A Aplicação de um modelo matemático na resolução de um problema de carregamento de paletes

Global competitiveness has been increased significantly in the last decade and, as consequence, companies are always looking for developing better processes in supply chain operations in order to maintain their competitive costs and keep themselves in the business. Logistics operations represent a large part of the product's final cost. Transportation can represent more than fifty percent of final cost sometimes. The solutions for cutting and packing problems consist in simple and low investment actions, as enhancing the arrangement of the transported load in order to decrease both material and room wastes. As per the presented reasons, the objective of this paper is to show and analyze a real application of a mathematical model to solve a manufacturer pallet-loading problem, comparing results from the model execution and the solution proposed by the company studied. This study will not only find the best arrangement to load pallets (which will optimize storage and transportation process), but also to check the effectiveness of existing modeling in the literature. For this study a computational package was used, which consists of a modeling language GAMS with the CPLEX optimization solver and two other existing software in the market, all of them indicating that an accurate mathematical model for solving this kind of problem in a two-dimensional approach is difficult to be found, in addition to a long execution time. However, the study and the software utilization indicate that the problem would be easily solved by heuristics in a shorter execution time

Modelagem fuzzy de dados climáticos estimados por modelo matemático - CCATT-BRAMS

Pós-graduação em Engenharia Mecânica - FEG

Identificação taxonômica e análise conexionista de bactérias heterotróficas e fatores abióticos de ambientes lóticos sob influência de efluentes do refino no petróleo

This study used a multi-analytical approach based on traditional microbiological methods for cultivation and isolation of heterotrophic bacteria in the laboratory associated with the molecular identification of the isolates and physicochemical analysis of environmental samples. The model chosen for data integration was supported by knowledge from computational neuroscience, and composed by three modules: (i) microbiological parameters, contemplating taxonomic data obtained from the partial sequencing of the 16S rRNA gene from 80 colonies of heterotrophic bacteria isolated by plating method in PCA media. For bacterial colonies isolation were used water samples from Atibaia and Jaguarí rivers collected at the site of water captation for use in effluent treatment, upstream from the entrance of treated effluent from the Paulínia refinery (REPLAN/Petrobras) located in the Paulínia-SP municipality, from the output of the biological treatment plant with stabilization pond and from the raw refinery wastewater; (ii) chemical parameters, ending measures of dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), chloride, acidity CaCO3, alkalinity, ammonia, nitrite, nitrate, dissolved ions, sulfides, oils and greases; and (iii) physical parameters, comprising the pH determination, conductivity, temperature, transparency, settleable solids, suspended and soluble solids, volatile material, remaining fixing material (RFM), apparent color and turbidity. The results revealed interesting theoretical relationships involving two families of bacteria (Carnobacteriaceae and Aeromonadaceae). Carnobacteriaceae revealed positive theoretical relationships with COD, BOD, nitrate, chloride, temperature, conductivity and apparent color and negative theoretical relationships with the OD. Positive theoretical relationships were shown between Aeromonadaceae and OD and nitrate, while this bacterial family showed negative theoretical...