Optimization of routing considering uncertainties

Papatzanakis, GI; Papanikolaou, AD; Liu, S

dc.contributor.author	Papatzanakis, GI	en
dc.contributor.author	Papanikolaou, AD	en
dc.contributor.author	Liu, S	en
dc.date.accessioned	2014-03-01T02:11:52Z
dc.date.available	2014-03-01T02:11:52Z
dc.date.issued	2012	en
dc.identifier.issn	16719433	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29968
dc.subject	epistemic and aleatory uncertainties	en
dc.subject	multi-objective optimization	en
dc.subject	operational risk assessment	en
dc.subject	routing system	en
dc.title	Optimization of routing considering uncertainties	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s11804-012-1100-y	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11804-012-1100-y	en
heal.publicationDate	2012	en
heal.abstract	A route optimization methodology in the frame of an onboard decision support/guidance system for the ship's master has been developed and is presented in this paper. The method aims at the minimization of the fuel voyage cost and the risks related to the ship's seakeeping performance expected to be within acceptable limits of voyage duration. Parts of this methodology were implemented by interfacing alternative probability assessment methods, such as Monte Carlo, first order reliability method (FORM) and second order reliability method (SORM), and a 3-D seakeeping code, including a software tool for the calculation of the added resistance in waves of NTUA-SDL. The entire system was integrated within the probabilistic analysis software PROBAN. Two of the main modules for the calculation of added resistance and the probabilistic assessment for the considered seakeeping hazards with respect to exceedance levels of predefined threshold values are herein elaborated and validation studies proved their efficiency in view of their implementation into an on-board optimization system. © 2012 Harbin Engineering University and Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Journal of Marine Science and Application	en
dc.identifier.doi	10.1007/s11804-012-1100-y	en
dc.identifier.volume	11	en
dc.identifier.issue	1	en
dc.identifier.spage	10	en
dc.identifier.epage	17	en