dc.contributor.author | Doganis, P | en |
dc.contributor.author | Aggelogiannaki, E | en |
dc.contributor.author | Sarimveis, H | en |
dc.date.accessioned | 2014-03-01T01:54:49Z | |
dc.date.available | 2014-03-01T01:54:49Z | |
dc.date.issued | 2006 | en |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/27481 | |
dc.relation.uri | http://www.akademik.unsri.ac.id/download/journal/files/waset/v15-14.pdf | en |
dc.subject | Forecast Accuracy | en |
dc.subject | Forecasting Model | en |
dc.subject | Model Predictive Control | en |
dc.subject | Predictive Control | en |
dc.subject | Production Planning | en |
dc.subject | Supply Chain | en |
dc.subject | Supply Chain Management | en |
dc.subject | Time Series Forecasting | en |
dc.title | A Model Predictive Control and Time Series Forecasting Framework for Supply Chain Management | en |
heal.type | journalArticle | en |
heal.publicationDate | 2006 | en |
heal.abstract | 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 | en |
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