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

Author:

Țîțu Aurel Mihail1ORCID,Gusan Vasile2ORCID,Dragomir Mihai3ORCID,Pop Alina Bianca4ORCID,Țîțu Ștefan56ORCID

Affiliation:

1. Industrial Engineering and Management Department, ”Lucian Blaga” University of Sibiu, 550024 Sibiu, Romania

2. Faculty of Industrial Engineering and Robotics, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania

3. Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania

4. Department of Engineering and Technology Management, Faculty of Engineering, Technical University of Cluj-Napoca, Northern University Centre of Baia Mare, 430083 Baia Mare, Romania

5. The Oncology Institute “Prof dr Ion Chiricuță” Cluj Napoca, 400015 Cluj-Napoca, Romania

6. Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj Napoca, 400000 Cluj-Napoca, Romania

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.

Publisher

MDPI AG

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