A key feature-based method for the configuration design of a reconfigurable inspection system

Xinwen Shang, Jelena Milisavljevic-Syed, Sihan Huang, Guoxin Wang, Janet K. Allen and Farrokh Mistree

International Journal of Production Research, 2021, vol. 59, issue 9, 2611-2623

Abstract: A reconfigurable manufacturing system (RMS) can provide a customised manufacturing process to complete changes in operational requirements or machine status. The effective development of an RMS is supported by dynamic reconfiguration management that detects errors in the process and explores the reconfiguration strategy. However, existing studies on reconfiguration focus on production while ignoring inspection. In the RMS, a reconfigurable inspection system (RIS) is developed for data-oriented detection of product quality with the minimally sufficient number of inspection machines. We propose a key feature-based method for designing the RIS’s configuration to achieve a satisfactory RIS design, which detects different processes and satisfies the inspection requirement for each phase of the RMS’s lifecycle. The key features of the RIS (i.e. modularity, integrability, customisation, scalability, convertibility and diagnosability) are identified based on the RMS’s detection mechanism. An example of the RMS for a spindle box is presented to validate the method.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2020.1735664 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:59:y:2021:i:9:p:2611-2623

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2020.1735664

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().