23 resultados para Small and medium enterprise (SME)


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Pós-graduação em Ciência da Computação - IBILCE

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The use of environmental management systems - EMS has shown to be a key tool for addressing the environmental aspects and impacts of an organization. The vast majority of EMS based on the requirements of ISO 14001:2004, as it is a globally recognized standard and adopt its recommendations is considered to be a guarantee of fulfilling the basic requirements of an EMS. Despite all the benefits that the system provides, we still find many problems in the implementation of EMS, especially in small and medium enterprises or SME. Most of the difficulties of implementation is related to intrinsic factors that companies of this size have, and issues related to the models and methods used to implement an EMS. Thus, this work aimed to assess whether the guidelines of ISO 14005:2012 meet the needs of SMEs for the effective implementation of an environmental management system. For it has been identified in the relation between SMEs and EMS the majof intrinsic problems of SMEs to implement (PII), such as lack of financial and human resources, and lack of commitment from top management to the SGA. Also was also pointed the main implementation issues related to ISO 14001 (ABNT, 2004) or the models or methods (PIM), highlighting the lack of environmental performance criteria, and the need for a path or sequence of steps for implementation. The study of ISO 14005 (ABNT, 2012) showed that the standard guidelines and implementation examples proposed, include solutions for all problems related to EMS implementation SMEs

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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To assess the influence of anatomic location on the relationship between computed tomography (CT) number and X-ray attenuation in limited and medium field-of-view (FOV) scans. Materials and Methods Tubes containing solutions with different concentrations of K2HPO4 were placed in the tooth sockets of a human head phantom. Cone-beam computed tomography (CBCT) scans were acquired, and CT numbers of the K2HPO4 solutions were measured. The relationship between CT number and K2HPO4 concentration was examined by linear regression analyses. Then, the variation in CT number according to anatomic location was examined. Results The relationship between K2HPO4 concentration and CT number was strongly linear. The slopes of the linear regressions for the limited FOVs were almost 2-fold lower than those for the medium FOVs. The absolute CT number differed between imaging protocols and anatomic locations. Conclusion There is a strong linear relationship between X-ray attenuation and CT number. The specific imaging protocol and anatomic location of the object strongly influence this relationship.

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To achieve sustainable development, supply chains must become greener. In this context, the importance of green supply chain management (GSCM) increases because it can contribute to improving firms'environmental performance (EP). However, little is known about these subjects in the context of firms in the bioenergy sector (sugarcane and ethanol production in Brazil). Thus, the objective of this work is to present the results of a survey conducted on 80 micro-, small-, and medium-sized firms that are suppliers in the Brazilian bioenergy sector (sugarcane and ethanol production). These results indicate that GSCM practices strengthen the EP of firms in the sector. Therefore, this article contributes to the existing literature because it addresses the relationship between GSCM and EP in an understudied sector (sugarcane and ethanol production). (C) 2014 Elsevier Ltd. All rights reserved.

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Analysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of breeding programs in small, endangered populations. The objective of the paper was to demonstrate how genomic data could be used to analyse (1) linkage disequlibrium (LD), LD decay and the effective population size (NeLD); (2) Inbreeding level and effective population size (NeROH) based on runs of homozygosity (ROH); (3) Prediction of genomic breeding values (GEBV) using small within-breed and genomic information from other breeds. The Tyrol Grey population was used as an example, with the goal to highlight the potential of genomic analyses for small breeds. In addition to our own results we discuss additional use of genomics to assess relatedness, admixture proportions, and inheritance of harmful variants. The example data set consisted of 218 Tyrol Grey bull genotypes, which were all available AI bulls in the population. After standard quality control restrictions 34,581 SNPs remained for the analysis. A separate quality control was applied to determine ROH levels based on Illumina GenCall and Illumina GenTrain scores, resulting into 211 bulls and 33,604 SNPs. LD was computed as the squared correlation coefficient between SNPs within a 10 mega base pair (Mb) region. ROHs were derived based on regions covering at least 4, 8, and 16 Mb, suggesting that animals had common ancestors approximately 12, 6, and 3 generations ago, respectively. The corresponding mean inbreeding coefficients (F ROH) were 4.0% for 4 Mb, 2.9% for 8 Mb and 1.6% for 16 Mb runs. With an average generation interval of 5.66 years, estimated NeROH was 125 (NeROH>16 Mb), 186 (NeROH>8 Mb) and 370 (NeROH>4 Mb) indicating strict avoidance of close inbreeding in the population. The LD was used as an alternative method to infer the population history and the Ne. The results show a continuous decrease in NeLD, to 780, 120, and 80 for 100, 10, and 5 generations ago, respectively. Genomic selection was developed for and is working well in large breeds. The same methodology was applied in Tyrol Grey cattle, using different reference populations. Contrary to the expectations, the accuracy of GEBVs with very small within breed reference populations were very high, between 0.13-0.91 and 0.12-0.63, when estimated breeding values and deregressed breeding values were used as pseudo-phenotypes, respectively. Subsequent analyses confirmed the high accuracies being a consequence of low reliabilities of pseudo-phenotypes in the validation set, thus being heavily influenced by parent averages. Multi-breed and across breed reference sets gave inconsistent and lower accuracies. Genomic information may have a crucial role in management of small breeds, even if its primary usage differs from that of large breeds. It allows to assess relatedness between individuals, trends in inbreeding and to take decisions accordingly. These decisions would be based on the real genome architecture, rather than conventional pedigree information, which can be missing or incomplete. We strongly suggest the routine genotyping of all individuals that belong to a small breed in order to facilitate the effective management of endangered livestock populations.

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The local productive arrangements (LPA) are organizational mechanisms that enable the continuous performance of small businesses in production processes and business management models. To promote continuous improvement is essential that companies make decisions based on data that reflects business’ performance (performance measurement) and promote the cluster performance. This way, the aim of this article is to describe the performance measurement process that will support the corporate management of Micro and Small enterprises (SME) of a Local Productive Arrangement in Maringá, State of Paraná, Brazil. To develop this paper, the bibliographic search and action research methods were used. The field research was developed from the cooperation project (PROJVEST) conducted at the LPA, which goal is to deploy improvement actions in project’s participating companies. Metrics and performance indicators constructed from the diagnosis in the areas of Production, Quality and Ergonomics in companies will be presented. Among the main results, can be pointed out that the performance management of LPA is promoting the introduction of corporate management practices in SMEs, stimulating business cooperation, the continuous innovation in manufacturing processes and product quality and business processes.

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Purpose – The purpose of this paper is to investigate how company size and the type of production system affect the adoption of supply chain management (SCM) practices in companies in the electro‐electronics sector in Brazil. Design/methodology/approach – An e‐mail survey of 107 companies associated with the Brazilian Electrical and Electronics Industry Association (ABINEE) was conducted. Statistical techniques were employed to verify the adoption of SCM practices according to the size of the company and its production system. Findings – The major results indicate that the larger the size of the company, the higher the level of adoption of SCM practices, and that the choice of SCM practices depends upon the type of production system implemented. Practical implications – The implications of this study are useful to top management leaders of small and medium‐sized enterprises since the findings enable them to identify the most common practices adopted by either large‐, medium‐ or small‐sized companies in order to benchmark the level of adoption of SCM practices. Production managers can also benefit from this study by identifying the SCM practices that may support certain production systems.