Task-Specific Decision Support Systems in Multi-Level Production Systems based on the digital shadow
| Autor: | Philipp Hünnekes, Markus Fischer, Daniel Pause, Volker Stich, Henning Petruck, Alexander Mertens, Marco Faber, Günther Schuh, Philipp Brauner, Verena Nitsch, Martina Ziefle |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Decision support system business.industry Computer science Supply chain Distributed computing 02 engineering and technology Task (project management) Data-driven 020901 industrial engineering & automation Information and Communications Technology 0202 electrical engineering electronic engineering information engineering Task analysis 020201 artificial intelligence & image processing The Internet business Cluster analysis |
| Zdroj: | ICPS |
| DOI: | 10.1109/icphys.2019.8780186 |
| Popis: | Due to the increasing spread of Information and Communication Technologies (ICT) suitable for shop floors, the production environment can more easily be digitally connected to the various decision making levels of a production system. This connectivity as well as an increasing availability of high-resolution feedback data, can be used for decision support for all levels of the company and supply chain. To enable data driven decision support, different data sources were structured and linked. The data was combined in task-specific digital shadows, selecting clustering and aggregation rules to gain information. Visual interfaces for task-specific decision support systems (DSS) were developed and evaluated positively by domain experts. The complexity of decision making on different levels was successfully reduced as an effect of the processed amounts of data. These interfaces support decision making, but can additionally be improved if DSS are extended with smart agents as proposed in the Internet of Production. |
| Databáze: | OpenAIRE |
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