journal article·2022-08-30Open access

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 Milenkovic, Michael Haslgruebler, Markus Brillinger, Konrad Diwold

Applied Sciences· Volume 12· Issue 17

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Manufacturing Process and Optimization · Flexible and Reconfigurable Manufacturing Systems · Digital Transformation in Industry

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Pro2Future GmbH, 4040 Linz, Austria

Funding

Graz University of Technology

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