The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
A survey of data mining and knowledge discovery software tools
ACM SIGKDD Explorations Newsletter
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
A model for inbound supply risk analysis
Computers in Industry
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This paper discusses the concept of supply chain risk management (SCRM) in relation to the emerging challenges brought by globalisation and information and communication technologies (ICT) and the ability of SCRM frameworks to adapt to these latest requirements. As SCRM can be responsible for loss or gain of profit, the ultimate goal of enterprises is to have resilient supply chains with automated decision making that can deal with potential disruptions. In response to these, taking advantage of ICT developments such as knowledge and data discovery techniques and automated risk management frameworks have become a vital aspect for assuring business success. Having this context, this research has the following aims: 1) to perform literature review on identifying and categorising several types of supply chain risks in order to analyze their management strategies, 2) to perform a literature review on knowledge management frameworks and 3) to propose a knowledge management and a risk management framework that would be, at a further stage of this research, integrated in an agent based decision support system for supply chain risk management.