Towards secure &amp; green two-stage supply chain networks

Pintea, Camelia-Mihaela; Calinescu, Anisoara; Sitar, Corina Pop; Pop, Petrică C.

doi:10.1093/jigpal/jzy028

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…[73] studies an Uncertain Bicriteria Solid Transportation problem; [74] employs a heuristic approach for the multiperiod location-transportation problem. Several versions of supply-chain problem including efficient reverse distribution system, secure and green features alongside related solvers are presented by [75]- [77]. A parallel fast solver where the search domain of solutions is efficiently reduced at each iteration was proposed by [78] for the two-stage transportation problem with fixed charges.…”

Section: Future Possible Extensions From Unimodal To Multimodal Trans...mentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei,

Rudolf,

Pintea

2021

Preprint

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In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what was already done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and gaps in research and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes nowadays best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.

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Section: Future Possible Extensions From Unimodal To Multimodal Trans...mentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei,

Rudolf,

Pintea

2021

Preprint

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“…In recent years, knowledge of atmospheric pollution and understanding of its effects have advanced greatly. Systematic measurements are key in every country due to the health risks caused by high levels of atmospheric pollution [14,27]. Measurement stations acquire data continuously and, in the case of Spain, these data are available for further study and analysis thanks to the open-data policy of public institutions [15].…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing Maps to Validate Anti-Pollution Policies

Arroyo

Cambra

Herrero

et al. 2019

Logic Journal of the IGPL

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This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in Madrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with similar atmospheric conditions (periods of high Nitrogen dioxide concentration): some of them when no actions were taken and some when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at four different times from 2015 to 2018, are analyzed in order to determine the effectiveness of the anti-pollution measures. The visualization of trajectories on the self-organizing map let us clearly see the evolution of pollution levels and consequently evaluate the effectiveness of the taken measures, after and during the protocol activation time.

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