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A Linear Time Algorithm for Optimal Quay Crane Scheduling

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

Lecture Notes in Computer Science

Original language

English

Pages from-to (Number of pages)

Pages 60–73 (13 pages)

Publication milestones

  • Published - 14/09/2022

Publication status

Published - 14/09/2022

Volume

13557

Publisher

Springer, United States, Germany

Publication IDs

  • Scopus: 85138779090

Host publication title

International Conference on Computational Logistics

Abstract

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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Captures
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Citations
1

Related Event

Title

International Conference on Computational Logistics 2022

Event type

Conference

Degree of recognition

International event

Date

21/09/2022 - 23/09/2022

Location

Universitat Pompeu FabraBarcelonaSpain