Hierarchical control approach to a composite inventory-marketing problem

Kapsiotis, G; Tzafestas, S

dc.contributor.author	Kapsiotis, G	en
dc.contributor.author	Tzafestas, S	en
dc.date.accessioned	2014-03-01T01:09:54Z
dc.date.available	2014-03-01T01:09:54Z
dc.date.issued	1994	en
dc.identifier.issn	0921-0296	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11242
dc.subject	advertisement process	en
dc.subject	dual optimization technique	en
dc.subject	hierarchical control	en
dc.subject	Inventory-marketing problem	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Robotics	en
dc.subject.other	Algorithms	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Inventory control	en
dc.subject.other	Marketing	en
dc.subject.other	Optimization	en
dc.subject.other	Problem solving	en
dc.subject.other	Composite inventory marketing problem	en
dc.subject.other	Dual optimization technique	en
dc.subject.other	Hierarchical control	en
dc.subject.other	Production control	en
dc.title	Hierarchical control approach to a composite inventory-marketing problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF01254015	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF01254015	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	A composite inventory-marketing problem is considered and treated for the case where there exist distributed time delays in the supply and/or the advertisement process, as well as product losses at constant rates. Since in a real large-scale situation a centralized solution may be impractical, two hierarchical coordinated control algorithms are presented which are based on a proper decomposition of the overall problem. Backlogging is not permitted and the delays are assumed fixed and known. The first algorithm makes use of the dual optimization technique, whereas the second algorithm is based on a decentralized procedure which allows each of the company's departments to solve its problem individually, and then with the coordination of an upper level to obtain the overall solution. Numerical examples are included which illustrate the effectiveness of the two algorithms. © 1995 Kluwer Academic Publishers.	en
heal.publisher	Kluwer Academic Publishers	en
heal.journalName	Journal of Intelligent & Robotic Systems	en
dc.identifier.doi	10.1007/BF01254015	en
dc.identifier.isi	ISI:A1994RA99300004	en
dc.identifier.volume	11	en
dc.identifier.issue	3	en
dc.identifier.spage	293	en
dc.identifier.epage	309	en