Abstract
The target of this paper is to present a novel mathematical model to design a resilient and energy efficiency additive
manufacturing supply chain. This model minimizes the total cost of designing SC by selecting the optimal location and type of
3D printers to meet customer demand through active facilities and penalizing lost demand if necessary. To evaluate the
efficiency of the proposed algorithm, several experimental instances are solved and the results for a selected case is reported.
The results obtained for the selected case demonstrate that the proposed model can effectively reduce energy costs, with only
a slight increase in expected shipment costs while the fixed location costs and expected penalty costs remains unchanged.