24,649 research outputs found

    Improving sustainability through intelligent cargo and adaptive decision making

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    In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange

    Training materials for different categories of users

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    Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use, Production Economics, Teaching/Communication/Extension/Profession,

    DW2RDF4SDG - Modelagem multidimensional de cubos a partir de ontologias, de acordo com os Objetivos de Desenvolvimento Sustentável

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    Los modelos multidimensionales y sus medidas en relación con diferentes dimensiones son poderosos instrumentos para la toma de decisiones. Las ontologías, en su expresión básica como RDF [Resource Description Framework] representan la realidad a partir de relaciones entre clases, y constituyen la base de los datos enlazados de la Web semántica. Este trabajo provee una metodología sencilla para, partiendo de un modelo multidimensional de Data Warehouse obtener una ontología RDF que sea fácilmente enlazable a otras ontologías de los Objetivos de Desarrollo Sostenible al 2030, más específicamente a la Ontología de Interface de los Objetivos de Desarrollo Sostenible [SDGIO] que está emergiendo por un esfuerzo global impulsado por el Programa de Naciones Unidas para el Medioambiente [United Nations Environment Programme, UNEP]. La metodología ofrecida, etiquetada como DW2RDF4SDG, se instrumenta para el Objetivo de Desarrollo Sostenible 6 [ODS6], el cual está dirigido a asegurar la disponibilidad y gestión sostenible del agua y saneamiento para todos. Multidimensional models and their measures regarding different dimensions are powerful instruments for decision makers. An ontology, in its basic expression as RDF, represents the reality from relationships between classes, and it is the base for linked data of the semantic Web. This work provides a basic methodology to obtain an ontology RDF from a multidimensional model of a data warehouse, capable to be aligned to other ontology of the Sustainable Developments Goals. Specifically, an approaching of alignment with the Sustainable Development Goals Interface Ontology [SDGIO] emerging by the United Nations Environmental Program [UNEP] is included. This methodology labeled as DW2RDF4SDG is instrumented for the SDG 6, aimed to ensure availability and sustainable management of water and sanitation for all.Os modelos multidimensionais e suas medidas em relação a diferentes dimensões são ferramentas poderosas para a tomada de decisões. As ontologias, na sua expressão básica como RDF [Resource Description Framework], representam a realidade a partir das relações entre classes e constituem a base dos dados vinculados da Web Semântica. Este artigo fornece uma metodologia simples para, a partir de um modelo multidimensional de Data Warehouse, obter uma ontologia RDF que possa ser facilmente vinculada a outras ontologias dos Objetivos de Desenvolvimento Sustentável até 2030, mais especificamente para a Ontologia de Interface dos Objetivos de Desenvolvimento Sustentável [SDGIO] que está emergindo através de um esforço global impulsionado pelo Programa das Nações Unidas para o Meio Ambiente [UNEP]. A metodologia oferecida, rotulada como DW2RDF4SDG, é implementada para o Objetivo de Desenvolvimento Sustentável 6 [SDG6], que visa garantir a disponibilidade e o gerenciamento sustentável de água e saneamento para todos.

    PlanetOnto: from news publishing to integrated knowledge management support

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    Given a scenario in which members of an academic community collaboratively construct and share an archive of news items, several knowledge management challenges arise. The authors' integrated suite of tools, called PlanetOnto, supports a speedy but high quality publishing process, allows ontology-driven document formalization and augments standard browsing and search facilities with deductive knowledge retrieva
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