A Model Driven Approach to Transform Business Vision-Oriented Decision-Making Requirement into Solution-Oriented Optimization Model

Currently in our highly connected society, there is a strong requirement for decision-makers in organizations to coordinate and schedule their activities. Frequently, there are various uncertain factors, multiple objectives, many business knowledge and requirements, which heavily increase the difficulty of decision-making process regarding these issues. Therefore, a decision-maker will appreciate having control over the formulation of decision-making models and being able to adapt to highly dynamic situation. In this paper, we study a Model Driven Engineering (MDE) approach to link the business requirement defined by a model with solution-oriented logical models, which are codes that could be submitted to a combinatorial optimization solver. The design of our proposal follows the principles of three-levels Model Driven Architecture (MDA) and is based on a cognitive process for decision-making systems. Then, several transformation rules between models are explained to realize automatic Model to Model Transformation (M2M) with a special emphasis on the Platform Independent Model (PIM) to Platform Specific Model (PSM) part. To make a proof of our model transformation chain efficiency, a classical Travelling Salesman Problem (TSP) is chosen as a use case.