intelligence and Data Sciences