A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment

Big Data has the potential to improve demand forecasting methods and detect supply chain disruptions. This paper reviews literature about machine learning tools for supporting supply chain management from a manufacturing perspective. Based on the literature included in international peer-reviewed journals and conferences, we build a task-oriented, comprehensive overview for the manufacturing domain according to the supply chain management operations reference model. Furthermore, we identify future research needs. Our findings aim to foster the understanding, acceptance, and adaption of these new machine learning tools to support people managing the supply chain.