Cost Calculation and Deployment Strategies for Collaborative Robots in Production Lines: An Innovative and Sustainable Perspective in Knowledge-Based Organizations

Aurel Mihail Țîțu (), Vasile Gusan (), Mihai Dragomir, Alina Bianca Pop and Ștefan Țîțu ()
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Aurel Mihail Țîțu: Industrial Engineering and Management Department, ”Lucian Blaga” University of Sibiu, 550024 Sibiu, Romania
Vasile Gusan: Faculty of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania
Mihai Dragomir: Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
Alina Bianca Pop: Department of Engineering and Technology Management, Faculty of Engineering, Technical University of Cluj-Napoca, Northern University Centre of Baia Mare, 430083 Baia Mare, Romania
Ștefan Țîțu: The Oncology Institute “Prof dr Ion Chiricuță” Cluj Napoca, 400015 Cluj-Napoca, Romania

Sustainability, 2024, vol. 16, issue 13, 1-25

Abstract: This scientific paper explores the increasingly widespread use of collaborative and industrial robots in the industrial environment, highlighting them as a solution to challenges related to the high costs of human labor and associated management difficulties. The authors focus on the process of defining requirements for the implementation of collaborative and industrial robots, providing strategies based on mathematical management models. This approach translates into significant benefits for companies, such as cost reduction, quality improvement, and increased operational efficiency. Additionally, the paper proposes an innovative mathematical model for assessing total costs, budgeting, profitability, and electric power consumption associated with the operation of collaborative and industrial robots. This model allows for a comparison between the costs involved in using human labor and those associated with collaborative and industrial robots, providing critical information for technological investment decisions. The efficiency of this mathematical model is demonstrated through a practical application, where collaborative robots were integrated into a production environment and costs and efficiency were evaluated compared to the use of human labor and industrial robots. This scientific paper provides a systematic and efficient approach to implementing collaborative robots in industrial processes, benefiting from strategies based on mathematical management models and an original mathematical model for evaluating performance and associated costs.

Keywords: collaborative robots; sustainable manufacturing; process; management; quality; manufacturing; automation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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