Abstract

Traditionally the design of supply chains (SCs) has been based on economic objectives. As societal environment concerns grow, environmental aspects are also emerging at industry level, as decisive factors within the context of SC management. The investment towards logistic structures that consider both economic and environmental performance is nowadays an important research topic. This paper addresses the planning and design of SC structures for annual profit maximization, while considering environmental aspects by means of the Eco-indicator methodology using a Resource-Task-Network methodology. In addition two multi-objective optimization methodologies are applied, which deal with these two goals simultaneously. They are based respectively on symmetric fuzzy linear programming (SFLP) and on the efficient frontier definition through the e-constraint approach. An illustrative example is solved and the two methods are compared.

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