A Linear Time Algorithm for Optimal Quay Crane Scheduling
- Mathias Offerlin Herup,
- Gustav Christian Wichmann Thiesgaard,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Lecture Notes in Computer ScienceOriginal language
EnglishPages from-to (Number of pages)
Pages 60–73 (13 pages)Publication milestones
- Published - 14/09/2022
Publication status
Published - 14/09/2022
Volume
13557Publisher
Springer, United States, GermanyPublication IDs
- Scopus: 85138779090
Host publication title
International Conference on Computational LogisticsAbstract
This paper studies the Quay Crane Scheduling Problem (QCSP). The QCSP determines how a number of quay cranes should be scheduled in order to service a vessel with minimum makespan. Previous work considers the QCSP to be a combinatorially hard problem. For that reason, the focus has been on developing efficient heuristics. Our study shows, however, that the QCSP is tractable in the realistic setting, where quay cranes can share the workload of bays. We introduce a novel linear time algorithm that solves the QCSP and prove its correctness.
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Related Event
Title
International Conference on Computational Logistics 2022
Event type
ConferenceDegree of recognition
International eventDate
21/09/2022 - 23/09/2022Location
Universitat Pompeu FabraBarcelonaSpain
