A Review of Artificial Intelligence applications in Supply Chain

Abstract

Nowadays, the supply chain faces several challenges, among others, uncertainty relating to demand, stochasticity, and bullwhip effect, as well as external disruptions, risks and crises which can temporarily or durably impact customer’s service, Science has therefore become increasingly interested in an industrial revolution, namely Industry 4.0 which Artificial Intelligence is the most commonly used technology that is capable of revolutionizing many industries and fields. The aim of this article is to review the literature on the Artificial Intelligence applications in Supply Chain and the most used approaches in planning, prediction, purchasing, procurement, transportation and distribution to improve the performance, resilience and efficiency of the Supply chain.

AI Trends: Salient Aspects for the Manufacturing Sector and Its Global Supply Chain

“…AI can also be used to automate repetitive tasks, office routines, improve efficiency and enhance collaboration across the entire supply chain ecosystem. Ultimately, AI can help organizations to achieve their supply chain goals, such as reducing costs, improving quality, and increasing customer satisfaction (Velu et al, 2020;Atwani et al, 2022;Deloitte, 2022). Furthermore, AI algorithms can be used to analyze data from various sources, including suppliers, customers, and regulatory agencies, to identify opportunities for sustainable practices and develop strategies to achieve sustainability goals.…”

“…AI algorithms for production optimization typically involves collecting and analyzing large amounts of data from various sources, such as sensors, production logs, and supply chain data. Machine learning algorithms are then used to identify patterns and insights in the data, and to generate recommendations or predictions for optimizing production processes (Atwani et al, 2022;Kutz et al, 2022). For example, AI can be used to optimize production scheduling by predicting the availability of raw materials and the capacity of production lines, and generating optimal production plans that minimize downtime and maximize efficiency.…”

“…Also, they understand the context and are able to associate questions with answers, learn from each interaction and enlarge human decision with additional context. In the recent post-pandemic years, the AI algorithms have also been used to mitigate supply chain resilience, with accurate traceability and to improve supplier selection and negotiation (Atwani et al, 2022). This aspect had enabled organizations to ensure products on-time-delivery, quality requirements and competitive price level.…”

The Advantages of Artificial Intelligence in Operational Decision Making

“…Several studies highlight the various applications of AI in different aspects of the supply chain, such as planning, prediction, purchasing, procurement, transportation, distribution, quality control, warehouse management, and inventory tracking (Hlyal, 2022;Patel, 2022). AI, coupled with automated digital recording systems, can facilitate analysis of large datasets for better conservation and management decisions.…”

What Are Successful Environmental Technologies That S&P 500 Companies Invest in Order to Drive the Energy Transition and Sustainability? Application of Artificial Intelligence (AI) Tool

“…This research seeks to identify and analyze specific AI-driven technologies that S&P 500 companies employ to navigate the complexities of the energy transition, ultimately contributing to the broader discourse on sustainable business practices. By applying the AI-driven technology called FinChat.io, this paper aims to identify and elucidate the key environmental technologies that have proven successful in driving the energy transition within the S&P 500 cohort (Atwani et al, 2022;Fang et al, 2023).…”