Building the knowledge-based system of machining supplier matching

Shang Liang Chen, Hoai Nam Dinh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances in Human Factors, Software, and Systems Engineering - Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017
EditorsTareq Ahram, Waldemar Karwowski
PublisherSpringer Verlag
Pages43-50
Number of pages8
ISBN (Print)9783319600109
DOIs
Publication statusPublished - 2018 Jan 1
EventAHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017 - Los Angeles, United States
Duration: 2017 Jul 172017 Jul 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume598
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017
CountryUnited States
CityLos Angeles
Period17-07-1717-07-21

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Chen, S. L., & Dinh, H. N. (2018). Building the knowledge-based system of machining supplier matching. In T. Ahram, & W. Karwowski (Eds.), Advances in Human Factors, Software, and Systems Engineering - Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017 (pp. 43-50). (Advances in Intelligent Systems and Computing; Vol. 598). Springer Verlag. https://doi.org/10.1007/978-3-319-60011-6_5