摘要：Outpatient chemotherapy departments' operational harmony depends on the proper strategic, tactical, and operational decisions. The integrated consideration of capacity dimensioning, resources planning, scheduling policy, appointment planning, scheduling, and resources-to-patients assignment can improve the outpatient chemotherapy process's (OCP) overall performance due to interdependencies. However, developing a comprehensive and stochastic OCP decision support system is complex. Thus, the planning, scheduling, and assignment problems are rarely addressed together. Therefrom, a multi-objective simulation-based optimization approach is proposed in this paper to handle the various OCP challenges. The proposed approach showed superior performance compared to a baseline using real data from an outpatient chemotherapy center.
关键词：outpatient chemotherapy;cancer;oncology health care;stochastic simulation based optimization;multi objectives;planning;scheduling;decision making heuristic;blackbox optimization;artificial intelligence
