Towards Flexible and Cognitive Production—Addressing the Production Challenges

Muaaz Abdul Hadi*, Daniel Kraus, Amer Kajmakovic, Josef Suschnigg, Ouijdane Guiza, Milot Gashi, Georgios Sopidis, Matej Vukovic, Katarina Milenković, Michael Haslgruebler, Markus Brillinger, Konrad Diwold*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Globalization in the field of industry is fostering the need for cognitive production systems. To implement modern concepts that enable tools and systems for such a cognitive production system, several challenges on the shop floor level must first be resolved. This paper discusses the implementation of selected cognitive technologies on a real industrial case-study of a construction machine manufacturer. The partner company works on the concept of mass customization but utilizes manual labour for the high-variety assembly stations or lines. Sensing and guidance devices are used to provide information to the worker and also retrieve and monitor the working, with respecting data privacy policies. Next, a specified process of data contextualization, visual analytics, and causal discovery is used to extract useful information from the retrieved data via sensors. Communications and safety systems are explained further to complete the loop of implementation of cognitive entities on a manual assembly line. This deepened involvement of cognitive technologies are human-centered, rather than automated systems. The explained cognitive technologies enhance human interaction with the processes and ease the production methods. These concepts form a quintessential vision for an effective assembly line. This paper revolutionizes the existing industry 4.0 with an even-intensified human–machine interaction and moving towards cognitivity.
Original languageEnglish
Article number8696
Number of pages24
JournalApplied Sciences
Issue number17
Publication statusPublished - Sept 2022


  • smart production
  • industry 4.0
  • assembly systems
  • Cognitive production
  • Adaptive Assembly
  • human–machine interaction
  • cognitive production
  • adaptive assembly

ASJC Scopus subject areas

  • Engineering(all)
  • Instrumentation
  • Materials Science(all)
  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Computer Science Applications

Fields of Expertise

  • Mobility & Production


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