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Artificial intelligence use in collaborative network processes
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Resumo(s)
This paper reviews the literature to analyse the use of artificial intelligence (AI) in collaborative processes among supply chain (SC) partners, thereby forming a collaborative network (CN). Given the growth of AI and its limited exploration in many business strategies, especially when collaboration among SC partners’ is established, this paper focuses on defining the lines of research and application of AI in CN processes, by presenting insights into how AI can improve the resilience and the antifragility. It examines the integration of AI in CN processes from the following perspectives: (i) the collaborative processes addressed among the CN partners, (ii) the decision-making level of the collaborative processes performed, (iii) the SC partners involved in the collaboration; (iv) the technologies combined with AI to support CN processes; (v) the programming languages implemented to develop AI algorithms; (vi) the SC sectors in which AI is mainly implemented to perform collaborative processes; and (vii) the potential of implementing AI in CN processes, in an increasingly turbulent and disruptive business world. The study focuses on SC in various sectors, including food, transport, logistics, manufacturing, healthcare or electronics, among others. In addition, the review provides a comprehensive understanding of the interplay between collaborative processes and AI-driven advances, identifying the technologies that can merge with AI to support CN processes. The results have enabled the development of a conceptual framework for AI use collaborative processes and outline the benefits, risks and challenges associated with the use of AI in CN, while proposing future research directions in this area.
Descrição
Funding Information: The research that led to these findings received funding from the Horizon Europe Framework Programme (HORIZON) with Grant Agreement No 101057294 "AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability, and Resilience (AIDEAS)". First research projects aimed at research staff of the Universitat Politècnica de València in the framework of the Vice-Rectorate for Research (PAID-06- 23) " Algorithms and intelligent optimisation models for production planning and replenishment (ATENNEA)". Grant program for carrying out of stays of doctor research staff in companies of the Valencian Community, Spain (AEST/2023) CIAEST/2022/39 "Development of Optimisation Models and Heuristic Algorithms for Inventory Management and the Optimisation of Replenishment and Production Plans in a company in the agri-food industry machinery manufacturing sector". Publisher Copyright: © 2025 The Author(s)
Palavras-chave
Artificial intelligence Collaborative networks Collaborative processes Digital transformation Resilience Industrial and Manufacturing Engineering Information Systems and Management