The methods of forecasting demand for new products are in many ways different from those for established products. Since the product is new to the consumers, an intensive study of the product and its likely impact upon other products of the same group provides a key to an intellig...
Demand Forecasting:Evidence-based Methods. J. Scott Armstrong,Kesten C. Green. . 2005J. S. Armstrong & K. C. Green., "Demand Forecasting: evidence-based methods", Book Chapter: Oxford handbook in Managerial Economics", C. R. Thomas and W. F. Shughart II (Eds.), London: Oxford, ...
Models of forecasting of market demand are analysed in the article and the general principles of these models formation in the context of competitive marke... V Pilinkien - 《Inzinerine Ekonomika Engineering Economics》 被引量: 15发表: 2008年 ...
百度试题 题目___ forecasting methods use historical demand to make a forecast.相关知识点: 试题来源: 解析 Time-series 反馈 收藏
Forecasting the future demand is crucial for supply chain planning. In this chapter, the fuzzy methods that can be used to forecast future by historical demand information are explained. The examined methods include fuzzy time series, fuzzy regression, adaptive network-based fuzzy inference system and...
methode statistique, demande, vegetables, demand, encuestas al consumidor, vieillissement, hortalizas, legume, metodos estadisticos, envejecimiento, age structure, enquete aupres des consommateurs, tecnicas de prediccion, aging, household consumption, statistical methods, estructura por edades, consommation ...
investigate different businessforecastingmethods‚ and demonstrate the benefits of their use for a specific organization. We have learned thatdemandforecastinginvokes the processes of determining exactly what service/products are needed‚ in what quantity‚ and in what amount of time. Organizations tha...
International Journal of Forecasting (2005) R.D. Snyder Forecasting sales of slow and fast moving inventories European Journal of Operational Research (2002) A.A. Syntetos et al. On the bias of intermittent demand estimates International Journal of Production Economics (2001)View more references ...
Numerical demand-forecasting methods are based on time series (eg exponential smoothing, transfer- function models) or on causal relationships (eg multivariable regression analysis, trip-generation models). Qualitative methods depend on informed judgement (eg morphological analysis, the Delphi technique). ...
In this paper, econometric and fuzzy methods of forecasting airport demand are suggested, in relation to the airport of Rhodes. First, the relationship between transport and economic activity is analyzed. The appropriate models for demand forecast for tourist airports with high seasonal demands are an...