An integrated local search method for inventory and routing decisions

Zachariadis, EE; Tarantilis, CD; Kiranoudis, CT

dc.contributor.author	Zachariadis, EE	en
dc.contributor.author	Tarantilis, CD	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T01:29:50Z
dc.date.available	2014-03-01T01:29:50Z
dc.date.issued	2009	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19365
dc.subject	Inventory	en
dc.subject	Metaheuristics	en
dc.subject	Routing	en
dc.subject	Stochastic optimization	en
dc.subject	Tabu Search	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Algorithmic frameworks	en
dc.subject.other	Constant rates	en
dc.subject.other	Customer demands	en
dc.subject.other	Distribution systems	en
dc.subject.other	Inventory	en
dc.subject.other	Inventory holdings	en
dc.subject.other	Inventory-routing	en
dc.subject.other	Local search methods	en
dc.subject.other	Local search operators	en
dc.subject.other	Metaheuristics	en
dc.subject.other	Product demands	en
dc.subject.other	Routing	en
dc.subject.other	Routing decisions	en
dc.subject.other	Solution approaches	en
dc.subject.other	Stochastic optimization	en
dc.subject.other	Transportation costs	en
dc.subject.other	Transportation-logistics	en
dc.subject.other	Vehicle fleets	en
dc.subject.other	Automobile parts and equipment	en
dc.subject.other	Fleet operations	en
dc.subject.other	Random processes	en
dc.subject.other	Supply chains	en
dc.subject.other	Transportation routes	en
dc.subject.other	Tabu search	en
dc.title	An integrated local search method for inventory and routing decisions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.eswa.2009.01.069	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.eswa.2009.01.069	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	The present article studies an inventory routing model which integrates two important components of the supply chain: transportation logistics and inventory control. The distribution system examined consists of customers that face product demand at a deterministic and constant rate. Customer demand is satisfied by a fixed vehicle fleet located at the central depot. The aim of the problem is to determine the timing and size of the replenishment services together with the vehicle routes, so that the total transportation and inventory holding cost of the system is minimized. In methodological terms, we propose a solution approach applying two innovative local search operators for jointly dealing with the inventory and routing aspects of the examined problem, and Tabu Search for further reducing the transportation costs. The proposed algorithmic framework was tested on a set of new benchmark instances of various scales. It produced satisfactory results both in terms of effectiveness and robustness. (C) 2009 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Expert Systems with Applications	en
dc.identifier.doi	10.1016/j.eswa.2009.01.069	en
dc.identifier.isi	ISI:000266851000004	en
dc.identifier.volume	36	en
dc.identifier.issue	7	en
dc.identifier.spage	10239	en
dc.identifier.epage	10248	en