Research Article
A Multi-user-collaboration Platform Concept for Managing Simulation-Based Optimization of Virtual Tooling as Big Data Exchange Service
@INPROCEEDINGS{10.1007/978-3-319-58967-1_17, author={Jens Weber}, title={A Multi-user-collaboration Platform Concept for Managing Simulation-Based Optimization of Virtual Tooling as Big Data Exchange Service}, proceedings={Big Data Technologies and Applications. 7th International Conference, BDTA 2016, Seoul, South Korea, November 17--18, 2016, Proceedings}, proceedings_a={BDTA}, year={2017}, month={6}, keywords={Simulation-based optimization Collaborative platform Multi-user-agent Knowledge management Virtual tooling NC-program Data exchange}, doi={10.1007/978-3-319-58967-1_17} }- Jens Weber
Year: 2017
A Multi-user-collaboration Platform Concept for Managing Simulation-Based Optimization of Virtual Tooling as Big Data Exchange Service
BDTA
Springer
DOI: 10.1007/978-3-319-58967-1_17
Abstract
Intelligent connected systems for the successfully implementation of collaborative work systems in the areas such as Internet of things/Industry 4.0 require a knowledge management system which offers opportunities to work on one task with different organizations on the same time. Cooperative work in the field of setup preparation for production systems is one challenge for an efficiency and infallibly work preparation. One example is the validation and optimization process for NC-programs, which is offered by CAD/CAM interfaces as well as the experiences of the worker uses the machine. Planned production processes are simulated by the CAD/CAM-programs. Optimized setup data are provided to the worker using the setup. The challenge is to provide a service to handle the dataset of job information, optimization information and setup information for many users in order to manage databases and data sets. The approach deals with a system concept of an implementation of a production optimization tool embedded by a collaborative platform containing access by a Multi-User-Agent to manage setup parameters direct from the simulation to the machine as well as proved job management workflows.
