Title
Towards efficient algorithms for planning surgeries in operation rooms
Abstract
In this paper, the scheduling problem of elective patients in the Orthopedic Department of the “Lozano Blesa” Hospital in Zaragoza is considered. This problem takes into account two contradictory objectives: obtain a given occupation rate of the Operation Room (OR) and respect as much as possible the preference order of the patients in the waiting list. Three different mathematical models are discussed: 1) Quadratic Assignment Problem (QAP); 2) a Mixed Integer Linear Programing (MILP) model; and 3) Generalized Assignment Problem (GAP). These models solve combinatorial problems with a high computational cost; for this reason, heuristic methods have been used to solve large instances. In particular, 1) a meta-heuristic Genetic Algorithm (GA) for the QAP; 2) a heuristic Steepest Descent Multiplier Adjustment Method (SDMAM) for the GAP; and 3) a heuristic iterative method for MILP. Finally, the models and the heuristics are compared according to the occupation rate and the preference order criteria.
Year
DOI
Venue
2017
10.1109/ETFA.2017.8247620
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Keywords
Field
DocType
operation rooms,Orthopedic Department,Lozano Blesa Hospital,account two contradictory objectives,QAP,MILP,GAP,combinatorial problems,high computational cost,heuristic iterative method,preference order criteria,SDMAM,generalized assignment problem,meta-heuristic genetic algorithm,heuristic steepest descent multiplier adjustment method,mixed integer linear programing model,quadratic assignment problem,Zaragoza,elective patient scheduling problem,surgeries planning,mathematical models,occupation rate
Mathematical optimization,Heuristic,Job shop scheduling,Quadratic assignment problem,Iterative method,Generalized assignment problem,Control engineering,Heuristics,Linear programming,Engineering,Genetic algorithm
Conference
ISSN
ISBN
Citations 
1946-0740
978-1-5090-6506-6
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Daniel Clavel100.68
Cristian Mahulea216119.50
Jorge Albareda301.01
Silva, M.431636.61