Explore the words cloud of the LOGISTAR project. It provides you a very rough idea of what is the project "LOGISTAR" about.
The following table provides information about the project.
UNIVERSIDAD DE LA IGLESIA DE DEUSTO ENTIDAD RELIGIOSA
|Coordinator Country||Spain [ES]|
|Total cost||4˙997˙548 €|
|EC max contribution||4˙997˙548 € (100%)|
1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
|Duration (year-month-day)||from 2018-06-01 to 2021-05-31|
Take a look of project's partnership.
|1||UNIVERSIDAD DE LA IGLESIA DE DEUSTO ENTIDAD RELIGIOSA||ES (BILBAO)||coordinator||811˙000.00|
|2||SOFTWARE AG||DE (DARMSTADT)||participant||547˙000.00|
|3||UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK||IE (Cork)||participant||460˙723.00|
|4||dbh Logistics IT AG||DE (Bremen)||participant||440˙937.00|
|5||AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS||ES (MADRID)||participant||429˙906.00|
|6||SEMANTIC WEB COMPANY GMBH||AT (WIEN)||participant||389˙750.00|
|7||PRESTON SOLUTIONS LIMITED||UK (LITTLE BOOKHAM)||participant||315˙000.00|
|8||AHLERS BELGIUM NV||BE (ANTWERPEN)||participant||300˙625.00|
|9||GENEGIS GI SRL||IT (MILANO)||participant||276˙250.00|
|10||DRUSTVO ZA KONSALTING, RAZVOJ I IMPLEMENTACIJU INFORMACIONIH I KOMUNIKACIONIH TEHNOLOGIJA DUNAVNET DOO NOVI SAD||RS (NOVI SAD)||participant||253˙750.00|
|11||NESTLE UK LTD||UK (GATWICK)||participant||217˙500.00|
|12||ZAILOG SRL CONSORTILE||IT (VERONA)||participant||211˙875.00|
|13||MDS TRANSMODAL LIMITED||UK (CHESTER)||participant||142˙293.00|
|14||UNITED BISCUITS (UK) LIMITED||UK (HAYES)||participant||100˙937.00|
|15||CODOGNOTTO ITALIA SPA||IT (SALGAREDA)||participant||100˙000.00|
The EU faces the challenge to maintain and increase its economic growth and cope with the problem of freight transport efficiency in Europe. Integration of transport volumes and modes, better use of capacity, flexibility, resource efficiency and cooperation between all actors along the logistic chain are required.
Aligned with the European policies and the ALICE roadmap, LOGISTAR objective is to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration, relying on the increasingly real-time data gathered from the interconnected environment. For this, a real-time decision making tool and a real-time visualization tool of freight transport will be developed, with the purpose of delivering information and services to the various agents involved in the logistic supply chain, i.e. freight transport operators, their clients, industries and other stakeholders such as warehouse or infrastructure managers.
LOGISTAR will address several advances beyond the State of the Art in the interdisciplinary field of the smart algorithms for data processing: Artificial Intelligence focussed onr prediction, parallel hybrid metaheuristics for optimization, automated negotiation techniques, and constraint satisfaction problem solving techniques. The resulting platform will outperform other market products and services such as Freight Exchange Systems, Collaborative Platforms, Transport Control Towers or Routing Systems.
LOGISTARS involves RTD organisations (DEUSTO, UCC, CSIC), technology developers (DNET, SWC), consultancy firms (MDST, PRESTON), ICT services developers (SAG, DBH, GENEGIS) and stakeholders from different stages of the supply chain (AHLERS, ZAILOG, NESTLÉ, PLADIS, CODOGNOTTO).
The duration of the project is estimated to be 36 months and has an approximate budget of 5 million euros.
|State of the art in optimization techniques for global optimization of logistic systems||Documents, reports||2020-02-17 16:48:05|
|System deployment and testing specifications||Documents, reports||2020-02-17 17:16:15|
|Specifications of the data collections and enrichment pipelines||Documents, reports||2020-02-17 16:48:01|
|Definition of use cases and validation plan||Documents, reports||2020-02-17 16:48:06|
|Report on identified and specified data sets in the form of a data management plan||Documents, reports||2020-02-13 13:07:30|
|Network data collection, current supply chain network efficiency and collaboration opportunities - Release 1||Documents, reports||2020-02-13 13:08:01|
|New/emerging Business Model Report - Release 2||Documents, reports||2020-02-12 17:08:41|
|State of the art in artificial intelligence techniques focussed on prediction||Documents, reports||2020-01-21 16:57:55|
|State of the art in Negotiation and Re-optimization techniques in logistics||Documents, reports||2020-01-21 16:57:55|
|Regulation report - Release 1||Documents, reports||2020-01-21 16:57:55|
Take a look to the deliverables list in detail: detailed list of LOGISTAR deliverables.
|year||authors and title||journal||last update|
Pedro Lopez-Garcia, Antonio D. Masegosa, Eneko Osaba, Enrique Onieva, Asier Perallos
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
published pages: 2807-2822, ISSN: 0924-669X, DOI: 10.1007/s10489-019-01423-6
|Applied Intelligence 49/8||2020-02-06|
Filippoa Bistaffa, Christian Blum, Jesus Cerquides, Alessandro Farinelli, Juan A. Rodriguez-Aguilar
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers
published pages: 1-12, ISSN: 1524-9050, DOI: 10.1109/tits.2019.2954982
|IEEE Transactions on Intelligent Transportation Systems||2020-02-06|
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
published pages: 68185-68205, ISSN: 2169-3536, DOI: 10.1109/access.2019.2917228
|IEEE Access 7||2020-02-05|
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