Cloud Based Vessel Allocation Decision Support System for Vessel Chartering - CLOUD-VAS

Start Date and End Date

06 January 2015
06 January 2017

Turkish Partner(s)

Promatech Denizcilik Teknolojileri


Promatech Denizcilik Teknolojileri


1.8 Million Euro


Horizon 2020 SME Instrument

Project Web Page

Scientific Outputs

CLOUD-VAS aims to help Large Oil & Gas companies and Large Ship-owners make sharp decisions on which vessels to charter, saving enormously on chartering costs and fuel consumption equalizing lower CO2 emission.

Tackling ‘grand’ or societal challenges

The outcome CLOUD-VAS will provide a flexible and affordable optimisation platform that enables to significantly minimise operational costs and fuel consumption(thus GHG emissions).The most important factors in supporting the project are that similar solutions are technically inadequate and the planned work is being carried out for the first time in international literature. In positioning the project output in the global market, it is aimed to obtain sustainable income by providing international services instead of selling licenses, to train qualified people and to increase employment.

Reduced environmental impact and enhanced fuel efficiency will contribute to economic prosperity and environmental sustainability as two pillars of sustainability. This makes the project strongly related to the current EU wide challenges for the Maritime Transportation Industry to cut back its CO2 emissions and contribute to their strive for delivering products in a timely and cost effective manner.

Industrial Innovation (including innovation in services as well as products and processes)

CLOUD-VAS will be the only Cloud-Based solution for Vessel Alocation in the market.  Different from the traditional model, CLOUD-VAS will be served as Saas (Software as a Service) model.

CLOUD-VAS is designed to be integrable with Voyage Performance Analyse Reporting System 'VPARS' (developed by PROMATECH) which is a software that measures the operational efficiency of chartered vessels during their voyages, monitors these voyages and gives accurate, detailed reports of the voyages. It's  planned that within 3 years after the completion of the project, CLOUD-VAS and VPARS will be integrated. 

Also, a metaheuristic solver which is combined Evolutionary Algorithms, Tabu Search and Particle Swarm Optimisation will be generated. 

Research-influenced changes in policy, agenda-setting

The provision of Improved Public Goods

The improved exercise of professional skill

Human capital development