6. Conclusions
Enterprises in CN are characterised by being autonomous and heterogeneous, and each one defines different objectives and formulates various strategies, which can sometimes be contradictory, negatively influencing one another. This paper addresses the decision-making process of selecting strategies from a collaborative perspective. In light of this, our paper proposes a DSS for the collaborative selection of aligned strategies among the enterprises that belong to a CN. The developed model-driven DSS architecture combines the use of: (i) a mathematical model that allows the definition of the decision context and decision criteria by representing the strategies alignment decision-making process (SA-DMM); (ii) a simulation software (AnyLogic), based on SD, used to solve SA-DMM; (iii) a database that includes all the input data needed in SA-DMM, which are required to carry out decision making; and (iv) the SAGEN application, that allows to automatically build the SA-DMM in the simulation software. The DSS-SAS allows identifying the number of units of each strategy (u_stris) to be activated and the time instant in which each strategy is to be activated (ti′_stris), in order to maximise network performance (kpinet′).