Industry 4.0 and Sustainability: Towards Vision and Ideas

The integration and upgrade of Industry 4.0 technologies, such as IoT sensors and data analytics, artificial intelligence, and machine learning, have revolutionized the way resources are utilized and optimized with the help of artificial intelligence and machine learning, data can be adaptive, predictive, and generative. By exploiting real-time monitoring and data- driven insights, organizations can significantly reduce waste and enhance resource efficiency, aligning with sustainability goals and minimizing environmental impact. The deployment of IoT sensors enables the collection of real-time data on resource usage, allowing for prompt identification of areas where waste can be minimized, and efficiency can be improved. The application of Artificial Intelligence (AI) in waste management and water conservation has indeed revolutionized the way we approach these critical environmental challenges. By using AI-powered technologies, we can optimize waste recycling processes, reduce waste generation, and promote more efficient use of water resources. A comprehensive review of the literature reveals that Industry 4.0 technologies. This work aims to contribute adding a new sight of research by finding a comprehensive review of the relationship between Industry 4.0 and sustainability. By examining the present state of research in this area, identifying gaps and limitations, and proposing future research directions and unanswered questions, this work seeks to advance our understanding of the complex relationship between Industry 4.0 technologies and sustainability. Ultimately, this research aims to inform the development of strategies and policies that can harness the potential of Industry 4.0 technologies to drive. That's a concise summary of the concept of Sustainable Development (SD). Here's a polished version: Sustainable Development: A Triple Bottom Line Approach Sustainable Development (SD) is a forward- looking paradigm emphasizing positive transformation through social, economic, and environmental factors. According to Taylor (2016), SD rests on three foundational pillars:  Economic Sustainability- Ensuring long-term economic growth and stability  Social Sustainability- Promoting social equality, justice, and human well-being  Environmental Sustainability- Protecting and preserving natural resources for future generations These interconnected pillars form the basis of SD, recognizing that economic development, social progress, and environmental stewardship are interdependent and essential for a sustainable future.

Authors

Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-11-23
DOI
https://doi.org/10.38124/ijisrt/ijisrt24oct1894
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

Industry 4.0 and Sustainability: Towards Vision and Ideas

Nandini Prajapati
International Journal of Innovative Science and Research Technology (IJISRT)
Digital Transformation in Industry
article

Industry 4.0 and Sustainability: Towards Vision and Ideas

Nandini Prajapati
article en

Abstract

The integration and upgrade of Industry 4.0 technologies, such as IoT sensors and data analytics, artificial intelligence, and machine learning, have revolutionized the way resources are utilized and optimized with the help of artificial intelligence and machine learning, data can be adaptive, predictive, and generative. By exploiting real-time monitoring and data- driven insights, organizations can significantly reduce waste and enhance resource efficiency, aligning with sustainability goals and minimizing environmental impact. The deployment of IoT sensors enables the collection of real-time data on resource usage, allowing for prompt identification of areas where waste can be minimized, and efficiency can be improved. The application of Artificial Intelligence (AI) in waste management and water conservation has indeed revolutionized the way we approach these critical environmental challenges. By using AI-powered technologies, we can optimize waste recycling processes, reduce waste generation, and promote more efficient use of water resources. A comprehensive review of the literature reveals that Industry 4.0 technologies. This work aims to contribute adding a new sight of research by finding a comprehensive review of the relationship between Industry 4.0 and sustainability. By examining the present state of research in this area, identifying gaps and limitations, and proposing future research directions and unanswered questions, this work seeks to advance our understanding of the complex relationship between Industry 4.0 technologies and sustainability. Ultimately, this research aims to inform the development of strategies and policies that can harness the potential of Industry 4.0 technologies to drive. That's a concise summary of the concept of Sustainable Development (SD). Here's a polished version: Sustainable Development: A Triple Bottom Line Approach Sustainable Development (SD) is a forward- looking paradigm emphasizing positive transformation through social, economic, and environmental factors. According to Taylor (2016), SD rests on three foundational pillars:  Economic Sustainability- Ensuring long-term economic growth and stability  Social Sustainability- Promoting social equality, justice, and human well-being  Environmental Sustainability- Protecting and preserving natural resources for future generations These interconnected pillars form the basis of SD, recognizing that economic development, social progress, and environmental stewardship are interdependent and essential for a sustainable future.

International Journal of Innovative Science and Research Technology (IJISRT)
Openalex Percentile: Top 70%
Digital Transformation in Industry
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