Change search
CiteExportLink to record
Permanent link

Direct link
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
A SEMANTIC REPRESENTATION FOR PROCESS-ORIENTED KNOWLEDGE MANAGEMENT BASED ON FUNCTIONBLOCK DOMAIN MODELS SUPPORTING DISTRIBUTED AND COLLABORATIVE PRODUCTION PLANNING
Show others and affiliations
2015 (English)In: PROCEEDINGS OF THE ASME 10TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2015, VOL 2, AMER SOC MECHANICAL ENGINEERS , 2015Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Semantic knowledge representation, management, sharing, access, and re-use approaches can support collaborative production planning in a flexible and efficient as well as an effective way. Therefore, semantic-technology based representations of Collaborative Production Process Planning (CAPP) knowledge integrated into a machine readable process formalization is a key enabling factor for sharing such knowledge in cloud-based semantic-enabled knowledge repositories supporting CAPP scenarios as required in the CAPP4SMES project [1]. Beyond that, Small and Medium Enterprises (SMEs) as represented in CAPP4SMES request for a standardized CAPP-oriented product-knowledge- and production-feature representation that can be achieved by applying function-block based knowledge representation models. Semantic Web- and at the same time Cloud-based technologies, tool suites and application solutions which are based on process-oriented semantic knowledge representation methodologies such as Process-oriented Knowledge-based Innovation Management (German: Wissens-basiertes Prozesess-orientiertes Innovationsmanagement, WPIM) [2] can satisfy these needs, supporting the semantic integration, management, access and re-use in a machine readable and integrated representation of distributed CAPP knowledge that is shared within a cloud-based centralized semantic-enabled knowledge repository. Furthermore semantic knowledge representation and querying add value to knowledge-based and computer-aided re-use of such knowledge within CAPP activities and, finally, pave the way towards further automating planning, simulation and optimization support in a semantic web for CAPP.

Place, publisher, year, edition, pages
AMER SOC MECHANICAL ENGINEERS , 2015.
Keyword [en]
Function Blocks, DPP, CAPP, Process Planning, Process-oriented Knowledge Management, Knowledge-based Process-oriented Innovation Management, WPIM, Semantic Knowledge Representation, Knowledge Repositories, Mediator Architecture, Cloud Manufacturing
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:kth:diva-180183ISI: 000365147200042Scopus ID: 2-s2.0-84945156984OAI: oai:DiVA.org:kth-180183DiVA: diva2:892681
Conference
ASME 2015 International Manufacturing Science and Engineering Conference, MSEC 2015; Charlotte; United States; 8 June 2015 - 12 June 2015
Note

QC 20150111

Available from: 2016-01-11 Created: 2016-01-07 Last updated: 2017-06-02Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Wang, Lihui
By organisation
Production Engineering
Materials Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 27 hits
CiteExportLink to record
Permanent link

Direct link
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