Issue |
MATEC Web Conf.
Volume 121, 2017
8th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|
|
---|---|---|
Article Number | 04008 | |
Number of page(s) | 6 | |
Section | Virtual Engineering | |
DOI | https://doi.org/10.1051/matecconf/201712104008 | |
Published online | 09 August 2017 |
Methodology for computer-assisted optimization of waste flow
University Politehnica of Bucharest, MSP Department, Spl. Independentei 313, Bucharest, Romania
* Corresponding author: laur.popa79@gmail.com
The paper reports the development of a methodology based on computer simulations with the purpose to support decisions in designing the optimal architecture of different types of selective waste collection systems and recycling systems. The design of such systems is a complex task which involves both a very good knowledge of selective waste collection system equipment characteristics and of recycling processes, and the correct placing of the equipment along the flow so that to avoid underutilization of the structural elements and to avoid bottlenecks which generate low productivity or even blockages. The methodology is applied for three case studies in which different types of waste flow models are investigated: hybrid waste flows (windshields recycling), discrete waste flows (waste electric and electronic equipment collection) and continuous flows (industrial and automotive used oil collection and recycling). The architectures of these systems are optimized using the developed methodology in order to increase usage degree and productivity.
© 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.