Conference ISEG_ 2022_RS_JMS_HVGN_FM_AG_VA.pptx
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O documento apresenta uma abordagem proposta para identificar opções sustentáveis no âmbito da indústria dos eletrodomésticos. A abordagem consiste no desenvolvimento de um software de apoio à decisão do consumidor que fornece recomendações de produtos eletrodomésticos sustentáveis com base em múltiplos atributos econômicos, sociais e ambientais. O documento apresenta também um exemplo de aplicação do modelo proposto a um caso real de escolha de eletrodomésticos para uma residência unifamiliar.
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Conference ISEG_ 2022_RS_JMS_HVGN_FM_AG_VA.pptx
- 1. Seminário Lisboa, Portugal 06 de Dezembro de 2019 Identification of sustainable options within the appliance industry Ricardo Santos GOVCOPP, University of Aveiro, Aveiro, Portugal ADEM, ISEL- Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal António Abreu CTS Uninova, FCT, Universidade Nova de Lisboa, Portugal ADEM, ISEL- Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal José Miguel Soares ADVANCE - Centro de Investigação Avançada em Gestão do ISEG ISEG - Lisbon School of Economics and Management, Universidade de Lisboa, Portugal
- 2. Agenda Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos José Miguel Soares Ricardo Santos António Abreu - 2 - 1. Motivação 2. O modelo Economico “Circular” e a sustentabilidade 3. Mudando paradigmas: De uma Economia “Linear” para um modelo “Circular”… 4. Economia circular - Princípios/linhas de atuação 5. Promovendo a economia circular através do consumo (consciente) de produtos 6. A indústria de produtos eletrodomésticos 7. Abordagem Proposta 8. Exemplo de aplicação 9. Considerações finais Seminário Lisboa, Portugal 06 de Dezembro de 2019
- 3. 1.Motivação Algumas key trends actuais… Fonte: Plano de Ação para a Economia Circular, Governo de Portugal • Adicionalmente, e desde 2000, a eficiência material têm vindo a decrescer. • A economia global necessita de mais recursos materiais para gerar a mesma unidade de PIB Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 3 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 4. 2.O modelo Economico “Circular” e a sustentabilidade A existência de um modelo Economico “Circular”, que permita promover o desenvolvimento sustentável, poderá reverter algumas das tendências referidas anteriormente… Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 4 - …e visando cumprir os mais diversos objetivos, fixados no âmbito de compromissos/instituições.. Atuando para o efeito, em três dimensões.. Ex.: Objetivos Desenvolvimento Sustentável – Nações Unidas https://www.un.org/devel opment/desa/disabilities/ envision2030.html Ex. de Objetivo: “Objetivo 12. Assegurar padrões de produção e de consumo sustentáveis” Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 5. 3. Mudando paradigmas: De uma Economia “Linear” para um modelo “Circular”… Mas para isso, é preciso mudar-se de um paradigma “linear” (actual)… para um novo modelo económico mais “circular”… • Mantém produtos, componentes e materiais no seu mais alto nível de utilidade e valor o tempo todo. • ciclo contínuo de desenvolvimento positivo que elimina a noção de resíduo desde o princípio. • Novos produtos = novas matérias primas • Reciclagem no fim de vida (“end-of-pipe”) • Altos volumes crônicos de perdas Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 5 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 6. 4. Economia circular: Principios/linhas de actuação Preservar e aprimorar o capital natural controlando stocks finitos e equilibrando os fluxos de recursos renováveis. Otimizar o rendimento de recursos fazendo circular produtos, componentes e materiais ao mais alto nível de utilidade o tempo todo, tanto no ciclo técnico quanto no biológico. Estimular a efetividade do sistema revelando e excluindo as externalidades negativas desde o princípio (e.g. Emissões de CO2, Aguas residuais, …) Mas para isso, é preciso mudar-se de um paradigma “linear” (factual)… para um novo modelo económico mais “circular”… Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 6 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 7. Na Europa, €1.8 trilhões de benefícios anuais até 2030 em mobilidade, alimentos e ambiente construído em um cenário de desenvolvimento na economia circular Projeção “Business as usual” OPORTUNIDADE INCREMENTO EM RENDIMENTO RECURSOS E EXTERNALIDADES EUR 0.9 trilhões1 EUR 1.8 tri1 Projeção “Economia Circular” 31% emissões 22% consumo de matérias primas 48% emissões 32% consumo de matérias primas PIB 7% 18% 4% 11% 1 Fonte: “Growth Within: A Circular Economy Vision for a Competitive Europe”, Ellen MacArthur Foundation, SUN (Stiftungsfonds für Umweltökonomie und Nachhaltigkeit) and McKinsey Center for Business and Environment, 2015 4. Alguns Benefícios (Estimados) da Economia Circular Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 7 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 8. 5.Promovendo a economia circular através do consumo (consciente) de produtos Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 8 - Incentivo a um consumo “consciente e circular” de produtos e serviços Resolução do Conselho de Ministros n.º 190-A/2017 Plano de Ação para a Economia Circular em Portugal Mas como o fazer?... Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 9. porquê um consumo “consciente e circular” dos eletrodomésticos? Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 9 - Mas como o fazer?... 5.Promovendo a economia circular através do consumo (consciente) de produtos Principais exigências (a vigorar a partir de Abril de 2021), impostas pela EU a fabricantes de eletrodomésticos: • Maior durabilidade; • Facilitar a reparação dos seus produtos por terceiros • Disponibilidade de peças de reposição até 10 anos (pelo menos…) após a compra do produto; • Compatibilidade de peças de reposição com ferramentas comuns, sem prejuízo para o produto • Possibilidade de os produtos podem ser reparados por profissionais independentes. • Facilidade de reciclagem • Menor consumo energético • Menor volume de emissões de gases poluentes (e.g. CO2) • Menor consumo de água (e.g. maquinas de lavar louça, roupa, etc.) • Sector dos edifícios Representa cerca de 30-40 % de consumo de energia final • 27% da energia final (sector edifícios) respeita ao grupo residencial Potencial de economia de energia no sector residencial Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 10. 6.A industria de produtos eletrodomésticos Etiquetagem Energética no contexto da economia circular • Compara o desempenho energético de vários produtos da mesma categoria durante o seu período de utilização (consumos) • Fornece outras informações relevantes, atendendo as necessidades do utilizador/ocupante do edifício (níveis de iluminância, capacidade de roupa Diretiva Europeia 2010/30/EU a falta de compromisso por parte dos consumidores na escolha de eletrodomésticos sustentáveis, deve-se em grande medida a falta de incentivos para o fazerem. (Wong and Krüger, 2017) Wong, I., L., Krüger, E. (2017), Comparing energy efficiency labelling systems in the EU and Brazil: Implications, challenges, barriers and opportunities, In Energy Policy, Volume 109, 2017, Pages 310-323, ISSN 0301-4215, https://doi.org/10.1016/j.enpol.2017.07.005. (Quanto) poderei ganhar com uma escolha sustentável? • Abrange toda a cadeia de mercado de eletrodomésticos, sendo aplicável a: Maquinas de lavar roupa Maquinas de secar roupa Maquinas de lavar louça Lâmpadas Fornos Outros • Não incluí critérios que “classifiquem” os eletrodomésticos quanto ao seu “grau de adequação” no contexto da economia circular Diretiva Europeia 2010/30/EU Algumas limitações Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 10 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 11. Como suportar a tomada de decisão do consumidor de serviços energéticos (eletrodomésticos), através de escolha de soluções sustentáveis, que promovam em simultâneo a economia circular? Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 11 - Questão: Que Máquina Lavar Roupa comprar? …… Que Forno Elétrico comprar? Quanto poderei ganhar com uma escolha sustentável? Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 12. Objetivo: Desenvolvimento de um software de apoio a decisão do consumidor, baseado num modelo, onde a partir de um conjunto de soluções disponíveis no mercado, permita fornecer os serviços energéticos adequados ao consumidor, de forma a promover a sustentabilidade e a economia circular, através das vertentes: Económica Social Ambiental Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 12 - • Desenvolvimento de um conjunto de recomendações e instrumentos inovadores de prevenção e gestão de resíduos • Criação de instrumentos para o envolvimento de stakeholders no desenvolvimento de novas soluções 7.Abordagem proposta Que Máquina de Lavar Roupa comprar? …… Que Forno Elétrico comprar? Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 13. 7.Abordagem proposta - Síntese Metodológica Maq. Lavar roupa Maq. Lavar Louça Frigorifico Forno Ar condicionado Iluminação Maq. Secar Roupa x12 x13 x14 x15 x16 x17 x11 x22 x23 x24 x25 x26 x27 x21 x32 x33 x34 x35 x36 x37 x31 x102 x103 x104 x105 x106 x107 x101 Opção i N Soluções Opção Xij Dimensão j Ar Condicionado Mq. Lavar Louça Frigorifico Forno Elétrico Mq. Secar Roupa Iluminação Aplicação de Algoritmos Evolutivos Multiobjectivo Soluções Existentes no mercado Que Máquina Lavar Roupa comprar? …… Que Forno Elétrico comprar? Mq. Lavar Roupa definido no âmbito do Desenvolvimento Sustentável e Economia Circular e ajustado as necessidades do consumidor (económicas, físicas, …) n Clusters de dados Soluções Sustentáveis Adequadas ao consumidor Modelo MultiAtributo ……. Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 13 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 14. 8.Exemplo de aplicação Exemplo de aplicação: Edifício unifamiliar c/ agregado familiar, composto por de 4 pessoas (4 ocupantes) 17 m 16 m 4 quartos e respetivas casas de banho privativas (1 quarto de casal, 2 quartos individuais e 1 quarto de hóspedes); 1 cozinha; 1 sala de estar; 1 sala de arrumos: 1 sala para as máquinas de lavar roupa e louça; 1 WC comum; Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 14 - Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 15. Exemplo de aplicação: Edifício unifamiliar c/ agregado familiar, composto por de 4 pessoas (4 ocupantes) Parâmetros de entrada e prossupostos adotados Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 15 - 8.Exemplo de aplicação Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 16. Exemplo de resultados obtidos Exemplo de solução sustentável obtida – (ωA = 0,65, ωB = 0,25 e ωC = 0,10) Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 16 - Marca: Philips Modelo: LED spotMV Potência: 8 W Tipo: LED Class. Ef. Energ.: 2 unid Iluminação Marca: Samsung Modelo: AQV09PSBN Potência Refrig: 12000 Btu/h Potência Aquec.: 11000 Btu/h Tipo: Split Class. Ef. Energ.: 1 unid Ar Condicionado Marca: Philips Modelo: LED spotMV Potência: 2400 W Capacidade: 12 conjuntos Ruido: 48 dB Class Ef. Energ.: A++ Mq. Lavar Louça Marca: Becken Modelo: Bc2016 Ix Potência: 255 kW/ano Capacidade: 251 l Tipo: Combinado Nr. Estrelas: 4 Class. Ef. Energ.: A+ Frigorifico Marca: Indesit Modelo: EWE71252W Ruido: 60 dB Capacidade: 8kg Class Ef. Energ.:A++ Mq. Lavar Roupa Marca: Electrolux Modelo: EZC2430AOX Potência: 2700 W Limpeza: Pirolitico Vidro: Triplo Class Ef. Energ.: A+ Forno Elétrico Marca: BOSCH Modelo: WTE84107EE Ruido: 65 dB Capacidade: 8kg Tipo: Condensação Class. Ef. Energ.: A+ Mq. Secar Roupa Poupanças de CO2 Poupança Energética (Hor. Temp.: 10 anos): 2112,30 € Poupança Cons. Àgua (Hor. Temp.: 10 anos): 745 l Investimento total Poupança Emissões CO2 (Hor. Temp.: 10 anos): 1458,90 kg 8.Exemplo de aplicação Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 17. Exemplo de aplicação: Edifício unifamiliar c/ agregado familiar, composto por de 4 pessoas (4 ocupantes) Possibilidade de vários cenários, de acordo com a importância relativa (ωA, ωB e ωC ) atribuída pelo consumidor Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 17 - (ωA = 0,45, ωB = 0,00 e ωC = 0,55) (ωA = 0,65, ωB = 0,35 e ωC = 0,00) (ωA = 0,65, ωB = 0,10 e ωC = 0,15) Superfície de Pareto correspondente 8.Exemplo de aplicação Fronteira de Pareto correspondente Fronteira de Pareto correspondente Dimensão Económica vs Social Dimensão Económica vs Social Dimensões Económica vs Social vs Ambiental Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 18. 9. Considerações finais Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos - 18 - Contribuições para a ciência, industria e sociedade, resultantes da metodologia, objeto de desenvolvimento Seminário Lisboa, Portugal 06 de Dezembro de 2019 José Miguel Soares Ricardo Santos António Abreu
- 19. Obrigado pela vossa atenção. Questões?... - 19 - Identificação de opções sustentáveis no âmbito da indústria dos eletrodomésticos Ricardo Santos GOVCOPP, University of Aveiro, Aveiro, Portugal ADEM, ISEL- Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal António Abreu CTS Uninova, FCT, Universidade Nova de Lisboa, Portugal ADEM, ISEL- Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal José Miguel Soares ADVANCE - Centro de Investigação Avançada em Gestão do ISEG ISEG - Lisbon School of Economics and Management, Universidade de Lisboa, Portugal Seminário Lisboa, Portugal 06 de Dezembro de 2019
Notas do Editor
- https://csg.rc.iseg.ulisboa.pt/2019/08/12/workshop-economia-circular-e-sustentabilidade-chamada-de-trabalhos/
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- A economia circular é um conceito baseado na inteligência da natureza, opondo ao processo produtivo linear o processo circular, onde os resíduos são insumos para a produção de novos produtos. No meio ambiente, restos de frutas consumidas por animais se decompõem e viram adubo para plantas. Esse conceito também é chamado de “cradle to cradle” (do berço ao berço), onde não existe a ideia de resíduo, e tudo é continuamente nutriente para um novo ciclo.
- Atualmente, o nosso sistema produtivo funciona de forma linear, o que não é sustentável devido ao grande acúmulo de resíduos, exploração excessiva de recursos, etc. Nós exploramos a matéria-prima, produzimos bens e depois os descartamos. A obsolescência programada gera resíduos que não recebem novos usos e se acumulam exponencialmente. Para se ter noção, em Portugal , temos hoje mais de 9 milhões de habitantes produzindo resíduos. De acordo com dados do IBGE, cada brasileiro produz quase um quilo de lixo por dia, ou seja, são 183 mil toneladas diárias no país todo (saiba mais sobre resíduos sólidos urbanos).
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Na Europa, €1.8 tri de benefícios anuais até 2030 em mobilidade, alimentos e ambiente construído em um cenário de desenvolvimento na economia circular Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Posto isto…. Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
- Among several available methods, the European For Quality Management (EFQM) model arises in Europe in 1998, not only as a Quality Management method, that allows to attend the goals referred before, but as a method for evaluating the organization’s overall performance. However, and given its qualitative nature, the correspondent assessment doesn’t consider all issues regarding the problem to assess, making it therefore, insufficient. Some detected issues are related with the lack of precise information about the preferences of decision-makers, which are somehow subjective, since it depends on the decision-maker himself. Given the Fuzzy nature of the decision process, the decision maker makes his judgment, based on specific values, instead of judging based on interval’s values. On the other hand, the self-assessment results, are partly varied and dependent on various opinions, which makes the scores of the various consultants, sometimes very different. In this sense, Fuzzy Logic can be a useful method to solve the problems referred above, given its flexibility and robustness, regarding its outputs, which is needed for the decision makers. Therefore, this study intends to provide a methodology in which Fuzzy Logic is employed in a self-assessment process regarding a R&D Center in the HEI’s context. This paper is organized as follows: Section 2 illustrates literature review. Section 3 presents the Methodology and the obtained results, with EFQM excellence model, Fuzzy Logic, the problem statement, as well as the proposed approach and results. The results are compared and discussed. This work ends with Section 4 (conclusions and future work). Literature review Some works have been presented, regarding the issues discussed in this paper, although mainly focused on the implementation and analysis of EFQM model in several organizations, belonging to different sectors. One example is the work of [1], regarding the overall performance of a nuclear power plant, where it was identified strengths and areas to be improved. Based on the obtained score, as well as the analysis of those strengths and areas for improvement, it was possible to prioritize the actions to be performed. Other similar works, can be pointed here, regarding EFQM implementation (e.g. [2]), the integration with Enterprise Resource Planning (ERP) (e.g.[3]), the comparison with other quality management systems (e.g. between ISO 9000 and EFQM [4]), among others. Other works includes the development and application of Fuzzy Logic based on hybrid approaches, combined with AHP techniques [5-6], with TOPSIS method [7], among others. Other application fields of Fuzzy Logic could be pointed out (e.g. [8-13]). Besides the little research, regarding EFQM in the HEI’s [11-12], normally such works, are more focused in the entire HEI’s quality management system [12], instead of in one functional area, and more specifically in a R&D Centers, given its issues to attend.
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