I Lee, G Mangalaraj - Big data and cognitive computing, 2022 - mdpi.com
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent …
Emerging technologies such as artificial intelligence, blockchain, additive manufacturing, advanced robotics, autonomous vehicles, and the Internet of Things are frequently …
K Lai, Y Feng, Q Zhu - Transportation Research Part E: Logistics and …, 2023 - Elsevier
In the digital era, green supply chain management (GSCM) is undergoing transformations associated with innovation and performance improvements. Manufacturers adopt these …
Supply chain decarbonisation has become a strategic requirement in the era of a net-zero economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …
Abstract Machine learning's (ML's) unique power to approximate functions and identify non‐ obvious regularities in data have attracted considerable attention from researchers in natural …
Supply chains (SCs) are susceptible to risks because of their dynamic and complex nature. Big data analytics (BDA) through blockchain technology (BCT) can significantly contribute to …
WA Khan, HL Ma, X Ouyang, DY Mo - Transportation Research Part E …, 2021 - Elsevier
Accurate prediction of the aircraft trajectory and associated fuel consumption has become an important research topic owing to the increasing importance of air traffic management …
Throughout the operation and maintenance (O&M) stage, facility management (FM) teams collect and process data from different sources, often needing to be adequately considered …
X Wang, T Gong - Technological Forecasting and Social Change, 2024 - Elsevier
The literature on sustainable supply chains primarily delves into how lead firms manage the CO 2 emissions of various tiers of their suppliers by employing market-oriented solutions like …