Generalized Classes for Lower Levels of Supply Chain Management: Object-Oriented Approach

Abstract A possible and promising approach to effectively tackle the distinct optimization levels of supply chain hierarchy is to combine the object-oriented programming with the parallel computing. From this perspective, the paper proposes a generalized framework to solve the lowest levels of supply chain management paradigm by means of the BzzMath library as numerical kernel (optimizers and differential solvers) and openMP directives for exploiting shared memory machines. Also, the object-oriented approach allows the implementation of more solvers to force the same generalized class to automatically select the best one among them according to the problem and the user has not to worry about what solver and which optimizer are preferable.

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