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Quick and situ-aware spatiotemporal scheduling for shipbuilding manufacturing

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Abstract

Spatiotemporal scheduling of the block assembly process in shipbuilding is to determine temporal information including a time period when each block is under assembly and spatial information including an assigned bay and the placement of the block within the assigned bay. Due to a large number of discrete variables to optimize, finding an optimal schedule in a reasonably short time is almost impossible. Instead, we divide the problem into two phases where the first phase determines the bay assignment and processing start date for each block and the second phase determines the coordinates and rotation of each block in its assigned bay. Our objective is to find a block assembly schedule that minimizes the number of blocks that fail to be processed on time and unfairness in workloads across bays and days. The proposed algorithm is tested on six datasets of block information provided by Korea Shipbuilding & Offshore Engineering Co., Ltd. (KSOE). Our algorithm speeds up the scheduling process and finds schedules of higher quality compared to the original schedules that are manually planned by KSOE.

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Data availability

The author of this study from KSOE did not agree that the company’s data be shared publicly due to security issues, so supporting data obtained from KSOE are unavailable.

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Acknowledgements

This work is revised from a chapter of the first author’s doctoral dissertation (He, 2020). The third author was a thesis advisor, and the second author was a collaborator while the research was performed. The full thesis is accessible at http://hdl.handle.net/1853/63649.

Funding

This work was supported by Korea Shipbuilding & Offshore Engineering Co., Ltd.

Author information

Author notes

  1. Junying He and Soon-Ik Hong have contributed equally to this work.

Authors and Affiliations

  1. Zhejiang Cainiao Supply Chain Management Co., Ltd., 168 Wuchang Rd. Yuhang, Hangzhou, Zhejiang, China

    Junying He

  2. Korea Shipbuilding & Offshore Engineering Co., Ltd., 55 Bundang-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13591, Republic of Korea

    Soon-Ik Hong

  3. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 755 Ferst Dr. NW, Atlanta, GA, 30332, USA

    Seong-Hee Kim

Authors
  1. Junying He
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  2. Soon-Ik Hong
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  3. Seong-Hee Kim
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Correspondence to Seong-Hee Kim.

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He, J., Hong, SI. & Kim, SH. Quick and situ-aware spatiotemporal scheduling for shipbuilding manufacturing. J Sched (2024). https://doi.org/10.1007/s10951-024-00804-1

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