Handbook on Artificial Intelligence and the Circular Economy

Edited by Ashutosh Samadhiya, Anil Kumar, Samuel O. Idowu and Pankaj Dutta

in Books from Edward Elgar Publishing

Abstract: This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable ’take-make-dispose’ model.

Keywords: Artificial Intelligence In Sustainability; Circular Economy And Digital Transformation Ai-Enabled Circular Supply Chains; Sustainable Innovation And Automation; Ethics Of Ai In Environmental Management; Systems Thinking In Circular Economy Transitions (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035343379
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Chapters in this book:

Ch 1 Introduction to the Handbook on Artificial Intelligence and the Circular Economy

Ashutosh Samadhiya, Anil Kumar, Samuel O. Idowu and Pankaj Dutta

Ch 2 Artificial intelligence as a catalyst for the circular economy: trends and future direction

Jayalaxmi Samal, Ashyashree Praharaj, Ashok Kumar Patra and Biswajit Prasad Chhatoi

Ch 3 Supporting the circular economy using digital technologies in operations management processes

Suman Kumar Das and Nicola Saccani

Ch 4 AI and traditional wisdom: bridging modernity and tradition in strategic decision-making

Pragati Kachhi, Kritika Tekwani and Akanksha Singh

Ch 5 The role of AI in driving circular economy governance in mergers and acquisitions of Indian chemical industries

Biswadeep Dutta

Ch 6 The impact of AI on privacy law: investigation on data protection in the modern era

Abhilasha Khare, Aditya Kedari and Pranjali Bawane

Ch 7 AI and sustainable product design

Ananya Mishra and Pradeep Kautish

Ch 8 Artificial intelligence as an enabler of remanufacturing in circular economy system: a systematic literature review

Farheen Naz, Ashutosh Samadhiya, Anil Kumar, Samuel O. Idowu and Pankaj Dutta

Ch 9 Predicting manufacturing defects using machine learning algorithms

R. Gopi, Aditya Sharma, Savita Sangam and Saurabh Pratap

Ch 10 A data analytics approach for the selection of suppliers for achieving better sustainability of the manufacturing industries

Swarup Paul

Ch 11 Agents-based model for MODFJSP with efficient energy consumption

Manojkumar Pal, Murari Lal Mittal, Sagar Ghuge and Surya Prakash

Ch 12 AI adoption in Indian MSMEs: challenges and implementation

Lalit Kumar

Ch 13 Ethical logistics and green supply chain management

Hajar Fatorachian

Ch 14 Integrating emerging technologies in circular supply chains: a review of key trends and a way ahead

Ashutosh Mishra, Akshay Dvivedi and Pradeep Kumar

Ch 15 Implementing sustainable practices in Amazon's supply chain management system

Chinmay Mali and Sujay Naik

Ch 16 Multi-objective 4-dimensional green transportation problem for multi-items through IoT driven vehicle velocity

Md Samim Aktar and Deepak Sharma

Ch 17 Decoding eco-purchases: the interplay of green packaging, environmental awareness and brand image

Rajesh Moharana, Himanshi Garg and Sonalika Sarangi

Ch 18 Sustainable digital health: integrating AI and circular economy principles

Kavita Rawat Garg, Krishan Kumar Pandey and Gaurav Kabra

Ch 19 AI-enabled healthcare waste sorting using a multi-layer perceptron algorithm and its validation with Kolmogorov-Arnold networks

Ananya Kapoor, Vaibhav Sharma and Rajeev Agrawal

Ch 20 Optimizing renewable energy system maintenance: an integrated approach of GA with ML techniques

T. N. Nisha and S. Vijayakumar Bharathi

Ch 21 Leveraging technology for digital green financing and renewable energy: public opinion and emerging trends in India

R. Varsha and N. Nayana

Ch 22 Leveraging AI for sustainable agile practices: strategies for green software development

Pooja R. Nair and Krishnan Ramanathan

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