Supplier selection based on supply chain ecosystem, performance and risk criteria

Viswanadham, N.; Samvedi, Avinash

doi:10.1080/00207543.2013.825056

Cited by 119 publications

(72 citation statements)

References 15 publications

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“…Therefore, fuzzy concepts have been integrated into the TOPSIS method (Choudhary and Shankar, 2012). The fuzzy TOPSIS technique is an appropriate method to analyze multi criteria problems under fuzzy surroundings (Dagdeviren et al, 2009;Viswanadham and Samvedi, 2013;Patil and Kant, 2014;Taylan et al, 2014;Prakash and Barua, 2015). Various computational steps considered in employing the fuzzy TOPSIS method can be outlined (Kuo et al, 2007;Büyüközkan et al, 2008;Sun, 2010) as below: …”

Section: Fuzzy Topsismentioning

confidence: 99%

“…In this regard, this study has used Chang's Extent Analysis method. This method has been widely accepted to calculate fuzzy aggregate importance weights for the fuzzy input pair-wise evaluation matrix (Viswanadham and Samvedi, 2013;Mangla et al, 2015). The details of essential calculations of extent analysis method as described by Chang (1992) are given as: If extent analysis values for the ith object are represented by O 1…”

Section: Linguistic Variablesmentioning

confidence: 99%

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Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective

Mangla

Kumar

Barua

2015

Sustainable Production and Consumption

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Section: Fuzzy Topsismentioning

confidence: 99%

Section: Linguistic Variablesmentioning

confidence: 99%

Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective

Mangla

Kumar

Barua

2015

Sustainable Production and Consumption

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“…De modo idiossincrático, o advento da Gestão da Cadeia de Suprimentos Sustentável (CARTER; EASTON, 2011;SELLITO et al, 2013;SEURING;MILLER, 2008;SRIVASTAVA, 2007;) reforça a seleção de fornecedores sustentáveis como uma atividade que impacte diretamente no desempenho de empresas e de suas cadeias de suprimentos (TRACEY; TAN, 2001;ITTNER et al, 1999;TAN, 2006;NAIR;JAYARAM;DAS, 2015;VISWANADHAM;SAMVEDI, 2013).…”

Section: Introductionunclassified

Métodos quantitativos para seleção de fornecedores sustentáveis: uma revisão sistemática da literatura

Ganga

Rodrigues

Yoshino

et al. 2016

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

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Resumo: A temática ambiental e social, cada vez mais presente e atuante no cotidiano das operações das empresas, precisa ser tratada no contexto da seleção de fornecedores, pois a literatura acadêmica e profissional é carente nesta área, especialmente no que tange ao uso de métodos quantitativos e no tratamento de aspectos sociais. Para tanto, o objetivo deste artigo foi realizar uma revisão sistemática da literatura com um propósito descritivo-explicativo que permitisse coletar, identificar, selecionar e avaliar criticamente os métodos quantitativos utilizados na seleção de fornecedores sustentáveis do ponto de vista verde e social. Buscando ir além de uma revisão sistemática tradicional, este trabalho fez uso também de técnicas de análise de conteúdo via tag clouds e de análise de correspondência. As principais evidências encontradas na literatura sobre seleção de fornecedores verdes/sustentáveis foi o uso intensivo de técnicas combinadas e a ampla adoção da lógica fuzzy nas técnicas multicritério, programação matemática e inteligência artificial.Palavras-chave: Seleção de fornecedores verdes ou sustentáveis. Revisão sistemática da literatura. Análise de conteúdo. Análise de Correspondência.Abstract: Both environmental and social issues are nowadays part of the decision-making process, but these aspects are not properly explored by the academic and professional literature about supplier selection. This is particularly true when considering the social perspective combined with quantitativeoriented selection methods. Thus, this paper presents a descriptive-explicative systematic literature review that collects, identifies, selects and critically analyzes several different quantitative methods for supplier selection, from both social and environmental viewpoints. In order to go beyond traditional literature reviews, this paper also employs both content analysis (via tag clouds) and correspondence method. Results indicate that the literature makes extensive use of combined approaches, mainly those merging fuzzy logic, multi-criteria, mathematical programming and artificial intelligence-based methods.

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“…However in global scenario, the main *Corresponding author. E-mail: kajalchatterjee19@yahoo.in barrier in selecting suitable alternative supplier involve political, economic and social related risk factors that need to identified and proper methodology be develop to deal with them (Viswanadham, Samvedi 2013). Up to now, several supplier selection decision framework are proposed to evaluate the potential supply chain partners in many industries, but very few works are done in telecom supply chain considering various impacts of risk factors that influence overall business performance (Badri Ahmadi et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Chatterjee

Kar

2018

Technological and Economic Development of Economy

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Abstract. In the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman's correlation coefficient for checking the reliability of the ranking result.

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Supplier selection based on supply chain ecosystem, performance and risk criteria

Cited by 119 publications

References 15 publications

Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective

Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective

Métodos quantitativos para seleção de fornecedores sustentáveis: uma revisão sistemática da literatura

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

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