Research Communication | Open Access
Volume 2021 | Communication ID 204
Volume 2021 | Communication ID 204
| Big Data Analytics in Supply Chain |
Doha Haloui, Kenza Oufaska, Mustapha Oudani, Khalid El Yassini
Received |
Accepted |
Published |
January 31, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: The increasing volume of available data has led to the development of various business intelligence tools that are outlined under the Big Data Analytics (BDA) concept [1]. In recent years, many research shows that big data analytics tools have a strong and significant effect on innovative product and development of supply chain out comes [2]. BDA is effective at predicting demand, reducing safety stock, and enhancing supplier efficiency [3]. In addition, supply chain processes have become highly automated and conventional supply chain management functions will be partly replaced by ...