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

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 muhiple 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).

关键词： Hybrid genetic algorithm multi-echelon inventory structure

作者: Yang Yu Zhangen Wang Qiang Zhang Wei Yang Mengzhu Shi Xueying Li

作者单位: School of mechanical engineering,Shandong University,Jinan 250061,China Shangdong Sihua Environmemt Protect & Energy-saving Engineering Co.,Ltd

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 856-859

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）