Aggregate capacity planning for elective surgeries: A bi-objective optimization approach to balance patients waiting with healthcare costs
This study uniquely formulates and solves a bi-objective healthcare aggregate capacity planning problem to simultaneously minimize the number of patients waiting for an elective surgery and the associated costs. The multi-objective combinatorial optimization problem of allocating the Operations Room (OR) capacity to different surgical specialties is solved by the Non Dominated Sorting Genetic Algorithm (NSGA II). This gives a range of Pareto plans that have important managerial repercussions because it may help set and analyze the impact of various waiting guarantees.
Source: Operations Research for Health Care - Category: Hospital Management Source Type: research
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