Temporal big data for tactical sales forecasting in the tire industry

Interfaces

Volumn 48, Issue 2, 2018, Pages 121-129

  Sagaert, Yves R ^a   Aghezzaf, El Houssaine ^a,c   Kourentzes, Nikolaos ^d   Desmet, Bram ^b  

^a GHENT UNIVERSITY   (Belgium)

^b Sluisweg 1   (Belgium)

^c FLANDERS MAKE   (Belgium)

^d LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Forecasting; Regression; Supply chain planning; Temporal big data; Time series

Indexed keywords

EID: 85045201528     PISSN: 00922102     EISSN: 1526551X     Source Type: Journal    
DOI: 10.1287/inte.2017.0901     Document Type: Editorial

References (13)

1. Efron B, Hastie T, Johnstone I, Tibshirani R (2004) Least angle regression. Ann. Statist. 32(2):407–499.
2. Fildes R, Goodwin P (2007) Against your better judgment? How organizations can improve their use of management judgment in forecasting. Interfaces 37(6):570–576.
3. Fildes R, Nikolopoulos K, Crone SF, Syntetos AA (2008) Forecasting and operational research: A review. J. Oper. Res. Soc. 59(9): 1150–1172.
4. Friedman J, Hastie T, Tibshirani R (2001) The Elements of Statistical Learning (Springer, Berlin).
5. Goodwin P, Wright G (2010) The limits of forecasting methods in anticipating rare events. Tech. Forecasting Soc. Change 77(3): 355–368.
6. Hosoda T, Naim MN, Disney SM, Potter A (2008) Is there a benefit to sharing market sales information? Linking theory and practice. Comput. Indust. Engrg. 54(2):315–326.
7. Petropoulos F, Fildes R, Goodwin P (2016) Do “big losses” in judgmental adjustments to statistical forecasts a ect experts’ behaviour? Eur. J. Oper. Res. 249(3):842–852.
8. Russom P (2011) Big data analytics. TDWI Best Practices Report, Fourth Quarter (The Data Warehousing Institute (TDWI), Renton, WA).
9. Tibshirani R (1996) Regression shrinkage and selection via the lasso. J. Roy. Statist. Soc., Ser. B 58(1):267–288.
10. Trapero JR, Kourentzes N, Fildes R (2012) Impact of information exchange on supplier forecasting performance. Omega 40(6): 738–747.
11. Trapero JR, Pedregal DJ, Fildes R, Kourentzes N (2013) Analysis of judgmental adjustments in the presence of promotions. Internat. J. Forecasting 29(2):234–243.
12. Verleysen M, Fran ois D (2005) The curse of dimensionality in data mining and time series prediction. Cabestany J, Prieto A, Sandoval F, eds. Computational Intelligence and Bioinspired Systems (Springer, Berlin), 758–770.
13. Weller M, Crone S (2012) Supply chain forecasting: Best practices and benchmarking study. Accessed June 15, 2017, https://www.lancaster.ac.uk/media/lancaster-university/content-assets/ documents/lums/forecasting/practitionerpapers/Weller_Crone _Techical_Report_Supply_Chain_Forecasting_Best_Practices_and _Benchmarking_Study.pdf.