An adaptive memory programming method for risk logistics operations

Tarantilis, CD; Kiranoudis, CT

dc.contributor.author	Tarantilis, CD	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T01:19:53Z
dc.date.available	2014-03-01T01:19:53Z
dc.date.issued	2004	en
dc.identifier.issn	0020-7721	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15746
dc.subject	Adaptive Memory Programming	en
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	Database systems	en
dc.subject.other	Ground vehicles	en
dc.subject.other	Information analysis	en
dc.subject.other	Logistics	en
dc.subject.other	Optimization	en
dc.subject.other	Project management	en
dc.subject.other	Risk assessment	en
dc.subject.other	Strategic planning	en
dc.subject.other	Digitized spatial information	en
dc.subject.other	Spatial data adoption	en
dc.subject.other	Vehicle routeing problem (VRP)	en
dc.subject.other	Decision support systems	en
dc.title	An adaptive memory programming method for risk logistics operations	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/00207720412331285986	en
heal.identifier.secondary	http://dx.doi.org/10.1080/00207720412331285986	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper presents a decision support system (DSS) that enables logistics planners of a well-known bank to design intra-city safe delivery routes, using an intelligent metaheuristic method and exploiting risk methodologies and spatial data information. The DSS routes minimize the probability of successful vehicle robbery at a certain point of the road network and satisfy all operational constraints of the distribution problem examined. The proposed DSS was implemented to an actual banking environment and the results obtained by this real-life application are reported.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	International Journal of Systems Science	en
dc.identifier.doi	10.1080/00207720412331285986	en
dc.identifier.isi	ISI:000224862300003	en
dc.identifier.volume	35	en
dc.identifier.issue	10	en
dc.identifier.spage	579	en
dc.identifier.epage	590	en