Robust scheduling and sequencing in unrelated parallel units considering uncertain time Case Study of Field hospital

Uncertainties in today's complex world are an integral part of common issues. Given these uncertainties in real issues, we can achieve a more reliable level of results. The special circumstances of our country's emergencies, which witness many of these natural and abnormal events, such as earthquakes, floods, accidents and human casualties every year, require special attention to the provision of emergency medical services to injured people at the scene or near the site in priority Specifically, developing mobile hospital systems will have a significant role in reducingmortality rates. In this article, a new look at the issue of therapeutic activities scheduling and sequencing in field hospitals has been uncertain. The proposed model for the assign and sequence therapeutic activities (jobs) in the operating rooms (machines) of a field hospital. In order to solve this model, Simulated Annealing algorithm has been used and the performance of this meta-heuristic algorithm is guaranteed by a methods of designing experiments, called the Response surface method. The results show significant changes after applying uncertainty in the model. The degree ofuncertainty impact in the model depends on the decision maker, and its degree of application determines the degree of variation in the program relative to the certain state