Gestão de gastos imprevistos no abastecimento de matéria-prima de uma fábrica

La performance desentreprises ça dépend, engrande partie, deses chaînesd’approvisionnement. Celas peuvent entretrès complexe, car elle implique tout le processus avant, pendant et après l’assemblage duproduit fini. Ce travaila donc comme objectifl’amélioration de lagestion des imprévus qu’arrivent audébutdela chaîne d’approvisionnement et lesimpacts sur l’approvisionnement de la ligne d’assemblage d’une usine. L’approche méthodologique utilisée est la recherche-action. De cette façon, ce travail présente une standardisation des processusquechaque département doit fairedans uncas de rupture dans la chaîne. D’après entretiens, analyses de document, standardisation des organigrammes et graphiques croisés dynamiques, ila été possible proposer un moyen plus critique d’analyser et résoudre certains problèmes. En tant que résultats, viennent un organigramme défini, une divulgation des informations plus précises pour la prise en décision et unes l’analyse critique de l’historique des imprévus. Il s’agit d’un ensemble des processus meilleur pour une bonne prise en décision de court, moyen et long terme pour les dépenses avec des imprévus dans l’approvisionnement de matière-première de l’usine

Gerenciamento de inventário por meio de ferramentas de controle da produção em empresas de higiene pessoal, perfumaria e cosméticos

This action-research work presents tools which are related to production monitoring: Follow-up of Products Release from Quality Department and Follow-up of Production Volumes. Both tools allows controlling release delays of finished goods based on the quality specifications, and the accurate analysis of production volumes variations compared to pre-established plans. They have direct impact into enterprises inventory levels that are part of Toiletries, Perfumery and Cosmetics market segment. By applying these tools, it´s possible to identify opportunities for process optimization that brings benefits for the final customer. The results seen by the tools application are presented by the analysis of delayed stock for release quantities evolution and testimonies from professionals of Supply Chain

Seleção de fornecedores em uma indústria de transformadores utilizando o método de análise hierárquica

The optimal supply chain management (SCM) is considered by the companies a new frontier in order to gain efficiently competitive advantage. Through the SCM companies must define their competitive strategies by positioning inside the supply chain wich belongs both as suppliers and as consumers. The main objectives of SCM is integrate multiple suppliers to satisfy the market demand and make possible the synergies between the parts of the supply chain in order to better serve the consumer Meanwhile, selection, evaluation and development of suppliers play important roles in establishing an efficient supply chain. Thus, the SCM covers elements such as manufacturing, assembly, raw materials, and distribution to the final consumer. Due to the factors described, the focus of this paper is to present the Analytic Hierarchical Process (AHP) application as an appropriate and structured method for the supplier selection of a strategic line of low voltage transformers of a transformers industry and compare it with the selection process currently used by this industry, showing the advantages of applying a multiple criteria decision making method. In this study, the research methodology used was modeling and simulation

Avaliação de projetos logísticos de RFID aplicados na indústria aeronáutica brasileira

Pós-graduação em Engenharia Mecânica - FEG

Estudo da implementação do Warehouse Management System em uma empresa produtora de embreagens

In the supply chain management there are several risk factors that must be mitigated to increase the flow of production and as a possible solution the literature cites the implementation of a warehouse management system, but this subject is few explored. This thesis has as main objective the study of the implementation of a warehouse management system in a company from the automotive sector that produces clutches. As results, are shown data of the characterization of items; as well as data and comparisons between disruptions in production reports due to lack of material before and after the implementation of WMS and is presented the result of a questionnaire applied to the involved on the implementation of the system, the results were associated with the risk factors on the implementation of the system studied on the literature review, and enumeration of the results that are not associated with any factors previously studied. And finally, the study is concluded and are recommended future studies related to the theme

Implantação do sistema kanban para elementos de fixação em maquinas de movimentação de terra

Always seeking the maximum profit under the reduced production time and lower number of failures, companies are increasingly evolving and going after continuous improvement in order to remain competitive in the market. Thus, increasingly there is investment in the management system Lean manufacturing. Lean system is very important, because through it, the maximum value is added in the final product. Being measured by the efficiency and reducing failures to zero. In the studied company, Lean manufacturing system came into effect through the kanban system for purchasing, control and distribution of bulk material used in the assembly of the final product, which are earth-moving machines. It is very important to check the great change made in the company with the implementation of kanban. All inventory management becomes visual, elements are arranged in an organized manner, with addresses in structures, calculated in special boxes and finally, assemblers have the guarantee of an item supply, with the distribution cars located on their assembly area. This study participates effectively assuring the supply. Avoiding any failure on the lack of material, non-compliance of delivery times to the customer and maintenance of over-stock or obsolete inventory, in which case both cause financial loss to the company

Análise dos fatores influentes nos riscos de descontinuidade na cadeia de peças de reposição automotivas

Pós-graduação em Engenharia Mecânica - FEG

Dimensões da qualidade em serviços: um estudo no setor de B2C brasileiro

With the focus on quality of services, this work uses a methodology based on questionnaires for evaluating companies and consumers, with the objective of studying the dimensions of quality within the segment of Brazilian e-commerce. The research conducted a study to identify the situation of companies regarding the dimensions of quality and, among costumers, a survey was done to determine their requirements with regard to these dimensions and to identify those dimensions considered as winning factors when making the orders. The results demonstrate that customers consider reliability to be the most important order winner, followed by safety and communications. The study of these enterprises demonstrates that their quality of service is good, however there is a need for improvements in the business processes related to the dimensions of service quality.

Análise dos benefícios do edi para a competitividade logística das organizações

The concept of EDI -Electronic Data Interchange is normally used to determine integration technologies between companies. Logistically, this implies in the integrationbetween enterprises in supply chain, involving the electronic transmission of data and thus reducing human intervention in the process, still favoring organizational performance. This study investigated the main benefits of EDI for organizational competitiveness and its possible impacton improving logistics performance of four companies comprising large national networks. Through multiple case studieswere able to identify common features that the use of EDI can favorer these companies. The results were significant and assume that the use of this tool can add value to logistics, primarily through streamlining processes, inventory optimization, cost reduction and performance improvement potential. Thus, the use of Electronic Data Interchange as a strategic tool for logistics proved, through this study, an efficient alternative for business improvement and good practice, able to leverage competitive advantages not only for individual companies, but also for the entire supply chain.

Contribuições para a melhoria da gestão de resíduos de eletroeletrônicos no Brasil, no contexto da sustentabilidade ambiental

Pós-graduação em Engenharia de Produção - FEG

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

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