4Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0
Alireza Goli1*, Amir-Mohammad Golmohammadi2 and S. A. Edalatpanah3
1Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran
2Department of Industrial Engineering, Arak University, Arak, Iran
3Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran
Abstract
Nowadays, the speed of implementation of technological advances is increasing. Moreover, the economic challenges posed by technological and social developments have led industrial companies to increase their agility and responsiveness in order to be able to manage the entire value chain. On the other hand, one of the most interesting and at the same time one of the most important challenges facing supply chains is Industry 4.0, which is based on digital technology and varies greatly in scale and complexity. It is more than what humanity has experienced through previous industrial revolutions, and decisions need to be made faster and more accurately. Accordingly, in this paper, a comprehensive framework for accelerating supply chain decisions with respect to Industry 4.0 is provided. In this regard, first, Industry 4.0 is described in detail. Next, a framework for demand forecasting in the 4.0 industry-based supply chain is provided using artificial intelligence tools. In this context, the simultaneous use of time series ...
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