Ranking the solution techniques for reactive scheduling problem in operating room

The main aim of this paper is to express the techniques which can solve reactive scheduling problem in operating room and then compare them for ranking. On the one hand importance of scheduling for operating rooms in hospitals is increasing for the reasons like hospitals reputations and expenses and on the other hand in real world, scheduling of operating rooms is not often static. Hence, the authors have made an endeavor to show the reactive scheduling in this field. There are many techniques and methods to solve the problem, but academics and practitioners are concerned with the best techniques in this field. Therefore, an attempt has been made to represent and compare and rank the most common techniques by applying the analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS).