Enhanced data management techniques for real time logistics planning and scheduling

Risultati finali

Network data collection, current supply chain network efficiency and collaboration opportunities - Release 2

Network data collection, current supply chain network efficiency and collaboration opportunities for the 4 main sectors - Release 2

New/emerging Business Model Report - Release 3

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (final update).

State of the art in Negotiation and Re-optimization techniques in logistics

Report on the state of the art in Negotiation and Re-optimization techniques in logistics

Market research: interviews, user needs & functional requirements analysis

It includes interviews, user needs & functional requirements analysis in FMCG-Retail, Chemicals, LSPs, Terminals & Ports, Other.

Dissemination plan

Dissemination plan will describe the overall dissemination strategy to be followed throughout the project, together with lists of the planned dissemination actions and events (Initial version and updates).

Report on business improvement & use cases opportunities

This deliverable will provide Return on Experience on the impact, barriers and performance of the process, and trying to introduce the learnings in new logistics strategies and operational decisions.

System deployment and testing specifications

Report on system deployment and testing specifications

New/emerging Business Model Report - Release 2

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (1st annual update).

Definition of use cases and validation plan

Report on the definition of use cases and validation plan.

Conclusions of Applied Learning Cycle with WP1-6

This deliverable includes leassons learned in the continuous feedback loop between research WPs

Regulation report - Release 2

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines

State of the art in optimization techniques for global optimization of logistic systems
Network data collection, current supply chain network efficiency and collaboration opportunities - Release 1

Network data collection, current supply chain network efficiency and collaboration opportunities for the 4 main sectors. Release 1.

"Testing results evaluation in Living Lab ""Backhauling and Co-loading” led by Nestlé"

Report on the testing results evaluation in the Living Lab Backhauling and Coloading led by Nestl

Global engagement plan for user engagement - Release 2

Final version of the report on plan for user engagement

Regulation report - Release 3

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines.

"Testing results evaluation in Living Lab ""Synchromodality"" - led by Zailog"

Report on the testing results evaluation in the Living Lab Synchromodality led by Zailog

Report on identified and specified data sets in the form of a data management plan
LOGISTAR technologies market research

It includes the “State of the art of IoT, Broad Data, Event detection, Cloud computing, Geographical Information modules, infrastructures for big data analytics” and the approach to follow on this technologies in LOGISTAR, considering the expectations of the European supply chain managers.

New/emerging Business Model Report - Release 1

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (initial version).

Specifications of the data collections and enrichment pipelines

Specifications of the data collections and enrichment pipelines.

"Testing results evaluation in Living Lab ""Dynamic Appointment Scheduling & Accurate ETA Calculation for LTL/FTL Trucks and Virtual Living Lab "" - led by Ahlers"

Report on the testing results evaluation in the Living Lab Dynamic Appointment Scheduling Accurate ETA Calculation for LTLFTL Trucks and Virtual Living Lab led by Ahlers

State of the art in artificial intelligence techniques focussed on prediction
Regulation report - Release 1

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines.

ORDP Open Research Data Pilot

According to Article 29.3, LOGISTAR will guarantee the data utilised in scientific publications is reusable and accessible.

Project website and social network profiles

The website will include details on its architecture and contents, together with the plans to keep it up to date throughout the project. The website will include among others: Publishable summaries, Dissemination material (articles, flyers, brochures, posters, banners and other material), and links to social network profiles.

Pubblicazioni

Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem

Autori: Cynthia Porras, Jenny Fajardo, Alejandro Rosete, Antonio D. Masegosa
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 20542-20556, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3055295

Popularity-similarity random SAT formulas

Autori: Jesús Giráldez-Cru, Jordi Levy
Pubblicato in: Artificial Intelligence, Numero 299, 2021, Pagina/e 103537, ISSN 0004-3702
Editore: Elsevier BV
DOI: 10.1016/j.artint.2021.103537

GDL as a unifying domain description language for declarative automated negotiation

Autori: Dave de Jonge, Dongmo Zhang
Pubblicato in: Autonomous Agents and Multi-Agent Systems, Numero 35/1, 2021, ISSN 1387-2532
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10458-020-09491-6

Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics

Autori: Pedro Lopez-Garcia, Antonio D. Masegosa, Eneko Osaba, Enrique Onieva, Asier Perallos
Pubblicato in: Applied Intelligence, Numero 49/8, 2019, Pagina/e 2807-2822, ISSN 0924-669X
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10489-019-01423-6

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

Autori: Toon Bogaerts, Antonio D. Masegosa, Juan S. Angarita-Zapata, Enrique Onieva, Peter Hellinckx
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 112, 2020, Pagina/e 62-77, ISSN 0968-090X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2020.01.010

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

Autori: Reyhan Aydoğan, Tim Baarslag, Katsuhide Fujita, Johnathan Mell, Jonathan Gratch, Dave de Jonge, Yasser Mohammad, Shinji Nakadai, Satoshi Morinaga, Hirotaka Osawa, Claus Aranha, Catholijn M. Jonker
Pubblicato in: Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers, Numero 12520, 2020, Pagina/e 366-381, ISBN 978-3-030-66411-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66412-1_23

Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis

Autori: C. Lago, I. Lopez-Gazpio, E. Onieva
Pubblicato in: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Numero 12886, 2021, Pagina/e 524-537, ISBN 978-3-030-86270-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_44

Optimization of Warehouse Layout for the Minimization of Operation Times

Autori: Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo, Enrique Onieva
Pubblicato in: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Numero 12886, 2021, Pagina/e 649-658, ISBN 978-3-030-86270-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_54

Waste Collection Vehicle Routing Problem Using Filling Predictions

Autori: Haizea Rodriguez, Jon Díaz, Jenny Fajardo-Calderín, Asier Perallos, Enrique Onieva
Pubblicato in: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Numero 12886, 2021, Pagina/e 637-648, ISBN 978-3-030-86270-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_53

The Challenge of Negotiation in the Game of Diplomacy

Autori: Dave de Jonge, Tim Baarslag, Reyhan Aydoğan, Catholijn Jonker, Katsuhide Fujita, Takayuki Ito
Pubblicato in: Agreement Technologies - 6th International Conference, AT 2018, Bergen, Norway, December 6-7, 2018, Revised Selected Papers, Numero 11327, 2019, Pagina/e 100-114, ISBN 978-3-030-17293-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-17294-7_8

Reducing SAT to Max2SAT

Autori: Carlos Ansótegui, Jordi Levy
Pubblicato in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Pagina/e 1367-1373, ISBN 978-0-9992411-9-6
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2021/189

A Heuristic Algorithm for Multi-Agent Vehicle Routing with Automated Negotiation

Autori: Dave de Jonge, Filippo Bistaffa, Jordi Levy
Pubblicato in: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021
Editore: AAMAS
DOI: 10.5555/3463952.3464004

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

Autori: Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
Pubblicato in: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19, 2019, Pagina/e 1312-1320, ISBN 9781-450367486
Editore: ACM Press
DOI: 10.1145/3319619.3326847

Incremental Preference Elicitation for Horizontal Collaborationin Transport Operations

Autori: Federico Toffano, Nic Wilson
Pubblicato in: Multi-Objective Decision Making Workshop - 2021, 2021
Editore: IFAAMAS

Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation

Autori: Federico Toffano, Paolo Viappiani, Nic Wilson
Pubblicato in: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent, 2021
Editore: AAMAS
DOI: 10.5555/3463952.3464105

Risultati finali

Pubblicazioni

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