Abstract
Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management. Healthcare schedulers typically refer patients to a suitable period of service before the admission call closes. The appointment date can no longer be adjusted. This research presents the whale optimization algorithm (WOA) based on the Pareto archive and NSGA-II algorithm to solve the appointment scheduling model by considering the simulation approach. Based on these two algorithms, this paper has addressed the multi-criteria method in appointment scheduling. This paper computes WOA and NSGA with various hypotheses to meet the analysis and different factors related to patients in the hospital. In the last part of the model, this paper has analyzed NSGA and WOA with three cases. Fairness policy first come first serve (FCFS) considers the most priority factor to obtain from figure to strategies optimized solution for best satisfaction results. In the proposed NSGA, the FCFS approach and the WOA approach are contrasted. Numerical results indicate that both the FCFS and WOA approaches outperform the strategy optimized by the proposed algorithm.
Highlights
Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management
The whale optimization algorithm (WOA) algorithm based on the Pareto Archive and NSGA-II algorithm has been used to solve the model in this research
Number of variable neighborhood search iterations and number of iterations in the whale optimization algorithm and population size parameters, mutation rate, intersection rate, and number of iterations in the NSGA-II algorithm are among these parameters
Summary
Effective appointment scheduling (EAS) is essential for the quality and patient satisfaction in hospital management. This research presents the whale optimization algorithm (WOA) based on the Pareto archive and NSGA-II algorithm to solve the appointment scheduling model by considering the simulation approach. Based on these two algorithms, this paper has addressed the multi-criteria method in appointment scheduling. Yijlm The parameter is the same 1 if the action Oij is done in section mth at position ith emergency patient; otherwise, it is equal to 0. Zijlm The parameter is the same 1 if the action Oij is done in section mth at position ith the diagnosis is based on the patient’s hospitalization; otherwise, it is equal to 0. It is equal to 0. yijlm The parameter is the same 1 if the action Oij is done in section mth at position ith emergency patient; otherwise, it is equal to 0. zijlm The parameter is the same 1 if the action Oij is done in section mth at position ith the diagnosis is based on the patient’s hospitalization; otherwise, it is equal to 0. tlm The start time of the practical processing that is in the lth position of the mth part clm The end time of the practical processing that is in the lth position of the mth part tlm The start time of the practical processing in the lth position and the mth part
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
