Please use this identifier to cite or link to this item:
Title: Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
Authors: Ee, Khong Kie
Keywords: DRNTU::Engineering::Industrial engineering
Issue Date: 2003
Abstract: In the dissertation, the importance of forecasting in the field of logistics, especially procurement is highlighted. Various forecasting techniques, including na?ve, simple moving average, exponential smoothing, day in week and regression analysis, are discussed and compared. The parameter used to determine the optimal model is the Mean Squared Error (MSE).
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
4.49 MBAdobe PDFView/Open

Page view(s) 20

Updated on Jan 26, 2021


Updated on Jan 26, 2021

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.