Predictive Maintenance for Chiller Equipment Sustainability: A Bibliometric Approach

Abstract

This study investigates the intersection of chiller sustainability and predictive maintenance within the framework of operations management using a bibliometric analysis approach. The purpose of this research is to identify dominant themes, research gaps, and scholarly patterns to support future theoretical development and practical applications. Data were extracted from the Scopus database using a comprehensive query encompassing keywords such as “sustainability,” “operational cost,” “maintenance cost,” and “IoT.” After applying relevant filters, a curated set of 1,095 peer-reviewed journal articles was analysed using established bibliometric techniques, including Bradford’s Law, word cloud generation, country-wise scientific productivity, co-occurrence, bibliographic coupling, and thematic mapping. The results highlight key themes such as sustainability, circular economy, stakeholder engagement, innovation, and digital transformation. Leading journals and countries, including Italy, the UK, and India, emerged as major contributors to this field. Thematic mapping identified “sustainability” and “environmental economics” as motor themes, while “innovation” and “decision-making” remained underdeveloped areas with high future potential. The findings support evidence-based decision-making in the adoption of smart technologies such as IoT sensors and AI diagnostics, aiding regulatory compliance and enhancing energy efficiency. From a theoretical standpoint, the study identifies opportunities to expand frameworks in operations management by incorporating environmental and digital considerations. This bibliometric review informs industry professionals, policymakers, and researchers of evolving trends and strategic gaps. It also promotes collaborative opportunities between academia and industry to enhance innovation in sustainable operations, particularly within energy-intensive facilities.