ACADSTAFF UGM
| Judul/Title | Operating room scheduling using hybrid clustering priority rule and genetic algorithm |
| Penulis/Author | LINDA WAHYUNI S (1); Ir. Andi Sudiarso, S.T., M.T., M.Sc., Ph.D., IPM., ASEAN Eng. (2); Prof. Ir. Nur Aini Masruroh, ST., M.Sc., Ph.D., IPU., ASEAN Eng. (3); Ir. Muhammad Kusumawan Herliansyah, S.T., M.T.,Ph.D., IPU., ASEAN Eng. (4); Ir. Andi Rahadiyan Wijaya, S.T., M.Sc., Ph.D., IPM., ASEAN Eng. (5) |
| Tanggal/Date | 7 2017 |
| Kata Kunci/Keyword | |
| Abstrak/Abstract | Operating room is a bottleneck resource in most hospitals so that operating room scheduling system will influence the whole performance of the hospitals. This research develops a mathematical model of operating room scheduling for elective patients which considers patient priority with limit number of surgeons, operating rooms, and nurse team. Clustering analysis was conducted to the data of surgery durations using hierarchical and non-hierarchical methods. The priority rule of each resulting cluster was determined using Shortest Processing Time method. Genetic Algorithm was used to generate daily operating room schedule which resulted in the lowest values of patient waiting time and nurse overtime. The computational results show that this proposed model reduced patient waiting time by approximately 32.22% and nurse overtime by approximately 32.74% when compared to actual schedule. |
| Rumpun Ilmu | Teknik Industri |
| Level | Internasional |
| Status |