FMEA Model in Risk Analysis for the Implementation of AGV/AMR Robotic Technologies into the Internal Supply System of Enterprises

Yuriy Bekishev, Zhanna Pisarenko () and Vladislav Arkadiev
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Yuriy Bekishev: Department of Risk Management and Insurance, Faculty of Economics, St. Petersburg State University, 62 Chaikovsky Str., St. Petersburg 191123, Russia
Zhanna Pisarenko: Department of Risk Management and Insurance, Faculty of Economics, St. Petersburg State University, 62 Chaikovsky Str., St. Petersburg 191123, Russia
Vladislav Arkadiev: Department of Risk Management and Insurance, Faculty of Economics, St. Petersburg State University, 62 Chaikovsky Str., St. Petersburg 191123, Russia

Risks, 2023, vol. 11, issue 10, 1-31

Abstract: In the evolving economic landscape, Industry 4.0 emphasizes strategic planning and operational progress for large enterprises. This transformation relies on smart robotization technologies like AGVs (Automated Guided Vehicles) and AMRs (Autonomous Mobile Robots) for reducing transportation time, thereby reducing energy costs per unit of production, increasing energy efficiency, as well as replacing combustible-fuel-powered tools with electric ones. A number of concerns arise with their introduction into the production cycle. This research aims to provide a methodical basis for averting substantial mistakes when executing projects centered around the incorporation of AGVs/AMRs into in-house logistics systems. The FMEA method and empirical analysis were employed to achieve a more accurate risk assessment. APIS and MS Excel softwares were chosen. We investigated the potential hazards related to the incorporation of mobile robotic solutions and identified both external and internal threats. To streamline and improve project efficiency, a risk management algorithm for high-tech projects is presented in the paper. Integrating FMEA into projects implementing robotic technologies can lead to significant enhancements in risk reduction, and therefore cost savings, efficiency, safety, and quality, while fostering a culture of collaboration and problem solving. The research contributes to the literature by introducing an AMR planning and control framework to guide managers in the decision-making process, thereby supporting them to achieve optimal performance. Finally, we propose an agenda for future research within the field of interest.

Keywords: AGV; AMR; FMEA; risk analysis; production automation; automation of intralogistics; risks in project integration (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:11:y:2023:i:10:p:172-:d:1252015

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