Melhorias dos processos no setor de expedição em uma transportadora de cargas fracionadas

The transport market has forced organizations reduce the cost of services and processes, resulting from the highly competitive and, for such waste at all levels and processes are a focus of study for its elimination. This study refers to carrier fractional loads, located in the municipality of Itapecerica da Serra Layout and headquartered in São Paulo, which requires a rapid development throughout its structure, because its expansion was not accompanied by an evolution of effective processes. The need to increase efficiency in delivery with a reduced cost of transport forced the company to hire a logistics consulting to help identify potential bottlenecks in processes, suggest improvements with greater impact and implementation at the end of a critical analysis of results. This work focuses on the Layout of the warehouse shipping area of this organization and we used the method of action research to the consultant and involved could reach this conclusion collaboratively, as well as interviews with those involved in the process and also visual observation. Tools such as Key Performance Indicator, Mapping Workflow, Analytic Hierarchy Process, Applied Statistics and Standard Operating Procedure were used to assist in the identification, analysis and implementation of the proposed improvements

Ciclo PDCA e ferramentas da qualidade em operações e serviços de e-commerce

The market has forced companies to maintain high levels of control over their processes , ensuring a product or service quality to its customers . This study comes in the issuance and registration carried out in a company of e-commerce , which is showing problems with the values of weights and dimensions used in the cases cited . The need to eliminate wasteful spending freight caused by shipment of products weighing more than the reality, and to increase the reliability of the information used in the management of processes led to the planning of this project . This work focuses on the development of a PDCA cycle to work in the identification and correction of the causes of the problem , in order to neutralize the current complications and ensure that the problem does not appear again. To aid the mapping of the processes involved , identifying the causes of the problem and implementation of the proposed improvements were used quality tools such as flowcharts , Ishikawa diagrams , Pareto diagrams , and applied statistics

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.

Multivariate quality control studies applied to Ca(II) and Mg(II) determination by a portable method

A portable or field test method for simultaneous spectrophotometric determination of calcium and magnesium in water using multivariate partial least squares (PLS) calibration methods is proposed. The method is based on the reaction between the analytes and methylthymol blue at pH 11. The spectral information was used as the X-block, and the Ca(II) and Mg(II) concentrations obtained by a reference technique (ICP-AES) were used as the Y-block. Two series of analyses were performed, with a month's difference between them. The first series was used as the calibration set and the second one as the validation set. Multivariate statistical process control (MSPC) techniques, based on statistics from principal component models, were used to study the features and evolution with time of the spectral signals. Signal standardization was used to correct the deviations between series. Method validation was performed by comparing the predictions of the PLS model with the reference Ca(II) and Mg(II) concentrations determined by ICP-AES using the joint interval test for the slope and intercept of the regression line with errors in both axes. (C) 1998 John Wiley & Sons, Ltd.

Second-order statistics for diversity-combining, techniques in Nakagami-fading channels

Exact and closed-form expressions for the level crossing rate and average fade duration are presented for the M branch pure selection combining (PSC), equal gain combining (EGC), and maximal ratio combining (MRC) techniques, assuming independent branches in a Nakagami environment. The analytical results are thoroughly validated by reducing the general case to some special cases, for which the solutions are known, and by means of simulation for the more general case. The model developed here is general and can be easily applied to other fading statistics (e.g., Rice).

Anfis applied to the prediction of surface roughness in grinding of advanced ceramics

This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission sensor and a power transducer connected to the electric motor rotating the diamond grinding wheel. The alumina workpieces used in this work were pressed and sintered into rectangular bars. Acoustic emission and cutting power signals were collected during the tests and digitally processed to calculate the mean, standard deviation, and two other statistical data. These statistics, as well the root mean square of the acoustic emission and cutting power signals were used as input data for ANFIS. The output values of surface roughness (measured during the tests) were implemented for training and validation of the model. The results indicated that an ANFIS network is an excellent tool when applied to predict the surface roughness of ceramic workpieces in the grinding process.

A non-homogeneous poisson model with spatial anisotropy applied to ozone data from Mexico City

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics

Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq)