Authors:
Christian Lambeck
1
;
Dirk Schmalzried
2
;
Rainer Alt
3
and
Rainer Groh
1
Affiliations:
1
Technical University Dresden, Germany
;
2
OR Soft Jänicke GmbH, Germany
;
3
University Leipzig, Germany
Keyword(s):
Visual Business Intelligence, Business Analytics, Real-time Supply Chain Management, Decision Support, Radial Basis Functions, Scheduling.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
HCI on Enterprise Information Systems
;
Human-Computer Interaction
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Scheduling and Planning
;
Simulation
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
Abstract:
In current research, Enterprise Information Systems (EIS) are increasingly based on In-Memory-Technologies, resulting in extremely fast response times for a multitude of typical system requests. In addition, up-to-date hardware configurations apply multi-core processing units, which lead to an availability of immense computing power. Instead of a single result value, a whole result set is calculated within the same period of time. Because of these dramatic changes in technology, many business processes, currently still characterized by mask and dialog oriented user interfaces, will change to interactive and simulation based approaches. This allows for the introduction of innovative, interactive and simulation based business processes instead of conventional batch oriented ones. In the combination of the described interaction concept in this contribution and the handing of result sets as described above, the authors expect a fusion of operational (e.g. supply chain management) and ana
lytical (e.g. business intelligence) application systems. To achieve this goal, the usage of assessment functions for weighting results, multi-dimensional result space folding based on similarity measures and visualizations using 3D-landscapes based on radial basis functions is suggested.
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