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Web-DPP: towards job-shop machining process planning and monitoring
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0001-8679-8049
Department of Mechanical and Materials Engineering, University of Western Ontario, London, Canada.
Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
2011 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 6, no 4, 337-353 p.Article in journal (Refereed) Published
Abstract [en]

Outsourcing, joint ventures and cross-border collaborations have led to job environments geographically distributed. Targeting the distributed environment, the web has been widely used for developing collaborative applications due to its platform, network and operating system transparency and easy-to-use interface. Utilising the existing infrastructure, the objective of this research is to develop an integrated Web-based Distributed Process Planning (Web-DPP) system for job-shop machining operations and execution monitoring. Our approach engages a dispersed working group in a collaborative environment, allowing team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development.

Place, publisher, year, edition, pages
InderScience Publishers, 2011. Vol. 6, no 4, 337-353 p.
Keyword [en]
process planning, machining feature, function block, collaborative system, job-shop machining, shop floor uncertainty
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5831Scopus ID: 2-s2.0-80054893009OAI: oai:DiVA.org:his-5831DiVA: diva2:524712
Available from: 2012-05-03 Created: 2012-05-03 Last updated: 2016-12-29Bibliographically approved

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  • apa
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