Relevant bibliographies by topics / Quality Function Deployment (QFD)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quality Function Deployment (QFD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Quality Function Deployment (QFD)"

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Leary, Martin, and Colin Burvill. "Enhancing the Quality Function Deployment Conceptual Design Tool." Journal of Mechanical Design 129, no. 7 (February 26, 2007): 701–8. http://dx.doi.org/10.1115/1.2722787.

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The quality function deployment (QFD) conceptual design tool has been of significant benefit to customer satisfaction, while reducing the associated design time and cost. Observation of novice designers in tertiary engineering design courses identified a range of impediments to the robust transfer of QFD capabilities to the novice designers. These impediments appear to limit the perceived merit of QFD in novice designers and stymie its subsequent practical application. Given the improved design outcomes associated with QFD, a series of enhancements has been developed to overcome these impediments and assist the robust transfer of QFD capabilities to novice designers. The traditional QFD tool does not engage with customer requirements that constrain the feasibility of a design solution. This limitation restricts the applicability of QFD as an overarching design reference because an additional repository is required to document design constraints and may result in confusion in novice designers and flawed design outcomes if design constraints are used. A novel differential assessment method has been developed to overcome this limitation by enabling the inclusion of design constraints. The outcomes of this paper contribute to design education by facilitating the robust transfer of QFD capabilities and providing novel enhancements that expand the useful outcomes associated with QFD.
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Ghobadian, A., and A. J. Terry. "How Alitalia improves service quality through quality function deployment." Managing Service Quality: An International Journal 5, no. 5 (October 1, 1995): 31–35. http://dx.doi.org/10.1108/09604529510100459.

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In today’s competitive markets “quality” is a business imperative rather than a luxury. Increasingly in many markets “quality” is the price of entry and in others a major source of competitive advantage. The ability to design a “services package” that consistently meets the customers’ requirements is an important element of a successful quality improvement strategy. The inherent nature of “service package” complicates the design problems. Quality function deployment (QFD) is a systematic technique for designing products or services that are based on customers’ requirements. QFD, although traditionally associated with the design of physical products, is equally applicable to service design. Examines how Alitalia’s experience suggests that the use of QFD techniques allows the development of a service package which effectively meets the key customers’ requirements. Presents recommendations and a framework for the specific use of QFD by service organizations, which if utilized should secure competitive advantage.
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Kassela, Katerina, Marina Papalexi, and David Bamford. "Applying quality function deployment to social housing?" TQM Journal 29, no. 3 (April 10, 2017): 422–37. http://dx.doi.org/10.1108/tqm-03-2016-0030.

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Purpose The purpose of this paper is to focus on the application of quality function deployment (QFD) in a Housing Association (HA) located in the UK. Facing the problem of improving a company’s performance, practitioners and academics have fashioned and applied a variety of models, theories and techniques. Design/methodology/approach The research questions were developed from a review of the quality and process improvement literature and tested using evidence from field-based, action research within a UK HA company. The case study provides insight to the benefits and challenges arising from the application of QFD. Findings The results provided insight to the benefits and challenges arising from the application of a specific tool, QFD. The primary findings were: QFD can be successfully adapted, applied and utilised within the challenging environment of social housing and other sectors, such as professional services; the model can be modified to use most processes/sub-processes; it must include both external and internal requirements and, to be useful, use more detailed process parameters appropriately. Practical implications The conclusions drawn add to ongoing commentaries on aspects of quality improvement, especially the application of QFD within the service sector. The authors develop questions for future research regarding improvement projects. Originality/value The conclusion proposes that the implementation of QFD should have a positive impact upon a company; if approached in the right manner. It provides a useful mechanism for developing evidence-based strategy of operational change, control and improvement. The research proposes questions for future research into aspects of operational quality and efficiency.
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Erdil, Nadiye Ozlem, and Omid M. Arani. "Quality function deployment: more than a design tool." International Journal of Quality and Service Sciences 11, no. 2 (June 12, 2019): 142–66. http://dx.doi.org/10.1108/ijqss-02-2018-0008.

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Purpose This paper aims to investigate to what extent quality function deployment (QFD) can be used in quality improvement rather than design activities. Design/methodology/approach A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications One case study was completed. More studies would be beneficial to support current findings. Practical implications This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples.
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Akao, Yoji. "The Method for Motivation by Quality Function Deployment (QFD)." Nang Yan Business Journal 1, no. 1 (November 20, 2014): 1–9. http://dx.doi.org/10.2478/nybj-2014-0001.

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Abstract This paper presented a study on proposing a method for motivation with the use of QFD. It was reported by three students who majored in MOT at Graduate School of Science and Engineering, Yamagata University in 2009. QFD has been widely used in manufacture and service industries for making improvement with the existing products and programs. However, in this study, QFD was not used in the sense of “activation” to improve motivation. Rather, it took the viewpoint of “what is required by customers”, the central theme QFD, to approach the problem. With reference to the process of knowledge conversion suggested by the SECI Model, the study operated with the basic principles and steps of QFD. In the paper, the major steps of QFD leading to setting quality planning were outlined and the implication of the study was discussed.
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BARTZ, T., and J. C. M. SILUK. "PREVENTIVE MAINTENANCE PLANNING USING QUALITY FUNCTION DEPLOYMENT – QFD." Latin American Applied Research - An international journal 45, no. 4 (October 30, 2015): 219–24. http://dx.doi.org/10.52292/j.laar.2015.401.

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The QFD has been used for product development for a long time. Nowadays, at the current level of maintenance, we used the QFD to innovate in the prioritization of assemblies and subassemblies that must have their planned maintenance. To achieve the proposed objectives, we firstly reviewed the literature, then analyzed the maintenance data of a production line, calculated the correlation between the needs of the sector of production with each subset of equipment that make up the line, and then constructed the QFD to prioritize the maintenance planning of the most important sets for product quality. The findings showed that the current planning model has a high level of assertiveness on the equipment schedule, but a prioritization using QFD assist in the specification of which subset undergoing maintenance, increasing the availability and reliability of equipment. The results showed there was an increase of efficiency from 79.25% to 83.76% in one year.
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Milan, Marcos, José Wandmark Duarte Barros, and José Luiz Gava. "Planning soil tillage using quality function deployment (QFD)." Scientia Agricola 60, no. 2 (2003): 217–21. http://dx.doi.org/10.1590/s0103-90162003000200003.

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The Brazilian forest sector represents about 4% of gross domestic product (GDP) which is correspondent to US$ 21.0 billion. The natural forest area is approximately 4.8 million hectares and for the near future there will be a need to increase the planted area. To avoid or minimize the impact of mechanized practices on forest soils, the reduced tillage has been developed. The aim of this work is to define the technical priorities of the reduced tillage for eucalyptus seedlings, using quality function deployment (QDF). The design requirements classified as the most important to attend seedling demands were the furrow width and depth, and clod sizes. QFD has the potential to be applied to agro-forestry systems to translate plant demands into technical requirements.
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Camgoz-Akdag, Hatice, Selim Zaim, Mehmet F. Acar, Omer F. Demirel, and Ahmet Ataman. "Product Improvement with Quality Function Deployment (QFD) Technique." Advanced Materials Research 445 (January 2012): 1058–63. http://dx.doi.org/10.4028/www.scientific.net/amr.445.1058.

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The purpose of this paper is to improve a new part for the natural gas sector using Quality Function Deployment (QFD) technique. QFD methodology was chosen for the product improvement process at IGDAS (Istanbul natural gas distribution company), the biggest natural gas distribution firm in Turkey. Experts from engineers were selected to determine customer expectations. Application of QFD to pipe strangling equipment is described step by step. The results show that when developing a new product or improving a product both customer expectations and product requirements are evaluated at the same time pleasing both parties for a successful result.
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Agrawal, Tinu, and Jitendra Sharma. "Quality Function Deployment in Higher Education." International Journal of Service Science, Management, Engineering, and Technology 5, no. 1 (January 2014): 1–13. http://dx.doi.org/10.4018/ijssmet.2014010101.

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Quality has always been a key concern for product and service operations. Decades have been spent in research for quality measurement and enhancement techniques. Various models have time and again been proposed by researchers around the globe. Inspite of the constant rigor in the study of this concept, very few tools devised and defined by researchers and academicians have been successfully put to practice. The underlying phenomena in service quality measurement are indeed complex to understand, interpret and measure. Through this paper the authors intend to present the developments of one such quality tool which has the ability to generate creative and novel solutions is Quality Function Deployment (QFD). This paper presents a detailed literature review on the topic and application of QFD in higher education. This literature review is based on publications and web sources.
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Barrows, Richard, and Bruce Murray. "Using Quality Function Deployment to Improve Academic Advising Processes." NACADA Journal 17, no. 1 (March 1, 1997): 22–31. http://dx.doi.org/10.12930/0271-9517-17.1.22.

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Quality Function Deployment (QFD), a set of concepts and tools often used in manufacturing engineering to link consumer needs with product design, can be used to improve academic advising systems and processes. QFD promotes a structured and logical examination of students' advising needs and a rigorous examination of the relationship of these needs to the design of advising systems, processes, methods, and tools. Because its conceptual base is radically different from the disciplines underpinning advising theory, QFD can offer advising leadership useful insights and avenues for advising improvement.
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Dissertations / Theses on the topic "Quality Function Deployment (QFD)"

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Abreu, Fábio de Souza. "QFD - Quality function deployment: requisitos organizacionais para aplicação." reponame:Repositório Institucional do FGV, 1997. http://hdl.handle.net/10438/4842.

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Trata de um estudo conceitual investigando as relações entre implantações de metodologias e ferramentas complexas, como o QFD - Desdobramento da Função Qualidade - para o desenvolvimento de produtos, e os requisitos organizacionais para o sucesso da implantação. ·Apresenta uma tipologia organizacional inserida em um contexto histórico e o processo de desenvolvimento de produtos correspondente e suas deficiências. Faz uma descrição do método do QFD abordando: definição, histórico, beneficios, contexto, princípios, exemplo didático, processo de implantação e questões sobre a Voz do Cliente. Apresenta um modelo baseado em seis dimensões fundamentais para o sucesso de uma implantação de metodologias como QFD: estratégia, ferramentas e metodologias, trabalho em equipe, infraestrutura organizacional, liderança da alta direção da organização e, cultura e valores. É apresentado uma experiência real de implantação do QFD.
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Idan, Cephas Kobina. "Quality function deployment (QFD) in the UK construction industry." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409391.

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Bolar, Aman Ahmed. "A Quality Function Deployment (QFD) Approach for Bridge Maintenance Management." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/48548.

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Infrastructure age in the US/Canada are beyond half their expected service life. With billions of dollars invested annually, an increase in number of decisions towards maintenance, rehabilitation and replacement (MRR) activities are expected. Customer (infrastructure user) opinions are sometimes sought when major infrastructure-related decisions are made by conducting surveys, community meetings, etc. However, with consumers becoming more involved in economic, environmental, and social issues related to infrastructure, a process for ensuring customer demands are addressed would be valuable to all stakeholders involved. In this thesis, using bridge as an example, an innovative expert-based decision-framework has been proposed and developed using the Quality Function Deployment (QFD) approach. The framework comprises of three major elements. First a hierarchical evidential reasoning (HER) framework is proposed and developed for condition assessment of bridges by classifying bridge elements into Primary, Secondary, Tertiary and Life Safety-Critical elements. Respective indices are calculated in addition to an overall bridge condition index. The HER framework enables combining different distress indicators and propagating both aleatory/epistemic uncertainties using either Dempster-Shafer or Yager's rule. Importance and reliability factors (collectively termed "credibility factor") are introduced based on bridge element importance and reliability of collected data. Second, QFD implementation has been demonstrated with the following applications: (i) Inspection Prioritization (ii) Decision-Making between Replacement and/ or Rehabilitation scenarios. For inspection prioritization, an Inspection House of Quality is prepared for translating consumer demands (WHATs) into inspection requirements (HOWs) and demonstrated using data developed from Colorado Department of Transportation (CDOT) inspection manual. For the decision-making scenarios, a case study is furnished for a bridge located in Victoria, BC. Finally, the infrastructure-user's expectations are dynamic given the changing economic conditions, technologies, environmental regulations, etc. A hidden Markov model (HMM) is utilized for predicting such dynamic customer response by using probabilities of focus areas that are of interest to the infrastructure-user as hidden parameters. Using the 2005 California Transportation's customer survey, a case study is presented for demonstrating the application. This new expert-based framework has an ability to enhance decision-making by addressing uncertainty in collected inspection data, facilitating customer input into MRR procedures and by predicting customer expectations.
Applied Science, Faculty of
Engineering, School of (Okanagan)
Graduate
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Mathai, Kalapurackal Robins. "Sensitivity analysis of relative worth in empirical and simulation-based QFD matrices." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Mathai_Kalapurackal_09007dcc8057a197.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed January 15, 2009) Includes bibliographical references (p. 51-52).
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Bouchereau, Vivianne. "An integrated systems approach to QFD." Thesis, University of South Wales, 2000. https://pure.southwales.ac.uk/en/studentthesis/an-integrated-systems-approach-to-qfd(3699183a-e87f-4c11-9c04-65e0a1da7aae).html.

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This thesis reviews Quality Function Deployment (QFD) and its relation with the Total Quality Management philosophy. In particular the thesis focuses on the inherent drawbacks of QFD and it investigates potential techniques and methods that could be integrated with QFD to overcome some of its problems. Fuzzy Logic/Fuzzy Sets and the Taguchi Method are identified as techniques and methods to be incorporated within the QFD process to provide a more consistent, quantitative and rigorous method to analyse subjective data in the QFD charts. Two approaches are developed that integrate Fuzzy Logic and Fuzzy Set theory with QFD to identify and rectify inconsistencies in the input data in the QFD charts. Another approach that integrates the Taguchi Method and QFD is further developed to set more precise technical target values in the QFD chart. Case studies are used to illustrate the results of the developed Fuzzy-QFD and the QFD-Taguchi approaches. The synergistic approaches take into account nteractions between requirements, which are not utilised in the traditional QFD charts. In addition, it was found that the resulting data in the QFD charts are sensitive to the interaction in the correlation matrices, therefore another method is also proposed to detect inconsistencies in the correlation matrices by utilising an inference mechanism and multi-valued logic theory. An integrated systems approach to QFD is eventually developed that forms a synergy between QFD, Fuzzy Logic/Fuzzy sets and the Taguchi Method. This results in a superior approach that combines the inherent benefits of each of the individual approaches. The integrated systems approach to QFD is a generic approach that can be used for other case studies provided that in addition to the relationship matrix and customer importance ratings, the correlation matrices and benchmarking data are readily available. As a result of this research, the subjectivity and ill-defined data in the QFD process have been partially resolved by the application of Fuzzy Logic/Fuzzy sets. The QFD analysis has been made more rigorous by integrating it to more quantitative techniques (Fuzzy Logic/Fuzzy sets) and method (Taguchi Method). It has been identified that demands are dependent on each other in the QFD charts and how including these dependencies in the problem can change the results. This problem has been addressed by considering interactions between the demands in the Fuzzy-QFD and QFD-Taguchi approaches developed. These interactions between demands have been identified and dealt with in the developed approaches, such that they no longer provide sub-optimal solutions.
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Taha, Ahmed. "Streamline e-information service for virtual users: A quality function deployment (QFD) approach." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106053.

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Migration from the traditional to web-based library paradigm is usually accompanied by remodelling of many library core activities particularly those associated with user-centred services. In this capacity of the web-based service paradigm, many academic libraries have established networked environments within which many virtual-user communities are forming and growing. Understanding the virtual user's needs in these communities has become the first priority of networked libraries for designing, running and managing effective virtual reference services to meet the increasing expectations of the invisible users. To achieve this, the networked libraries strive to improve their quality of service by applying a wide range of such quality management approaches as quality function deployment (QFD) and LIBQUAL™. QFD initially stresses on driving continuous improvement of the user-oriented services towards end-user satisfaction. The paper attempts to incorporate the QFD to be integrated strategically in designing and managing e-information provision within networked library service environment. The UAE University Library is used as a case study, where the evidence-based librarianship (EBL) approach has been employed in three studies to identify user needs and acceptance of e-services. Based on these studies, the paper presents a model aimed at streamlining e-services for virtual users in ICT-rich learning environments.
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Punchihewa, Himan K. G. "The potential of Quality Function Deployment (QFD) in reducing work-related musculoskeletal disorders." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/7102.

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Musculoskeletal disorders (MSDs) frequently affect the health and well-being of workers and can hinder growth in the industrial sector. Research indicates that user requirements to reduce workplace risk factors for MSDs are not always effectively conveyed to practitioners of design. This creates a mismatch between these requirements and what is ultimately produced. Quality function deployment (QFD) is a structured collaborative design approach, widely used in industry. The aim of this research was to explore the potential of a QFD-based design tool to enhance such communication in the design process and help reduce work-related MSDs. In order to evaluate user knowledge and ability to identify workplace risks and the subsequent requirements for design, a multi-methods study was undertaken with cleaners (n= 10), joiners (n= 6) and plumbers (n= 6) and their line managers (n= 6). Methods included semi-structured interviews, task analysis, REBA and body part discomfort maps. The findings revealed that these workers were in general able to identify risks to their musculoskeletal health and make design suggestions related to specific tasks. All of the workers expressed concern about manual handling, and issues related to awkward postures were also identified by the majority. A QFD-based design tool (with guidance material) was then developed to facilitate communication in the design process. It consisted of six features to encompass the design process, and included tools and techniques with supplementary templates to aid practitioners. In order to evaluate its feasibility with respect to current practice, an online questionnaire survey was conducted with a cohort of practitioners of ergonomics and design (n= 32). Of these, the majority rated highly the importance of an integrated approach for participatory design to help reduce work-related MSDs. They also suggested elements to be included in the design tool, which were in congruence with the features already included. To evaluate the strengths and weaknesses of the design tool in the field setting, in-depth interviews using a walkthrough approach (n= 8) and case studies of specific work tasks (n= 3) were conducted with practitioners. The findings showed that the design tool would be very useful in managing and presenting design information. In particular, practitioners liked being provided with design principles to help systematically identify design solutions to reduce risks and using the QFD-based matrices to present such information. Limitations of the tool were identified as inadequacy of guidance, the lack of automated procedures and the time required to set up and learn. The design tool (and guidance material) seems to have potential in facilitating the sharing of design information among the stakeholders of the design process.
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Clomera, Arthur B. "Extending the computer-aided software evolution system (CASES) with quality function deployment (QFD)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FClomera.pdf.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, June 2003.
Thesis advisor(s): Man-Tak Shing, Josseph F. Puett III. Includes bibliographical references (p. 445-446). Also available online.
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Stefano, Alexandre de. "Aplicação do QFD no desenvolvimento da injeção eletrônica e controle dos parâmetros de processo." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264317.

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Orientador: Oswaldo Luiz Agostinho
Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
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Resumo: No atual momento em que as montadoras e as empresas de autopeças procuram desenvolvimento de produtos com menor custo e com ótima qualidade, zero defeito, propõe-se, neste contexto, ouvir e definir importantes solicitações dos clientes para analisar e aplicar a metodologia apresentada. Na metodologia o requisito é trabalhado e desdobrado em matrizes: Necessidades dos Clientes X Requisitos de sistema, Requisitos de sistema X Características das partes, Características das partes X Processo de fabricação e Processo de fabricação X Operação de manufatura. Definidas as operações que representam o principal requisito do cliente na metodologia, aplica-se controle de processo para que os parâmetros de processos garantam a necessidade do cliente. Esta metodologia consiste na aplicação do Desdobramento da Função da Qualidade - (QFD) para o desenvolvimento do produto ECU (Unidade de Controle Eletrônico), através dos desdobramentos das matrizes de relação chega-se aos parâmetros que devem ser controlados no processo produtivo. Ferramentas, procedimentos e aplicativos de controles de processo devem ser estudados para que sejam aplicados de forma oportuna. Um estudo de caso foi realizado em uma empresa de autopeças, e os resultados comprovaram a metodologia proposta. Nos próximos capítulos serão descritos todas as etapas do processo de implementação desde o levatamento dos dados no cliente, aplicação do QFD, definição do posto e como controlar os parâmetros desta etapa do processo
Abstract: At the current time when the automakers and auto parts companies seek to develop products with lower cost and with high quality, zero defect, It is proposed, in this context, to hear and define the important requirements of customer to analyze and to apply the methodology studied. In this methodology the request is analyzed in wombs: Customer's Necessity vs. System's Requirements; System's Requirements vs. Characteristic of Parts; Characteristic of Parts vs. Manufacturing Process; Manufacturing Process vs. Manufacturing Operation. Defined the set of operations which pose the major customer requirement in the methodology, it is time to set in motion the process control to establish the parameters that will guarantee the customer's needs. This methodology involves the application of Quality Function Deployment (QFD) to develop the product ECU (Electronic Control Unit) - through the deployment of wombs the parameters that should be controlled in the manufacturing process are defined; tools, procedure and/or software to control the process are studied and applied properly. A case study had been done in an Automotive Parts Company, and the results proved the methodology proposed. In the following chapters it will be described all steps of process's implementation, since to search data on the customer, QFD applications, definition of the manufacturing operation and how to control the parameters of the new manufacturing process
Mestrado
Projetos
Mestre em Engenharia Automobilistica
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Lee, Don J. (Don Joon). "Utilizing Quality Function Deployment (QFD) in the development of a next generation hematology analyzer." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12630.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1993.
GRSN 642876
Chart, 61 x 94 cm. folded to 23 x 20 cm., in pocket following text.
Includes bibliographical references (leaves 251-256).
by Don J. Lee.
M.S.
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Books on the topic "Quality Function Deployment (QFD)"

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Advanced QFD: Linking technology to market and company needs. New York: Wiley, 1994.

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Ficalora, Joseph P. Quality function deployment and Six Sigma: A QFD handbook. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2010.

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Ficalora, Joseph P. Quality function deployment and Six Sigma: A QFD handbook. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2010.

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Ficalora, Joseph P. Quality function deployment and Six Sigma: A QFD handbook. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2009.

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Cohen, Lou. Quality function deployment: How to make QFD work for you. Reading, Mass: Addison-Wesley, 1995.

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1944-, Moran John W., and Cox Charles A, eds. The QFD handbook. New York: Wiley, 1998.

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D, Bicknell Kris, ed. The road map to repeatable success using QFD to implement change. Boca Raton, FL: CRC Press, 1995.

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C, Patton Peter, Zultner Richard E, and Jayaswal Bijay K. 1949-, eds. Understanding customer needs: Software QFD and the voice of the customer. Upper Saddle River, N.J: Prentice Hall, 2007.

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King, Bob. Better designs in half the time: Implementing QFD quality function deployment in America. 3rd ed. Methuen, MA: GOAL/QPC, 1989.

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Daetz, Doug. Customer integration: The quality function deployment (QFD) leader's guide for decision making. New York: Wiley, 1995.

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Book chapters on the topic "Quality Function Deployment (QFD)"

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Bossert, James L. "QFD as a System." In Quality Function Deployment, 39–42. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003066545-8.

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Bossert, James L. "How to Get Started in QFD." In Quality Function Deployment, 9–14. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003066545-3.

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Knorr, Christine, and Arno Friedrich. "Das weitere Deployment." In QFD – Quality Function Deployment, 105–18. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9783446449831.007.

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Brauer, Jörg-Peter. "Quality Function Deployment (QFD)." In Handbuch QM-Methoden, 791–816. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446444416.028.

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Barad, Miryam. "Quality Function Deployment (QFD)." In Strategies and Techniques for Quality and Flexibility, 101–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68400-0_6.

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Grabner, Jörg, and Richard Nothhaft. "Quality — Function — Deployment (QFD)." In Konstruieren von Pkw-Karosserien, 2–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-08158-7_2.

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Brauer, Jörg-Peter. "Quality Function Deployment (QFD)." In Handbuch QM-Methoden, 739–64. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446435865.027.

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Knorr, Christine, and Arno Friedrich. "Einleitung." In QFD – Quality Function Deployment, 5–10. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9783446449831.001.

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Knorr, Christine, and Arno Friedrich. "Die Methode QFD im Überblick." In QFD – Quality Function Deployment, 11–20. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9783446449831.002.

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Knorr, Christine, and Arno Friedrich. "Voraussetzungen für den Start eines QFD-Projektes." In QFD – Quality Function Deployment, 21–26. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9783446449831.003.

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Conference papers on the topic "Quality Function Deployment (QFD)"

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Masui, Keijiro, Tomohiko Sakao, Seiichi Aizawa, and Atsushi Inaba. "Quality Function Deployment for Environment (QFDE) to Support Design for Environment (DFE)." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34199.

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This paper presents a methodology for applying Quality Function Deployment (QFD) to environmentally conscious design in the early stages of product development. The benefit of this approach is the simultaneous consideration of conventional design factors and environmental aspects during conceptual design. QFD’s main mission is to translate customer requirements to product characteristics and design attributes. QFD clarifies what is important for a product to be competitive in the market and identifies engineering specifications and designs that respond to the “voice of customer (VOC).” QFD for the Environment (QFDE) we propose could be applied to environmentally conscious design by including environmental aspects as quality requirements in addition to conventional VOCs. After discussing what kind of requirements and attributes of a product should be considered from the environmental point of view, we came up with a set of environmental quality requirements and engineering specifications, and their correlation factors. Design engineers can find out which parts are the most important parts to enhance environmental consciousness of their products by executing QFDE phase I through phase II. Further, we developed a methodology to evaluate the effects of design improvement concerning the parts on environmental quality requirements as phase III and IV.
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Lamers, Tina L., Milnes David, Ken Goodson, Kos Ishii, and Beth L. Pruitt. "Application of a Modified Quality Function Deployment Method for MEMS." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42374.

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Quality Function Deployment (QFD) has long been used as a successful design methodology in the heavy industrial and automotive industries. QFD helps designers utilize the ‘voice of the customer’, or customer requirements, to determine which engineering metrics or product specifications are the most essential [1]. This prioritization helps designers know what part of the product or process is most beneficial to focus on during design, resulting in products that better meet customer requirements and generate increased commercial success. QFD and most other design methodologies have rarely been applied to MEMS products [2]. In the case of QFD, the structure of the most common format of the tool dictates that engineering metrics should be related to parts characteristics in the second step of applying QFD. This causes difficulties in using the tool for MEMS as most MEMS do not have physical ‘parts’ that are assembled into a final device. Rather, MEMS have product specifications and a manufacturing process used to create the product. Generally there is a tight link between product and process in MEMS. This link has been utilized in creating a modified version of QFD that relates engineering metrics to design concepts, including product conceptualization and manufacturing process. The modified QFD utilizes aspects of Pugh Concept Selection, and differs from typical QFD primarily in consideration of product idea and manufacturing process in the early phases of product definition. The modified QFD was applied to a MEMS project whose goal was to develop a handheld device that allows users to control the selection and release of a variety of stored scents. The technique was also applied to a microscale heat exchanger for integrated circuits. The scent dispenser and heat exchanger were designed and prototyped at Stanford University in 2005 and 2006, respectively. The modified version of QFD gave insight early in the product definition phase on which design concept to pursue to prototype. Use of this and other design methodologies in the MEMS field could shorten the time it takes to progress through product development to volume manufacturing, and increase confidence in the marketability of the chosen design and manufacturing process. A case study demonstrating the effects of using modified QFD Phase II to assist in finding a good fit between technical capabilities and market application was performed by the author on an acoustic sensor technology [3].
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Chao, Lawrence P., and Kosuke Ishii. "Design Process Error-Proofing: Project Quality Function Deployment." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57772.

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This paper presents an advanced application of Quality Function Deployment (QFD) for product development projects. Design process error-proofing not only seeks to prevent catastrophic failures but also addresses product definition problems that compromise product features, time-to-market, or cost. Project QFD helps identify the organization requirements and flow them down to the activities, tools, and other solution elements for the project. This approach aids both product definition and resource allocation to clarify and strategically align project goals. The paper explains the method, illustrates it with an example, and discusses its effectiveness through a survey in industry and practical design projects at Stanford. The paper concludes with the proposed work to further disseminate this method.
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Wang, Hong-jun, Xin Chen, Ping Zhang, De-tao Zheng, and Jian Sun. "A Novel Web-Based Approach to Quality Function Deployment." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dfm-48137.

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Quality Function Deployment (QFD), as an effective tool for customer-driven product development, has been widely adopted in manufacturing companies for many years. The main difficulties in using QFD lie in capturing the actual needs of customers, and in the conflicting conclusions provided by different experts while establishing the relationship matrix between customer requirements and engineering characteristics. This paper describes a novel approach to applying QFD. Firstly, the customer requirements are captured through Web-based technology. Secondly, the relationship matrix between customer requirements and engineering characteristics is established by handling coordinately fuzzy knowledge. Thirdly, the translation of a customer’s importance ratings into engineering weightings is carried out by fuzzy mapping technology. In order to reduce the complexity of HOQ, the less important customer requirements and engineering characteristics are identified and eliminated from the model by using α-cuts. Finally, an example using a refrigerator illustrates that the proposed approach is both available and practicable.
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Prasad, Biren. "A Concurrent Function Deployment Process for Product Life-Cycle Management." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/eim-5688.

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Abstract In this paper, an alternate framework for deployment called Concurrent Function Deployment (CFD) for managing a product’s life-cycle process is described. The framework considers parallel deployment of several value characteristics as opposed to a single value such as Quality. The American Supplier Institute’s (ASI’s) quality function deployment (QFD) concept [Sullivan, 1988] is a typical case of a conventional four-phased deployment process, where quality is the prime consideration for deploying life cycle functions. CFD is not based on using a single measurement, such as “Quality“ as in ASI’s QFD. Six concurrent values, namely Functionality (Quality), Performance (X-ability), Tools & Technology (innovation), Cost, Responsiveness, and Infrastructure (delivery) are considered simultaneously in CFD rather than serially in QFD. Three-dimensional Value Characteristics Matrices (VCM) are employed to ensure that both the company and the customers’ goals are optimally met. In the present setting, ASI’s deployment scenario emerges as a special case of Concurrent Function Deployment. CFD enables the planners and strategic decision-makers — early on during a design process — to deal with tradeoffs among the crucial factors of artifact values.
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Gentili, Enzo, Francesco Aggogeri, and Marco Mazzola. "The Effectiveness of the Quality Function Deployment in Managing Manufacturing and Transactional Processes." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43448.

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The goal of Quality Engineering is to design quality into every product, service and manufacturing process. In particular a methodology is claimed to be very important for Quality design and management: Quality Function Deployment (QFD). QFD is a structured methodology and mathematical tool used to identify and quantify customer requirements and translate them into key critical parameters of systems and processes. The aim of the paper is to show how a quality management approach can support the increase of the process capability in a global vision of every business. QFD represents one of the most successful tools used in industrial management. By using actual and real cases, the paper shows the effectiveness of the QFD in improving both the management of a process and its capability. Four examples are presented. They take into account different environments: pharmaceutical, mechanical, healthcare and transportation markets. The first case study is deployed in a pharmaceutical company to satisfy the new customer requirements for the introduction of a nasal spray product on the Japanese market. The second example is applied to the automotive market for the production of air-cooling devices for deluxe vehicles. Finally, the other two cases show the implementation of the QFD tool in transactional processes, such as Cargo Center activities and healthcare services.
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Ashihara, Kosuke, and Kosuke Ishii. "Application of Quality Function Deployment for New Business R&D Strategy Development." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81956.

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This paper describes a decision-making framework for Research and Development (R&D) strategy development using an adaptation of quality function deployment (QFD). Many manufacturing companies are facing challenges in strengthening their competitiveness to survive in an uncertain and fierce competitive businesses environment. Decision-making on R&D strategy, not only for incremental innovation, but also for radical innovation, is essential for the sustainable future of the company. There are well-structured methodologies for routine product development tasks that help planning and decision-making. QFD is one of the most well known tools for product development that uses matrices to identify relative worth of product requirements from market information and flow the requirements down to more detailed decisions. However, in the R&D strategic planning process that occurs prior to product development, there is little work utilizing structured methodologies such as QFD. This paper presents a new usage of QFD in the R&D strategy development process to cover both incremental and radical innovation. Market-pull R&D leads to incremental innovation of the company, and QFD helps identify new technology requirements using future market predictions. On the other hand, technology-push R&D seeks radical innovation; an inverse usage of QFD that defines new customer needs from new technology development can support a step-by-step approach for future business creation in this context. The paper includes a detailed example from the medical device industry that demonstrates the utility of the method in R&D strategy decision process.
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Martí Bigorra, Anna, and Ove Isaksson. "Integration of Customer-Product Interaction Into Quality Function Deployment." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59992.

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Customer satisfaction is used by many companies as a key performance indicator and it is strategically important to be able to define design requirements that contribute to customer satisfaction when setting targets. For highly complex products such as vehicles, target setting is an evolving process based on continually changing internal and external requirements. Quality Function Deployment (QFD) is a method that provides a structured approach for incorporating customer needs into the product development process. However, in addition to product targets, product usage proficiency also contributes to customer satisfaction. Customers often do not read manuals; they learn by trying things out and sometimes the use of the product ends up outside the expected acceptable range of the designers, delivering to the customer low product performance. The intention of this article is therefore to gain a deeper understanding of the customer by analyzing customer-product interaction of customer products and integrating it into QFD to identify the most interesting design requirements to improve customer satisfaction when developing products that are comparable to the ones lunched in the market. The proposed method facilitates designer awareness of target population before re-designing an existing product and it helps designers to set a starting point to improve usage proficency for each customer by providing individualized feedback.
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Ben-Levy, Itzhak. "Reducing Development Cycle Time by using QFD (Quality Function Deployment)." In Aerospace Technology Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-01-3139.

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Partovi, Fariborz Y. "Quality Function Deployment (QFD) and the Analytic Network Process (ANP)." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2009. http://dx.doi.org/10.13033/isahp.y2009.074.

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Reports on the topic "Quality Function Deployment (QFD)"

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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview of UAS applications that may be appropriate for INDOT, as well as a description of the regulations that affect UAS operation as described in 14 CFR Part 107. The potential applications were prioritized using Quality Function Deployment (QFD), a methodology used in the aerospace industry that clearly communicates qualitative and ambiguous information with a transparent framework for decision making. The factors considered included technical feasibility, ease of adoption and stakeholder acceptance, activities underway at INDOT, and contribution to INDOT mission and goals. Dozens of interviews with INDOT personnel and stakeholders were held to get an accurate and varied perspective of potential for UAVs at INDOT. The initial prioritization was completed in early 2019 and identified three key areas: UAS for bridge inspection safety as a part of regular operations, UAS for construction with deliverables provided via construction contracts, and UAS for emergency management. Descriptions of current practices and opportunities for INDOT are provided for each of these applications. An estimate of the benefits and costs is identified, based on findings from other agencies as well as projections for INDOT. A benefit cost analysis for the application of UAS for bridge inspection safety suggests a benefit cost over one for the analysis period.
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Gillespie, L. Quality function deployment as a mechanism for process characterization and control. Office of Scientific and Technical Information (OSTI), July 1990. http://dx.doi.org/10.2172/6706676.

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