A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain

This research proposes a multi-period multiple parts mixed-integer linear programming optimization model for the trade-off analysis of spare supply through computer numerical control (CNC) manufacturing and additive (AM). The have different characteristics such as volume, shape size, geometry complexity. focuses on minimizing lead times thus reducing downtime costs. Scenario analyses are developed some parameters to assess robustness model. shows that mix between AM-based CNC-based is sensitive changes in demand. For given data, findings demonstrate AM cost-effective with having high complexity while economically feasible low large sizes. proposed can support decision-makers selecting optimal method attributes. paper concludes limitations future directions.