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 auto-regressiva na previsão de demanda dos produtos de uma empresa do setor químico

Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain

Reestruturação e automação de processos: caso de um processo da área de compras e suprimentos de uma empresa brasileira do setor de mídia

Innovation in the field of Information Technology (IT) have made companies evaluate their processes and activity of its supply chain to conform to this new reality. In the supply chain management, one of the tools that revolutionized the activities was the use of management information systems such as ERP tool. This system allows greater integration of data from multiple areas of the enterprise and beyond, giving more activities to processes and activities. This work aims to analyze the results and impacts of the restructuring of an equipment leasing process in a Brazilian media company and verify that the gains and improvements that were targeted in the initial design of this restructuring have been achieved. Also the risks identified with this change will be studied, the reactions of those involved in this process and the performance of the chain as a whole. To carry out this work was carried out a single case study with data collection in the assessed company and literature related to supply chain and information systems