Scientific Results

  • ID:
    publications-5228
  • Type:
    Conference paper
  • Year:
    2023
  • Authors:
    Tshabalala P.; Kuriakose R.B.
  • Title:
    Designing an Experimental Setup for Digital Twins in Modern Manufacturingβ€”A Case Study Using a Water Bottling Plant
  • Venue/Journal:
    Lecture Notes in Networks and Systems
  • DOI:
    10.1007/978-981-19-5221-0_58
  • Research type:
  • Water System:
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  • Abstract:
    The manufacturing world has evolved throughout the years and has become more autonomous and complex. Industry 4.0 and digital twins merge the gap between the physical and digital world and provide instant communication between the virtual and the physical product, as digitalization is a great tool to enhance production and exploit new Industry 4.0 opportunities. A digital twin is a model that is continuously updated with live data from the physical system to monitor the current status and predict the future behavior of the physical system. This paper puts forth the experimental setup for digital twins in modern manufacturing with the case study of a water bottling plant. The aim of the paper is to examine if the design of a digital twin can assist in reducing the cycle time between workstations and pre-determine possible bottlenecks that might occur during production. This task is undertaken by first setting an introduction to the challenges faced by the manufacturing industry today and then proposing a design for the digital twin for a water bottling plant. The results of the digital shadow designed for the water bottling plant show that the lack of real-time inputs may have a significant impact on the cycle time. Β© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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