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A review of function blocks for process planning and control of manufacturing equipment
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
Mechatronics Research Centre, De Montfort University, Leicester LE1 9BH, United Kingdom.
2012 (English)In: Journal of manufacturing systems, ISSN 0278-6125, Vol. 31, no 3, 269-279 p.Article, review/survey (Refereed) Published
Abstract [en]

Manufacturing in a job-shop environment is often characterized by a large variety of products in small batch sizes, requiring real-time monitoring for dynamic distributed decision making, and adaptive control capabilities that are able to handle, in a responsive 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 as 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
Elsevier, 2012. Vol. 31, no 3, 269-279 p.
Keyword [en]
Adaptability, Process planning, Function block, CNC machining, Assembly
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6575DOI: 10.1016/j.jmsy.2012.02.004ISI: 000309574900001Scopus ID: 2-s2.0-84865266611OAI: oai:DiVA.org:his-6575DiVA: diva2:563086
Available from: 2012-10-29 Created: 2012-10-29 Last updated: 2013-04-12Bibliographically approved

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Publisher's full textScopushttp://www.sciencedirect.com/science/article/pii/S0278612512000180

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