Made available in DSpace on 2016-06-02T19:51:24Z (GMT). No. of bitstreams: 1 DissSJB.pdf: 1198587 bytes, checksum: 1d294b78ab991245636eb211cc176f0f (MD5) Previous issue date: 2006-12-15 / Financiadora de Estudos e Projetos / This research presents the application of the Strategic Manufacturing Management Paradigm (SMMP) identification method and the most appropriate SMMP for an organization in the three main footwear areas of the state of São Paulo: Franca, Birigui and Jaú. This method was developed by Godinho Filho e Fernandes (2006a). The research procedure used was survey. Thirty companies were selected using random probabilistic sampling, where 10 of them were interviewed in each studied area. Only 29 companies that composed the sample participated in the research. Based on the identification of the used SMMPs, it was verified that most of the companies didn t have strategic focus, which was elucidated by cases of inconsistency among ends and means. The SMMPs identified in some companies were: Responsive manufacturing and Mass customization. During the identification of the ideal SMMPs, it was observed that most of the companies focused non-coherent objectives due to the turbulence of the market in which they are inserted into. Amongst the SMMPs considered appropriate to some companies, the following could be identified: Responsive Manufacturing/ Mass Customization and Mass Customization/Agile Manufaturing. This dissertation presents contributions for the Production Management literature, by means of the identification of the possible types of strategic integration in an organization, as for the Brazilian shoe factoring market, supplying relevant information for a field that is in crisis, besides motivating new researches on the researched theme. / O presente trabalho apresenta a aplicação do método de identificação do Paradigma Estratégico de Gestão da Manufatura (PEGEM) utilizado e do PEGEM mais adequado para uma empresa nos três principais pólos do estado de São Paulo: Franca, Birigui e Jaú. Este método foi desenvolvido por Godinho Filho e Fernandes (2006a). O procedimento de pesquisa utilizado foi a pesquisa de avaliação, também conhecida como survey. Foram selecionadas 30 empresas por meio de amostragem probabilística e aleatória, na qual foram entrevistadas 10 em cada pólo estudado. Apenas 29 empresas que compunham a amostra participaram da pesquisa. Na identificação dos PEGEMs utilizados, verificou-se que a maioria das empresas se encontra sem foco estratégico, apresentando também, casos de inconsistência entre fins e meios. Os PEGEMs identificados em algumas empresas foram: Manufatura Responsiva e Customização em Massa. Durante a identificação dos PEGEMs ideais, observou-se que a maioria das empresas foca objetivos não coerentes com a turbulência do mercado em que atuam. Dentre os PEGEMs considerados adequados a algumas empresas, identificou-se: Manufatura Responsiva/Customização em Massa e Customização em Massa/Manufatura Ágil. Esta dissertação apresenta contribuições tanto para a literatura em Gestão da Produção, por meio da identificação dos tipos possíveis de integração estratégica em uma organização, como para o setor calçadista brasileiro, fornecendo informações relevantes para um setor que está em crise, além de motivar novas pesquisas sobre o tema pesquisado.

A gestão de Manufatura pela prática das ferramentas de manufatura enxuta, o Lean Manufacturing, tem sido amplamente discutida e tem sido um desafio para as empresas que se dispõem a seguir nesta direção, independente do seu porte ou ramo de negócio. A grande dificuldade encontrada está em conhecer se as ferramentas utilizadas estão corretamente aplicadas, entendidas e trazendo resultados para a Empresa. Este trabalho apresenta um sistema gerencial, o Lean Assessment, que busca a solução para identificar o estágio de implementação das ferramentas de manufatura enxuta, avaliando o estado corrente da aplicação dos seus princípios pela empresa, tais como: gestão de pessoas, padronização, qualidade, tempo de execução e melhoria contínua. Este estudo identifica, analisa e avalia estas ferramentas, apresentando as oportunidades para as melhorias que devem ser realizadas, no sentido de redirecionar o plano de implementação, buscando o seu alinhamento, eliminando os gaps encontrados, adotando uma gestão consistente das práticas de implementação e a sua relação ao plano de negócios, levando a empresa a um crescimento sustentável com maior competitividade no mercado. O Lean Assessment permite que as empresas possam implementar e ajustar as ferramentas priorizando-as, conforme os seus recursos humanos e financeiros. Partindo do princípio, que este sistema é a busca de soluções para as empresas através da eliminação dos desperdícios e processo de melhoria contínua, identificou-se a oportunidade de aplicar este sistema de avaliação, para verificar o nível de implementação destas ferramentas e consequentemente servir de base para a elaboração de um plano de ação adequado a empresa, buscando a migração do sistema tradicional de manufatura para o sistema de manufatura enxuta. / The management of Manufacture for practical of the lean manufacturing tools, "Lean Manufacturing", has been widely discussed and has been a challenge for those companies willing to follow to this direction, regardless of their size or business field. The difficulty lies in knowing if the used tools are correctly applied, understood and delivering results for the company. This study presents a management system, Lean Assessment, which seeks the solution to identify the level of implementation of lean manufacturing tools, evaluating the current state of the application of its principles by the company, such as: people management, standardization, quality, responsiveness and continuous improvement. Lean Assessment will allow to identify, analyze and evaluate the tools, presenting opportunities for the improvements that should be performed in order to redirect the implementation plan, searching its alignment, eliminating the gaps found by adopting a consistent management practices implementation and its relation to the business plan, leading the company to a sustainable growth with increased market competitiveness. The Lean Assessment will allow companies to implement and adjust the tools prioritizing them, as their human and financial resources. Assuming that this system is the search for solutions to companies through the waste elimination and continuous improvement process, we identified the opportunity to apply evaluation to check the status of these tools and therefore serve as baseline for developing an appropriate action plan, seeking to migrating from a traditional manufacturing to a lean manufacturing system.

Orientador: Antônio Batocchio / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-27T18:08:13Z (GMT). No. of bitstreams: 1 Miguel_CarlosHenrique_M.pdf: 3528187 bytes, checksum: 165344ab93862eb94649f13d1f4a8626 (MD5) Previous issue date: 2015 / Resumo: O objetivo do trabalho foi elaborar um método de identificação de perfis de produto que representa os grupos de características frequentes do produto nas compras efetuadas por seus clientes. Foi feita uma revisão de literatura sobre quais áreas de gestão são influenciadas pela identificação de perfis de produtos, dentre elas: Planejamento de Demanda, Cadeia de Valor, Cadeia de Suprimentos e Cadeia Logística. Mais especificamente, as subáreas mais afetadas são Entrega de Fornecedores Chaves em base no Just In Time e Sistema de Reposição Contínua. As tecnologias de identificação eletrônica de produtos produzidos em série (e. g. RF ID, código de barras e código QR) são formas de identificar cada venda de produto a ser utilizado pelo método. Dentre as técnicas aplicadas no método, os Conjuntos Fuzzy foram utilizados para categorizar as características quantitativas dos produtos, que passaram a ser a entrada para a Análise de Carrinho de Compras, possibilitando determinar cada perfil de produto através de mineração de dados por regras de associação. O Apriori foi um algoritmo apropriado para realizar a Análise de Carrinho de Compras, pois realiza mineração por regras de associação de conjunto de itens frequentes utilizando as regras de interesse: suporte, confiança e lift. O algoritmo está presente no pacote Arules do programa estatístico R. O pacote ArulesViz, que está presente no programa estatístico R, permite visualizar de forma gráfica os relacionamentos entre os itens do produto. O método foi aplicado a uma base de dados de pesquisa do setor automobilístico, retornando com sucesso os perfis de automóvel frequentes dentre as compras efetuadas pelos clientes / Abstract: This study aimed to prepare a product profile identification method representing the groups of common characteristics of the product in the purchases made by its customers. A literature review was made on which areas of management are influenced by the identification of product profiles, such as: Demand Planning, Value Chain, Supply Chain and Logistic Chain. Specifically the Keys Suppliers Delivery sub-areas based on Just in Time and Continuous Replacement System are the most affected. The electronic identification technologies of products produced in series (e.g. RF ID, barcode and QR code) are ways to identify each product sale to be used by the method. Among the techniques applied in the method, Fuzzy Sets were used to categorize the quantitative characteristics of the products, which are now the entrance to the Market Basket Analysis, allowing to find each product profile through data mining for association rules. The Apriori was an appropriate algorithm to perform Market Basket Analysis, as done by mining association rule set of frequent item sets using the rules of interest: support, confidence and lift. The algorithm is present in Arules package of statistical software R. The ArulesViz package, which is present in the R statistical software, displays graphically the relationships between the items of the product. The method was applied to a research database of the automotive sector successfully returning the frequent car profiles from purchases made by customers / Mestrado / Materiais e Processos de Fabricação / Mestre em Engenharia Mecânica

<div>With the growing importance of the manufacturing sector, there is a tremendous demand for finding innovative ways to design manufacturing systems. Although several design methodologies are available for devising the manufacturing systems, most of the changes do not sustain for a longer period. Numerous elements contribute to issues that impede sustainability in manufacturing industries, such as the common design approach of applying solutions without understanding system requirements and appropriate thinking processes. </div><div>With a Sustainable Manufacturing System Design Decomposition (SMSDD), the precise pitfalls and areas of improvement can be well understood. </div><div>The SMSDD fosters members in the organization to collectively map the customer’s needs, identifying the requirements of the system design and the associated solutions. In this thesis, SMSDD is developed to design manufacturing systems for maximizing the potential of an enterprise to create an efficient and sustainable manufacturing system. </div><div> </div><div>In addition to being able to design new manufacturing systems or to re-design existing manufacturing systems, the SMSDD provides a potent tool to analyze the design of existing manufacturing systems. SMSDD uses the Collective System Design Methodology steps to design a manufacturing system for leading to efficient and sustainable manufacturing system. Therefore, SMSDD can apply to a broad range of manufacturing systems. </div><div><br></div>

The automotive manufacturing facility is extremely complex and expensive system. Managing and understanding the dynamics of automotive manufacturing is a challenging endeavour. In the current era of dynamic global competition, a new concept such as Collaborative Lean Manufacturing Management (CLMM) can be implemented as an alternative for organisations to improve their Lean Manufacturing Management (LMM) processes. All members in the CLMM value chain must work together towards common objectives in order to make the LMM achievable in the collaborative environment. The novel research approach emphasises the use of Knowledge-Based (KB) approach in such activities as planning, designing, assessing and providing recommendations of CLMM implementation, through: a) developing the conceptual CLMM model; b) designing the KBCLMM System structure based on the conceptual model; and c) implementing Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBCLMM. The development of KBCLMM Model is the most detailed part in the research process and consists of five major components in two stages. Stage 1 (Planning stage) consists of Organisation Environment, Collaborative Business and Lean Manufacturing components. Stage 2 (Design stage) consists of Organisation CLMM Capability and Organisation CLMM Alignment components. Each of these components consists of sub-components and activities that represent particular issues in the CLMM development. From the conceptual model, all components were transformed into the KBCLMM System structure, which is embedded with the GAP and AHP techniques, and thus, key areas of potential improvement in the LMM are identified for each activity along with the identification of both qualitative and quantitative aspects for CLMM implementation. In order to address the real situation of CLMM operation, the research validation was conducted for an automotive manufacturer¿s Lean Manufacturing Chain in Malaysia. Published case studies were also used to test several modules for their validity and reliability. This research concludes that the developed KBCLMM System is an appropriate Decision Support System tool to provide the opportunity for academics and industrialists from the fields of industrial engineering, information technology, and operation management to plan, design and implement LMM for a collaborative environment. / Universiti Utara Malaysia and Ministry of Higher Education of Malaysia

No description available.

The automotive manufacturing facility is extremely complex and expensive system. Managing and understanding the dynamics of automotive manufacturing is a challenging endeavour. In the current era of dynamic global competition, a new concept such as Collaborative Lean Manufacturing Management (CLMM) can be implemented as an alternative for organisations to improve their Lean Manufacturing Management (LMM) processes. All members in the CLMM value chain must work together towards common objectives in order to make the LMM achievable in the collaborative environment. The novel research approach emphasises the use of Knowledge-Based (KB) approach in such activities as planning, designing, assessing and providing recommendations of CLMM implementation, through: a) developing the conceptual CLMM model; b) designing the KBCLMM System structure based on the conceptual model; and c) implementing Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBCLMM. The development of KBCLMM Model is the most detailed part in the research process and consists of five major components in two stages. Stage 1 (Planning stage) consists of Organisation Environment, Collaborative Business and Lean Manufacturing components. Stage 2 (Design stage) consists of Organisation CLMM Capability and Organisation CLMM Alignment components. Each of these components consists of sub-components and activities that represent particular issues in the CLMM development. From the conceptual model, all components were transformed into the KBCLMM System structure, which is embedded with the GAP and AHP techniques, and thus, key areas of potential improvement in the LMM are identified for each activity along with the identification of both qualitative and quantitative aspects for CLMM implementation. In order to address the real situation of CLMM operation, the research validation was conducted for an automotive manufacturer's Lean Manufacturing Chain in Malaysia. Published case studies were also used to test several modules for their validity and reliability. This research concludes that the developed KBCLMM System is an appropriate Decision Support System tool to provide the opportunity for academics and industrialists from the fields of industrial engineering, information technology, and operation management to plan, design and implement LMM for a collaborative environment.

<p dir="ltr">The study aims to prove the need for higher quality production of weight plates which fall under US6746380B2 (expired May 10, 2021), assigned to USA Sports Inc. Literature justifies quality control standards. Selected literature validates posed hypotheses, and a product study is completed using weight plate specimens selected for physical quality testing to prove the common (repeated offense) existence of weight plates which fall out of the designated weight tolerance. Findings of physical product testing are collected and set against each other to determine differences in levels of quality control. Through extensive product testing (quantified within the study’s research methodology), novel quality control ideals are identified for product improvement in the study’s recommendations. Next steps are suggested to improve the understanding and utilization of quality control to work toward creating a sustainable and consistently high-quality product. Findings from the study are available to be used amongst companies in the fitness industry who produce weight plates.</p>

<p>The modern world of manufacturing is in the middle of an industrial revolution with the digital and physical worlds integrating through cyber-physical systems.  Through a virtual model that is able to communicate with its physical system known as the Digital Twin, catered decisions can be made based on the current state of the system.  The digital twin presents immense opportunities and challenges as there is a greater need to understand how these new technologies work together. </p> <p><br></p> <p>This thesis is an experimental investigation of the characteristics of the essential components of the Digital Twin.  A Digital Twin Framework is developed to explore the impacts of model accuracy and update frequency on the system’s performance measure. A simple inventory management system and a more complex manufacturing plant is modeled through the framework providing a method to study the interactions of the physical and digital systems with empirical data.</p> <p><br></p> <p><br></p> <p>As the decision policies are affected by the state changes in the system, designing the Digital Twin must account for the direct and indirect impact of its components. </p> <p>Furthermore, we show the importance of communication and information exchange between the Digital Twin and its physical system.  A key characteristic for developing and applying a digital twin is to monitor the update frequency and its impact on performance.  Through the study there are implications of optimal combinations of the digital twin components and how the physical system responds.  There are also limits to how effective the Digital Twin can be in certain instances and is an area of research that needs further investigation.  </p> <p><br></p> <p>The goal of this work is to help practitioners and researchers implement and use the Digital Twin more effectively.  Better understanding the interactions of the model components will help guide designing Digital Twins to be more effective as they become an integral part of the future of manufacturing.</p>

No description available.