Hybrid genetic algorithm-based on optimization of multi-echelon inventory structure design

被引：0
|
作者：
Yu, Yang [1 ]
Wang, Zhangen [1 ]
Zhang, Qiang [1 ]
Yang, Wei [2 ]
Shi, Mengzhu [1 ]
Li, Xueying [1 ]
机构：
[1] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
[2] Shangdong Sihua Environm Protect Energy saving En, Jinan, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词：
Hybrid genetic algorithm; multi-echelon inventory structure; SYSTEM; MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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).
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页数：4
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