Abstract
The continuous evolution in manufacturing processes has attracted substantial interest from both scientific and research community, as well as from industry. Despite the fact that streamline manufacturing relies on automation systems, most production lines within the industrial environment lack a flexible framework that allows for evaluation and optimisation of the manufacturing process. Consequently, the development of a generic simulators able to mimic any given workflow represent a promising approach within the manufacturing industry. Recently the concept of digital twin methodology has been introduced to mimic the real world through a virtual substitute, such as, a simulator. In this paper, a solution capable of representing any industrial work cell and its properties is presented. Here we describe the key stages of such solution which has enough flexibility to be applied to different working scenarios commonly found in industrial environment.
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Acknowledgements
A special word to SARKKIS robotics and INESC-TEC (in particular the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme, and the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project 
) for their commitment in research and development of revolutionary state-of-the-art algorithms and for their contribution regarding software tools and engineering hours availability.
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Tavares, P., Silva, J.A., Costa, P., Veiga, G., Moreira, A.P. (2018). Flexible Work Cell Simulator Using Digital Twin Methodology for Highly Complex Systems in Industry 4.0. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-70833-1_44
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DOI: https://doi.org/10.1007/978-3-319-70833-1_44
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