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Simulation of Logistics System with Aspect of Pallet Requirements Optimization Based on Digital Factory

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Advances in Automation and Robotics, Vol.1

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 122))

Abstract

Digital Factory Technology helps not only to reduce the uncertainty from the planning to workshop execution, but also to increase reliability and capability of the facilities to be installed or re-built. Moreover, it keeps the production facility investment and logistics costs under control. This thesis first gives a process-analysis based assessment of the dynamic demands of pallets for component dispatching to an assembly line. Then, by using simulation with Delmia/Quest for Digital Factory, the demand forecast of pallets turns to be much more accurate. As a result, the total investment on the dispatching pallets in the new facility to be installed effectively goes down.

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Author information

Authors and Affiliations

  1. State Key Lab of Digital Manufacturing Equipment and Technology, Hubei, Wuhan, 430074, China

    Zailin Guan, ChuangJian Wang & Xinyu Shao

  2. HUST-SANY Joint Laboratory of Advanced Manufacturing Technology Key, Hubei, Wuhan, 430074, China

    Zailin Guan & ChuangJian Wang

  3. Huazhong University of Science and Technology, Hunan, Changsha, 410079, China

    Luguang Cao, Yanyan Cui & Xinyu Shao

Authors
  1. Zailin Guan
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  2. Luguang Cao
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  3. ChuangJian Wang
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  4. Yanyan Cui
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  5. Xinyu Shao
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Editor information

Editors and Affiliations

  1. Information Engineering Research Institute, 100 Continental Dr, 19713, Newark, DE, United States

    Gary Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Guan, Z., Cao, L., Wang, C., Cui, Y., Shao, X. (2011). Simulation of Logistics System with Aspect of Pallet Requirements Optimization Based on Digital Factory. In: Lee, G. (eds) Advances in Automation and Robotics, Vol.1. Lecture Notes in Electrical Engineering, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25553-3_37

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  • DOI: https://doi.org/10.1007/978-3-642-25553-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25552-6

  • Online ISBN: 978-3-642-25553-3

  • eBook Packages: EngineeringEngineering (R0)

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