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AR-AI Tools as a Response to High Employee Turnover and Shortages in Manufacturing during Regular, Pandemic, and War Times

Author

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  • Andrzej Szajna

    (DTP Ltd., 66-002 Zielona Gora, Poland)

  • Mariusz Kostrzewski

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

Abstract

The world faces the continuously increasing issue of a lack of skilled employees, staff migration, and turnover. It is strengthened by unexpected situations such as wars, pandemics, and other civilization crises. Solutions are sought and researched in various branches of industry and academia, including engineering, social sciences, management, and political and computer sciences. From the viewpoint of this paper, this is a side topic of Industry 4.0 and, more specifically, sustainability in working environments, and the issue is related to production employees who perform manual operations. Some of the tasks cannot be carried out under robotization or automation; therefore, novel human-work support tools are expected. This paper presents such highly demanded support tools related to augmented reality (AR) and artificial intelligence (AI). First, a panoramic literature review is given. Secondly, the authors explain the main objective of the presented contribution. Then the authors’ achievements are described—the R&D focus on such solutions and the introduction of the developed tools that are based on AR and AI. Benefits connected to the AR-AI technology applications are presented in terms of both time savings with the tool usage and job simplification, enabling inexperienced, unskilled, or less skilled employees to perform the work in the selected manual production processes.

Suggested Citation

  • Andrzej Szajna & Mariusz Kostrzewski, 2022. "AR-AI Tools as a Response to High Employee Turnover and Shortages in Manufacturing during Regular, Pandemic, and War Times," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6729-:d:828831
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    References listed on IDEAS

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    6. Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
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    Cited by:

    1. Chi Gong & Xianghui Yang & Hongru Tan & Xiaoye Lu, 2023. "Industrial Robots, Economic Growth, and Sustainable Development in an Aging Society," Sustainability, MDPI, vol. 15(5), pages 1-12, March.
    2. Laurent Joblot & Magnani Florian & Frédéric Rosin & Robert Pellerin & Mario Passalacqua, 2023. "Protocole expérimental visant l'étude de l’IA centrée sur l'humain dans le contexte de l'Industrie 5.0 : Application en réalité augmentée," Post-Print hal-04142374, HAL.

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