… the importance of big data business analytics (BDBA), … logistics and supply chain management
(LSCM) – that we define as supply chain analytics (SCA), based on the nature of analytics …

… In recent years, big data analytics (BDA) capability has attracted significant attention from
academia and management practitioners. We are living in an era where there has been an …

… to recognise the current state of big data analytics (BDA) on different … firms’ maturity in
implementing BDA projects in logistics/SCM. … ”, Journal of Cleaner Production, Vol. 142 No. 2, pp. …

… Big Data approach to excavate the frequent trajectory from massive RFID-enabled manufacturing
data for supporting production logistics … data, cleansing mechanism for RFID Big Data, …

… system pattern to set up a big data-driven operation mode that can … manufacturing and
consumption. (Wang et al., 2020) With the purpose of thoroughly harmonizing big data analytics …

… Logistics industry could benefit from the results of this research by understanding the key
success factors of big data analytics to improve supply chain performance in logistics industry. …

… The purpose of this paper is to document the role and impact of Big Data Analytics (BDA),
and the Internet of Things (IoT), in supporting a large logistics firm’s strategy to improve driver …

… This article focuses only on artificial intelligence-driven big data analytics, predictive
maintenance systems, and Internet of Things-based real-time production logistics in sustainable …

… such as manufacturing, logistics, and retail. The use of Big Data Analytics on a collection of
such copious data sets can … processes, shop-floor management and manufacturing logistics …

… In order to overcome the aforementioned disadvantages, we propose to combine big data
analytics and simulation to answer complex queries about logistics processes. The proposed …