Design and Simulation of Workshop Layout Reconstruction Based on Flexsim and Multi-objective Genetic Algorithm
- DOI
- 10.2991/amms-17.2017.64How to use a DOI?
- Keywords
- reconfigurable workshop; equipment dynamic layout; virtual manufacturing; multi - fitness construction genetic algorithm; random competition roulette; flexsim
- Abstract
Research the problem of dynamic layout of equipment with multiple constraints in reconfigurable workshop. The logistics transport and restructuring of the layout cost as an optimization target. Transforming the dynamic layout problem into a static layout problem in single production cycle. Utilizing the theory of virtual manufacturing and computer simulation to construct a multi - constrained optimization model for dynamic layout of multiple devices with different equipments' acreage. Adopting new genetic algorithm with multi - fitness function and random competition roulette selection strategy to this NP problem that overcomed the shortcomings of a single fitness function that does not guarantee optimal optimization and can not provide multiple strategies for production risk decisions. This approach improved the convergence rate and obtained varieties of feasible solutions from multi-angle model. The effectiveness of the method is verified by examples and Flexsim simulation.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jiawei Xiong AU - Shuhai Fan AU - Siyu Chen AU - Wenqian Zhang PY - 2017/11 DA - 2017/11 TI - Design and Simulation of Workshop Layout Reconstruction Based on Flexsim and Multi-objective Genetic Algorithm BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017) PB - Atlantis Press SP - 284 EP - 288 SN - 1951-6851 UR - https://doi.org/10.2991/amms-17.2017.64 DO - 10.2991/amms-17.2017.64 ID - Xiong2017/11 ER -