IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v18y2025i1d10.1007_s12063-024-00516-x.html
   My bibliography  Save this article

Enhancing regional defense: barrier placement optimization along coasts

Author

Listed:
  • Shangyao Yan

    (National Central University)

  • Jieh-Haur Chen

    (National Central University
    Safety and Health Association of Taiwan)

  • Shao-Heng Chang

    (National Central University)

  • Hsi-Hsien Wei

    (Hong Kong Polytechnic University)

Abstract

This study objective is to minimize total setup time while optimizing resource allocation for military barrier placement. Achieving this goal involves employing a mathematical programming approach in conjunction with the Relax-and-Fix heuristics algorithm. The proposed model considers individual resource constraints related to continuous operation time and rest periods by introducing a systematic stepwise relaxation-fixation algorithm, complemented by CPLEX mathematical programming software, to determine the optimal assignment schedule for coastal barrier placement. Notably, the proposed model demonstrates a substantial efficiency improvement of 99.69% compared to CPLEX. Evaluation results indicate a significant reduction in total time, with decreases of 73.79%, 58.02%, and 70.71% compared to actual exercise performance. Scenario analyses highlight the model's adaptability across different scales and configurations of military barrier placements, with particular sensitivity to excavator allocation during military exercises. This research contributes by empowering decision-makers to adapt parameters based on known conditions, addressing the assignment problem for unordered tasks, and demonstrating practical applicability in diverse geographical regions.

Suggested Citation

  • Shangyao Yan & Jieh-Haur Chen & Shao-Heng Chang & Hsi-Hsien Wei, 2025. "Enhancing regional defense: barrier placement optimization along coasts," Operations Management Research, Springer, vol. 18(1), pages 257-268, March.
    • Handle: RePEc:spr:opmare:v:18:y:2025:i:1:d:10.1007_s12063-024-00516-x
    DOI: 10.1007/s12063-024-00516-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-024-00516-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-024-00516-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mumtaz Karatas & Emily Craparo & Gülşen Akman, 2018. "Bistatic sonobuoy deployment strategies for detecting stationary and mobile underwater targets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(4), pages 331-346, June.
    2. Chen, Zhi & Demeulemeester, Erik & Bai, Sijun & Guo, Yuntao, 2018. "Efficient priority rules for the stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 270(3), pages 957-967.
    3. Symeon Christodoulou & Georgios Ellinas & Pooyan Aslani, 2009. "Disorder considerations in resource-constrained scheduling," Construction Management and Economics, Taylor & Francis Journals, vol. 27(3), pages 229-240.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emily Craparo & Mumtaz Karatas, 2020. "Optimal source placement for point coverage in active multistatic sonar networks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(1), pages 63-74, February.
    2. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    3. Annear, Luis Mauricio & Akhavan-Tabatabaei, Raha & Schmid, Verena, 2023. "Dynamic assignment of a multi-skilled workforce in job shops: An approximate dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1109-1125.
    4. Liu Shu-Shun & Kuo-Chuan Shih, 2009. "A framework of critical resource chain for project schedule analysis," Construction Management and Economics, Taylor & Francis Journals, vol. 27(9), pages 857-869.
    5. Bosse, Alexander & Ulmer, Marlin W. & Manni, Emanuele & Mattfeld, Dirk C., 2023. "Dynamic priority rules for combining on-demand passenger transportation and transportation of goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 399-408.
    6. Masoud Arjmand & Amir Abbas Najafi & Majid Ebrahimzadeh, 2020. "Evolutionary algorithms for multi-objective stochastic resource availability cost problem," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 935-985, September.
    7. Pejman Peykani & Jafar Gheidar-Kheljani & Sheida Shahabadi & Seyyed Hassan Ghodsypour & Mojtaba Nouri, 2023. "A two-phase resource-constrained project scheduling approach for design and development of complex product systems," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    8. Zhang, Jingwen & Li, Lubo & Demeulemeester, Erik & Zhang, Haohua, 2024. "A three-dimensional spatial resource-constrained project scheduling problem: Model and heuristic," European Journal of Operational Research, Elsevier, vol. 319(3), pages 943-966.
    9. Xuejun Hu & Jianjiang Wang & Kaijun Leng, 2019. "The Interaction Between Critical Chain Sequencing, Buffer Sizing, and Reactive Actions in a CC/BM Framework," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-22, June.
    10. Zixuan Zhang & Michail Chronopoulos & Dimitrina S. Dimitrova & Ioannis Kyriakou, 2024. "Risk assessment and optimal scheduling of serial projects," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 709-736, September.
    11. Osman Hürol Türkakın & David Arditi & Ekrem Manisalı, 2021. "Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem," Sustainability, MDPI, vol. 13(17), pages 1-17, September.
    12. Chunlai Yu & Xiaoming Wang & Qingxin Chen, 2025. "Efficient Rollout Algorithms for Resource-Constrained Project Scheduling with a Flexible Project Structure and Uncertain Activity Durations," Mathematics, MDPI, vol. 13(9), pages 1-25, April.
    13. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    14. Yan Zhao & Xuejun Hu & Jianjiang Wang & Nanfang Cui, 2024. "A robust multi-project scheduling problem under a resource dedication-transfer policy," Annals of Operations Research, Springer, vol. 337(1), pages 425-457, June.
    15. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Aleatory uncertainty quantification of project resources and its application to project scheduling," Reliability Engineering and System Safety, Elsevier, vol. 211(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:18:y:2025:i:1:d:10.1007_s12063-024-00516-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.