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Available methods for \ndetermining the optimal schedule are primarily based on either \nMILP/MINLP formulation in conjunction with mathematical \nprogramming (Floudas and Lin, 2004; Vaklieva-Bancheva and \nKirilova, 2010) or graph representation in conjunction with \ncombinatorial algorithms (Sanmarti et al., 2002).The current \nwork comprises three major contributions. First, an algorithm \nhas been crafted to generate a superstructure for a scheduling \nproblem. The problem is defined in the form of an S-graph \nrepresenting the recipe. The superstructure contains exclusively \nevery step potentially performed by any of the functional or \noperating facilities or equipment units capable of completing at \nleast one task to be scheduled. These steps involve executions \nof tasks and changeovers from one task to another. Second, an \nMILP formulation is elaborated on the basis of the \nsuperstructure, which guarantees the optimal solution of the \nscheduling problem. 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