| Issue |
MATEC Web Conf.
Volume 112, 2017
21st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|
|
|---|---|---|
| Article Number | 05008 | |
| Number of page(s) | 6 | |
| Section | Flexible Manufacturing, Automation and Robotics in Technological Processes | |
| DOI | https://doi.org/10.1051/matecconf/201711205008 | |
| Published online | 03 July 2017 | |
Operational parameters estimation for a flexible manufacturing system. A case study
Transilvania University of Braşov, Department of Engineering and Industrial Management, Mihai Viteazul 5, Braşov, Romania
* Corresponding author: fota.a@unitbv.ro
The complex structure of flexible manufacturing systems and rapid changes currently taking place with the evolution of the market and increase product diversity involves a detailed analysis of manufacturing processes. Manufacturing systems analysis can be done using methods based on analytical models and simulation. By applying these techniques one can view, analyze and forecast the performance of a dynamic system or of a new implemented system. Performance is one of the main factors affecting the design, development and configuration of any flexible manufacturing system. In this context, the present research will be directed to flexible manufacturing system structure analysis, to assess its performance, as well as simulating and validating these systems. It will generate and analyze key performance parameters, for the designed system by the use of specific software. Thus, it will study: the influence of the initial conditions or parameters on the behaviour of the flexible manufacturing system, the influence of the developing commands and system states on output or the influence of changes in the system structure on its behaviour.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.