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Design of Intelligent Warehouse Management System

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Abstract

With the continuous development and application of information technology in the logistics industry, mobile applications, bar code, wireless communication, system integration and other technologies are widely used in warehouse management. Focusing on warehousing process management has become a new trend of informatization and lean management of material warehouse management. In this paper, the management of distributed storage cloud model is discussed, and a variety of automation, intelligence and information technology are utilized to effectively integrate the resources effectively. The author studies the resource scheduling optimization problem in the system, proposes an effective scheduling method, and initially realizes the intelligent warehouse management system based on cloud model, which provides users with a good package management service.

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References

  1. Yang, L. Q., & Bi, Y. Y. (2015). Internet of things technology implementation by applying SDLC model: The intelligent storage management system. Applied Mechanics and Materials, 556–562(3), 5385–5390.

    Google Scholar 

  2. Zhang, Y., Liu, B., Zhang, T., et al. (2015). An intelligent control strategy of battery energy storage system for microgrid energy management under forecast uncertainties. International Journal of Electrochemical Science, 9(8), 4190–4204.

    Google Scholar 

  3. Sami, B. S., & Jeddah, S. (2017). An intelligent power management investigation for stand-alone hybrid system using short-time energy storage. International Journal of Power Electronics & Drive Systems, 8(1), 10.

    Google Scholar 

  4. Fleiner, C., Garner, R. B., Hafner, J. L., et al. (2016). Reliability of modular mesh-connected intelligent storage brick systems. Ibm Journal of Research & Development, 50(2.3), 199–208.

    Article  Google Scholar 

  5. Yoo, C. H., Chung, I. Y., Lee, H. J., et al. (2016). Intelligent control of battery energy storage for multi-agent based microgrid energy management. Energies, 6(10), 4956–4979.

    Article  Google Scholar 

  6. Yan, Q., Xing, C. X., & Zhou, L. Z. (2017). Design and implementation of the storage node management system in CNGI-MSN. Journal of Chinese Computer Systems, 28(8), 1532–1536.

    Google Scholar 

  7. Chauhan, R. K., Rajpurohit, B. S., Gonzalez-Longatt, F. M., et al. (2016). Intelligent energy management system for PV-battery-based microgrids in future DC homes. International Journal of Emerging Electric Power Systems, 17(3), 339–350.

    Article  Google Scholar 

  8. Bottani, E., Montanari, R., Rinaldi, M., et al. (2015). Intelligent algorithms for warehouse management. Intelligent Systems Reference Library, 87(1), 645–667.

    Article  Google Scholar 

  9. Duan, S., & Xu, Y. (2016). Construction of intelligent logistics warehouse management information system based on RFID technology. Mining & Processing Equipment, 38(21), 7410–7421.

    Google Scholar 

  10. Wang, S. H., Information, S. O., & University, B. W. (2016). Application of RFID in heavy truck logistics warehouse management. Logistics Sci-Tech, 6(1), 128–137.

    Google Scholar 

Download references

Funding

Funding was provided by China Scholarship Fund and Jilin provincial science and technology department project in 2017 (Grant No. 20170418058FG).

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Authors and Affiliations

  1. College of Transportation, Jilin University, Changchun, China

    Jia Mao & Huihui Xing

  2. Institute of Mechanical Science and Engineering, Jilin University, Changchun, China

    Xiuzhi Zhang

Authors
  1. Jia Mao
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  2. Huihui Xing
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  3. Xiuzhi Zhang
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Corresponding author

Correspondence to Jia Mao.

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Cite this article

Mao, J., Xing, H. & Zhang, X. Design of Intelligent Warehouse Management System. Wireless Pers Commun 102, 1355–1367 (2018). https://doi.org/10.1007/s11277-017-5199-7

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  • DOI: https://doi.org/10.1007/s11277-017-5199-7

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