| Issue |
E3S Web Conf.
Volume 268, 2021
2020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
|
|
|---|---|---|
| Article Number | 01060 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202126801060 | |
| Published online | 11 June 2021 | |
Dynamic construction of virtual manufacturing cell considering workload balancing and machine failure
Jiangsu University of Science and Technology, Zhenjiang, Jiangsu212003, China
* Corresponding author: Email: polylv@foxmail.com
Machine is the key element in manufacturing system. Machine failure will lead to order delivery delay and production cost rise. Aiming at the random disturbance of equipment failure, a dynamic non-linear programming model of virtual manufacturing cell (VMC) is established, which aims to minimize the equipment cost, logistics transportation cost, delay delivery cost and the differences of workload among cells, based on the comprehensive consideration of equipment reliability, process route constraints, variable processing path and workload. Due to the high complexity of the problem, the hybrid particle swarm optimization algorithm is used to solve the model, and the rationality and effectiveness of the method are verified by a numerical example. Experimental results show that this method has advantages in reducing the cost of cell reconfiguration, improving the utilization of equipment and shortening the completion time.
Key words: virtual manufacturing cell / machine failure / dynamic construction / PSO-GA hybrid algorithm
© The Authors, published by EDP Sciences, 2021
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.