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1)  Goods need forecasting
物资需求预报
2)  material demand
物资需求
1.
A model of laying in stock strategy for integrated production enterprises is established based on the establishment of material demand model and the calculation of material demand, and the solution of the model is proposed.
综合考虑综合性生产企业原料使用中存在的间接消耗和循环消耗情况、企业进货受到的多种约束条件的限制以及多种物资的批量折扣的存在 ,在建立企业物资需求模型、进行物资需求量计算的基础上 ,建立了综合性生产企业进货决策模型 ,并提出了模型的求解方法———调整法 ,给出了算例 。
2.
A neural network expert system for forecasting material demand by integrating the GURU expert system with Neuro Shell neural network shell has been developed.
分析了我国多品种中小批量机械加工企业物资需求的特点和构成,将人工神经网络和专家系统有机地结合起来,设计并开发了一个辅助企业物资需求预测的人工神经网络专家系统。
3.
A model of laying in stock strategy for integrated production business is established based on the establishment of material demand model and the calculation of the material demand,and proceeding to the next step,two alternatives decomposition metho.
综合考虑一体化生产企业原料使用中存在的间接消耗和循环消耗情况、企业进货受到的多种约束条件的限制以及多种物资的批量折扣的存在,在建立企业物资需求模型、进行物资需求量计算的基础上,建立了一体化生产企业进货决策模型,进而提出了模型的两种可供选用的求解方法:分解法、调整法。
3)  forecasting the fund requirement
资金需求预测
4)  prediction of user's resource demand
资源需求量预测
5)  Logistics Demand Forecast
物流需求预测
1.
Application of Residual Error Gray Forecast Model on Logistics Demand Forecast;
残差灰色预测模型在物流需求预测中的应用
2.
The paper analyzed the relationship between logistics and social reproduction circulation, expounded the characteristic and steps of logistics demand forecast.
本文分析物流与社会再生产流通循环关系,阐释城市物流需求预测的特点、步骤,并结合参与项目“佛山市物流规划与物流信息平台研究”,再采用回归和灰色模型相结合的不确定定量预测方法,取得较好预测效果。
3.
Combined with the characteristics of four-step method of traffic planning,the four-step method of traffic planning is applied to logistics demand forecast of urban logistics planning,and the methods and models are discussed and studied respectively in each step.
结合交通规划四阶段法的特点,在城市物流规划中的物流需求预测基础上,研究了物流需求分阶段的预测方法,并对物流需求预测模型进行了应用分析,最后基于四阶段物流需求预测,论述了相应的城市物流调查与分析的内容和方法。
6)  logistics demand forecasting
物流需求量预测
1.
Then it briefly describes the general method and process of logistics system forecast, and compares and analyzes many kinds of common logistics forecast methods, and establishes a logistics demand forecasting models based on Grey Residual-Back Propagation Neural Netwo
物流需求量预测是第三方汽车物流企业有效规划运能、制定目标和计划,提高企业的核心竞争力的前提条件。
补充资料:短期天气预报(见天气预报和天气图预报)


短期天气预报(见天气预报和天气图预报)


u。。,,,:‘,anq,yubao短期天气预报见关匀布绍升,二,二一一
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