975 resultados para OEE,DMAIC,sixsigma,lean,gantt,sipoc,ishikawa,pareto,controllo,carte


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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

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Com a crescente competitividade dos mercados, em parte devido à conjuntura económica atual, as organizações viram-se obrigadas a adotar estratégias de gestão que lhes permitissem reduzir custos e aumentar a eficácia e eficiência dos seus processos. Como tal, são cada vez mais as empresas que apostam em práticas de melhoria contínua, para de um modo estruturado fazerem face ao desperdício gerado ao longo da cadeia de abastecimento, bem como à variabilidade dos seus processos. Uma das abordagens frequentemente utilizada dentro das empresas industriais é o Lean Seis Sigma. O ciclo DMAIC é um método sequencial que por meio das etapas Define, Measure, Analyse, Improve e Control, auxilia a implementação estruturada de iniciativas de melhoria contínua, tais como os projetos Lean Seis Sigma. O objetivo do caso de estudo da presente dissertação é, através da criação de stocks de segurança e da otimização do nível de stocks de produto acabado, alcançar uma redução do valor financeiro imobilizado no armazém de produto final de uma empresa da indústria vidreira. Nesse sentido, foram aplicadas diversas ferramentas Lean e Seis Sigma com o intuito de recolher dados válidos, analisar as causas da raiz do problema e ulteriormente propor as devidas melhorias. Constatou-se que a inexistência de stocks de segurança, bem como a ausência de uma classificação dos stocks de acordo a média diária de expedições, influi negativamente na organização dos níveis de stock de uma empresa, levando a que a rotatividade dos artigos seja reduzida. Consequentemente, a aplicação do ciclo DMAIC, com especial enfoque na Análise ABC como ferramenta de gestão e controlo de stocks, gera benefícios que podem ser traduzidos para outras organizações, ao nível do aumento da qualidade e da satisfação dos clientes.

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Dissertação de mestrado integrado em Engenharia e Gestão Industrial

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Dissertação de mestrado em Engenharia Industrial

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Dissertação de mestrado integrado em Engenharia e Gestão Industrial

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The objective of this research is to demonstrate the use of Lean Six Sigma methodology in a manufacturing lead time improvement project. Moreover, the goal is to develop working solutions for the target company to improve its manufacturing lead time. The theoretical background is achieved through exploring the literature of Six Sigma, Lean and Lean Six Sigma. The development will be done in collaboration with the related stakeholders, by following the Lean Six Sigma improvement process DMAIC and by analyzing the process data from the target company. The focus of this research is in demonstrating how to use Lean Six Sigma improvement process DMAIC in practice, rather than in comparing Lean Six Sigma to other improvement methodologies. In order to validate the manufacturing system’s current state, improvement potential and solutions, statistical tools such as linear regression analysis were used. This ensured that all the decisions were as heavily based on actual data as possible. As a result of this research, a set of solutions were developed and implemented in the target company. These solutions included batch size reduction, bottleneck shift, first-in first-out queuing and shifting a data entry task from production planners to line workers. With the use of these solutions, the target company was able to reduce its manufacturing lead time by over one third.

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Imagine the potential implications of an organization whose business and IT processes are well aligned and are capable of reactively and proactively responding to the external and internal changes. The Philips IT Infrastructure and Operations department (I&O) is undergoing a series of transformation activities to help Philips business keeping up with the changes. I&O would serve a critical function in any business sectors; given that the I&O’s strategy switched from “design, build and run” to “specify, acquire and performance manage”, that function is amplified. In 2013, I&O’s biggest transforming programme I&O Futures engaged multiple interdisciplinary departments and programs on decommissioning legacy processes and restructuring new processes with respect to the Information Technology Internet Library (ITIL), helping I&O to achieve a common infrastructure and operating platform (CI&OP). The author joined I&O Futures in the early 2014 and contributed to the CI&OP release 1, during which a designed model Bing Box and its evaluations were conducted through the lens of six sigma’s structured define-measure-analyze-improve-control (DMAIC) improvement approach. This Bing Box model was intended to firstly combine business and IT principles, namely Lean IT, Agile, ITIL best practices, and Aspect-oriented programming (AOP) into a framework. Secondly, the author implemented the modularized optimization cycles according to the defined framework into Philips’ ITIL-based processes and, subsequently, to enhance business process performance as well as to increase efficiency of the optimization cycles. The unique of this thesis is that the Bing Box model not only provided comprehensive optimization approaches and principles for business process performance, but also integrated and standardized optimization modules for the optimization process itself. The research followed a design research guideline that seek to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts. The Chapter 2 firstly reviewed the current research on Lean Six Sigma, Agile, AOP and ITIL, aiming at identifying the broad conceptual bases for this study. In Chapter 3, we included the process of constructing the Bing Box model. The Chapter 4 described the adoption of Bing Box model: two-implementation case validated by stakeholders through observations and interviews. Chapter 5 contained the concluding remarks, the limitation of this research work and the future research areas. Chapter 6 provided the references used in this thesis.

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Project scope is to utilize Six Sigma DMAIC approach and lean principles to improve production quality of the case company. Six Sigma tools and techniques are explored through a literature review and later used in the quality control phase. The focus is set on the Pareto analysis to demonstrate the most evident development areas in the production. Materials that are not delivered to the customer or materials that damaged during transportation comprise the biggest share of all feedbacks. The goal is set to reduce these feedbacks by 50 %. Production observation pointed out that not only material shortages but also over-production is a daily situation. As a result, an initial picking list where the purchased and own production components can be seen, is created, reduction of over- and underproduction and material marking improvement are seen the most competitive options so that the goal can be reached. The picking list development should still continue to make sure that the list can be used not only in the case study but also in the industrial scale. The reduction of material missing category can be evaluated reliably not sooner than in few years because it takes time to gather the needed statistical information.

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Esta dissertação apresenta a implementação das etapas do método DMAIC (Definir, Medir, Analisar, Melhorar e Controlar) no desenvolvimento de um projeto Seis Sigma em uma indústria petroquímica. O objetivo do projeto Seis Sigma foi reduzir a variabilidade de uma característica de qualidade crítica para o cliente e diminuir a dispersão dos tempos de reação entre as bateladas na produção de elastômeros. Neste trabalho são apresentadas as principais técnicas e ferramentas estatísticas utilizadas nas cinco etapas do método DMAIC, tais como brainstorming, mapeamento de processo, diagrama de causa e efeito, matriz da causa e efeito, gráfico de Pareto, FMEA e análise de regressão linear múltipla. A pesquisa desenvolvida de forma participativa, através da interação entre o pesquisador e os especialistas do processo, evidenciou a importância do conhecimento técnico do processo e um bom planejamento para a aquisição dos dados, como pontos importantes para a realização de um projeto de melhoria bem sucedido. O estudo apontou ainda, deficiências no sistema de controle de temperatura do reator, no sistema de medição para a característica de qualidade viscosidade Mooney e no sistema de dosagem dos insumos.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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With the advent of a global economy, Lean Six Sigma meets the demand of new production process that creates products within the customer’s specification without any wastage. The objectives of this work is to use the concepts Lean Manufacturing and Six Sigma parallel to minimize costs, increase the customer base, reduce the delivery time which implies an increase in the turnover of products on the shelves in a packaging company. We used the DMAIC method to continue working. The method DMAIC indicated the main failure modes that were fixed in the step improve. At this stage the tools of Lean Manufacturing gain tremendous value by optimizing processes with defects. The conclusion involves an increase in monthly billing, a corporate restructuring and, finally, a renewal in how to conduct the work of management

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This thesis aims to analyze the applicability of Lean Six Sigma and DMAIC to improve processes focused on agriculture. We discuss the origins of each system separately, Lean Manufacturing, the Toyota plants in Japan, and Six Sigma, by Motorola in the U.S., and then appears to merge them and can meet their complementarities and synergy between their tools. Finally, we describe a case study focused on the harvesting department, applicable to all types of manuals crops, covering the production of fruits, vegetables and greens. This study shows the ability to reduce costs, increase productivity and elimination of defects that the methodology developed with the fusion of Lean Manufacturing with Six Sigma allows

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This work consists of the implementation of the steps Define, Measure , Analyze , Improve and Control ( DMAIC ) to develop a Six Sigma project in an industry the food industry. The objective was to demonstrate a potential for reducing the occurrence of crushed cans in potting milk powder industry in a White Belt project. The food industry accounts for about 9 % of Brazil's gross domestic product ( GDP ), generating thousands of jobs . Among the major sectors of the food industry is the manufacturing sector of milk , occupies approximately 10 % of the total turnover of the food industry . Brazil is considered today one of the eight largest producers of milk powder in the world. The milk powder is packed , mostly for aluminum cans that are lined internally with varnishes and other materials to protect the milk of metals from aluminum. When the cans are dented food protection is compromised and may lead ingestion causing dis-eases such as botulism. Aiming to solve the problem of dented cans methodology was used as a case study with a quantitative approach through the DMAIC method. Some quality tools used in each step of the project as brainstorming , cause and effect diagram , flowchart , ef-fort and impact matrix, 5W1H , among other Pareto diagram is presented . A survey about the disposal of cans in the company verifying a mean loss and, from this histor-ical , a goal loss was calculated was performed . With the target set we calculated the annual saving design . During application of DMAIC was found that the highest rate of loss occurred in transportation between the factory and the factory that fills cans milk . Several actions were taken to resolve problems that resulted in dented cans and the first two months of phase control it was found that the smaller losses calculated target resulting in a saving for the company. The short time of implementa-tion of the Improve phase did not allow a more detailed a ...

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Purpose – The purpose of this paper is to present the results of a success story involving the extending of lean manufacturing practices between a focal firm and its supplier, both located in Brazil, thereby configuring a case of excellence. Design/methodology/approach – An in-depth case study was conducted involving two companies: Company A, focal, leader in its segment, located in Brazil; and Company B, Company A's supplier, also located in Brazil. Findings – Results indicate there are several mechanisms for extending lean manufacturing practices in the supply chain, such as workshops, training, and integrated teams. These mechanisms are shown and guidelines are also introduced for companies seeking to successfully extend lean manufacturing practices. Originality/value – An original use of define, measure, analyze, improve, control for structuring the extending of lean manufacturing practices to suppliers and, consequently, the importance of the lean six-sigma relationship in this context. Furthermore, the guidelines introduced serve as a benchmark for other companies interested in the topic.

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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