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Building the Knowledge-Based System of Machining Supplier Matching

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Advances in Human Factors, Software, and Systems Engineering (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 598))

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Abstract

Customer orientation is one of the key factors in consumer centric situation. The pervious methods consist of processing suppliers, such as telephone interviews or official website browsers. These are incapable of providing immediate and efficient manufacturing information. This paper builds a system, which gets the information processing, and guidelines for supplier selection process. The machining knowledge database collects the relevant information through manufacturers and customer orders, such as monitoring possible customer behavior analysis, behavioral analysis of vendor, and platform profitability analysis of system. Accordance with users’ needs, the system recommend suitable processing providers.

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Authors and Affiliations

  1. Institute of Manufacturing Information and System, National Cheng Kung University, Tainan, Taiwan

    Shang-Liang Chen & Hoai-Nam Dinh

Authors
  1. Shang-Liang Chen
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  2. Hoai-Nam Dinh
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Corresponding author

Correspondence to Hoai-Nam Dinh .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

  2. University of Central Florida, Winter Park, Florida, USA

    Waldemar Karwowski

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Chen, SL., Dinh, HN. (2018). Building the Knowledge-Based System of Machining Supplier Matching. In: Ahram, T., Karwowski, W. (eds) Advances in Human Factors, Software, and Systems Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-60011-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-60011-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60010-9

  • Online ISBN: 978-3-319-60011-6

  • eBook Packages: EngineeringEngineering (R0)

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