This position paper outlines our current research to develop a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common questions to consider in decision support and the technological capabilities to address these characteristics and questions. T...

The aim of the CHEM project is to develop and implement advanced Decision Support Systems (DSS) for process monitoring, data and event analysis, and operation support in industrial processes. These systems are synergistic integration of innovative software tools, which improve the safety, product quality and operation reliability as well as reduce the economic losses due to faulty states, mainl...

The joint workshop in Data Mining for Environmental Scientists and Intelligent Environmental Decision Support Systems tries to provide a common discussion forum to communicate environmentalists with data miners and intelligent decision support systems developers. As environmentalists are the consumers of both products, Data Mining (DM) and Intelligent Decision Support Systems (IDSS) are complem...

The supplier selection process is considered one of the most relevant decisions in supply chain management due to its effect on product quality and buyer performance. Supplier often unstructured, generally based lowest-price proposal. However, this type involves a high risk, sometimes resulting project delays, poor acquired goods, large financial losses. Price undoubtedly an important criterion...