Management of supply chain: an alternative modelling technique for forecasting

The tools of forecasting (software) in general business use are still primitive in view of the strides made by research. Hence, promoting advances in forecasting to aid predictive analytics is deemed a worthwhile endeavour and is the purpose of this paper. Such tools may further reduce uncertainty...

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Bibliographic Details
Main Authors: Datta, Shoumen, Granger, C W J, Barari, M, Gibbs, T
Other Authors: Massachusetts Institute of Technology. Auto-ID Laboratory
Format: Article
Language:English
Published: Journal of the Operational Research Society 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/41906
Description
Summary:The tools of forecasting (software) in general business use are still primitive in view of the strides made by research. Hence, promoting advances in forecasting to aid predictive analytics is deemed a worthwhile endeavour and is the purpose of this paper. Such tools may further reduce uncertainty and volatility characteristic of global trade. The relationship of various business parameters that may change and impact decisions are so abundant that any credible attempt to drive meaningful associations are in demand by global businesses. This paper proposes some modifications to adapt an already advanced forecasting technique (GARCH) with the aim to develop it as a decision support tool applicable to a wide variety of operations including supply chain management.