Liner shipping cycle cost modelling, fleet deployment optimization and what-if analysis

Zacharioudakis, PG; Iordanis, S; Lyridis, DV; Psaraftis, HN

dc.contributor.author	Zacharioudakis, PG	en
dc.contributor.author	Iordanis, S	en
dc.contributor.author	Lyridis, DV	en
dc.contributor.author	Psaraftis, HN	en
dc.date.accessioned	2014-03-01T01:35:56Z
dc.date.available	2014-03-01T01:35:56Z
dc.date.issued	2011	en
dc.identifier.issn	1479-2931	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21254
dc.subject	cost model	en
dc.subject	fleet deployment	en
dc.subject	genetic algorithms	en
dc.subject	liner network	en
dc.subject	Liner shipping	en
dc.subject	optimization	en
dc.subject.other	ECONOMIES	en
dc.subject.other	SCALE	en
dc.subject.other	SHIPS	en
dc.subject.other	SIZE	en
dc.title	Liner shipping cycle cost modelling, fleet deployment optimization and what-if analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1057/mel.2011.11	en
heal.identifier.secondary	http://dx.doi.org/10.1057/mel.2011.11	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	This article formulates the mathematical model of the liner shipping company cycle cost and attempts to optimize the operational profile of company assets in regards to specific network of routes of cargo flows and vessels portfolio. In other words it attempts to give a practical solution to the modern shipping company fleet deployment problem. This is achieved by developing a generic cost model methodology that aims to minimize total operating costs by using Genetic Algorithms in optimizing various predefined attributes such as operational speed. The finalized model could be applicable to liner shipping companies for optimization purposes of liner networks, as well as for simulation and examination of possible scenarios and what-if analysis. In the era of recession, a demand shock is examined and, interesting results are produced. In further research, this model can estimate the impact of environmental legislation intensification. In the what-if analysis, the model can depict how an initial design of a liner system can be optimized by modifying system attributes to dynamically meet new requirements. © 2011 Macmillan Publishers Ltd.	en
heal.publisher	PALGRAVE MACMILLAN LTD	en
heal.journalName	Maritime Economics and Logistics	en
dc.identifier.doi	10.1057/mel.2011.11	en
dc.identifier.isi	ISI:000296241600003	en
dc.identifier.volume	13	en
dc.identifier.issue	3	en
dc.identifier.spage	278	en
dc.identifier.epage	297	en