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On the measurement of agility in manufacturing systems

Tsourveloudis Nikolaos, K. P. Valavanis, D. Gracanin, M. Matijasevic

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URI: http://purl.tuc.gr/dl/dias/CD03DE6B-8039-4882-8A29-EDA983C07E17
Year 1999
Type of Item Conference Full Paper
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Bibliographic Citation N. C. Tsourveloudis , K. P. Valavanis, D. Gracanin, M. Matijasevic.(1999).On the measurement of agility in manufacturing systems', Presented at 2nd European Symposium on Intelligent Techniques .[online].Available:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.1215&rep=rep1&type=pdf
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Summary

Agility metrics are difficult to define, mainly due to the multidimensionality and vagueness of the concept of agility. In this paper, a fuzzy logic knowledge-based framework is presented for the assessment of manufacturing agility. The combined measure incorporates certain operational parameters, their variations, and their effect on the value of agility. The necessary expertise used to quantitatively determine and measure agility is represented via fuzzy logic terminology, which allows for human-like knowledge representation and reasoning. Emerging standards for distributed simulation and virtual reality are utilised to implement a distributed simulation testbed. The testbed is used to simulate, measure, and evaluate agility and its parameters. The simulation testbed integrates the modeling of agility infrastructures, simulation of an enterprise through its infrastructures, real-life data, and a virtual reality based interface. High Level Architecture (HLA) and Virtual Reality Modeling Language (VRML) are standards selected for the implementation of the testbed.

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