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An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis
2011
Journal of the Operational Research Society
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An Aggregate-Disaggregate Intermittent Demand Approach (ADIDA) to forecasting With respect to temporal aggregation, we must distinguish between overlapping and nonoverlapping cases. ...
The interaction between temporal and cross-sectional forecasting is also an exciting area of research. ...
doi:10.1057/jors.2010.32
fatcat:tj5ueinekzdaxk5b65pbzdj6si
Supply chain forecasting: Theory, practice, their gap and the future
2016
European Journal of Operational Research
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ABSTRACT Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating demand requirements at one echelon. ...
It involves complex issues such as supply chain coordination and sharing of information between multiple stakeholders. ...
, for allowing us to reuse material from the "Hierarchical Forecasting" Guidebook for sub-section 6.2. ...
doi:10.1016/j.ejor.2015.11.010
fatcat:duc2wyqkqvfqvaokfm3amz5lbu
A systemic view of the ADIDA framework
2012
IMA Journal of Management Mathematics
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This paper is an attempt to gain mathematical insight into the ADIDA (Aggregate-Disaggregate Intermittent Demand Approach) forecasting framework, by formulating it as a multi-rate signal processing system ...
Subsequently, theoretical and practical evidence are combined to draw useful conclusions about the framework's performance and make suggestions on its application. ...
used with non-intermittent demand. ...
doi:10.1093/imaman/dps031
fatcat:ixovrxgypzblddnmm5auincwf4
The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting
2021
Forecasting
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We describe and discuss approaches that are based on the manipulation of local curvatures (theta method), temporal aggregation, bootstrapping, sub-seasonal and incomplete time series. ...
We present the concept of the "wisdom of the data" and how data manipulation can result in information extraction which, in turn, translates to improved forecast accuracy by aggregating (combining) forecasts ...
Acknowledgments: The first author thanks Evelyn and Freddy for their support. ...
doi:10.3390/forecast3030029
fatcat:pk2rfozikngxxctmjc44idspga
The Impact of Aggregation Level on Lumpy Demand Management
[chapter]
2011
Service Parts Management
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Several methods have been proposed to cope with this particular kind of problem and improvements have been proved compared to classical forecasting techniques. ...
in terms of service and inventory level. ...
and demand is intermittent). ...
doi:10.1007/978-0-85729-039-7_4
fatcat:oh5cavj4yjh4tk3zmabuvhcsga
Non-stationary demand forecasting by cross-sectional aggregation
2015
International Journal of Production Economics
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In this paper the relative effectiveness of top-down (TD) versus bottom-up (BU) approaches is compared for cross-sectionally forecasting aggregate and sub-aggregate demand. ...
Valuable insights are offered to demand planners and the paper closes with an agenda for further research in this area. (Bahman ROSTAMI-TABAR), SyntetosA@cardiff.ac.uk (Aris A. ...
The problem with the separation of the cross-sectional and temporal dimensions is that the right level of cross-sectional aggregation may vary across time frequencies and vice versa. ...
doi:10.1016/j.ijpe.2015.10.001
fatcat:iqrios6mdrcwlhvpa5of5p4t6e
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications
[article]
2022
arXiv
pre-print
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Intermittent demand forecasting is a ubiquitous and challenging problem in operations and supply chain management. ...
The proposed framework leads to a significant improvement in forecast accuracy and offers the potential of flexibility and interpretability in inventory control. ...
GJJ2019163) and the Emerging Interdisciplinary Project of CUFE. ...
arXiv:2204.08283v1
fatcat:2eqojy232fdkvo6dajwd5ox4b4
Forecast quality improvement with Action Research: A success story at PharmaCo
2018
International Journal of Forecasting
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A successful action research intervention in the Production Planning and Control work unit improved the use and understanding of the forecast function, contributing to substantial saving, enhanced communication ...
Abstract There is a gap in forecasting research surrounding the theory of integrating and improving forecasting in practice. ...
Acknowledgements and Funding ...
doi:10.1016/j.ijforecast.2018.02.005
fatcat:t557tdnkt5gmxisfwqkdjw7tse
Retail forecasting: Research and practice
2019
International Journal of Forecasting
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Forecasting with temporally aggregated demand signals in a retail supply chain. ...
sales and potential demand. ...
For more detail, see Tan and Karabati (2004) who provided a review on the estimation of demand distributions with unobservable lost sales for inventory control. ...
doi:10.1016/j.ijforecast.2019.06.004
fatcat:qrrydkizzjg3jmuq7tnpxtlloa
Multi-period portfolio selection with drawdown control
2018
Annals of Operations Research
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To illustrate our method's ability to improve forecasts, we compare our method to competitor methods. We include two sets of studies: one with simulated data and one with real data. ...
In order to produce the weekly demand forecasts, three years of historical weekly factory sales data and weekly wholesaler sales, ending inventory and receipts for the same time period are used. ...
We discuss the obtained results from the business perspective covering forecasts applications in the inventory optimization and demand planning areas. ...
doi:10.1007/s10479-018-2947-3
fatcat:haworusnrfcqvlmkmbidfwb5wu
Forecasting: theory and practice
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2012.03854v3 fatcat:selq6qi5fjc6rp7rigdl2y7e3iOther Versions
We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. ...
The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. ...
Methods for intermittent demand 2.8.1. Parametric methods for intermittent demand forecasting 64 Demand forecasting is the basis for most planning and control activities in any organisation. ...
arXiv:2012.03854v4
fatcat:p32c67sy65cfdejq7ndfs3g7dm
MENENTUKAN JUMLAH PRODUKSI KAYU BARE CORE MENGGUNAKAN METODE PERENCANAAN ZERO INVENTORY
2018
Jurnal Logistik Indonesia
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Through the zero inventory method, company will only produce goods that are needed by the consumers.The number of the work force will increase when the demand is increasing and will lower the work force ...
A timber factory that produces bare core in the difficulty to deal with the challenge which is caused by the amount of the work forces that are not proportional with the goods which are being produced, ...
temporal and cross-sectional aggregation and disaggregation methods yang mengkaji metode peramalan permintaan intermiten dan membandingkan beberapa metode perkiraan agregasi dan disaggregasi temporal ...
doi:10.31334/jli.v2i2.312
fatcat:uh5zk77qsfedldcvfeqmzgqcnq
25 years of time series forecasting
2006
International Journal of Forecasting
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We conclude with comments on possible future research directions in this field. ...
During this period, over one third of all papers published in these journals concerned time series forecasting. ...
We also thank two anonymous referees and the editor for many helpful comments and suggestions that resulted in a substantial improvement of this manuscript. ...
doi:10.1016/j.ijforecast.2006.01.001
fatcat:o46gaxjojbc6rknhco7ylls5yu
25 Years of IIF Time Series Forecasting: A Selective Review
2005
Social Science Research Network
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We conclude with comments on possible future research directions in this field. ...
We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982 International Journal of Forecasting ...
Harvey & Snyder (1990) proposed some continuous-time structural models for use in forecasting lead time demand for inventory control. ...
doi:10.2139/ssrn.748904
fatcat:o6ngf2xqf5fu5lqupf3rro6ziq
Developing a common approach for classifying building stock energy models
2020
Renewable & Sustainable Energy Reviews
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The new classification framework will be complemented by a reporting protocol and online registry of existing models as part of ongoing work in Annex 70 to increase the interpretability and utility of ...
The quadrant scheme is unique from previous classification approaches in its non-hierarchical organization, coverage of and ability to incorporate emerging modeling techniques, and treatment of additional ...
Acknowledgments The authors gratefully acknowledge the strong support of Annex 70 from the International Energy Agency Energy in Buildings and Commu- ...
doi:10.1016/j.rser.2020.110276
fatcat:f6z3fu4lbjdvtb3i3s7lmp2mji
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