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A change management framework: Managing the error variations in multi-stage machining processes

  • Xi'an Jiaotong University

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

2 Scopus citations

Abstract

There are always changes in multistage machining processes (MMPs), which enable machining quality of process to fluctuate. At the same time, these changes contain some valuable information of MMPs, and they can be used to explore the characteristics of MMPs. In this paper, the concept of change management in the engineering change is introduced into MMPs to manage the error variation. A change management framework is established according to PDCA (Plan-Do-Check-Act) cycle. Under this framework, time-space characteristics of machining quality change are analyzed, and then a hierarchical control and management system with the aid of e-QC controller is presented. According to machining form feature of part, correlated relationship among different stages is firstly defined, and then quality control chain of MMPs is generated through mapping relationship between quality characteristics and process activities. Once some abnormal change occurs in MMPs, e-QC controller is used to manage these changes. At last, an example is used to verify the proposed methodology.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3660-3663
Number of pages4
ISBN (Print)9781424421145
DOIs
StatePublished - 2008
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Closed- loop quality
  • Machining error variation
  • Management model
  • Multistage machining processes

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