EDGE COMPUTING FOR REAL-TIME DECISION-MAKING IN INDUSTRIAL INFORMATION SYSTEMS

Abstract

Edge computing has emerged as a transformative technology for enhancing real-time decision-making in industrial information systems. By bringing computational resources closer to data sources, edge computing significantly reduces latency, increases efficiency, and supports autonomous decision-making processes. This paper explores the role of edge computing in industrial environments, focusing on its applications, benefits, and challenges. The integration of edge computing with Industrial Internet of Things (IIoT) devices is investigated, highlighting how real-time data processing enhances operational performance. Key industries, including manufacturing, logistics, and healthcare, are examined to showcase the practical implications of edge computing for decision support systems. Through the analysis of various case studies and existing literature, the paper provides an overview of current trends and outlines the future potential of edge computing in industrial applications.