ROBUST SCHEDULING OF BATCH PROCESSES IN UNCERTAIN CASES

Abstract In this paper, a robust scheduling method is suggested in the optimization of batch plant with uncertainties considering not only expected value but also variance. Many papers treating scenario-based stochastic programming took expected values as objective functions. However, the meaning of expected value itself is sum of the probability of each scenario times each objective value. It implies nothing but currently calculated biggest value. It doesn't work when unexpected event happens. Therefore it is required to consider an additional criterion. I will choose variance and standard deviation of objective function.