Instances for the Collaborative Batching Problem in Multi-Site Additive Manufacturing
Description
Additive Manufacturing (AM) is a technology with the potential to disrupt entire supply chains - one reason why AM attracted attention from both academia and practitioners in the last decade. In recent years researchers focused on increasing efficiencies of AM operations as the technology reached new levels of maturity. Collaborative production (CP) is a proven approach to decrease the costs of operations in conventional fields of production. However, CP has not been sufficiently studied in the context of AM. We introduce the collaborative multi-site batching problem in the context of AM, where we assume that production orders have to be batched and scheduled at several geographically distributed manufacturing sites by a central authority. This dataset provides instances for (i) determining the performance of algorithms for the collaborative multi-site additive manufacturing problem, and (ii) evaluating efficiency gains of collaborative scenarios of the problem.