摘要
回收产品到达时间、数量和质量的不确定性,可降低再制造物流网络的稳定性和柔性。对此提出了健壮性设计,以提高系统的稳定性;建立了再制造物流网络数学健壮性模型,该模型通过分布函数反映不确定性因素;采用实验设计与数学仿真相结合的方法对系统进行了敏感性分析;研究每个因素和水平对系统的影响,并找出了主因素和最优的组合,同时也探讨了因素个数、各因素的水平数及实验的设计过程;最后,通过实例说明了健壮性设计过程。
To deal with uncertainty problems such as time, quantity and quality of recycling products which leading to low stability and flexibility of remanufacturing logistics networks, robust design was put forward to improve system stability. The mathematical model of remanufacturing logistics networks was set up based on stochastic distribution of uncontrollable factors, and robust objectives were presented. Sensitivity analysis was conducted through the integrated use of mathematical simulation and experimental design. Each influencing factor and level was studied and the main factors and optimal combination were provided. Meanwhile the numbers of factors, level of each factor and design process of experiment were also discussed. Finally, the process of robust design based on design of experiment was demonstrated by an application example.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2005年第12期1705-1709,共5页
Computer Integrated Manufacturing Systems
基金
上海市自然科学基金资助项目(02ZH14060)~~
关键词
再制造
物流网络
健壮性设计
实验设计
remanufacturing
logistics networks
robust design
design of experiment
