不确定下再制造系统的鲁棒优化研究  

Research on robust Optimization of Remanufacturing system under uncertainty

作　　者：苗倩 韩茜 郝晓凡 MIAO Qian;HAN Qian;HAO Xiaofan(School of Mechanical&Electrical Engineering,Xi’an Polytechnic University,Xi’an 710048)

机构地区：[1]西安工程大学机电工程学院

出　　处：《西部皮革》2019年第24期95-96,共2页West Leather

摘　　要：由于市场需求的不确定会造成再制造企业的生产决策的稳定性.针对这一问题首先以采用基于情景集的鲁棒优化方法建立该再制造生产系统的鲁棒运作模型,并以某工厂为例,运用Lingo 11. 0进行了数值实验,分析了确定情景与不确定情景结果的相对差,由此验证了模型的鲁棒性。Due to the uncertainty of market demand,the stability of production decision of remanufacturing enterprises will be caused. In order to solve this problem,the robust operation model of the remanufacturing production system is established by using the robust optimization method based on scenario set. Taking a factory as an example,the numerical experiment is carried out by using Lingo 11. 0,and the relative difference between the results of the determined scenario and the uncertain scenario is analyzed,and the robustness of the model is verified.

关 键 词：再制造 不确定性 生产计划 鲁棒优化 

分 类 号：TH185[机械工程—机械制造及自动化] TP205[自动化与计算机技术—检测技术与自动化装置]