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A Review on the Use of Artificial Intelligence in Reverse Logistics
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Author(s): Abhishek Kumar Sinha (National Institute of Technology, Calicut, India), Sajan T. John (Viswajyothi College of Engineering and Technology, India)and R. Sridharan (National Institute of Technology, Calicut, India)
Copyright: 2023
Pages: 16
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch176
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Abstract
This study investigates the role of machine learning (ML) and artificial intelligence (AI) in reverse logistics (RL) within the scope of e-commerce and e-waste. RL is a process to plan and manage the flow of products from consumer to provider with the purpose to generate value. From the bottom line of sustainability, it is important to manage and improve the product return and end-of-life product. Past research studies have presented several techniques to optimize the cost, schedule, and route. However, the integration of ML and AI tools in information technology systems is limited and insufficient. The purpose is to present the research gap for further study. The article is organized as follows: Section 1 provides an introduction to reverse logistics, ML, AI, e-commerce, and e-waste. Section 2 presents a comprehensive review of the current research, and Section 3 concludes the article.
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