Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

As atividades de carpintaria e serralharia são fortemente marcadas pelo uso de ferramentas antigas e trabalhadores não qualificados, o que contribui para a ocorrência de acidentes e outros riscos ocupacionais. Através destas discussões, este trabalho tem como objetivo analisar os acidentes ambientais e riscos ergonômicos em uma oficina de carpintaria localizada na cidade de Pau dos Ferros / RN. Assim, o objetivo foi quantificar a exposição ao ruído, medir os valores de temperatura ambiente e umidade, bem como os valores de iluminação ambiente. Para tanto, foram realizadas medições ambientais, bem como registros fotográficos e entrevistas com os responsáveis pelo estabelecimento. De acordo com a pesquisa realizada, nota-se que uma série de aspectos contribuem para o estabelecimento estudado apresentar condições insalubres. Entre os pontos a serem citados, a iluminação, Bem como a temperatura ea produção de ruído são os fatores mais marcantes. Além desses aspectos, a desorganização é também uma problemática presente neste ambiente de trabalho, uma vez que os resíduos não são devidamente descartados e as matérias-primas são amontoadas em meio a detritos e equipamentos. Outro ponto a ser citado é o uso de EPI, o que não ocorre devido à recusa dos empregados.

O presente trabalho consiste principalmente na elaboração de um estudo de caso focado na detecção da emissão de monóxido de carbono (CO) causada pela incineração de resíduos sólidos urbanos do aterro público da cidade de Serrinha dos Pintos / RN, localizada em O semi-árido. O estudo visa analisar fatores possivelmente afetados pela emissão de gás tóxico, mas também fatores socioambientais, por exemplo. Assim, para uma análise significativa e coerente desses fatores a partir de resíduos sólidos urbanos, o estudo analisa as condições de trabalho encontradas nas questões ambientais, sociais e ambientais através de um questionário aplicado aos moradores da comunidade onde o aterro está localizado, Exposição ao monóxido de carbono. Assim, os resultados abrangem várias áreas que estão ligadas não só à emissão de CO,

The objective of this study was to evaluate whether relationship exist between credit risk management techniques and financial performance of microfinance institutions in Kampala, Uganda. Specifically, the study examined whether there is a relationship between credit risk identification, credit risk appraisal, credit risk monitoring, credit risk mitigation and financial performance of microfinance institutions in Kampala using sample of 60 members of staff in finance and credit departments of three licensed microfinance institutions in Kampala, Uganda namely Finca Uganda Ltd, Pride Microfinance Ltd, UGAFODE Microfinance Ltd. Primary data was collected using questionnaires and it comprised of closed ended questions. Secondary data was collected from the microfinance institutions (MDI’s) annual reports (2011 - 2015).  Frequencies and descriptive statistics were used to analyse the population. Pearson linear correlation coefficient was adopted to examine relationship between credit risk management techniques and financial performance.  The findings indicate that credit risk identification and credit risk appraisal has a strong positive relationship on financial performance of MDIs, while credit risk monitoring and credit risk mitigation have moderate significant positive relationship on financial performance of MDIs. The study recommends, among others, that the credit risk appraisal process should identify and analyse all loss exposures, and measure such loss exposures. This should guide in selection of technique or combination of techniques to handle each exposure.  The study concludes that MDIs should continually emphasise effective credit risk identification, credit risk appraisal, credit risk monitoring, and credit risk mitigation techniques to enhance maximum financial performance.

Integration is constantly reported in the literature as an essential feature of SCM. However, it is as difficult to define as to operationalize it, resulting in a lack of information on how to increase the level of integration among members. Thus, this research aims to evaluate the dimensionality of SCI, to check alignment with the features identified in the literature using multivariate statistical analysis. The methodology used was based on a questionnaire to assess the level of companies integration with suppliers of its supply chain. This instrument consisted of 21 items, with response options: yes, no or not applicable. The questions focused on evaluating the integration with suppliers, so each company consulted could answer a questionnaire for each supplier, since the intensity of relationships varies. Thus, 41 companies participated in the survey, resulting in 205 responses. Full-information item factor analysis and principal component analysis on the correlation matrix tetrachoric were used for the instrument dimensionality analysis. They are appropriate procedures for analysis of dichotomous variables. The results of this analysis enabled grouping the questionnaire items in the following underlying factors: trust, information sharing, partnership, collaboration or cooperation, and coordination. The identification of such factors such as dimensions of SCI enables greater understanding on how to raise the level of integration among the members of a supply chain.

Stakeholders are responsible for implementing the occupational health and safety provisions in an organization. Irrespective of organization, the role of safety department is purely advisory as it coordinates with all the departments, and this is crucial to improve the performance. Selection of safety officer is vital job for any organization; it should not only be based on qualifications of the applicant, the incumbent should also have sufficient exposure in implementing proactive measures. The process of selection is complex and choosing the right safety professional is a vital decision. The safety performance of an organization relies on the systems being implemented by the safety officer. Application of multi criteria decision-making tools is helpful as a selection process. The present study proposes the grey relational analysis(GRA) for selection of the safety officers in an Indian construction organization. This selection method considers fourteen criteria appropriate to the organization and has ranked the results. The data was also analyzed by using technique for order Preference by Similarity to an Ideal solution (TOPSIS) and results of both the methods are strongly correlated

While many studies have applied data mining techniques to judge housing prices, few have decoded the important attributes or prioritized them simultaneously. This paper aims to utilize five data mining techniques to discover the important attributes for three major types of real estate in Taipei city. The datasets, involving a total of 22,480 transactions, were publicly available from the Taiwan Actual Price Registration from July 2013 to August 2015. The five models are decision trees, random forests, model trees, artificial neural networks and multiple regression. The criteria used to measure the forecasting accuracy are MAPE, R², RMSE, MAE and COR. The model with the best performance for all houses is the Model Tree with a MAPE value of 27.59. As for apartments, the best is Random Forests. Artificial Neural Networks perform best for suites and buildings with elevators. Different housing types need different models. Furthermore, the attributes importance helps us to conclude the really critical attributes, which include the floor area, administrative districts, parking area and land area, and their rankings. This variable ranking and selection procedure proposed by this research can also be adopted to improve the prediction efficiency for most big data applications other than the housing transactions.

The penetration of renewable energy into the electricity supply in Brazil is high, one of the highest in the World. Centralized hydroelectric generation is the main source of energy, followed by biomass and wind. Surprisingly, mini and micro-generation are negligible, with less than 2,000 connections to the national grid. In 2015, a new regulatory framework was put in place to change this situation. In the agricultural sector, the framework was complemented by the offer of low interest rate loans to in-farm renewable generation. Brazil proposed to more than double its area of planted forests as part of its INDC- Intended Nationally Determined Contributions to the UNFCCC-U.N. Framework Convention on Climate Change (UNFCCC). This is an ambitious target which will be achieved only if forests are attractive to farmers. Therefore, this paper analyses whether planting forests for in-farm energy generation with a with a woodchip gasifier is economically viable for microgeneration under the new framework and at if they could be an economic driver for forest plantation. At first, a static case was analyzed with data from Eucalyptus plantations in five farms. Then, a broader analysis developed with the use of Monte Carlo technique. Planting short rotation forests to generate energy could be a viable alternative and the low interest loans contribute to that. There are some barriers to such systems such as the inexistence of a mature market for small scale equipment and of a reference network of good practices and examples.

This theoretical research identified the possibility that Governance factors contribute as evidence of value in the relationships of commercial partnerships between Logistic Operators and service providers. The data analysis allowed to identify three possible levels of grouping due to the variables of facilitators of proximity of partnerships that showed that it is possible to have a relationship with transparence between the client company and its suppliers. Most of these groups of suppliers were characterized by the intention to share operating profits with the client company, with little tolerance to financial risks of joint investments and a tendency to sign future supply contracts. Transparency, ethics and corporate responsibility have contributed to the consolidation of these groupings of partnerships among companies, as well as creating a mutual and evolutionary process of full confidence in such a way that Corporate Governance becomes the main value factor for this relationship.

This paper aims to present the quality and its direct influence on important characteristics that dominate the Design of the Supply Network, demonstrating the main aspects involved and the strategy developed to achieve a better performance.  The study is based on a literature review and the main objective of this systematic review of the literature was to identify and classify all previous studies that examined some aspect of network analysis in the context of the supply chain since so far. It provides a detailed description of the most of the subject and contributes with a set of findings that capture the current state of art of the topic. Quality in the supply chain is a new subject and little studied, but it is observed that its influence is present in all sectors of the economy. The classification of Supply Chains has been highlighted as a flow of materials and information that go from suppliers to final customers in the best possible way. With the development of a management that addresses the Supply Chain in a relevant way, the organization can achieve benefits that put it in a competitive position in the market.

The study aims to present the industry's 4.0 concepts and facilities available on the market, applied in a German instrumentation and control industry in Brazil. The study aims to present advanced manufacturing technologies that are already being applied in the company studied. As a research method, a bibliographic review is done first, followed by a qualitative, quantitative and descriptive analysis of the results of a case study. The results are intended to present the company's maturity level in relation to Industry 4.0 (I.4.0) as well as to diagnose possible new applications to increase the control and monitoring of its activities. At the end of the paper, suggestions for future studies will be available to complement the methodology proposed in this study.