Gill, S;
Cormican, K;
(2008)
Innovation in the 21st century SME manufacturing environments.
In:
Proceedings of the 25th International Manufacturing Conference 2008.
: Dublin, Ireland.
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Abstract
The environment in which we inhabit is shaped by technology and how as users we use it. This can be seen in the manufacturing SME environment. Manufacturing SMEs are dynamic and flexible but as the business environment is changing at a greater rate than ever before they have to adapt to changes more quickly and efficiently. The ability to adapt to change needs to be reflected in the organisations information management system. The information flows have to be dynamic and flexible to allow for change to occur more efficiently in the organisation not only at management level but throughout the organisation, for the shop floor operator to the managing director. Ambient intelligence (AmI) can assist in the development of more dynamic information flows in the organisation. AmI is a user centred technology concept. In involves including the user, process and environment in the system in a more dynamic way by integrating the various elements to interact together to create an environment that caters to need and requirements of user technologically. This can be achieved by developing an AmI system that can adapt to the different needs and requirements of the users of the system for information related to there specific requirements at any given time. The paper examines the concept of AmI within manufacturing SME. An AmI SME process typology is presented and applied to the manufacturing case study. The solution and implementation are examined through the typology. The business benefits of the system are highlighted.
Type: | Proceedings paper |
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Title: | Innovation in the 21st century SME manufacturing environments |
Event: | 25th International Manufacturing Conference 2008 |
Location: | Dublin, Ireland |
Dates: | 03 September 2008 - 05 September 2008 |
Open access status: | An open access version is available from UCL Discovery |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | manufacturing, ambient intelligence, AmI, information flow |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10066138 |
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