%0 Conference Paper %1 10130953 %A Affenzeller, Michael %A Bögl, Michael %A Fischer, Lukas %A Sobieczky, Florian %A Yang, Kaifeng %A Zenisek, Jan %B 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) %D 2022 %K cooperative deep-learning interact models simulation %P 1-8 %R 10.1109/SYNASC57785.2022.00009 %T Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way %U https://ieeexplore.ieee.org/document/10130953 %X Business analytics is an extensive use of data acquired from diverse sources, statistical and quantitative analysis, explainable and predictive models, and fact-based management to make better strategic decisions for different stakeholders. To be able to model complex systems holistically in such a way that they can be fed into an efficient simulation-based optimization in the sense of prescriptive analytics, approaches and solutions that go beyond state-of-the-art are required. This paper introduces the basic technologies used in prescriptive analytics and proposes secure prescriptive analytics (SPA) that is based on component-based hierarchical modeling and dynamic optimization. Each element under the SPA framework is defined and illustrated by an example of production plan optimization.

@inproceedings{10130953, abstract = {Business analytics is an extensive use of data acquired from diverse sources, statistical and quantitative analysis, explainable and predictive models, and fact-based management to make better strategic decisions for different stakeholders. To be able to model complex systems holistically in such a way that they can be fed into an efficient simulation-based optimization in the sense of prescriptive analytics, approaches and solutions that go beyond state-of-the-art are required. This paper introduces the basic technologies used in prescriptive analytics and proposes secure prescriptive analytics (SPA) that is based on component-based hierarchical modeling and dynamic optimization. Each element under the SPA framework is defined and illustrated by an example of production plan optimization.}, added-at = {2023-08-04T09:52:14.000+0200}, author = {Affenzeller, Michael and Bögl, Michael and Fischer, Lukas and Sobieczky, Florian and Yang, Kaifeng and Zenisek, Jan}, biburl = {https://www.bibsonomy.org/bibtex/2276d530eda60f42f63a29c8f1b44b167/scch}, booktitle = {2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)}, doi = {10.1109/SYNASC57785.2022.00009}, interhash = {630dd0c3259e5231170dc9eb90d522a8}, intrahash = {276d530eda60f42f63a29c8f1b44b167}, issn = {2470-881X}, keywords = {cooperative deep-learning interact models simulation}, month = {Sep.}, pages = {1-8}, timestamp = {2023-08-04T09:52:14.000+0200}, title = {Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way}, url = {https://ieeexplore.ieee.org/document/10130953}, year = 2022 }