Implementing AI Collaborative Robots in Manufacturing – Modeling Enterprise Challenges in Industry 5.0 with Fuzzy Logic

• Autorzy: Cioch Michał , Kulisz Monika , Kański Łukasz

Identyfikatory

DOI

10.12913/22998624/192833

• Języki publikacji: EN

Abstrakty

EN

The purpose of this article is to propose a fuzzy logic system as a tool for automated risk identification of potential technical challenges and social barriers during the implementation of artificial intelligence-based co-bots on workstations in manufacturing enterprises. On the basis of an extensive literature review, as well as industry reports and expert consultations, the basic challenges and enterprise barriers occurring during the implementation of changes in enterprises, especially during the implementation of the latest technologies, were selected. A fuzzy logic model was then developed that, based on the values of the input factors, generates an answer as to whether there is a risk of technical or social challenges in an enterprise when implementing the latest technologies. The results generated by the developed model, when confronted with expert knowledge, experience and subjective assessments, showed that the model works as expected. The results of the study suggest that the use of fuzzy logic can effectively support companies in detecting challenges and obstacles, thereby facilitating decision-making in reducing the risk of their occurrence. Adaptation to the conditions currently prevailing in the company allows for dynamic adjustment of co-bot deployment strategies, which in turn can lead to more effective management of technological changes and minimization of potential operational disruptions.

Słowa kluczowe

EN

cobot; AI; fuzzy logic; model; enterprise

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2024
• Tom: Vol. 18, no. 7
• Strony: 229--238
• Opis fizyczny: Bibliogr. 39 poz., fig., tab.

Twórcy

autor

Cioch Michał

• Department of Enterprise Organization, Faculty of Management, Lublin University of Technology, Nadbystrzycka 38d, 20-618 Lublin, Poland

autor

Kulisz Monika

• Department of Enterprise Organization, Faculty of Management, Lublin University of Technology, Nadbystrzycka 38d, 20-618 Lublin, Poland

autor

Kański Łukasz

• Faculty of Economics, Poland, Maria Curie-Skłodowska University, ul. Marii Curie-Skłodowskiej 5, 20-031 Lublin, Poland

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