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A Statistic Review of Computer-Aided Process Planning Research
Department of Mechanical Engineering, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Department of Mechanical Engineering, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, United Kingdom.
2010 (English)In: Proceedings of the ASME 2010 International Manufacturing Science and Engineering Conference: Volume 2, ASME Press, 2010, 513-531 p.Conference paper, (Refereed)
Abstract [en]

Since  the  late  1970’s,  computer-aided  process  planning  (CAPP)  has attracted a large amount of research interest, which has led to a huge volume   of   literature   published   on   this   subject.   The   literature encompasses  both  reviews  and  research  articles.  The  review  articles are mostly technologically oriented. This paper takes a different angle to  look  back  the  CAPP  research,  that  is,  a  statistic  approach.  The paper analyses the journals that have been publishing CAPP research works.    The concept of “Subject Strength” of a journal is introduced and  used  to  gauge  the  level  of  focus  of  a  journal  on  a  particular research  subject/domain,  i.e.  CAPP.  Discussions  about  the  recent CAPP research works are presented in different categories as they fall in. The term “Technology Impact Factor (TIF)” is introduced to assess the  level  of  impact  of  a  particular  technology,  in  terms  of  citation counts.    All  discussions  and  analyses  are  carried  out  based  on  the data   gathered   from   the   Elsevier’s   Scopus   abstract   and   citation database. Finally, a discussion on the future development is presented. The literature suggests that this is the only review article of the similar nature in the first decade of the century.

Place, publisher, year, edition, pages
ASME Press, 2010. 513-531 p.
Keyword [en]
CAPP, machining process, features, planning, operation
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4589ISI: 000291336000064Scopus ID: 2-s2.0-82455174172ISBN: 978-0-7918-4947-7 ISBN: 978-0-7918-3887-7 OAI: oai:DiVA.org:his-4589DiVA: diva2:389512
Conference
ASME 2010 International Manufacturing Science and Engineering Conference, MSEC 2010; Erie, PA; 12 October 2010 through 15 October 2010
Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2013-03-13Bibliographically approved

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Scopushttp://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1621036

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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More styles
Language
  • de-DE
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Output format
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  • asciidoc
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