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An adaptive model predictive control configuration for production-inventory systems

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dc.contributor.author Aggelogiannaki, E en
dc.contributor.author Doganis, P en
dc.contributor.author Sarimveis, H en
dc.date.accessioned 2014-03-01T01:27:51Z
dc.date.available 2014-03-01T01:27:51Z
dc.date.issued 2008 en
dc.identifier.issn 0925-5273 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18611
dc.subject Bullwhip effect en
dc.subject Inventory control en
dc.subject Model adaptation en
dc.subject Model predictive control en
dc.subject Production systems en
dc.subject.classification Engineering, Industrial en
dc.subject.classification Engineering, Manufacturing en
dc.subject.classification Operations Research & Management Science en
dc.subject.other Adaptive control systems en
dc.subject.other Inventory control en
dc.subject.other Least squares approximations en
dc.subject.other Mathematical models en
dc.subject.other Bullwhip effect en
dc.subject.other Inventory drift en
dc.subject.other Production inventory systems en
dc.subject.other Predictive control systems en
dc.title An adaptive model predictive control configuration for production-inventory systems en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ijpe.2008.01.003 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ijpe.2008.01.003 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract In this paper, an adaptive model predictive control (MPC) configuration is proposed for the identification and control of production-inventory systems. The time-varying dynamic behavior of the production process is approximated by an adaptive Finite Impulse Response (FIR) model. The well-known recursive least-squares (RLS) method is used for the online identification of the model coefficients. The adapted model along with a smoothed estimation of the future customer demand are used to predict inventory levels over the optimization horizon. The efficiency of the proposed scheme is evaluated regarding its capability to eliminate the inventory drift. The performance of the method with respect to the bullwhip effect is also considered and studied in the paper. Comparison with non-adaptive control approaches illustrates the advantages of the proposed method. (C) 2008 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName International Journal of Production Economics en
dc.identifier.doi 10.1016/j.ijpe.2008.01.003 en
dc.identifier.isi ISI:000257818300014 en
dc.identifier.volume 114 en
dc.identifier.issue 1 en
dc.identifier.spage 165 en
dc.identifier.epage 178 en


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