A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information

Büyüközkan, Gülçin; Çifçi, Gizem

doi:10.1016/j.compind.2010.10.009

Cited by 441 publications

(206 citation statements)

References 96 publications

(130 reference statements)

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“…Sustainable (Kannan, Jabbour, et al, 2014) Selecting green suppliers based on green supply chain management practices Buyukozkan and Cifci (2011) Address sustainable supplier selection problem in a real-world case study in Turkish white goods industry Fuzzy-ANP Sustainable Wang et al (2012) Develop a fuzzy CBR approach in a virtual enterprise framework to select the suppliers based on quantitative criteria.…”

Section: Fuzzy-topsismentioning

confidence: 99%

“…Some of these applied techniques include fuzzy analytical hierarchy process (FANP) (Buyukozkan & Cifci, 2011), decision-making trial and evaluation laboratory (DEMATEL) (Chiou et al, 2011), fuzzy analytical hierarchy process (FAHP) (Chiouy et al, 2011), fuzzy inference system (FIS) (Amindoust et al, 2012), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) (Govindan (Govindan, Kannan, et al, 2013) and data envelopment analysis (DEA) (Shi et al, 2015). There are also few research activities that tried to combine two or more techniques in order to form a hybrid approach that could perform better than its constituting techniques individually.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Ghadimi

Dargi

Heavey

2017

Computers & Industrial Engineering

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With the global awareness of sustainability issues, sustainable development is being increasingly recognized by governments and industries. In addressing these issues, organizations worldwide have taken initiatives in adopting sustainability practices in their supply chain transferring it to sustainable supply chain management. In order to establish a responsible sustainable supply chain management, an effective way would be to make sure that the potential suppliers for procuring required components are precisely assessed and evaluated based on sustainable criteria. Therefore, this paper proposes a practical decision making approach to evaluate and select the most sustainable suppliers for an automotive spare part manufacturer licensed under a France-based automotive organization. Firstly, a requirement gathering approach, the audition check-list approach, is designed to facilitate the process of data gathering for supplier evaluation based on three pillars of sustainability. Next, the gathered data are processed using a proposed fuzzy inference system to remove impreciseness and vagueness in the gathered sustainability related data. The strength of this model falls into its applicability in data gathering phase which helps decision makers in manufacturing company to perform a fast audition of a typical supplier. Secondly, the final sustainable ranking of suppliers using the proposed fuzzy inference system provide a precise and less uncertain sustainability performance scoring which makes the developed approach a reliable system for making sustainable sourcing decisions. Comparison and sensitivity analysis are performed to evaluate the proficiency of the developed approach. Finally, theoretical and managerial implications together with conclusions of the study are presented.

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Section: Fuzzy-topsismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Ghadimi

Dargi

Heavey

2017

Computers & Industrial Engineering

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“…Apesar da grande atenção dada a fatores relacionados com o meio ambiente, apenas 3 trabalhos analisados consideraravam aspectos de responsabilidade social e ambiental (BÜYÜKÖZKAN; ÇIFÇI, 2011;HANDFIELD et al, 2002;YEH;CHUANG, 2011).…”

Section: Critérios De Avaliaçãounclassified

Metodologias para seleção de fornecedores: uma revisão da literatura

Viana¹,

Alencar²

2012

Prod.

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ResumoA crescente participação do fornecedor na perfomance geral da contratante tem tornado as organizações mais exigentes na escolha de seus contratados, o que ocasionou a incorporação de uma diversidade de critérios de avaliação ao processo decisório. A relevância e complexidade da decisão de contratação, por sua vez, têm incentivado a busca por novas ferramentas e técnicas de seleção de fornecedores. Nesse sentido, a presente pesquisa realizou uma revisão literária dos trabalhos desenvolvidos relacionados ao tema, na qual foram analisados artigos publicados entre os anos de 1998 e 2011. A partir dessa revisão foi possível identificar as tendências e lacunas da literatura recente, oferecendo aos interessados direcionamento para futuras aplicações e/ou aperfeiçoamentos. Palavras-chaveFornecedores. Seleção de fornecedores. Processo decisório. IntroduçãoO crescente impacto do desempenho do fornecedor na performance de seus contratantes tem feito as organizações repensarem seus métodos de seleção de fornecedores. A relevância da decisão tem aumentado as exigências do processo decisório que se torna cada vez mais complexo em virtude da quantidade e natureza dos critérios considerados na avaliação. Nesse contexto, intensifica-se a busca por ferramentas e técnicas capazes de balancear diversos aspectos dentro de um conjunto de alternativas.A capacidade das organizações em atender as necessidades de seus clientes depende cada vez mais da qualidade dos produtos e serviços das empresas contratadas. Cresce, portanto, a necessidade de fornecedores bem qualificados e, sobretudo, capazes de oferecer suporte às estratégias organizacionais. As contratantes tornam-se mais seletivas e passam a exigir muito mais dos potenciais fornecedores. Tais exigências são traduzidas na forma de critérios de avaliação, adotados para a comparação entre os diferentes candidatos.Vale ressaltar que a incorporação de uma diversidade de critérios aumenta consideravelmente a complexidade do processo de seleção. Além do grande número de fatores de avaliação, o processo lida ao mesmo tempo com critérios quantitativos e qualitativos e, muitas vezes, conflitantes. Daí a importância de métodos que permitam a articulação de diferentes aspectos na avaliação das várias alternativas.A complexidade e relevância da decisão incentivaram o estudo de diferentes técnicas para a atividade de seleção de fornecedores (WEBER, 1996;ALMEIDA, 2001;MEADE;DOHEL, 2003;CHENA;LINB;HUANG, 2006;RAMANATHAN, 2007;TING;CHO, 2008;CARMO;BARROS NETO;DUTRA, 2011). Desse modo, foi desenvolvida uma variedade de ferramentas e técnicas no intuito de simplificar o processo decisório e aumentar a eficiência e eficácia dos resultados.Esse artigo visa investigar na literatura os trabalhos desenvolvidos recentemente sobre o tema, identificando tendências, assim como lacunas existentes. Objetiva-se com isso disseminar as metodologias em maior destaque na literatura e, dessa forma, fornecer aos interessados conhecimento para a adoção e/ou aprimoramento dos métodos.

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“…Then, the gray aggregation method was used to evaluate suppliers' involvement propensity in various GSD programs. Büyüközkan and Ç ifçi (2011) developed an approach for sustainable supplier selection based on fuzzy ANP considering incomplete preference relations. Criteria were evaluated by experts' opinions, and missing values were estimated by incomplete preference relations.…”

Section: Supplier Selectionmentioning

confidence: 99%

Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

Kuo

Hsu

Chen³

2015

Int. J. Environ. Sci. Technol.

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Previous studies have proven that enterprises addressing green supply chain management problem may produce an apparent improvement to their stockholder interests. According to the report of Kearney (Carbon Disclosure Project: supply chain report 2010. CDP, London, 2010), more than 80 % of the carbon emissions are generated from the suppliers' activities in a company's performance. Many members of the project claimed that they will reassess their suppliers as soon as possible. Therefore, to combine the carbon management issue and supplier evaluating problem turns to be a very crucial work. Therefore, this study intends to develop a framework of the supplier evaluating process for carbon management by integrating fuzzy ANP and fuzzy TOPSIS approaches. Thirteen criteria of carbon management under four dimensions were identified by literature review and modified according to the opinion of seven experts in the environmental department. The model result in a case company shows that three of the most important criteria are ''carbon governance,'' ''carbon policy'' and ''carbon reduction targets.'' The proposed hybrid methodology has great ability to explain the vagueness of decision maker's expression and better discrimination power to evaluate suppliers in carbon management.

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A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information

Cited by 441 publications

References 96 publications

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Metodologias para seleção de fornecedores: uma revisão da literatura

Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

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