MATEC Web Conf.
Volume 290, 20199th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|Number of page(s)||13|
|Section||Training Workforce Skills in Digitalization Era of Factory of the Future|
|Published online||21 August 2019|
MM-DSL, support for implementing modelling tools for manufacturing processes
1 Lucian Blaga University of Sibiu, Computer Science and Electrical Engineering Department, Emil Cioran 4, Sibiu, Romania
2 Lucian Blaga University of Sibiu, Computer Science and Electrical Engineering Department, Emil Cioran 4, Sibiu, Romania
* Corresponding author: email@example.com
Today’s competitive conditions call for detailed comparative analyzes of manufacturing processes in order to get competitive products. This analysis involves the development of faithful and robust models for the supervision and management of all organizational and operational activities of companies. Efficient modelling involves the selection and use of appropriate tools for modelling, simulation and analysis of manufacturing processes. The diversity of manufacturing processes often makes it necessary to implement specific modelling tools. MM-DSL is a platform independent language for specifying and implementing specific modelling tools. The core objective of the MM-DSL language is the implementation of the modelling method concept. The paper presents the mechanisms underlying the MM-DSL language as well as its use for building the modelling tools specific to the manufacturing systems.
© The Authors, published by EDP Sciences, 2019
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.