SpringerLink
Log in

A Shipborne Dense Storage Warehouse System Based on Two-Way Transportation Line Strategy

  • Conference paper
  • First Online:
Industrial Engineering and Industrial Management (IEIM 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2070))

  • 102 Accesses

Abstract

The shipborne warehouses store maintenance accessories, daily necessities, military equipment, etc., and they are important components of military support. These ships are mainly responsible for receiving, storing and distributing items. Due to limited ship space and increasing efficiency requirements for access operations, ship warehouses will gradually achieve automation, digitization, and intensive management. In this paper, the ship dense storage warehouse system greatly increases storage capacity. At the same time, the warehouse input and output operations are fast and accurate, shortening the operation time. The two-way transportation lines strategy is an improvement compared to the traditionally one-way strategy, and this two-way strategy is suitable for storing supplies which have wide varieties and large weights. The left and right horizontal movement lines increase the number of input and output ports, and the transportation tasks coordinated with AMRs make the transmission more flexible. The warehouse space is a whole space, and also can be several isolated spaces, which share elevators, and this space system is suitable for irregular, low-high, and multiple-layer spaces in ships.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (France)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 58.84
Price includes VAT (France)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 73.84
Price includes VAT (France)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Xu, Y., Shan, Y., Zhang, J., Fei, L.: Failure analysis in ammunition storage life modeling. In: 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control, Harbin, China, pp. 320–323 (2014). https://doi.org/10.1109/IMCCC.2014.73

  2. **ang, H., Wang, K., Li, Z.: Monitored control system of temperature/humidity for ammunition storehouse based on LabVIEW. In: 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control, Bei**g, China, pp. 172–175 (2011). https://doi.org/10.1109/IMCCC.2011.52

  3. Liu, J., Ling, D., Wang, S.: Ammunition storage reliability forecasting based on radial basis function neural network. In: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Chengdu, China, pp. 599–602 (2012). https://doi.org/10.1109/ICQR2MSE.2012.6246305

  4. Wang, Y.-W., et al.: Pressure relief of underground ammunition storage under missile accidental ignition. Defence Technol. 17, 1081–1093 (2021)

    Article  Google Scholar 

  5. Liu, J., An, Z., Zhang, Q., Zhao, T., Liu, G.: Research on safety assessment of gas environment in ammunition warehouse. In: 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), Chengdu, China, pp. 1397–1399 (2013). https://doi.org/10.1109/QR2MSE.2013.6625830

  6. Zhipeng, N., Hui, L., Ying, Z.: Research on ammunition storage overall technology of major and medium naval gun basing on AHP. In: 2016 International Conference on Robots & Intelligent System (ICRIS), ZhangJiaJie, China, pp. 316–319 (2016). https://doi.org/10.1109/ICRIS.2016.66

  7. Qiua, R., et al.: A robust optimization approach for multi-product inventory management in a dual-channel warehouse under demand uncertainties. Omega 109, 102591 (2022)

    Article  Google Scholar 

  8. Torabizadeh, M., et al.: Identifying sustainable warehouse management system indicators and proposing new weighting method. J. Clean. Prod. 248, 119190 (2020)

    Article  Google Scholar 

  9. Sai Subrahmanya Tejesh, B., et al.: Warehouse inventory management system using IoT and open source framework. Alexandria Engineering J. 57, 3817–3823 (2018)

    Google Scholar 

  10. Rebelo, C.G.S., et al.: The relevance of space analysis in warehouse management. In: 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021) 15–18 June 2021, Athens, Greece

    Google Scholar 

  11. Brownlow, L.C., et al.: A multilayer network approach to vulnerability assessment for early-stage naval ship design programs. Ocean Eng. 225, 108731 (2021)

    Article  Google Scholar 

  12. Fichtinger, J., et al.: Assessing the environmental impact of integrated inventory and warehouse management. Int. J. Production Economics 170, 717–729 (2015)

    Article  Google Scholar 

  13. Son, D.W., et al.: Design of warehouse control system for real time management. IFAC-PapersOnLine 48(3), 1435–1439 (2015)

    Google Scholar 

  14. Alamri, A.A., et al.: Beyond LIFO and FIFO: exploring an allocation-in-fraction-out (AIFO) policy in a two-warehouse inventory model. Int. J. Prod. Econ. 206, 33–45 (2018)

    Article  Google Scholar 

  15. Lanza, G., et al.: Assigning and sequencing storage locations under a two level storage policy: optimization model and matheuristic approaches. Omega 108, 102565 (2022)

    Article  Google Scholar 

  16. Natalia Burganova, et al.: Optimalisation of internal logistics transport time through warehouse management: case study. In: 14th International scientific conference on sustainable, modern and safe transport, Transportation Research Procedia 55, 553560 (2021)

    Google Scholar 

  17. Aravindaraj, K., et al.: A systematic literature review of integration of industry 4.0 and warehouse management to achieve Sustainable Development Goals (SDGs). Cleaner Logistics and Supply Chain 5, 100072 (2022)

    Google Scholar 

  18. Peng, K., et al.: An effective hybrid algorithm for permutation flow shop scheduling problem with setup time. Procedia CIRP 72, 1288–1292 (2018)

    Article  Google Scholar 

  19. Shiau, J.-Y., et al.: A warehouse management system with sequential picking for multi-container deliveries. Comput. Ind. Eng. 58, 382–392 (2010)

    Article  Google Scholar 

  20. Rehman, S.: A parallel and silent emerging pandemic: antimicrobial resistance (AMR) amid COVID-19 pandemic. J. Infect. Public Health 16, 611–617 (2023)

    Article  Google Scholar 

Download references

Acknowledgement

We wish to thank the 5th International Conference on Industrial Engineering and Industrial Management for providing this chance to submit our paper. After that, thank you to all those who helped us during the paper writing.

Author information

Authors and Affiliations

  1. State Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China

    Miao He & Zailin Guan

  2. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China

    Chuangjian Wang

  3. School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China

    Guoxiang Hou

Authors
  1. Miao He
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zailin Guan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chuangjian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guoxiang Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guoxiang Hou .

Editor information

Editors and Affiliations

  1. Asian University, Taichung, Taiwan

    Shey-Huei Sheu

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

He, M., Guan, Z., Wang, C., Hou, G. (2024). A Shipborne Dense Storage Warehouse System Based on Two-Way Transportation Line Strategy. In: Sheu, SH. (eds) Industrial Engineering and Industrial Management. IEIM 2024. Communications in Computer and Information Science, vol 2070. Springer, Cham. https://doi.org/10.1007/978-3-031-56373-7_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56373-7_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56372-0

  • Online ISBN: 978-3-031-56373-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation