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Planning towards enhanced adaptability in digital manufacturing
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
2011 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 24, no 5, p. 378-390Article in journal (Refereed) Published
Abstract [en]

This paper presents an integrated approach for developing a web-based system with enhanced adaptability, including distributed process planning, real-time monitoring and remote machining. The objective is to develop a new methodology and relevant processing algorithms for enhancing adaptability in digital manufacturing. This approach is enabled by a Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor) framework targeting distributed yet collaborative manufacturing environments. Utilising the latest Java technologies (Java 3D and Java Servlet) for system implementation, it allows end-users to plan and control distant manufacturing operations based on runtime information from shop floors. Details on the principle of the Wise-ShopFloor framework, system architecture, and a prototype system are reported in this paper. An example of distributed process planning for remote machining is chosen as a case study to demonstrate the effectiveness of this approach toward web-based digital manufacturing.

Place, publisher, year, edition, pages
Taylor & Francis, 2011. Vol. 24, no 5, p. 378-390
Keywords [en]
process planning, web-based monitoring, remote machining, digital manufacturing
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5588DOI: 10.1080/0951192X.2010.506657ISI: 000289716100002Scopus ID: 2-s2.0-79957444441OAI: oai:DiVA.org:his-5588DiVA, id: diva2:506998
Available from: 2012-03-01 Created: 2012-03-01 Last updated: 2019-12-20Bibliographically approved

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Wang, Lihui

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  • en-US
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  • Other locale
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