On the empirical performance of some new neural network methods for forecasting intermittent demand
出版年份 2020 全文链接
标题
On the empirical performance of some new neural network methods for forecasting intermittent demand
作者
关键词
-
出版物
IMA Journal of Management Mathematics
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-01-28
DOI
10.1093/imaman/dpaa003
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Forecast of individual customer’s demand from a large and noisy dataset
- (2018) Paul W. Murray et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A new method to forecast intermittent demand in the presence of inventory obsolescence
- (2018) M.Z. Babai et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- An investigation on bootstrapping forecasting methods for intermittent demands
- (2018) M. Hasni et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Spare parts demand forecasting: a review on bootstrapping methods
- (2018) M. Hasni et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Event count distributions from renewal processes: fast computation of probabilities
- (2017) Rose Baker et al. IMA Journal of Management Mathematics
- Single-hidden layer neural networks for forecasting intermittent demand
- (2017) F. Lolli et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Supply chain forecasting: Theory, practice, their gap and the future
- (2016) Aris A. Syntetos et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Reproducibility
- (2016) John E. Boylan IMA Journal of Management Mathematics
- Forecast combinations for intermittent demand
- (2015) Fotios Petropoulos et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Spare parts management: Linking distributional assumptions to demand classification
- (2014) D. Lengu et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence
- (2014) Mohamed Zied Babai et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- On the performance of the base-stock inventory system under a compound Erlang demand distribution
- (2013) S. Saidane et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Intermittent demand forecasts with neural networks
- (2013) Nikolaos Kourentzes INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A systemic view of the ADIDA framework
- (2012) G. P. Spithourakis et al. IMA Journal of Management Mathematics
- Intermittent demand: Linking forecasting to inventory obsolescence
- (2011) Ruud H. Teunter et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- On the demand distributions of spare parts
- (2011) A.A. Syntetos et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis
- (2011) M. Zied Babai et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Analysis of order-up-to-level inventory systems with compound Poisson demand
- (2010) M.Z. Babai et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Comparison of a new bootstrapping method with parametric approaches for safety stock determination in service parts inventory systems
- (2010) Chenxi Zhou et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis
- (2010) K Nikolopoulos et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Determining order-up-to levels under periodic review for compound binomial (intermittent) demand
- (2009) R.H. Teunter et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Spare parts management: a review of forecasting research and extensions
- (2009) J. E. Boylan et al. IMA Journal of Management Mathematics
- Forecasting intermittent demand: a comparative study
- (2008) R H Teunter et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods
- (2007) Eric Porras et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Demand forecasting adjustments for service-level achievement
- (2007) A. A. Syntetos et al. IMA Journal of Management Mathematics
- Lumpy demand forecasting using neural networks
- (2007) Rafael S. Gutierrez et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started