A kano-based quick-response product configuration system under industry 4.0

Ching Hung Lee, Fan Li, Chun Hsien Chen, Chenyu Lin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Based on Cyber physical system (CPS) and the Internet of things (IoT), the smart production system is capable to suit diverse customers’ manufacturing requirements. It has the potential to provide digital configure-to-order (CTO) services in a quick response time. To achieve this potential, a new conceptualization of quick-response product configuration system, which translates the voice of customers to technical specifications, is proposed. It is expected that the proposed system can enhance the communication between the customers and the manufacturers. We adopt the Kano model to receive the voice of customers as inputs and generate a product configuration as outputs which can meet customer’s requirements. A case study and a product configure system for ordering assistance are demonstrated in this work.

Original languageEnglish
Title of host publicationTransdisciplinary Engineering for Complex Socio-technical Systems - Proceedings of the 26th ISTE International Conference on Transdisciplinary Engineering
EditorsKazuo Hiekata, `Brian Moser, Brian Moser, Masato Inoue, Josip Stjepandic, Nel Wognum
PublisherIOS Press BV
Pages63-71
Number of pages9
ISBN (Electronic)9781614994398
DOIs
Publication statusPublished - 7 Oct 2019
Externally publishedYes
Event26th ISTE International Conference on Transdisciplinary Engineering, TE 2019 - Tokyo, Japan
Duration: 30 Jul 20191 Aug 2019

Publication series

NameAdvances in Transdisciplinary Engineering
Volume10

Conference

Conference26th ISTE International Conference on Transdisciplinary Engineering, TE 2019
Country/TerritoryJapan
CityTokyo
Period30/07/191/08/19

Keywords

  • Industry 4.0
  • Kano model
  • Order acquisition and fulfilment
  • Product configuration system

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management

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