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Economic, Environmental, and Social Benefits of Sustainable Automation With Energy Optimization
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Author(s): Aarti Arora (United Institute of Management, Prayagraj, India), Sandeep Kanaujia (United Institute of Management, Prayagraj, India), Shalini Garg (MIT Art, Design, and Technology University, India)and Anand Shukla (Wollega University, Nekemte, Ethiopia)
Copyright: 2026
Pages: 24
Source title:
Optimizing Automation in Engineering With Energy Systems and Communication Networks
Source Author(s)/Editor(s): Vipin Balyan (Cape Peninsula University of Technology, South Africa), Tarun Varshney (Sharda University, India), Sandeep Gupta (Graphic Era University, India)and Gunjan Gupta (Cape Peninsula University of Technology, South Africa)
DOI: 10.4018/979-8-3373-2737-2.ch011
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Abstract
Sustainable automation incorporates emerging techniques such as AI, robotics or Internet of Things (IoT) into industrial and societal systems and at the same time address environmental sustainability. Automation also contributes to global sustainability objectives such as improved productivity, lowering of carbon emissions and the promotion of a circular economy. AI powered systems promote energy efficiency, waste management, and resource conservation which lead to economic flexibility. Moreover, automation promotes social equity by boosting workplace safety, wider access to healthcare, and greater inclusivity in employment. Thus, high initial costs, ethical issues and workforce displacement must be clearly addressed and investment in new meaningful government and education policy landscape must be in place. Overcoming these obstacles is key for fair uptake and the durability of the system. Looking at the case studies, measurable impacts and forward path, the research highlights how automation can be a foundational element for a resilient, inclusive future.
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