Discrete-event simulation applied to a radiotherapy process: a case study of a cancer center

Goal: This research aims to investigate how to maximize the throughput and reduce the waiting time for oncological patients of a radiotherapy process. Design / Methodology / Approach: A case study was conducted to develop a simulation model integrated with optimization techniques, including an expert system to support everyday decision making in the operation. Results: The experiments demonstrated that the approach was able to identify better configurations of the process, improving productivity without deteriorating quality. Results also considered the future acquisition of a new linear accelerator allowing the operation to plan its ramp up accordingly. Another result is the devised tool to allow the operation to run its own simulation studies. Limitations of the investigation: The results are valid for processes with similar characteristics of the one studied in the present paper, closing the scope at the treatment stage. Practical implications: This work demonstrates the possibility of applying modern simulation techniques in radiotherapy, not only enabling improvements for the present situation but also integrating the model to the operation to support everyday decision making. Originality / Value: The number of details captured by the model is significantly higher than others studies. The integration of the methodology to the treatment process makes possible for the operation to continue benefiting from the model in a long term.