Design of an IT-driven decision support system for vehicle routing and scheduling

Gayialis, SP; Tatsiopoulos, IP

dc.contributor.author	Gayialis, SP	en
dc.contributor.author	Tatsiopoulos, IP	en
dc.date.accessioned	2014-03-01T01:20:08Z
dc.date.available	2014-03-01T01:20:08Z
dc.date.issued	2004	en
dc.identifier.issn	0377-2217	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15847
dc.subject	Decision support system	en
dc.subject	Information systems integration	en
dc.subject	Oil industry	en
dc.subject	Routing	en
dc.subject	Supply chain management	en
dc.subject.classification	Management	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Decision support systems	en
dc.subject.other	Information technology	en
dc.subject.other	Scheduling	en
dc.subject.other	Vehicles	en
dc.subject.other	Vehicle routing	en
dc.subject.other	Operations research	en
dc.title	Design of an IT-driven decision support system for vehicle routing and scheduling	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0377-2217(03)00031-6	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0377-2217(03)00031-6	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper presents the development of a decision support system used by an oil downstream company for routing and scheduling purposes. The studied problem refers to a complex delivery process of oil products from a number of distribution centers to all customers. The latest rapid advance of operations research (OR) applications, in the form of advanced planning and scheduling (APS) systems, has shown that OR algorithms can be applied in practice if (a) they are embodied in packaged information technology (IT) solutions, (b) the interface problems to mainstream ERP software applications are solved. In this study the utilisation of advanced IT systems supports effectively the planning and management of distribution operations. The combination of a supply chain management (SCM) application with a geographical information system (GIS) integrated with an enterprise resource planning (ERP) software resulted to this innovative decision support tool. The objectives of this new tool are: optimum use of the distribution network resources, transportation cost reduction and customer service improvement. The paper concludes with the benefits of the new system, emphasising at how new technologies can support transportation processes with the help of operations research algorithms embedded in software applications. (C) 2003 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	European Journal of Operational Research	en
dc.identifier.doi	10.1016/S0377-2217(03)00031-6	en
dc.identifier.isi	ISI:000185806500007	en
dc.identifier.volume	152	en
dc.identifier.issue	2	en
dc.identifier.spage	382	en
dc.identifier.epage	398	en