A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment

Liu, Chin‐Hung

doi:10.1007/s11135-009-9304-1

Cited by 21 publications

(13 citation statements)

References 26 publications

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“…Other areas of application where group decision making is based on multiple criteria include new product development such as for garments (Lu et al, 2008) and digital scales (YousefipourJeddi et al, 2014) where preferences regarding the product have to be considered, and the car manufacturing industry where budget and time constraints are critical (Liu, 2009). Another interesting application of DSS is to support a group of users in the choice of vacation packages (Mengash and Brodsky, 2015).…”

Section: Decision Support Systemsmentioning

confidence: 99%

Decision support systems for adoption in dental clinics: A survey

Goh

Tao

et al. 2016

Knowledge-Based Systems

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While most dental clinicians use some sort of information system, they are involved with administrative functions, despite the advisory potential of some of these systems. This paper outlines some current decision support systems (DSS) and the common barriers facing dentists in adopting them within their workflow. These barriers include lack of perceived usefulness, complicated social and economic factors, and the difficulty for users to interpret the advice given by the system. A survey of current systems found that although there are systems that suggest treatment options, there is no real-time integration with other knowledge bases. Additionally, advice on drug prescription at point-of-care is absent from such systems, which is a significant omission, in consideration of the fact that disease management and drug prescription are common in the workflow of a dentist. This paper also addresses future trends in the research and development of dental clinical DSS, with specific emphasis on big data, standards and privacy issues to fulfil the vision of a robust, user-friendly and scalable personalised DSS for dentists. The findings of this study will offer strategies in design, research and development of a DSS with sufficient perceived usefulness to attract adoption and integration by dentists within their routine clinical workflow, thus resulting in better health outcomes for patients and increased productivity for the clinic.

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Section: Decision Support Systemsmentioning

confidence: 99%

Decision support systems for adoption in dental clinics: A survey

Goh

Tao

et al. 2016

Knowledge-Based Systems

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“…Employing the HOQ for the product improvement process requires finding and evaluating CNs (Zhang & Wang, 2012) and then the CNs as the entrance of the HOQ must be translated to PRs of the product (Behzadian et al, 2013). By translating the CNs to PRs, the HOQ can be a useful tool for the cross functional team (Liu, 2010). The HOQ, as the main tool of QFD, is a useful tool to evaluate CNs and connect them to the PRs (Kim, 2010).…”

Section: House Of Quality (Hoq)mentioning

confidence: 99%

A hybrid QFD-based approach in addressing supplier selection problem in product improvement process

Asadabadi¹

2014

10.5267/j.ijiec

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This paper is about creating a hybrid QFD-based approach in which the best supplier is selected considering changing customer needs. In most previous studies employing a QFD approach, the possibility of changing customer needs is ignored. On the other hand, supplier selection is a challenging problem that could have been addressed by such a QFD. This paper attempts to create a hybrid QFD-based approach in which the internal relations between the elements are considered. It connects the new QFD to suppliers' qualifications to create a hybrid supplier selection process. The best suppliers are selected based on the priorities of customer needs for each level of the product improvement plan. When a product is to be developed, the proposed methodology seems to create an efficient solution for supplier selection problem with respect to quality factors.

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“…Neste contexto é que se apresenta o QFD (Quality Function Deployment), que traz métodos para otimizar as características do produto e a alocação de recursos (PRASZKIEWICZ, 2011). Trata-se de uma técnica de melhoria que trabalha os problemas de qualidade desde o início do projeto do produto até a fase de seu desenvolvimento, garantindo que as exigências dos clientes sejam traduzidas com precisão em requisitos técnicos que garantem a qualidade (AKAO, 1990;STEVENSON, 2007;HUAI, 2009;LIU, 2009;VINODH, e RATHOD, 2011).…”

Section: Quality Function Deployment (Qfd)unclassified

“…Fonte: Adaptado de Akao (1990) Os resultados obtidos na aplicação do QFD além de criarem informações úteis para o planejamento do produto e para sua produção também reduzem os tempos do processo e de ciclo de produção, diminuindo custos e evitando perdas (AKAO, 1990;FINCH, 2003;CHAN e WU, 2005;KRAJEWSKI et al, 2007, LIU, 2009 A partir dos dados obtidos na correlação realizada, é estabelecida a qualidade planejada, que fornece o subsídio para a definição dos planos de trabalho. É importante salientar que a ênfase está no procedimento e não no uso da matriz, que é apenas uma ferramenta para melhor dispor e processar as informações.…”

Section: Figura 3 -Modelo Conceitual Do Dfdunclassified

Melhoria contínua dos processos e combate ao desperdício através da ferramenta qfd: o caso da metalúrgica

Godoy

Neto²,

Lorenzett

et al. 2013

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Este trabalho propõe a utilização do QFD para melhoria contínua dos processos produtivos e combate ao desperdício. Para coletar as informações empregou-se a observação simples e um questionário com perguntas fechadas aplicado aos colaboradores, representando 88,75% da população que atua nos processos produtivos de uma indústria do setor metal mecânico, localizada no Estado do Rio Grande do Sul. O QFD é um método eficiente de planejamento da qualidade, pelo fato de fornecer um diagnóstico da realidade que subsidia a definição de ações de melhoria com vistas ao combate do desperdício. Ações foram definidas proporcionando melhoria da comunicação entre os setores, possibilitando o fornecimento de produtos com especificações que atendem aos requisitos dos clientes, nos prazos e quantidades corretas, a um custo mínimo e plena satisfação das pessoas envolvidas com a empresa. A implementação dessas ações reduz os desperdícios, minimiza o trabalho adicional, maximiza o trabalho efetivo e aumenta a lucratividade. Palavras-chave:Qualidade. Planejamento. Desperdícios. Melhoria continua. QFD.Abstract: This paper proposes the use of QFD for the continuous improvement of production processes and waste reduction actions. To collect the information we used the simple observation and questionnaire with closed questions applied to employees, representing 88.75% of the population that works in the production processes of an industry of metal-mechanic sector, located in Rio Grande do Sul. QFD is an effective method of quality planning, because it provides a diagnosis that underpins the definition of improvement actions aimed at combating waste. Actions were set providing improved communication between the sectors, enabling the delivery of products with specifications that meet customer requirements, on time and the right amounts, at a minimum cost and satisfaction of those involved with the company. The implementation of these actions reduces waste, minimizes the extra work, maximizes effective labor and increases profitability.

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A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment

Abstract: House of quality, Customer requirements, Technical characteristics, Group decision-making, Fuzzy set theory, Genetic algorithms,

Cited by 21 publications

References 26 publications

Decision support systems for adoption in dental clinics: A survey

Decision support systems for adoption in dental clinics: A survey

A hybrid QFD-based approach in addressing supplier selection problem in product improvement process

Melhoria contínua dos processos e combate ao desperdício através da ferramenta qfd: o caso da metalúrgica

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