Adjusting supply chain forecasts for short-term temperature estimates: A case study in a Brewing company

IMA Journal of Management Mathematics

Volumn 24, Issue 1, 2013, Pages 79-88

  Nikolopoulos, Konstantinos ^a   Fildes, Robert ^b  

^a BANGOR UNIVERSITY   (United Kingdom)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

adjustments; decomposition; exponential smoothing; forecasting; judgemental; temperature effects

Indexed keywords

ADJUSTMENT MECHANISMS; ADJUSTMENTS; DECOMPOSITION APPROACH; ECONOMETRIC MODEL; EMPIRICAL FINDINGS; EXPONENTIAL SMOOTHING; JUDGEMENTAL; PROMOTIONAL ACTIVITIES; PUBLIC HOLIDAYS; TEMPERATURE CHANGES; WEATHER EFFECT; WEATHER FORECASTS;

DECOMPOSITION; FERMENTATION; FORECASTING; INDUSTRY; SALES; SUPPLY CHAINS; THERMAL EFFECTS;

WEATHER FORECASTING;

EID: 84871214172     PISSN: 1471678X     EISSN: 14716798     Source Type: Journal    
DOI: 10.1093/imaman/dps006     Document Type: Article

References (21)

1. ALBERTSON, K. & AYLEN, J. (1996) Modelling the Great Lakes freeze: forecasting and seasonality in the market for ferrous scrap. Int. J. Forecasting, 12, 345-359.
2. ALBERTSON, K. & AYLEN, J. (2003) Forecasting the behaviour of manufacturing inventory. Int. J. Forecasting, 19, 299-311.
3. BOYLAN, J. E. & SYNTETOS, A. A. (2010) Spare parts management: a review of forecasting research and extensions. IMA J. Manage. Math., 21, 227-237.
4. CAO, M. & WEI, J. (2005) Stock market returns: a note on temperature anomaly. J. Bank. Financ., 29, 1559-1573.
5. DUNLOP, J. (2001) Analysing the impact of weather n take home sales, BrewCo UK. Lancaster University Management School, Department of Management Science Library.
6. FILDES, R. & GOODWIN, P. (2007) How organizations can improve their use of management judgment in forecasting. Interfaces, 37, 570-576.
7. HIRSHLEIFER, D. & SHUMWAY, T. (2003) Good day sunshine: stock returns and the weather. J. Financ., 58, 1009-1032.
8. JOHNSTON, F. R. & HARRISON, P. J. (1980) An application of forecasting in the alcoholic drinks industry. J. Oper. Res. Soc., 31, 699-709.
9. JUSELIUS, K. (1985) Modelling short- and long-term effects in the aggregate demand for soft drinks. Int. J. Forecast., 1, 253-272.
10. KOKSALAN, M., ERKIP, N. & MOSKOWITZ, H. (1999) Explaining beer demand: a residual modeling regression approach using statistical process control. Int. J. Prod. Econ., 58, 265-276.
11. KOLASSA, S. & MARTIN, R. (2011) Percentage errors can ruin your day (and rolling the dice shows how). Foresight Int. J. Appl. Forecast., 2011, 21-27.
12. LESKINEN, E. & TERASVIRTA, T. (1976) Forecasting the consumption of alcoholic beverages in Finland: a box-Jenkins approach. Eur. Econ. Rev., 8, 349-369.
13. LOEWENSTEIN, G. F., ELKE, U. W., CHRISTOPHER, K. H. & WELCH, N. (2001) Risk as feelings. Psychol. Bull., 127, 267-286.
14. PUGH, N. (1999) Measuring the impact of weather conditions upon beer sales, BrewCo. Lancaster University Management School, Department of Management Sciences Library.
15. SAUNDERS, E. M. J. (1993) Stock prices and wall street weather. Am. Econ. Rev., 83, 1337-1345.
16. SKIADA, M. (1998) Improving Sales Forecasts Technical Report BrewCo. Lancaster University Management School, Department of Management Science Library.
17. SYNTETOS, A., NIKOLOPOULOS, K. & BOYLAN, J. E. (2010) Judging the judges through accuracy-implication metrics: the case of inventory forecasting. Int. J. Forecast., 26, 134-143.
18. SYNTETOS, A. A. & BOYLAN, J. E. (2008) Demand forecasting for inventory management: demand forecasting adjustments for service-level achievement. IMA J. Manage. Math., 19, 175-192.
19. TIMMERMANN, A. & GRANGER, C. W. J. (2004) Efficient market hypothesis and forecasting. Int. J. Forecast., 20, 15-27.
20. WATSON, D. (2000) Situational and environmental influence on mood. Mood and Temperament, Chapter 3. New York: Guilford Press, pp. 62-103.
21. XIAO, C. (2004) BrewCo UK: analysing the impact of weather in the on trade. Lancaster University Management School, Department of Management Sciences Library.