A robust forecasting system, based on the combination of two simple moving averages

Journal of the Operational Research Society

Volumn 50, Issue 12, 1999, Pages 1199-1204

  Johnston, F R ^a   Boylan, J E ^b   Shale, E ^a   Meadows, M ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b BUCKINGHAMSHIRE NEW UNIVERSITY   (United Kingdom)

Author keywords

Combinations of forecasts; Forecasting; Moving averages; Time series

Indexed keywords

COMPUTER SIMULATION; PROCESS ENGINEERING; TIME SERIES ANALYSIS;

SIMPLE MOVING AVERAGES;

INVENTORY CONTROL;

EID: 0033284368     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2600824     Document Type: Article

References (8)

1. Harrison PJ (1967). Exponential smoothing and short-term sales forecasting. MgmtSci 13: 821-842.
2. Johnston FR, Boylan JE, Meadows M and Shale E (1998). Some properties of a simple moving average when applied to forecasting a time series. J Opl Res Soc 50: 1261-1265.
3. Johnston FR and Boylan JE (1996). Forecasting for Items with Intermittent Demand. J Opl Res Soc 47: 113-121.
4. Willemain TR Smart, CN, Shocker JH and Desautels PA (1994). Forecasting intermittent demand: a comparative evaluation of Croston’s method. Int J of Forecasting 10: 529-538.
5. Johnston FR and Boylan JE (1996). Forecasting for intermittent demand, a comparative evaluation of Croston’s method. Int J of Forecasting 12: 297-298.
6. Sani B and Kingsman BG (1997). Selecting the best periodic inventory control and demand forecasting methods for low demand items. J Opl Res Soc 48: 700-713.
7. Croston JD (1972). Forecasting and stock control for intermittent demands. Oper Res Q 23: 289-304.
8. Clemen RJ (1989). Combining forecasts: a review and annotated bibliography. Int J of Forecasting 5: 559-584.