Manufacturing System Evolution

Yong Lin, Jing Luo, Petros Ieromonachou, Lin Huang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper aims to investigate the transformation of the manufacturing system with the emerging technologies, namely the 3D printing technology in this research. The research results highlighted an evolution of manufacturing systems, from firm-based, to network-based, and to ecosystem-based. This research verified three elements - functional role, platform, and solution - for the configuration of a manufacturing system in the context of emerging technologies. Two dimensions - platform openness and solution diversity - were identified to classify an ecosystem-based manufacturing system, which then can be categorized into government-driven, market-driven, and individual-driven configurations. Four capabilities of the ecosystem-based manufacturing system in the context of emerging technologies have been identified as collaborative manufacturing flexibility, rapid thriftiness ability, self-customization, and co-evolved design capability.

Original languageEnglish
Title of host publication2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538651780
DOIs
Publication statusPublished - 13 Sep 2018
Event15th International Conference on Service Systems and Service Management, ICSSSM 2018 - Hangzhou, China
Duration: 21 Jul 201822 Jul 2018

Publication series

Name2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018

Conference

Conference15th International Conference on Service Systems and Service Management, ICSSSM 2018
Country/TerritoryChina
CityHangzhou
Period21/07/1822/07/18

Keywords

  • 3D printing
  • business ecosystem
  • manufacturing system

ASJC Scopus subject areas

  • Marketing
  • Strategy and Management
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization

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