In this paper, we propose a multi-objective integer linear programming model aiming at efficiently plan- ning and managing hospital operating room suites. By effectively exploiting a novel hybrid genetic solu- tion approach, the devised optimization model is able to determine, in an integrated way, (i) the operat- ing room time assigned to each surgical specialty, (ii) the operating room time assigned to each surgical team, (iii) the surgery admission planning and (iv) the surgery scheduling. The resulting Pareto frontiers provide a set of “optimal”solutions able to support hospital managers in efficiently orchestrating the involved resources and planning surgeons and surgeries. On this basis, the proposed solution framework could represent a suitable engine for the development of advanced and effective health care management decision support systems.
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|Titolo:||A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||1.1 Articolo in rivista|