An iterated local search for customer order scheduling in additive manufacturing

This paper studies the customer order scheduling problem in context of additive manufacturing. The study discusses an integrated involving nesting parts as well batches nested onto unrelated parallel machines. A mixed-integer programming model is presented, based on existing formulations from literature, that integrates different materials and sequence-dependent setup times. Additionally, a metaheuristic iterated local search proposed for configuration under consideration. Focusing minimizing total weighted tardiness orders, efficiency heuristic approach evaluated using comprehensive test data. Further, we show importance considered order-related objective by qualitative analysis.