Skip to main content

Research on Irregular Block Spatial Scheduling Algorithm in Shipbuilding

  • Conference paper
  • First Online:
Advances in Intelligent, Interactive Systems and Applications (IISA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 885))

  • 1312 Accesses

Abstract

This paper addresses the spatial scheduling problem for irregular blocks with purpose of determining the optimal schedule of a given set of irregular blocks and the layout of workplaces by designating the blocks’ workplace simultaneously. Workspace and irregular blocks are described using two-dimensional homogeneous grid. On this basis, the problem is formulated as an optimization model with objectives to minimize duration and to balance workloads over workplaces. A hybrid spatial scheduling algorithm based on genetic algorithm and simulated annealing algorithm is proposed in which the heuristic decoding strategy using vertex positioning and bottom-left moving rules are used. The comparison and computational results shows the proposed hybrid algorithm solves the irregular block spatial scheduling problems effectively and efficiently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cho, K.K., Chung, K.H., Park, C., Park, J.C., Kim, H.S.: A spatial scheduling system for block painting process in shipbuilding. CIRP Ann. Manuf. Technol. 50(1), 339–342 (2001)

    Article  Google Scholar 

  2. Liu, Z., Chua, D.K.H., Wee, K.H.: A simulation model for spatial scheduling of dynamic block assembly in shipbuilding. J. Eng. Project Prod. Manag. 2(1), 3–12 (2011)

    Article  Google Scholar 

  3. Shin, J.G., Kwon, O.H., Ryu, C.H.: Heuristic and metaheuristic spatial planning of assembly blocks with process schedules in an assembly shop using differential evolution. Prod. Plan. Control 19(6), 605–615 (2008)

    Article  Google Scholar 

  4. Koh, S., Eom, C., Jang, J., Choi, Y.: An improved spatial scheduling algorithm for block assembly shop in shipbuilding company. In: 2008 3rd International Conference on Innovative Computing Information and Control, p. 253 (2008)

    Google Scholar 

  5. Kwon, B., Lee, G.M.: Spatial scheduling for large assembly blocks in shipbuilding. Comput. Ind. Eng. 89, 203–212 (2015)

    Article  Google Scholar 

  6. Zhang, Z.Y., Chen, J.: Solving the spatial scheduling problem: a two-stage approach. Int. J. Prod. Res. 50(10), 2732–2743 (2012)

    Article  Google Scholar 

  7. Shang, Z.Y., Gu, J.A., Ding, W., Duodu, E.A.: Spatial scheduling optimization algorithm for block assembly in shipbuilding. Math. Probl. Eng. 2017, 1–10 (2017)

    MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

We are grateful to the reviewers and the editors for their constructive suggestions. This work was supported by the Subject Construction Foundation of Harbin Institute of Technology, Weihai (Grant No. WH20160102).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongjian Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Y., Ci, H. (2019). Research on Irregular Block Spatial Scheduling Algorithm in Shipbuilding. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_146

Download citation

Publish with us

Policies and ethics