Hybrid genetic algorithm-based on optimization of multi-echelon inventory structure design
- DOI
- 10.2991/emeit.2012.184How to use a DOI?
- Keywords
- Hybrid genetic algorithm, multi-echelon inventory structure
- Abstract
Take inventory and delivery time of raw materials and finished products in the product life cycle from upstream business to the downstream business as the main variable,Integrated cost factors of multiple suppliers, individual manufacturers, multiple distribution center and multiple retailers under the environment of supply chain environment, build Longitudinal multi-level inventory and distribution model (IMLIDM). It uses the improved hybrid simulation genetic algorithm (GSA) optimize the model, instance operation results show that optimization effect of this algorithm is better than Integrated Product and Process Development (IPPD).
- Copyright
- © 2012, 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 - Yang Yu AU - Zhangen Wang AU - Qiang Zhang AU - Wei Yang AU - Mengzhu Shi PY - 2012/09 DA - 2012/09 TI - Hybrid genetic algorithm-based on optimization of multi-echelon inventory structure design BT - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012) PB - Atlantis Press SP - 856 EP - 859 SN - 1951-6851 UR - https://doi.org/10.2991/emeit.2012.184 DO - 10.2991/emeit.2012.184 ID - Yu2012/09 ER -