Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/5691
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dc.contributor.authorEe, Khong Kieen_US
dc.date.accessioned2008-09-17T10:56:49Z
dc.date.available2008-09-17T10:56:49Z
dc.date.copyright2003en_US
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/10356/5691
dc.description.abstractIn 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).en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Industrial engineering
dc.titleComparing the efficacy of different forecasting methods for demand projections in a fast food retail businessen_US
dc.typeThesisen_US
dc.contributor.supervisorLam, Soi Hoien_US
dc.contributor.schoolSchool of Mechanical and Production Engineeringen_US
dc.description.degreeMaster of Science (Logistics)en_US
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