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Knowledge-based Operation Planning and Machine Control by Function Blocks in Web-DPP
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Sustainable Manufacturing)ORCID iD: 0000-0001-8679-8049
2013 (English)In: Advances in Sustainable and Competitive Manufacturing Systems: 23rd International Conference on Flexible Automation & Intelligent Manufacturing, Springer International Publishing , 2013, 665-679 p.Conference paper, Published paper (Refereed)
Abstract [en]

Today, the dynamic market requires manufacturing firms to possess high degree of adaptability and flexibility to deal with shop-floor uncertainties. Specifically, targeting SMEs active in the machining and metal cutting sector who normally deal with complex and intensive process planning problems, researchers have tried to address the subject. Among proposed solutions, Web-DPP elaborates a two-layer distributed adaptive process planning system based on function-block technology. Function-block enabled machine controllers are one of the elements of this system. In addition, intensive reasoning based on the features data of the products models, machining knowledge, and resource data is needed to be performed inside the function blocks in machine controller side. This paper reports the current state of design and implementation of a knowledge-based operation planning module using a rule-engine embedded in machining feature function blocks, and also the design and implementation of a common interface (for CNC milling machine controller and its specific implementation for a specific commercial controller) embedded in the machining feature function blocks for controlling the machine. The developed prototype is validated through a case-study.

Place, publisher, year, edition, pages
Springer International Publishing , 2013. 665-679 p.
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356 ; Part II
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-139496DOI: 10.1007/978-3-319-00557-7_55Scopus ID: 2-s2.0-84951111588ISBN: 978-3-319-00556-0 (print)OAI: oai:DiVA.org:kth-139496DiVA: diva2:687137
Conference
FAIM 2013 - 23rd International Conference on Flexible Automation & Intelligent Manufacturing; Porto, Portugal, 26-28 June, 2013
Funder
XPRES - Initiative for excellence in production research
Note

QC 20140131

Available from: 2014-01-13 Created: 2014-01-13 Last updated: 2017-03-16Bibliographically approved

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Wang, Lihui

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf