03/2018 Proceedings

A Visionary Way to Novel Process Optimizations - The Marriage of the Process Domain and Deep Neuronal Networks

Abstract

Modern process optimization approaches do build on various qualitative and quantitative tools, but are mainly limited to simple relations in different process perspectives like cost, time or stock. In this paper, a new approach is presented which focuses on techniques of the area of Artificial Intelligence to capture complex relations within processes. Hence, a fundamental value increase is intended to be gained. Existing modeling techniques and languages serve as basic concepts and try to realize the junction of apparently contradictory approaches. This paper therefore draws a vision of promising future process optimization techniques and presents an innovative contribution.

Category	Proceedings
Authors	Grum, Marcus; Gronau, Norbert
Date	03/2018
pp.	1-24
Publisher	Springer
DOI	https://doi.org/10.1007/978-3-319-78428-1_1
Keywords	Process modeling, Artificial Intelligence, Machine learning, Deep neuronal networks, Knowledge Modeling Description Language KMDL, Process simulation, Simulation process building, Process optimization
BibTex	@inproceedings{inproceedings,author = {Grum, Marcus and Gronau, Norbert}, title = {A VisionaryWay to Novel Process Optimizations - The Marriage of the Process Domain and Deep Neuronal Networks}, editor = {}, booktitle = {}, year = {2018}, month = {3}, pages = {1-24}, isbn = {}, doi = {https://doi.org/10.1007/978-3-319-78428-1_1}, keywords = {Process modeling, Artificial Intelligence, Machine learning, Deep neuronal networks, Knowledge Modeling Description Language KMDL, Process simulation, Simulation process building, Process optimization }}