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Representation and exchange of digital catalogues of cutting tools
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.ORCID iD: 0000-0002-8243-9505
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0003-0335-8772
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2014 (English)In: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, 2014, V001T04A027- p.Conference paper, Published paper (Refereed)
Abstract [en]

Information management for manufacturing resources such as cutting tools is an important research topic in the context of cloud manufacturing. Vendors and customers usually use catalogues to communicate information for such manufacturing resource. Incompatibilities of information in syntax, semantics, and structure among supply chains often result in inefficient manual sharing and management of the catalogue information. It is difficult for cloud based applications to pool information from various sources. This communication failure calls for a system neutral solution for data modeling and exchange to enhance interoperability of the cutting tool catalogue information. Previous studies has present solutions for representation of the cutting tool information with STEP AP242 (ISO/DIS 10303-242) with semantic classification referring to a PLib (ISO 13584, Part Library) based dictionary. This approach can be extended for the catalogue modeling, due to functionalities for specification and configuration control of general product variants in the same standard. With a modeling approach with standardized information schemas, system architecture to guide implementation is proposed to enhance the communication in practice. Relative elements to represent vendors' catalogues and customers' requirements are modeled. Associations to the PLib-based dictionary complete semantics and enable information mapping between vendors and customers. Principles of the mapping are identified to facilitate implementation of related software systems. Prototypes are developed to verify the proposed system architecture. The proposed solution is promising to migrate to other types of products than cutting tools, because the data models are based on the general product models defined in AP242.

Place, publisher, year, edition, pages
2014. V001T04A027- p.
Keyword [en]
Digital catalogue, Information modeling, ISO 10303 STEP, ISO 13399, ISO 13584 PLib, ISO 10303
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-167043DOI: 10.1115/MSEC2014-4131ISI: 000361249700066Scopus ID: 2-s2.0-84908884063ISBN: 9780791845806 (print)OAI: oai:DiVA.org:kth-167043DiVA: diva2:813152
Conference
ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, 9 June 2014 through 13 June 2014
Note

QC 20150521

Available from: 2015-05-21 Created: 2015-05-21 Last updated: 2017-05-17Bibliographically approved
In thesis
1. Architecting model driven system integration in production engineering
Open this publication in new window or tab >>Architecting model driven system integration in production engineering
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

System integration is a key enabler to maximize information value in an engineering context. The valuable information is normally represented by information models which play a decisive role in the implementation of system integration. The information models are designed to efficiently and effectively capture, process and communicate information among different functional and business units. However, use of the information models in implementing system integration is challenged by insufficient support from current settings of modeling architectures. This situation calls for new strategies to ease the use of information models.

To address this challenge, this study presents a new twofold solution: Model driven system integration. It includes 1) a modeling architecture to guide the development of information models and 2) an integrated implementation process to guide the use of information models. Thus, this work improves practical applicability of an information model in its entire modeling lifecycle.

The results contribute not only to the performance of modeling practices but also to improved understanding of information modeling in system integration. Implementation contexts and implementation models are introduced to develop an implementation-oriented modeling architecture. Further, the potential of information models as a knowledge base to sup-port implementation practices is identified.

To concretely discuss behaviors and structures of information models, this study adopts ISO 10303 and the related standards as major references of existing information models.

Case studies on model driven system integration validate this research in scenarios concerning kinematic modeling, kinematic error modeling, cutting tools classification and product catalogue modeling. Model driven system integration exhibits high efficiency in implementation, enhanced interoperability and increased value of information models.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 212 p.
Series
TRITA-IIP, ISSN 1650-1888 ; 17-07
Keyword
System architecture, system integration, information model, ISO 10303, application context, implementation context, implementation model.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-207156 (URN)978-91-7729-416-0 (ISBN)
Public defence
2017-06-15, M311, Brinellvägen 68, KTH, Stockholm, 14:00 (English)
Opponent
Supervisors
Projects
MPQP - Model driven process and quality planningFBOP - Feature Based Process PlanningDFBB - Digital factory building blocks
Funder
XPRES - Initiative for excellence in production research
Note

QC 20170519

Available from: 2017-05-19 Created: 2017-05-17 Last updated: 2017-05-19Bibliographically approved

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Hedlind, MikaelLundgren, Magnus

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