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Resource Availability and Capability Monitoring

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Advanced Human-Robot Collaboration in Manufacturing

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Abstract

In a manufacturing system, resources refer to all required items for a production order to be successfully fulfilled. Their effective management can be directly associated with the production supervision and control, affecting the responsiveness, flexibility and thus effectiveness of the entire manufacturing system. As production systems are increasingly incorporating a variety of heterogeneous resources, such as robots operating in the same space with human operators, conventional approaches of production supervision and control are becoming less effective, with an emerging need for smarter approaches and techniques. In particular, production planning, including the allocation of production activities to resources, primarily based on their availability and capabilities, cannot demonstrate increased flexibility and adaptability to changing working conditions, with an impact to the overall system. Nevertheless, the advances in the field of information and communication technologies hold the promise of enabling increased data collection which in turn can create insight over the production operations. Such insight can enable the creation of smart and self-adaptable applications on the shop floor enabling a smart manufacturing system in which humans may operate smoothly with automation systems. In this context, and with focus on a human–robot collaborative manufacturing paradigm, this chapter deals with the effective monitoring of shop floor operating resources via data acquired from their production environment and towards effectively monitoring their availability. This is achieved by means of contextual information generation from raw data which in turn facilitates seamless human–robot collaboration. The concept of a context-aware monitoring system is presented along with a prototype software implementation. Context drives the use of smart services both for monitoring and supervision purposes, as well as for enabling smart control and production planning. Finally, a use case is presented to demonstrate the proposed approach along with the implemented prototype, concluding with future research directions as well as identified challenges towards smart monitoring for hybrid and flexible production systems.

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Authors and Affiliations

  1. Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece

    Nikolaos Nikolakis, Kosmas Alexopoulos & Konstantinos Sipsas

Authors
  1. Nikolaos Nikolakis
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  2. Kosmas Alexopoulos
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  3. Konstantinos Sipsas
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Correspondence to Nikolaos Nikolakis .

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Editors and Affiliations

  1. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

    Lihui Wang

  2. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

    Xi Vincent Wang

  3. Research Laboratory on Engineering and Management Intelligence, SZTAKI Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary

    József Váncza

  4. Research Laboratory on Engineering and Management Intelligence, SZTAKI Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary

    Zsolt Kemény

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Nikolakis, N., Alexopoulos, K., Sipsas, K. (2021). Resource Availability and Capability Monitoring. In: Wang, L., Wang, X.V., Váncza, J., Kemény, Z. (eds) Advanced Human-Robot Collaboration in Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-69178-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-69178-3_7

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