Using a spatial decision support system for solving the vehicle routing problem

Tarantilis, CD; Kiranoudis, CT

dc.contributor.author	Tarantilis, CD	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T01:18:28Z
dc.date.available	2014-03-01T01:18:28Z
dc.date.issued	2002	en
dc.identifier.issn	0378-7206	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15029
dc.subject	Geographical information systems	en
dc.subject	Logistics management	en
dc.subject	Spatial decision support systems	en
dc.subject	Vehicle routing problem	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Information Science & Library Science	en
dc.subject.classification	Management	en
dc.subject.other	Computer aided software engineering	en
dc.subject.other	Data reduction	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Heuristic methods	en
dc.subject.other	Interactive devices	en
dc.subject.other	Problem solving	en
dc.subject.other	Relational database systems	en
dc.subject.other	Vehicle locating systems	en
dc.subject.other	Vehicle routing	en
dc.subject.other	Decision support systems	en
dc.title	Using a spatial decision support system for solving the vehicle routing problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0378-7206(01)00103-3	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0378-7206(01)00103-3	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Recent technological advances in Operational Research and Information Technology have enabled the development of high quality spatial decision support systems (SDSS). They constitute a new scientific area of information systems applications developed to support semi-structured or unstructured decisions, paying much attention to the spatial dimension of data to be analyzed, such as the location and shape of, and relationships among, geographic features. This paper presents a SDSS to coordinate and disseminate tasks and related information for solving the vehicle routing problem (VRP) using a metaheuristic method termed: backtracking adaptive threshold accepting (BATA). Its architecture involves an integrated framework of geographical information system (GIS) and a relational database management system (RDBMS) equipped with interactive communication capabilities between peripheral software tools. The SDSS was developed for Windows 98 platforms, focusing on the detailed road network of Athens. (C) 2002 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Information and Management	en
dc.identifier.doi	10.1016/S0378-7206(01)00103-3	en
dc.identifier.isi	ISI:000173575600003	en
dc.identifier.volume	39	en
dc.identifier.issue	5	en
dc.identifier.spage	359	en
dc.identifier.epage	375	en