Materials Science

Data-Driven Innovations for Sustainable Packaging Analytics for a Greener Future
Editors: Dr. Pijush Dutta
Dr. Anubrata Mondal
Prof. Mahuya Das
Dr. Mete Yaganoglu

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Data-Driven Innovations for Sustainable Packaging Analytics for a Greener Future

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Short description

The book, Data-Driven Innovations for Sustainable Packaging: Analytics for a Greener Future, will explore the application of advanced data analytics and emerging technologies in creating sustainable packaging solutions. It will highlight the role of tools such as artificial intelligence, machine learning, and the Internet of Things (IoT) in improving packaging systems’ efficiency, sustainability, and environmental impact.

This book will explore and promote the role of advanced analytics and emerging technologies in developing sustainable packaging solutions. This includes facilitation of green innovation by encouraging the adoption of data-driven techniques to design eco-friendly packaging that reduces waste and environmental harm, enhancement of packaging efficiency by using technologies like IoT, artificial intelligence, and machine learning to optimize resource utilization and improve packaging processes, support towards sustainability goals by aligning packaging innovations with global efforts to reduce carbon footprints and achieve sustainability targets, and inspiration for collaboration between academia, industry, and policymakers to foster collective advancements in sustainable packaging systems. By focusing on these goals, the book will serve as a resource for integrating analytics into environmental and industrial strategies for a greener future.

The book will serve as a valuable resource for professionals, researchers, and policymakers aiming to innovate in sustainable packaging and reduce environmental impact through data-centric approaches. The key features of this book include optimization of packaging processes by leveraging data-driven methodologies to enhance packaging efficiency and reduction of waste in various sectors, such as cold chain logistics for agricultural products, sustainable goals addressing environmental challenges through innovative packaging designs that align with global sustainability targets like reducing carbon footprints and enhancing recyclability, and technological integration using predictive modeling, real-time monitoring, and big data analysis to make informed decisions for greener packaging system.

Coverage:

We request potential authors to consider submitting their scholarly findings to enrich the content of this intended volume. The book will cover the following topics, but not limited to:

1. Importance of sustainability in packaging.
2. Role of data-driven approaches in addressing environmental challenges.
3. Overview of how analytics supports decision-making for greener packaging.
4. Challenges in adopting sustainable materials and practices.
5. Tools and technologies for data collection: IoT, sensors, and machine learning.
6. Importance of comprehensive datasets for informed decision-making
7. Using data to evaluate carbon footprints, water usage, and recyclability.
8. Case studies of LCA-driven packaging improvements.
9. Role of AI and machine learning in selecting sustainable materials.
10. Innovations in lightweight, biodegradable, and recyclable materials.
11. Predictive analytics for durability and performance testing.
12. Real-time monitoring of packaging efficiency using analytics tools.
13. Using data to understand consumer preferences for eco-friendly packaging.
14. Personalization and analytics-driven marketing for sustainable products.
15. Tracking recycling and reuse behaviors through data.
16. Emerging technologies in data-driven sustainability.
17. The potential of blockchain for transparency in sustainable packaging.
18. Role of AI in creating next-generation sustainable packaging solutions.

Important Dates:

Initial Proposal / Abstract Submission (400 - 600 words)
Deadline: April 15th, 2025
Notification of Acceptance: April 30th, 2025
Full Chapter (8,000 - 10,000 words) Submission Due: On or before August 31st, 2025

Submission procedure:
Researchers and practitioners are invited to submit a one-page chapter proposal or abstract on or before April 15th, 2025, clearly mentioning the title of the paper and author(s) details. Author(s) will be notified about the status of their proposals by April 30th, 2025. Full chapters (at least 15 pages but not more than 40 pages) are expected to be submitted by August 31st, 2025.
All submitted chapters will be peer-reviewed.

Notes:
There is no publication fee for manuscripts submitted to this book publication. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. This book should have a global focus, we encourage the chapters written by authors from different countries.

Prospective authors are requested to submit their proposals / full-length chapters as an email attachment in a Word file to:
Dr. Pijush Dutta, Editor
Email: pijushdutta009@gmail.com


About the Authors / Editors:
Editors: Dr. Pijush Dutta
Assistant Professor, Department of Computer Science Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India

Dr. Anubrata Mondal
Assistant Professor, Department of Electrical Engineering at Greater Kolkata College of Engineering and Management, Baruipur, West Bengal, India

Prof. Mahuya Das
Professor, Department of Basic Science & Humanity, Greater Kolkata College of Engineering and Management, West Bengal, India

Dr. Mete Yaganoglu
Ataturk University, Faculty of Engineering, Department of Computer Engineering, Erzurum, Turkey




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