FUTURE FIELD SERVICE BUSINESS OPERATIONS ENHANCEMENT USING AI AND ROBOTS

This article explores the transformative impact of artificial intelligence (AI) and robotics on the field service management (FSM) industry. It examines how these technologies are reshaping business processes and operations in field service, focusing on key areas such as predictive maintenance, robotic automation, workforce management, and customer interaction. The paper discusses AI-driven predictive maintenance using IoT sensors and machine learning algorithms, the role of robots in inspections and repairs, AI-enhanced workforce management for optimized scheduling and skill matching, and improved customer support through AI-powered systems. Additionally, it addresses the challenges of technical complexity, workforce adaptation, and data security, alongside opportunities for increased efficiency, improved accuracy, and enhanced customer satisfaction. Case studies of Siemens and Boston Dynamics illustrate real-world applications of these technologies in FSM. The article concludes by emphasizing the crucial role of AI and robotics in shaping the future of field service management, highlighting the need for organizations to navigate implementation challenges effectively to lead in this evolving industry landscape.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-17
DOI
https://doi.org/10.5281/zenodo.13944129
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

FUTURE FIELD SERVICE BUSINESS OPERATIONS ENHANCEMENT USING AI AND ROBOTS

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

FUTURE FIELD SERVICE BUSINESS OPERATIONS ENHANCEMENT USING AI AND ROBOTS

article en

Abstract

This article explores the transformative impact of artificial intelligence (AI) and robotics on the field service management (FSM) industry. It examines how these technologies are reshaping business processes and operations in field service, focusing on key areas such as predictive maintenance, robotic automation, workforce management, and customer interaction. The paper discusses AI-driven predictive maintenance using IoT sensors and machine learning algorithms, the role of robots in inspections and repairs, AI-enhanced workforce management for optimized scheduling and skill matching, and improved customer support through AI-powered systems. Additionally, it addresses the challenges of technical complexity, workforce adaptation, and data security, alongside opportunities for increased efficiency, improved accuracy, and enhanced customer satisfaction. Case studies of Siemens and Boston Dynamics illustrate real-world applications of these technologies in FSM. The article concludes by emphasizing the crucial role of AI and robotics in shaping the future of field service management, highlighting the need for organizations to navigate implementation challenges effectively to lead in this evolving industry landscape.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Impact of AI and Big Data on Business and Society
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