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基于粒子群算法的再入式飞行器再入走廊计算方法研究
引用本文:魏锟亮,刘磊,王永骥,常松涛. 基于粒子群算法的再入式飞行器再入走廊计算方法研究[J]. 湖南农业大学学报(自然科学版), 2013, 40(2): 1-4
作者姓名:魏锟亮  刘磊  王永骥  常松涛
作者单位:(1.大连理工大学 管理科学与工程博士后流动站,辽宁 大连116024;2.东北财经大学 数学与数量经济学院,辽宁 大连116025)
摘    要:为提高我国食品质量安全水平,对小型、分散的单个供应商和一个制造商构成的食品供应链中,制造商对原材料和最终食品进行质量检测的情况,建立了以供应商和制造商各自的质量水平为决策变量的优化模型,分析了最优质量水平的影响因素和影响效应.并依据结论提出相应建议,如提高消费者对优劣食品的识别能力,发挥制造商在供应链中的监督检验作用等.

关 键 词:最优质量  影响因素  制造商检验

Research of Re-entry Launch Vehicle Re-entry Corridor Calculation Based on Particle Swarm Optimization
WEI Kun-liang,LIU Lei,WANG Yong-ji,CHANG Song-tao. Research of Re-entry Launch Vehicle Re-entry Corridor Calculation Based on Particle Swarm Optimization[J]. Journal of Hunan Agricultural University, 2013, 40(2): 1-4
Authors:WEI Kun-liang  LIU Lei  WANG Yong-ji  CHANG Song-tao
Affiliation:(Department of Control Science and Engineering, Huazhong University of Science and Technology, Key Laboratory of Image Processing and Intelligent Control, Wuhan430074,China)
Abstract:This paper carried out a research on the food supply chain consisting of a small and scattered supplier and a manufacturer, in which the manufacturer made the quality inspection for the raw material and the food. The optimization models were built with the quality of the supplier and the quality of the manufacturer as the decision variables, and the influencing factors were analyzed on the optimal quality and their effect for improving the food safety in our country. According to the conclusion, some suggestions were put forward, such as to improve the ability of consumers to identify the quality of food, and to play the role of supervision and inspection of the manufacturer in the supply chain.
Keywords:the optimal quality   influencing factors   the inspection of the manufacturer
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