Implementação da eficiência global de equipamento (OEE) no padrão de produção e análise de impactos

Nowadays, there is a need for improvements in production processes for companies to be competitive, as it is an obligation of businesses, it is necessary to know about the production processes accurately, to learn where improvements in work and thus have large impacts results. The calculation of efficiency of production lines is necessary to know as much about the progress of production and for product costing, when the measurement is not suitable, it generates negative impacts on the company. Due to the impact generated by this parameter, the graduation work carry out the study of change in a method that does not include all requirements necessary, by another method known as Overall Equipment Effectiveness, and according to studies, covering various parameters, showing become more consistent. These values are contained in the pattern production which is used to fund the product, thereby also occur financial impacts. Thus the work will study the change along with the analysis of impacts caused by the change

Implementação do OEE nas máquinas de laminação a frio

Through a description of the productivity problems experienced by some enterprises, to optimize their respective production lines, results of poor performance or low quality, the following work aims to explain and demonstrate the practical application of the theory of overall equipment effectiveness (OEE) on cold lamination machines in a steel industry . The project, to ensure your goal, is based on structuring a complete planning to increase levels of performance, availability and quality relating to rolling. On completion of the work, will be presented forecasts of future goals for the OEE, to search for continuous improvement and global standards of efficiency, taking into account, the sector the company operates, the history of the laminators, and financial aspects

Implementação da metodologia TPM em uma indústria do setor de higiene pessoal, saúde e beleza

This work presents a project of Action Search in a consumption industry of the sector of personal care, health and beauty. Following the implementation steps of Autonomous Maintenance Pillar of TPM methodology, stands for Total Productive Maintenance, this work aims to ensure the advancement of some machines in a production line of the company to the next steps of the methodology implementation, demonstrating the results achieved by the TPM. In the company in question, the TPM has been implemented in the past but lost strength over the years and some of its concepts were abandoned, producing then a drop in the equipments efficiency, increased wastes and breaks in the processes, as well as loss in product quality. Then, the need arose to restart the implementation process from the beginning, to strictly follow all the steps of the methodology, ensuring increased efficiency of equipment and processes. Through training and a changing in the company culture, it was possible a joint effort between Operation and Maintenance in order to enhance the knowledge of the operators on their machines. Initially, it was developed a general cleanliness program of equipments so that it could be possible to find the anomalies in the process. Subsequently, operators and maintainers were trained to detect anomalies, enabling equipments to work under their basic conditions of operation and subsequently building provisional standards of equipment cleaning, lubrication and inspection. Through the improvement presented by some indicators such as OEE, wastes, bankruptcies and unavailability, it was proved the importance and the positive effects of TPM implementation in manufacturing

Pesquisa-ação sobre o uso de indicadores de desempenho do equipamento em uma fábrica de geradores

In the industrial environment the challenge is use better the productive resources: people and machine. The following work has the main goal improve the efficient losses analysis in the stator bar’s production bottleneck equipment situated in the Electric generator’s factory. The action research involved Theory of Constraints on the restriction system identification and developed the data collection framework by losses typology for indicator measurement. The research showed the data collection standardization importance to obtain reliable data and strategic efficiency indicator to optimize equipments. Besides of this, OEE and TEEP indicator demonstrated efficiency results to analyze the actual efficiency when the machine works and the increase capacity opportunity to treat the hide costs in the organization following the continuous improvement

Melhoria de eficiência de máquinas pela metodologia DMAIC em eventos Kaizen

In a highly competitive and globally integrated market, excellence in production processes has become a survival factor, instead of just a differential point. In this context, companies from various sectors have resorted to philosophies and techniques already established in the literature to improve the efficiency of their production processes. This paper discusses aspects and techniques used to improve the production efficiency of a multinational company that manufactures surgical devices to a global market. Through DMAIC methodology, there were found opportunities to improve machines' efficiency by OEE, an efficiency indicator, in Kaizen Events. A case study was conducted to analyze the methodology and to identify good practices and difficulties along the way

Análise envoltória de dados combinada com a lógica fuzzy em problemas de avaliação de eficiência de máquinas de consumo: um estudo em empresa do segmento farmacêutico

The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper