Environmental Supply Chain Risk Management for Industry 4.0: A Data Mining Framework and Research Agenda
Smart technologies have dramatically improved environmental risk perception and altered
the way organizations share knowledge and communicate. As a result of the increasing …
the way organizations share knowledge and communicate. As a result of the increasing …
A data mining-based framework for supply chain risk management
Increased risk exposure levels, technological developments and the growing information
overload in supply chain networks drive organizations to embrace data-driven approaches …
overload in supply chain networks drive organizations to embrace data-driven approaches …
Big data analytics for supply chain management
J Leveling, M Edelbrock, B Otto - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
A high number of business cases are characterized by an expanded complexity. This is
based on increased collaboration between companies, customers and governmental …
based on increased collaboration between companies, customers and governmental …
The use of supply chain control tower in pharmaceutical industry to create a competitive advantage
AAA Sharabati, SA Al-Atrash, IY Dalbah - International Journal of …, 2022 - emerald.com
Purpose Supply chain control tower (SCCT) has emerged as a new tool for SC
management. Therefore, this study aims to investigate the impact of SCCT on the …
management. Therefore, this study aims to investigate the impact of SCCT on the …
Visualization in operations management research
The unprecedented availability of data, along with the growing variety of software packages
to visualize it, presents both opportunities and challenges for operations management (OM) …
to visualize it, presents both opportunities and challenges for operations management (OM) …
Smart supply chain risk management-a conceptual framework
F Schlüter, M Henke - Digitalization in Supply Chain Management and …, 2017 - econstor.eu
Screening existing literature on Supply Chain Risk Management (SCRM) shows that only
sporadic attention is paid on real data driven SCRM. Most tools and approaches lead to an …
sporadic attention is paid on real data driven SCRM. Most tools and approaches lead to an …
Application of real-time GIS analytics to support spatial intelligent decision-making in the era of big data for smart cities
M Mbuh, P Metzger, P Brandt, K Fika… - EAI Endorsed Transactions …, 2019 - eudl.eu
The rapid growth of the urban landscape from natural development, traffic congestion, crime,
and waste management has become a challenge to the city dwellers and decision-makers …
and waste management has become a challenge to the city dwellers and decision-makers …
Method for determining and providing display analyzing of impact severity of event on a network
DB Martin, XY Lin, M Pinilla - US Patent 10,296,857, 2019 - Google Patents
The present disclosure describes a communication device and server configured to provide
a user a relative event impact map display depicting a plurality of items impacted by an …
a user a relative event impact map display depicting a plurality of items impacted by an …
NFTVis: Visual Analysis of NFT Performance
A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and
more investors and collectors (NFT traders), who participate in transactions of NFTs, have an …
more investors and collectors (NFT traders), who participate in transactions of NFTs, have an …
Data-driven supply chain monitoring using canonical variate analysis
J Wang, CLE Swartz, K Huang - Computers & Chemical Engineering, 2023 - Elsevier
The monitoring of supply chain operations and the ability to detect abnormal operation in a
timely manner is important to the functioning and economics of a supply chain system. This …
timely manner is important to the functioning and economics of a supply chain system. This …