Development of models in uncertainty enviroments to design socially responsible supply chains. Application of solution strategies based on hybrid metaheuristics

In recent years, the importance of social responsibility in enterprises and business units in both the research and professional fields has been increasingly highlighted. As supply chains play an important role in today’s business environment, aspects associated with social responsibility should be carefully considered when designing and planning a supply chain that wishes to move towards sustainability. This project addresses the design (or redesign) problem of socially responsible supply chains under uncertainty conditions. For this purpose, multi-objective mathematical models will be developed whose definition will consider economic, social and environmental aspects. To effectively address uncertain parameters, models based on the Fuzzy Set Theory and the Possibility Theory will be proposed. A case and an industrial study based on real data will be proposed to illustrate the performance and applicability of the proposed models. Finally, as the models followed to design supply chains in real environments may present some degree of certain complexity for the optimal solution, solution algorithms based on the use of metaheuristics will be proposed, and special attention will be paid to using hybrid metaheuristics.