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汽车售后配件需求预测及库存控制的研究现状 被引量:2

Research Status of Auto Parts Demand Forecast and Inventory Control
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摘要 汽车售后配件需求影响着配件的库存和销售,对需求预测及库存控制的研究现状进行分析,根据其整体研究框架,进一步对目前的汽车售后配件需求和库存等相关研究进行全面地分析,并指出未来值得关注的研究范围和方向。 The demand for auto aftermarket parts affects the inventory and sales of auto parts.Based on the analysis of the research status of demand prediction and inventory control,a further comprehensive analysis of the current research on auto aftermarket parts demand and inventory were made,and the research scope and direction worth paying attention to in the future were pointed out.
作者 曾荣 ZENG Rong(School of Intelligent Manufacturing,Jianghan University,Wuhan Hubei 430056,China)
出处 《汽车零部件》 2020年第11期85-87,共3页 Automobile Parts
基金 校高层次人才科研项目(1006/06650001)。
关键词 汽车售后配件 需求预测 库存控制 Auto parts Demand forecast Inventory control
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  • 1朱广宇,严洪森.一种基于需求景气分析和“幼稚预测”思想的需求预测模型[J].系统工程理论与实践,2004,24(5):22-33. 被引量:4
  • 2汪寿阳,余乐安,黎建强.TEI@I方法论及其在外汇汇率预测中的应用[J].管理学报,2007,4(1):21-27. 被引量:37
  • 3Farrell PJ, Ould-Haye M. Robust regression with infinite moving average errors [M] //Dependence in Probability and Statistics. Berlin: Springer Verlag, 2010: 143-157.
  • 4Freitas FD, De Souza AF, De Almeida AR. Prediction-based portfolio optimization model using neural networks [J]. Neu- rocomputing, 2009, 72 (10-12):2155-2170.
  • 5Yu L, Wang SY, Lai KK. Neural network-based mean- variance-skewness model for portfolio selection [J]. Computers Operations Research, 2008, 35 (1).. 34-46.
  • 6Pourmousavi Kani SA, Aredhali MM. Veryshort-term wind speed prediction.. A new artificial neural network-Markov chain model [J]. Energy Conversion and Management, 2011, 52 (I): 738-745.
  • 7GU JR, ZHU MC, JING LGY. Housing price fore'casting based on genetic algorithm and support vector machine [J]. Expert Systems withApplications, 2011, 38 (4), 3383-3386.
  • 8llhan Aydin, Mehmet Karakose, Ethan AI A multi-objtive ar- tifidal immune algorithm for parameter optimization in support vector machine [J]. Applied Soft Computing, 2011, 11 (1): 120-129.
  • 9陈其松,陈孝威,张欣,吴茂念.优化SVM在锅炉负荷预测中的应用[J].电子科技大学学报,2010,39(2):316-320. 被引量:2
  • 10廖伟智,孙林夫,杜平安.面向服务的汽车配件需求预测模型[J].计算机集成制造系统,2010,16(8):1778-1782. 被引量:10

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