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The Impact of Object-Oriented Order Picking System on Performance in a Supply Chain

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Frontiers in Computer Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 133))

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Abstract

Simulation has been proven one of the fundamental methodologies in operations research-related fields. The simulation created by an object-oriented program has the advantages of hierarchical structures, inheritance, polymorphism, and the re-use of objects. This paper uses eM-plant software for object-oriented, which is based on the minimum overall traveling distance as the optimum performance index, the cross aisle quantity, warehouse layout, storage assignment, picking route planning, and picking density in the warehouse system. This paper aims to improve the performance of order picking system in a warehouse through an object-oriented simulation study. Data are obtained from a real case. This study examines several storage assignment policies and several sensitivity analyses. Finally, the results provide managers as a reference in the warehouse planning or warehouse design improvement in the future.

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Author information

Authors and Affiliations

  1. Dept. of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan

    Ming-Feng Yang

  2. Dept. of International Business, Providence University, Taichung, Taiwan

    Hung-Jen Tu

  3. Dept. of Business Administration, Takming University of Science & Technology, Taipei, Taiwan

    Ming-Hung Wu

Authors
  1. Ming-Feng Yang
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  2. Hung-Jen Tu
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  3. Ming-Hung Wu
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Corresponding author

Correspondence to Ming-Feng Yang .

Editor information

Editors and Affiliations

  1. South China Normal University, Guangzhou, 510631, China, People's Republic

    Sabo Sambath

  2. South China Normal University, Guangzhou, 510631, China, People's Republic

    Egui Zhu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Yang, MF., Tu, HJ., Wu, MH. (2012). The Impact of Object-Oriented Order Picking System on Performance in a Supply Chain. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_110

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  • DOI: https://doi.org/10.1007/978-3-642-27552-4_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27551-7

  • Online ISBN: 978-3-642-27552-4

  • eBook Packages: EngineeringEngineering (R0)

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