Customer Order Scheduling in an Additive Manufacturing Environment

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

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.

Details

Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
PublisherSpringer Science and Business Media B.V.
Pages101-109
Number of pages9
ISBN (electronic)978-3-030-85910-7
ISBN (print)978-3-030-85909-1, 978-3-030-85912-1
Publication statusPublished - 2021
Peer-reviewedYes

Publication series

SeriesIFIP Advances in Information and Communication Technology
Volume633
ISSN1868-4238

Conference

Title2021 International Conference on Advances in Production Management Systems
SubtitleArtificial Intelligence for Sustainable and Resilient Production Systems
Abbreviated titleAPMS 2021
Duration5 - 9 September 2021
Website
LocationOnline
CityNantes
CountryFrance

External IDs

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

Keywords

Keywords

  • Additive manufacturing, Customer order scheduling, Unrelated parallel machines