Artificial Intelligence and Sustainable Supply Chain in Dairy Industry: A Systematic Review and Bibliometric Analysis

Abstract

Dairy industry needs an effective and efficient logistics system for managing supply chain across the chain. The main aim of this paper is the critically review the existing literature and analyse the sustainable supply chain practices with special reference to the dairy industry. This review identifies past and emerging concepts as well as methodologies in dairy supply chain. The objective of the present study is also to review how the modern technologies like artificial intelligence, Internet of Things, Block Chain are linked with the sustainability in the dairy supply chain, which ultimately impacting on the business performances. The study conducted systematic literature review on sustainable supply chain in dairy industry using PRISMA model based on 37 papers from the databases from 2012 to 2023. The study used published literature, peer reviewed journals, Industrial reports, official website etc. This analysis covers topics like most cited articles, co-citation analysis, bibliographic coupling. Based on the review of literatures, theoretical framework has been developed. The literature suggested that industry 4.0 through block chain platform has helped the industry in improving their supply chain performance. The study will be helpful in setting the future research directions for both the practitioners and academia in the area of AI applications for sustainable practises in Indian dairy Industry in order to improving supply chain and logistics and limit carbon emissions.