Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business

Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business

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 d...

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Main Author: Ee, Khong Kie
Other Authors: Lam, Soi Hoi
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Industrial engineering
Online Access:http://hdl.handle.net/10356/5691
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-5691
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spelling sg-ntu-dr.10356-56912023-03-11T17:11:56Z Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business Ee, Khong Kie Lam, Soi Hoi School of Mechanical and Production Engineering DRNTU::Engineering::Industrial engineering 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). Master of Science (Logistics) 2008-09-17T10:56:49Z 2008-09-17T10:56:49Z 2003 2003 Thesis http://hdl.handle.net/10356/5691 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Industrial engineering
spellingShingle DRNTU::Engineering::Industrial engineering
Ee, Khong Kie
Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
description 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).
author2 Lam, Soi Hoi
author_facet Lam, Soi Hoi
Ee, Khong Kie
format Theses and Dissertations
author Ee, Khong Kie
author_sort Ee, Khong Kie
title Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
title_short Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
title_full Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
title_fullStr Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
title_full_unstemmed Comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
title_sort comparing the efficacy of different forecasting methods for demand projections in a fast food retail business
publishDate 2008
url http://hdl.handle.net/10356/5691
_version_ 1761781152715112448

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