%0 Journal Article
	%A Philip Doganis and  Eleni Aggelogiannaki and  Haralambos Sarimveis
	%D 2008
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 15, 2008
	%T A Model Predictive Control and Time Series Forecasting Framework for Supply Chain Management
	%U https://publications.waset.org/pdf/6113
	%V 15
	%X Model Predictive Control has been previously applied
to supply chain problems with promising results; however hitherto
proposed systems possessed no information on future demand. A
forecasting methodology will surely promote the efficiency of
control actions by providing insight on the future. A complete supply
chain management framework that is based on Model Predictive
Control (MPC) and Time Series Forecasting will be presented in this
paper. The proposed framework will be tested on industrial data in
order to assess the efficiency of the method and the impact of
forecast accuracy on overall control performance of the supply chain.
To this end, forecasting methodologies with different characteristics
will be implemented on test data to generate forecasts that will serve
as input to the Model Predictive Control module.
	%P 315 - 319