An adaptive model predictive control configuration for production-inventory systems

Aggelogiannaki, E; Doganis, P; Sarimveis, H

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