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A decomposition heuristic for the twin robots scheduling problem

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  • Nils Boysen
  • Dirk Briskorn
  • Simon Emde

Abstract

This article provides an efficient heuristic based on decomposition for the twin robots scheduling problem (TRSP). TRSP concerns two moving robots executing storage and retrieval requests in parallel along a shared pathway. The depots are located at both ends of the line and a dedicated robot is assigned to each of them. While moving goods between their respective depots and some storage locations on the line, noncrossing constraints among robots need to be considered. Our heuristic uses a dynamic programming framework to determine the schedule of one robot while keeping the other one's fixed. It finds near‐optimal solutions even for large problem instances with hundreds of jobs in a short time span. © 2014 Wiley Periodicals, Inc. 62:16–22, 2015

Suggested Citation

  • Nils Boysen & Dirk Briskorn & Simon Emde, 2015. "A decomposition heuristic for the twin robots scheduling problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(1), pages 16-22, February.
    • Handle: RePEc:wly:navres:v:62:y:2015:i:1:p:16-22
    DOI: 10.1002/nav.21610
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    References listed on IDEAS

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    1. Güneş Erdoğan & Maria Battarra & Gilbert Laporte, 2014. "Scheduling twin robots on a line," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 119-130, March.
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    Cited by:

    1. Lennart Zey & Dirk Briskorn & Nils Boysen, 2022. "Twin-crane scheduling during seaside workload peaks with a dedicated handshake area," Journal of Scheduling, Springer, vol. 25(1), pages 3-34, February.
    2. Chen, Ran & Yang, Jingjing & Yu, Yugang & Guo, Xiaolong, 2023. "Retrieval request scheduling in a shuttle-based storage and retrieval system with two lifts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    3. Dirk Briskorn, 2021. "Routing two stacking cranes with predetermined container sequences," Journal of Scheduling, Springer, vol. 24(4), pages 367-380, August.
    4. Florian Jaehn & Andreas Wiehl, 2020. "Approximation algorithms for the twin robot scheduling problem," Journal of Scheduling, Springer, vol. 23(1), pages 117-133, February.
    5. Gharehgozli, Amir & Yu, Yugang & de Koster, René & Du, Shaofu, 2019. "Sequencing storage and retrieval requests in a container block with multiple open locations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 261-284.
    6. Dirk Briskorn & Florian Jaehn & Andreas Wiehl, 2019. "A generator for test instances of scheduling problems concerning cranes in transshipment terminals," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 45-69, March.
    7. Wang, Mengyao & Zhou, Chenhao & Wang, Aihu, 2022. "A cluster-based yard template design integrated with yard crane deployment using a placement heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).

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