Customer Order Scheduling in an Additive Manufacturing Environment

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review



This paper investigates the customer order scheduling problem on unrelated parallel additive manufacturing machines. The discussed problem comprises the splitting of orders into jobs, the allocation of those jobs to builds and finally the sequencing of builds on 3D printers. A mixed-integer programming model is presented that integrates practical requirements, such as printing profiles and different materials, and minimises total weighted tardiness. Using the Gurobi solver computational results are then given for a comprehensive test bed. It is shown, that medium sized problems can be solved using the proposed model, and that the consideration of printing profiles has a relevant impact on the scheduling task in additive manufacturing.


Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
PublisherSpringer Science and Business Media B.V.
Number of pages9
ISBN (print)9783030859091
Publication statusPublished - 2021


TitleIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Duration5 - 9 September 2021

External IDs

ORCID /0000-0003-4711-2184/work/115248261
ORCID /0000-0003-0753-0517/work/142255241



  • Additive manufacturing, Customer order scheduling, Unrelated parallel machines