Sustainable Automation for Future-Ready Industries: Advancing Sustainability Goals Through Economic Value Creation

Authors:

Baskaran T¹, Barla Venkateswarlu², Prashant Kolwalkar³

¹Research Scholar, Department of Chemical Engineering, Annamalai University, Annamalai Nagar

²Professor of Industry, School of Management Studies, Chaitanya Bharathi Institute of Technology, Hyderabad

³Professor of Practice, QHSE Business School, Mumbai

Abstract – Sustainable automation refers to the integration of advanced automation technologies with environmentally and socially responsible practices to achieve long-term sustainability goals while generating economic added value. The rapid advancement of artificial intelligence (AI), robotics, Industrial Internet of Things (IIoT), and digital manufacturing systems has transformed industrial operations by improving efficiency, reducing waste, and enhancing resource utilization. At the same time, organizations are increasingly expected to align their operations with global sustainability frameworks such as the United Nations Sustainable Development Goals (SDGs). This study investigates the multidimensional role of sustainable automation in balancing environmental stewardship, economic growth, and social responsibility.

The manuscript employs a qualitative and quantitative review-based methodology, integrating thematic literature analysis, longitudinal industrial trends, and selected case studies from manufacturing, agriculture, recycling, and aerospace sectors. The findings reveal that sustainable automation significantly contributes to energy efficiency, waste minimization, productivity enhancement, and lifecycle sustainability. Organizations adopting sustainable automation practices experience substantial economic benefits through cost reduction, optimized resource utilization, improved operational resilience, and enhanced regulatory compliance.

However, challenges such as technological complexity, workforce skill gaps, regulatory constraints, and social inequalities associated with automation remain critical concerns. The study highlights the importance of adaptive governance frameworks, intelligent process design, workforce reskilling, and ESG-driven strategies in achieving inclusive and sustainable industrial transformation. The research concludes that sustainable automation represents a transformative pathway toward achieving future sustainability goals while creating enduring economic and societal value.

Keywords: Sustainable automation, Artificial intelligence (AI), Internet of Things (IoT), ESG, Sustainable Development Goals (SDGs), Intelligent automation.