Warehouse sizing and inventory scheduling for multiple stock-keeping products

Petinis, VV; Tarantilis, CD; Kiranoudis, CT

dc.contributor.author	Petinis, VV	en
dc.contributor.author	Tarantilis, CD	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T01:23:20Z
dc.date.available	2014-03-01T01:23:20Z
dc.date.issued	2005	en
dc.identifier.issn	0020-7721	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16910
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Computer programming	en
dc.subject.other	Inventory control	en
dc.subject.other	Logistics	en
dc.subject.other	Scheduling	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Inventory scheduling	en
dc.subject.other	Warehouse sizing	en
dc.subject.other	Warehouses	en
dc.title	Warehouse sizing and inventory scheduling for multiple stock-keeping products	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/0020772042000320795	en
heal.identifier.secondary	http://dx.doi.org/10.1080/0020772042000320795	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	In this paper, a commercial problem of enterprise logistics nature called multi-product warehouse sizing problem is formulated and solved. The optimal warehouse inventory level and the order points are determined by minimizing the total inventory ordering and holding costs for a specific time period. The problem is formulated as an appropriate mathematical model of NLP nature and solved using appropriate numerical optimization techniques (successive quadratic programming procedures). The entire mathematical background for formulating the problem and finding the optimal solution to it is presented and appropriately addressed. The model is also illustrated with the help of a numerical case study where the sensitivity of the model parameters involved is given through appropriate figures. © 2005 Taylor & Francis Ltd.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	International Journal of Systems Science	en
dc.identifier.doi	10.1080/0020772042000320795	en
dc.identifier.isi	ISI:000226584400005	en
dc.identifier.volume	36	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	47	en