Factors affecting the adoption of green supply chain management practices in Brazil: Empirical evidence

The aim of this study is to identify and analyse the factors that affect the adoption of Green Supply Chain Management practices based on empirical evidence from the Brazilian electronics sector. Data are collected in a survey of 100 electronics companies and analysed using statistical analysis of variance and regression methods. The study finds that the size of the company, previous experience with Environmental Management Systems, and the use of hazardous inputs are positively correlated with GSCM practices adoption. Surprisingly, formal pressure from the stronger tier/player in the supply chain is not correlated with the adoption of GSCM practices. Finally, we present some explanations for these findings and suggestions for future research. © 2013 Copyright Taylor and Francis Group, LLC.

An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms

Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. In these situations, the power supply (e.g. battery) of each node cannot be easily replaced. One solution to deal with the limited capacity of current power supplies is to deploy a large number of sensor nodes, since the lifetime and dependability of the network will increase through cooperation among nodes. Applications on WSN may also have other concerns, such as meeting temporal deadlines on message transmissions and maximizing the quality of information. Data fusion is a well-known technique that can be useful for the enhancement of data quality and for the maximization of WSN lifetime. In this paper, we propose an approach that allows the implementation of parallel data fusion techniques in IEEE 802.15.4 networks. One of the main advantages of the proposed approach is that it enables a trade-off between different user-defined metrics through the use of a genetic machine learning algorithm. Simulations and field experiments performed in different communication scenarios highlight significant improvements when compared with, for instance, the Gur Game approach or the implementation of conventional periodic communication techniques over IEEE 802.15.4 networks. © 2013 Elsevier B.V. All rights reserved.

Genotoxicological assessment of two reactive dyes extracted from cotton fibres using artificial sweat

Human eyes have a remarkable ability to recognize hundreds of colour shades, which has stimulated the use of colorants, especially for clothing, but toxicological studies have shown that some textile dyes can be hazardous to human health. Under conditions of intense perspiration, dyes can migrate from coloured clothes and penetrate into human skin. Garments made from cotton fabrics are the most common clothing in tropical countries, due to their high temperatures. Aiming to identify safe textile dyes for dyeing cotton fabrics, the genotoxicity [in vitro Comet assay with normal human dermal fibroblasts (NHDF), Tail Intensity] and mutagenicity [Salmonella/microsome preincubation assay (30 min), tester strains TA98, TA100, YG1041 and YG1042] of Reactive Blue 2 (RB2, CAS No. 12236-82-7, C.I. 61211) and Reactive Green 19 (RG19, CAS No. 61931-49-5, C.I. 205075) were evaluated both in the formulated form and as extracted from cotton fibres using different artificial sweats. Both the dyes could migrate from cotton fibres to sweat solutions, the sweat composition and pH being important factors during this extraction. However, the dye sweat solutions showed no genotoxic/mutagenic effects, whereas a weak mutagenic potential was detected by the Ames test for both dyes in their formulated form. These findings emphasize the relevance of textile dyes assessment under conditions that more closely resemble human exposure, in order to recognize any hazard. © 2013 Elsevier Ltd. All rights reserved.

Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company

Due to an increased awareness and significant environmental pressures from various stakeholders, companies have begun to realize the significance of incorporating green practices into their daily activities. This paper proposes a framework using Fuzzy TOPSIS to select green suppliers for a Brazilian electronics company; our framework is built on the criteria of green supply chain management (GSCM) practices. An empirical analysis is made, and the data are collected from a set of 12 available suppliers. We use a fuzzy TOPSIS approach to rank the suppliers, and the results of the proposed framework are compared with the ranks obtained by both the geometric mean and the graded mean methods of fuzzy TOPSIS methodology. Then a Spearman rank correlation coefficient is used to find the statistical difference between the ranks obtained by the three methods. Finally, a sensitivity analysis has been performed to examine the influence of the preferences given by the decision makers for the chosen GSCM practices on the selection of green suppliers. Results indicate that the four dominant criteria are Commitment of senior management to GSCM; Product designs that reduce, reuse, recycle, or reclaim materials, components, or energy; Compliance with legal environmental requirements and auditing programs; and Product designs that avoid or reduce toxic or hazardous material use. © 2013 Elsevier B.V. All rights reserved.

Avaliação da toxicidade e caracterização de hidrocarbonetos presentes em águas de rios que recebem efluente de indústria petroquímica

Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC

Avaliação dos potenciais citotóxico, genotóxico e mutagênico das águas do Ribeirão Tatu, região de Limeira/SP, após o recebimento de efluentes urbanos

Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC

O controle concorrencial dos atos de concentração como instrumento de implementação de política pública estatal

Pós-graduação em Direito - FCHS

Incorporação do resíduo serragem cromada em materiais de construção civil

Pós-graduação em Engenharia Mecânica - FEB

Diagnóstico e avaliação do potencial energético dos resíduos gerados em uma indústria alimentícia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Gerenciamento de resíduos odontológicos no serviço público e o seu impacto no meio ambiente

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Caracterização detalhada dos resíduos sólidos domiciliares de Sorocaba visando melhorias do sistema de coleta seletiva

Pós-graduação em Engenharia Civil e Ambiental - FEB

Prevalência e fatores associados ao uso de álcool entre idosos do município de Sâo Paulo/SP, Estudo SABE

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A tuberculose pulmonar nos presídios da região de saúde de Presidente Prudente-SP, Dir XVI -1998-2002

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Intoxicação alimentar por metilmercúrio em tilápia do Nilo e sua biomagnificação em ratos wistar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Epidemiologia do Cowpea aphid borne mosaic virus (CABMV) em maracujazeiros na região produtora da Alta Paulista, SP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)