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Visual Analytics for Decision Support: A Supply Chain Perspective
2021
IEEE Access
Supply chain (SC) activities generate huge amount of data that can be used in decision making processes. However, proper data analytics techniques are required to combine, organize, and analyze data from different sources and produce required insights available for decision makers. These techniques promote analytical reasoning of the events and patterns hidden in the data using visualizations, so-called Visual Analytics (VA). Although there is a large number of VA systems to facilitate the
doi:10.1109/access.2021.3085496
fatcat:lreijdtcango5khkbglblr7cwq