Conference Proceeding Article
Physician scheduling is the assignment of physicians to perform different duties in the hospital timetable. In this paper, the goals are to satisfy as many physicians’ preferences and duty requirements as possible while ensuring optimum usage of available resources. We present a mathematical programming model to represent the problem as a bi-objective optimization problem. Three different methods based on ε–Constraint Method, Weighted-Sum Method and HillClimbing algorithm are proposed. These methods were tested on a real case from the Surgery Department of a large local government hospital, as well as on randomly generated problem instances. The strengths and weaknesses of the proposed methods are also discussed. Finally, a summary is given together with suggestions for future research.
master physician scheduling problem, preferences, bi-objective optimization, mathematical programming
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
8th International Conference on the Practice and Theory of Automated Timetabling (PATAT)
City or Country
Belfast, North Ireland
GUNAWAN, Aldy and LAU, Hoong Chuin.
The Bi-Objective Master Physician Scheduling Problem. (2010). 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT). 241-258. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/319