TY  - CHAP
AB  - This study examines the use of forecast combination to improve the accuracy of forecasts of cumulative demand. A forecast combination methodology based on least absolute value (LAV) regression analysis is developed and is applied to partially accumulated demand data from an actual manufacturing operation. The accuracy of the proposed model is compared with the accuracy of common alternative approaches that use partial demand data. Results indicate that the proposed methodology outperforms the alternative approaches.
VL  - 7
SN  - 978-0-85724-201-3, 978-0-85724-202-0/1477-4070
DO  - 10.1108/S1477-4070(2010)0000007009
UR  - https://doi.org/10.1108/S1477-4070(2010)0000007009
AU  - Utley Joanne S.
AU  - Gaylord May J.
ED  - Kenneth D. Lawrence
ED  - Ronald K. Klimberg
PY  - 2010
Y1  - 2010/01/01
TI  - A comparison of combination forecasts for cumulative demand
T2  - Advances in Business and Management Forecasting
T3  - Advances in Business and Management Forecasting
PB  - Emerald Group Publishing Limited
SP  - 97
EP  - 110
Y2  - 2024/09/23
ER  -