Demand Forecasting Method of Moving Average considering Variable Selection by Multiple Comparison Procedure
Author:
Affiliation:
1. Graduate School of International Management a.k.a. Aoyama Business School / Center for Sustainable Supply Chains Aoyama Gakuin University
2. M2Technology Co., Ltd. / Southwest Jiaotong University
Publisher
The Food System Research Association of Japan
Link
https://www.jstage.jst.go.jp/article/jfsr/30/3/30_1/_pdf
Reference43 articles.
1. 有田帝馬（2012）『入門 季節調整』東洋経済新報社．
2. Bartezzaghi, E., R. Verganti and G. Zotteri (1999a) A Simulation Framework for Forecasting Uncertain Lumpy Demand, International Journal of Production Economics 59: 499-510. https://doi.org/10.1016/S0925-5273(98)00012-7.
3. Bartezzaghi, E., R. Verganti, and G. Zotteri (1999b) Measuring the Impact of Asymmetric Demand Distributions on Inventories, International Journal of Production Economics 60-61: 395-404. https://doi.org/10.1016/S0925-5273(98)00193-5.
4. Donselaar, K. H., J. Peters, A. Jong, and R. A. C. M. Broekmeulen (2016) Analysis and Forecasting of Demand during Promotions for Perishable Item, International Journal of Production Economics 172: 65-75. https://doi.org/10.1016/j.ijpe.2015.10.022.
5. Fildes, R., K. Nikolopoulos, S. F. Crone and A. A. Syntetos (2008) Forecasting and Operational Research: A Review, Journal of the Operational Research Society, 59: 1150-1172. https://doi.org/10.1057/palgrave.jors.2602597.
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