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Vitrification of hazardous wastes from ship recycling: circular economy solutions for asbestos and synthetic vitreous fibers

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Environmental Science and Pollution Research 2025年第13期32卷 8183-8200页

作者： Pereira, Newton Narciso de Castro Bertagnolli, Denise da Silva, Ladário Faria, Eliel Eleutério Junior, José Mauro Moraes de Araujo de Monteiro Barros, Munique Eva Paiva Miranda, Tainara Alves de Oliveira Lima, Eduardo da Silva Almeida, Vitor Duarte Department of Production Engineering School of Industrial Engineering and Metallurgy at Volta Redonda - EEIMVR – Federal Fluminense University UFF Av. dos Trabalhadores 420 – Sala C77 Vila Sta. Cecília RJ Volta Redonda27255-125 Brazil Department of Chemistry Exact Sciences Institute Federal Fluminense University UFF Rua Desembargador Ellis Hermydio Figueira 783 RJ AterradoVolta Redonda27213-145 Brazil Department of Physics Exact Sciences Institute Federal Fluminense University UFF Rua Desembargador Ellis Hermydio Figueira 783 RJ AterradoVolta Redonda27213-145 Brazil Department of Physics Universidade Federal de Roraima Av. Cap. Ene Garcez N. 2413 Paricarana Roraima Boa Vista69310-000 Brazil Departament of Metallurgical Engineering Federal Fluminense University UFF Av. dos Trabalhadores 420 Vila Sta. Cecília RJ Volta Redonda27255-125 Brazil Physics Post-Graduate Program Brazilian Center for Physics Research Rua Doutor Xavier Sigaud 150 Urca RJ Rio de Janeiro22290-180 Brazil Physics Post-Graduate Program Physics Institute Federal Fluminense University UFF Av. Gal. Milton Tavares de Souza S/nº Praia Vermelha Campus RJ Niterói24210-346 Brazil

Ship recycling at the end of its useful life presents significant environmental and health challenges due to the presence of hazardous materials, such as asbestos and synthetic vitreous fibers (SVFs). This study aimed to convert SVFs and asbestos into safe, reusable co-products by incorporating them into a glassy matrix. The materials were melted at 1200 °C for 1 h with utilization of niobium pentoxide (Nb2O5) to lower fusion temperatures. Samples collected from an offshore vessel and platform being recycled in Rio de Janeiro, Brazil, were analyzed using energy-dispersive x-ray spectroscopy (EDS) and scanning electron microscopy (SEM), revealing the presence of SVFs but not asbestos. Seven types of glass were produced, with their non-crystalline, glassy nature confirmed by the presence of an amorphous halo in X-ray diffraction (XRD) and a glass transition observed in differential scanning calorimetry (DSC). These findings demonstrate the potential to transform hazardous waste into value-added products, advancing a circular economy in ship recycling operations. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Asbestos

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Brazilian import transport network of fertilizer (NPK): An analysis using SNA 8

Brazilian import transport network of fertilizer (NPK): An a...

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8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS 2020

作者： Dos Reis, João Gilberto Mendes Machado, Sivanilza Teixeira Neto, Fernando Gorni De Souza, Aguinaldo Eduardo De Alencar Naas, Irenilza RESUP - Supply Network Research Group Post-Graduate in Production Engineering Universidade Paulista - UNIP São Paulo Brazil Post-Graduation Program in Agribusiness Universidade Federal da Grande Dourados - UFGD Dourados Brazil Federal Institute of Sao Paulo Campus Suzano Brazil

The world population is expected to increase to 9.8 billion by 2050, increasing food demand. Fertilizer is one of the key factors that can increase food production in the world. This article aims to investigate the flow of fertilizers among country origin, main ports of entry in Brazil, and international suppliers. For this purpose, data were collected from the Brazilian Ministry of Industry and Foreign Trade, and we analyzed these data using the Ucinet 6.0 ® and Netdraw ® software. The results showed that imports of fertilizing products to Brazil are concentrated in Santos and Paranagua ports. © Interconnected Supply Chains in an Era of Innovation - Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain, ILS 2020. All rights reserved.

关键词： Fertilizers

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Hoshin Kanri and A3: a proposal for integrating variability into the policy deployment process

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TQM Journal 2019年第2期31卷 118-135页

作者： Tortorella, Guilherme Cauchick-Miguel, Paulo A. Gaiardelli, Paolo Federal University of Santa Catarina Florianopolis Brazil Department of Production and Systems Engineering Federal University of Santa Catarina Florianopolis Brazil Post-Graduate Program of Production Engineering Universidade de Sao Paulo Sao Paulo Brazil Universita degli Studi di Bergamo Bergamo Italy

Purpose: The purpose of this paper is to propose a methodology to support the Hoshin Kanri (HK) process taking into account the variance of senior managers’ perspective regarding the relationships among objectives, key performance indicators and continuous improvement (CI) projects. Design/methodology/approach: A four-step methodology incorporates the A3 report into the HK, whose deployment was weighted by the variability among managers’ perception about the importance of each decision. This methodology was applied in a market-leader Mexican auto parts manufacturing company that is undergoing a Lean Manufacturing (LM) implementation. Findings: The results indicate that the proposed methodology provides an easier approach to consolidate different perspectives and weight the importance of CI projects. Moreover, it minimizes the possibility of managerial conflicts or the influence of a determined senior manager on others’ opinions during the deployment and prioritization. Practical implications: This work may be of great interest to managers, consultants and professionals who deal with the implementation of LM and wish to prioritize the importance of CI projects within the perspective of HK. Originality/value: HK provides a systematic approach to integrate strategic management with daily routine management through an adequate deployment of organizational policies to all levels. However, companies usually struggle with several issues such as the style of senior managers and consensus establishment among different opinions, which emphasizes the relevance of the proposed methodology in this study. © 2018, Emerald Publishing Limited.

关键词： Managers

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Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

SSRN

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SSRN 2024年

作者： Soares, Mauricio Fornalski Nunes, Romulo Félix Siqueira, Tirzah Moreira Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva She, Dongli Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul Pelotas96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo São Paulo Piracicaba Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do Leão96010-900 Brazil College of Agricultural Sciences and Engineering Hohai University Nanjing210098 China Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Ri o Grande do Sul CEP Capão do Leão96010-900 Brazil

Saturated hydraulic conductivity (KSat) is a key soil attribute that influences hydrological processes at multiple scales. It is well known that KSat is difficult to measure in the field. Field KSat measurement requires time and expensive equipment, skilled labor, and due to the variability of KSat, many samples are required. Artificial neural networks (ANNs) are powerful non-linear mathematical models that can estimate KSat from different soil and environmental input variables as well as using dimensionless variables generated using database resizing techniques via principal component analysis (PCA). Our main goal is to construct artificial neural network models for predicting KSat using soil and different land uses as input variables at a watershed scale. The study area is the Eller Creek watershed of about 0.7 km2 in southern Brazil, in which we established an experimental grid of 178 sampling points. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original dataset and two selected PCs were included as input variables for ANN modeling. Our results suggest that PC inclusion as input parameters, collectively or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models using only the original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated with soil hydrological and environmental covariates, but also to PCs which are orthogonal linear recombinations that encapsulate the main sources of variation of the original datasets. © 2024, The Authors. All rights reserved.

关键词： Soils

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Stochastic multi-objective optimization of hybrid distributed power generation with battery storage systems

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Energy Sources, Part B: Economics, Planning and Policy 2025年第1期20卷

作者： Barbosa, Aglaucibelly Maciel Rotella Junior, Paulo Peruchi, Rogério Santana Rocha, Luiz Célio Souza Pires, Arthur Leandro Guerra Janda, Karel Post-Graduate Program in Production Engineering and Systems Federal University of Paraiba João Pessoa Brazil Department of Production Engineering Federal University of Paraiba João Pessoa Brazil Faculty of Finance and Accounting Prague University of Economics and Business Prague Czech Republic Institute of Economic Studies Faculty of Social Sciences Charles University Prague Czech Republic Management Department - Federal Institute of Education Science and Technology - North of Minas Gerais Almenara Brazil Institute of Production Engineering and Management Federal University of Itajubá Brazil

Hybrid energy projects are gaining global interest due to their potential to promote sustainable development. This study addresses a gap in the literature by proposing a stochastic model that assesses the economic feasibility of a hybrid energy system combining wind, photovoltaic generation, and battery storage. Unlike traditional deterministic approaches, the model incorporates uncertainties in key financial and operational variables, improving decision-making in real-world conditions. The optimization framework integrates Design of Experiments (DoE), Response Surface Methodology (RSM), and the Desirability function to balance economic return and financial risk. By maximizing the mean and minimizing the variance of the Net Present Value (NPV), the model identifies an optimal system configuration with 92% wind energy, a demand level of 230 kWh/month, and lithium-ion battery storage. This approach reduces computational complexity and enhances hybrid system viability in regions with strong wind resources, providing a valuable tool for investors and policymakers in sustainable energy planning. © 2025 Taylor & Francis Group, LLC.

关键词： Multiobjective optimization

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Cargo vehicle combinations: An economic and environmental approach to soybean supply chain in Mato Grosso, Brazil 8

Cargo vehicle combinations: An economic and environmental ap...

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8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS 2020

作者： Toloi, Rodrigo Carlo Toloi, Marley Nunes Vituri Dos Reis, João Gilberto Mendes De Oliveira Machado, Antônio Carlos Machado, Sivanilza Teixeira Dos Santos Rabelo, Audiene Correia Bonilla, Silvia Helena Federal Institute of Mato Grosso Campus Rondonópolis Mato Grosso Brazil RESUP - Supply Chain Research Group Post-Graduate Program in Production Engineering Paulista University 1212 Dr. Bacelar St. São Paulo SP Brazil NAPOLE - Advanced Production Operations Logistics and Strategy Center Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Brazil

There is a growing concern about food production, the rational use of energy, and the impacts caused by anthropogenic greenhouse gas emissions on transport systems. With this concern in mind, the objective of this paper is to discuss the economic and environmental performance of different combinations of cargo vehicles. To do so, we explored the flow of soybean from Mato Grosso state to the ports. The results show that the combination of the stump semi-trailer presented the best economic performance, while the combination of the 'rodotrem' semi-trailer presented the best environmental performance. Moreover, this work points out the importance of the quality of the highways on the economic and environmental performance of soybean transportation. © Interconnected Supply Chains in an Era of Innovation - Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain, ILS 2020. All rights reserved.

关键词： Greenhouse gases

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Industry 4.0 in Brazil, Ireland and Argentina: Challenges and opportunities 49

Industry 4.0 in Brazil, Ireland and Argentina: Challenges an...

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49th International Conference on Computers and Industrial engineering, CIE 2019

作者： Satyro, Walter Cardoso Martens, Mauro Luiz Spinola, Mauro de Mesquita Vanalle, Rosangela Maria Lucato, Wagner Cezar Neto, Geraldo Cardoso de Oliveira Pinto, Luiz Fernando Rodrigues Post-graduate Program in Production Engineering Nove de Julho University-UNINOVE Sao PauloSP Brazil Pro-Rectory of Research Polytechnic School Department of Production Engineering University of Sao Paulo – USP Sao PauloSP Brazil

Industry 4.0 has drawn the attention of researchers around the world for its potential ability to increase competitiveness of the companies that can use it. Although much research has emphasized the technological aspect, little attention has been paid to the challenges and opportunities that the companies which intend to implement it expect to face. Based on secondary data this paper involved a research made with 135 companies in Ireland, 246 in Brazil and 305 in Argentina, to study the expected benefits and internal and external barriers that these 686 have in relation to the implementation of Industry 4.0. The practical implication and originality of this study is to present common points and some differences that these companies have, so researchers can guide their studies to try to overcome the main barriers, improving potential opportunities and helping to link research with practice more effectively. © 2019, Computers and Industrial engineering. All rights reserved.

关键词： Industry 4.0

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A new Normalized Index for Ranking Papers in Systematic Literature Reviews

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Decision Analytics Journal 2024年 10卷

作者： Steffen, Vilmar de Oliveira, Maiquiel Schmidt Brusamarello, Claiton Zanini Trojan, Flavio Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil

The number of journals, and consequently the number of papers, has grown significantly, which makes it necessary to use suitable tools in systematic literature reviews. Several methodologies have been proposed for this purpose, and one of these methods is the index calculation used to rank the papers in order of importance. This study proposes a new index called the Normalized Index for Ranking Papers to rank the papers in a systematic literature review, which is considered mainly indicators provided by the Centre for Science and Technology Studies journal indicators. For this index calculation, importance weights are assigned by the researchers, and the indicators used in the index are normalized. For ranking the final portfolio, the proposed method considers a weighted average of indicators (impact factors) in which the paper was published and a value that represents approximately the number of citations per year. The journal self-citation index benefits the journals with lower self-citation practices. A Systematic Literature Review (SLR) was carried out to analyze the final portfolio's results involving Multi-criteria Decision Analysis in airports. The indicators normalization enables the importance of each metric to be decided by the researcher according to the choice of the weights, not by the difference in the indicators’ magnitude. The importance of an article can be proved initially by the journal indicators in which the paper was published and by citations per year. © 2024 The Authors

关键词： Importance weight Journal indicator Multiple criteria Normalized Index for Ranking Papers Rank index Systematic Literature Review

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Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

SSRN

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SSRN 2023年

作者： Soares, Mauricio Fornalski Siqueira, Tirzah Moreira Nunes, Romulo Félix Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul PelotasCEP: 96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo Piracicaba São Paulo Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil

Saturated soil hydraulic conductivity (KSat) is a key soil attribute that affects hydrological processes in the soil surface layer. It is well known that KSat is difficult to be obtained in the field, requires time and expensive equipment, skilled labor and, due to its variability, requires many samples and can hardly be extrapolated. Artificial neural networks (ANNs) are powerful no-linear mathematical models to estimate KSat from different soil hydro-physical and environmental input variables as well as by using dimensionless variables generated by database resizing techniques from principal component analyses (PCA). The present study aimed to construct artificial neural network models for predicting KSat using soil attributes and different land uses as input variables at a watershed scale. The study was carried out in the Ellert Creek watershed of about 0.7 km2, Brazil, in which an experimental grid consisted of 178 sampling points was established. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original data set and selected PCs were used as input variables for ANN modeling. Two PCs were selected and the results suggest that their inclusion as input parameters, both or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models with only original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated to soil hydrological and environment covariates, but also to PCs which are orthogonal linear recombinations that resume the main sources of variation of the original data sets. © 2023, The Authors. All rights reserved.

关键词： Soils

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The complete chloroplast genome ofArtocarpus altilis(Moraceae) and phylogenetic relationships

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Mitochondrial DNA Part B 2021年第8期6卷 2291-2293页

作者： Ueric José Borges de Souza Raíssa Nunes dos Santos Renisson Neponuceno de Araújo Filho Gil Rodrigues dos Santos Renato Almeida Sarmento Fabien De Bellis Fabrício Souza Campos a Laboratory of Bioinformatics & Biotechnology Federal University of Tocantins Gurupi Brazil b Department of Forestry Engineering Federal University of Tocantins Gurupi Brazil c Laboratory of Phytopathology Federal University of Tocantins Gurupi Brazil b Department of Forestry Engineering Federal University of Tocantins Gurupi Brazild Post-Graduate Program in Plant Production Federal University of Tocantins Gurupi Brazil e CIRAD UMR AGAP Institute Montpellier Francef UMR AGAP Institute University of Montpellier CIRAD INRAE L’Institut Agro Montpellier France

The chloroplast (cp) is an essential organelle in higher plants. The genes of the plastome are well suited to infer phylogenetic relationships among taxa. In this study, we report the assembly of the cp genome ofArtocarpus altilisand its phylogeny among species from Moraceae family. The cp genome ofA. altiliswas 160,822 base pair (bp) in length, comprising one large single-copy region of 88,692 bp, one small single-copy region of 19,290 bp, and a pair of inverted repeat regions (IRs) of 26,420 bp. A total of 113 different genes were predicted, including 79 protein-coding genes, 30tRNA genes, and fourrRNA genes. The phylogenetic analysis of 19 species belonging to the Moraceae family confirmed the phylogenetic proximity of the genusArtocarpusandMorusand the genetic similarity ofA. camansiandA. altilis.

关键词： Plastid genome plastome phylogenetic relationships

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