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Current Status of Function Blocks for Process Planning and Execution Control of Manufacturing Equipment
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
De Montfort University.
2011 (English)In: Proceedings of the 21st International Conference on Flexible Automation and Intelligent Manufacturing, Feng Chia University , 2011, 963-973 p.Conference paper, (Refereed)
Abstract [en]

Manufacturing in a job-shop environment is often characterized by a large variety of products in small batch size, requiring real-time monitoring for dynamic distributed decision making, as well as dynamic control capabilities that are able to handle, in a responsive and adaptive way, different kinds of uncertainty, such as changes in demand and variations in production capability and functionality. In many manufacturing systems, traditional methods, based on offline processing performed in advance, are used. These methods are not up to the standard of handling uncertainty, in the dynamically changing environment of these manufacturing systems. Using real-time manufacturing intelligence and information to perform at a maximum level, with a minimum of unscheduled downtime, would be a more effective approach to handling the negative performance impacts of uncertainty. The objective of our research is to develop methodologies for distributed, adaptive and dynamic process planning as well a machine monitoring and control for machining and assembly operations, using event-driven function blocks. The implementation of this technology is expected to increase productivity, as well as flexibility and responsiveness in a job-shop environment. This paper, in particular, presents the current status in this field and a comprehensive overview of our research work on function block-enabled process planning and execution control of manufacturing equipment.

Place, publisher, year, edition, pages
Feng Chia University , 2011. 963-973 p.
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5782ISBN: 978-1-61284-343-8 OAI: oai:DiVA.org:his-5782DiVA: diva2:523782
Available from: 2012-04-26 Created: 2012-04-26 Last updated: 2013-08-26

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CiteExportLink to record
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Citation style
  • apa
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