A Deus pela luz que sempre ilumina meus caminhos. Aos meus pais, José Américo e Maria Lúcia, aos meus irmãos, Ana Paula, Regina, Luis Henrique e Andréa, e a todos os meus familiares pela presença, carinho, compreensão e apoio despendido em todas as etapas de minha vida. Ao meu orientador, Prof. Dr. Jefferson B. L. Liborio, pelo aprendizado constante, fruto da construção do conhecimento aliada à amizade e ao companheirismo. À Profa. Dra. Mônica Pinto Barbosa, responsável pelo meu ingresso à pesquisa do concreto. Aos técnicos do LMABC e do Laboratório de Estruturas, e aos professores, funcionários e colegas da EESC-USP que colaboraram efetivamente para a realização desta pesquisa.
In this study a model was developed for analyzing communication on the shop floor using a Structural Equation Modeling with Partial Least Squares estimation (Partial Least Square, PLS). The model included as an exogenous variable (independent) Knowledge Management (KM), and four endogenous variables (dependent): Written Communication (WC), Oral Communication (OC), Man interaction with Information and Communication Technologies (M-ICT), and Operational Communication (OpC). The data for the exploratory study were collected in a land-based oil production region in the Northeast of Brazil. The data analysis was performed using the SmartPLS ® software. The structural model supported six of the nine hypotheses proposed, presenting statistical significance and predictive relevance. The evaluation of Pearson's determination coefficients (R 2) demonstrated a satisfactory degree of adjustment and adherence in explaining the variance of endogenous variables. The effect size (f 2) of the variance explained by the exogenous variable in the four endogenous variables was classified as "very strong", as shown: in WC f 2 = 0.802; OC f 2 = 0.825; M-ICT f 2 = 2,534; and OpC f 2 = 2.003. The model presented predictive validity, KM showed effect (q 2) classified as "very high" in the M-ICT and OpC. The effect (q 2) of KM on WC and OC presented predictive relevance between medium and high, with q 2 = 0.337 and q 2 = 0.267, respectively. The causal relationships between the observed variables and the percentage of participation of each indicator in its construct are contributions to the management of information about production.
Communication problems are directly or indirectly related to the causes of industrial accidents. This may be associated with problems in information management at the operational level. Before evaluating information management on the shop floor, a documentary analysis was carried out in this study to identify problems in the communication among the causes of 5 accidents in the oil sector in Brazil. After documentary analysis, an adaptive neuro-fuzzy inference system (ANFIS) was developed to assess
Socioeconomic metabolism (SEM) is the exchange of materials and energy between society and the environment involving the social, economic and environmental sectors. In this paper, a boundary was defined between the economic (consumption) and environmental (waste recovery) limits in a city of 300,000 inhabitants in relation to the circulation (generation, reuse and disposal) of end-of-life tires (ELTs). The objective was to elaborate a theoretical structural model to evaluate the socioeconomic metabolism of waste (SEMw) by means of technical constructs (direct material flows (DMF), reverse material flows (RMF), socioeconomic environment (SEF) and sociodemographic factors (SDF)). Structural Equation Modeling (SEMm) was performed using Partial Least Squares Structural Equation Modeling (SmartPLS) software. The results obtained from the hypotheses show the causal relationships between the technical and social constructs and suggest guidelines for supporting the planning and management of urban solid waste in the collection and final disposal of ELTs. The processed information also contributes to the analysis of the city’s socioeconomic scenarios in relation to the disposal of ELTs. One of the hypotheses tested (RMF have a direct effect on SEMw) shows the importance of managing ELTs through the correct final disposal of waste and recycling. SEMw was evaluated from the perception of the local society and it is concluded that it is possible to plan public policies to avoid the formation of waste inventory in the city.
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