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The trend toward mass customization of products requires a high degree of flexibility in their production. Traditional and well-established production concepts such as full automation are limited for these products due to their high acquisition costs. Hence, there is a need for a cost-effective, flexible automation in production. However, there is currently a lack of methodology for determining the appropriate level of automation in flexible low quantity productions. This paper addresses this gap by presenting a generalized model for estimating the optimal Degree of Automation, which is evaluated through a case study focusing on the assembly of aerospace modules. In the presented case study two different modules have to be assembled within 5 tasks. The derived model proposed an optimal Degree of Automation of 21%, which were evaluated based on a designed demonstrator.

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Achieving Economic Sustainability via Low-Cost Automation Techniques: A Novel Study

  • 会议论文

  • 发表日期：

    2025年

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  • Markus Brillinger,
  • Florian Lackner,
  • Muaaz Abdul Hadi,
  • Konrad Diwold,
  • Amer Kajmakovic,
  • Samuel Manfredi,
  • Maximilian Orgler,
  • Markus Jäger,
  • Granit Gashi,
  • Stefan Trabesinger,
  • Ouijdane Guiza,
  • Rudolf Pichler,
  • Daniel Strametz,
  • Martin Bloder,
  • Michael Pichler,
  • Franz Haas,
  • Marcus Neunhäuserer,
  • Stefan Mehr,
  • Martin Weinzerl,
  • Viktorijo Malisa,
  • Martin Brunner,
  • Marcel Wuwer,
  • Jozef Husár,
  • Rebeka Tauberová,
  • Zsolt Tiba,
  • Sándor Bodzás,
  • Petra Teskera,
  • Marko Periša,
  • Ivan Cvitić,
  • Dragan Peraković

摘要

The trend toward mass customization of products requires a high degree of flexibility in their production. Traditional and well-established production concepts such as full automation are limited for these products due to their high acquisition costs. Hence, there is a need for a cost-effective, flexible automation in production. However, there is currently a lack of methodology for determining the appropriate level of automation in flexible low quantity productions. This paper addresses this gap by presenting a generalized model for estimating the optimal Degree of Automation, which is evaluated through a case study focusing on the assembly of aerospace modules. In the presented case study two different modules have to be assembled within 5 tasks. The derived model proposed an optimal Degree of Automation of 21%, which were evaluated based on a designed demonstrator.