https://orcid.org/0000-0002-1073-058X
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ABSTRACT
Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient supply chains. However, the literature is highly dispersed regarding the application of AI in supply-chain management. The literature to date lacks a decision-making framework for identifying and applying powerful AI techniques to build supply-chain resilience (SCRes), curbing advances in research and practice on this interesting interface. In this paper, we propose an integrated Multi-criteria decision-making (MCDM) technique powered by AI-based algorithms such as Fuzzy systems, Wavelet Neural Networks (WNN) and Evaluation based on Distance from Average Solution (EDAS) to identify patterns in AI techniques for developing different SCRes strategies. The analysis was informed by data collected from 479 manufacturing companies to determine the most significant AI applications used for SCRes. The findings show that fuzzy logic programming, machine learning big data, and agent-based systems are the most promising techniques used to promote SCRes strategies. The study findings support decision-makers by providing an integrated decision-making framework to guide practitioners in AI deployment for building SCRes.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Amine Belhadi
Dr Amine Belhadi is a researcher in Industrial Engineering at Cadi Ayyad University, Morocco. Amine is an Industrial Engineer. He works currently as associate consultant in chemical sector. His expertise area is the Industrial Engineering particularly Lean Manufacturing, Supply Chain Management, Industry 4.0 and Sustainability. His publications have appeared in international peer reviewed journals including many prestigious journals like International Journal of Production Research, Technological Forecasting and Social Change, Journal of Small Business Management, Computers and Industrial Engineering, Production Planning and Control and Journal of Cleaner Production.
Sachin Kamble
Dr Sachin Kamble is Professor of Strategy at EDHEC Business School, France. He has over 20 years of academic experience and is associated with leading manufacturing organisations in India, as a consultant and trainer. His-research interest is inclined towards understanding the impact of emerging technologies such as Blockchain, Industry 4.0 and Big Data Analytics on sustainable supply chain performance. His-work has been published in high impact journals such as International Journal of Production Economics, International Journal of Production Research, Computers in Industry, Annals of Operations Research, and Production Planning and Control.
Samuel Fosso Wamba
Dr Samuel Fosso Wamba is a Professor at Toulouse Business School, France, and Visiting Professor of Artificial Intelligence in Business at The University of Bradford, UK. He earned his PhD in industrial engineering at the Polytechnic School of Montreal, Canada. His current research focuses on business on the business value of I.T., inter-organisational systems adoption, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. His work has been published in several international conferences and journals, including the following: Academy of Management Journal, European Journal of Information Systems, International Journal of Production Economics, International Journal of Operations & Production Management, International Journal of Production Research, Journal of Business Research, Electronic Markets, Technology Forecasting and Social Change, Information Systems Frontiers, and Production Planning & Control.
Maciel M. Queiroz
Dr Maciel M. Queiroz is a Professor and Researcher of Operations and Supply Chain Management at Paulista University – UNIP. He earned his PhD in Naval Architecture and Ocean Engineering at the University of Sao Paulo, Brazil. His current research focuses on digital transformation, including Digital supply chain capabilities, Industry 4.0, AI, Blockchain, Big data, and IoT. He has published papers in top-tier international journals and conferences, including the International Journal of Production Economics, International Journal of Production Research, International Journal of Information Management, International Journal of Logistics Management, Supply Chain Management, Annals of Operations Research, Technological Forecasting and Social Change, Business Process Management Journal, Benchmarking, among others. His research also appeared in the Proceedings of the IFAC-MIM, IMAM, TMS, ISL, among others.