Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment

Pramanik, Dipika; Haldar, Anupam; Mondal, Somnath; Naskar, Sagar; Ray, Amitava

doi:10.1080/17509653.2015.1101719

Cited by 73 publications

(48 citation statements)

References 37 publications

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“…We witness the use of TOPSIS method as part of the combined methodology in Pramanik et al (2017) and Jajidi et al (2009). In the ideal solution mechanism of TOPSIS methodology, the alternative with the shortest or the longest geometric distances from the positive or the negative ideal solutions, respectively is selected.…”

Section: Evaluation With Respect To Methodsmentioning

confidence: 99%

“…In terms of sectoral distribution, 26 out of 39 articles contain applications in technologyintensive sectors with the following distribution: 9 applications in electronic production (Amin and Zhang, 2012;Chan and Chan, 2004;Chen and Wu, 2013;Huang and Keskar, 2007;Kuo et al, 2010b;Lin et al, 2011;Narasimhan et. al, 2001;Pramanik et al, 2017;Wu et al, 2009), 8 applications in automotive sector (Aksoy and Öztürk, 2011;Golmohammadi, 2011;Huang and Hu, 2013;Kasirian and Yusuff, 2013;Sarı and Timor, 2016;Shahroudi and Rouyde, 2012;Yıldız and Yayla, 2017;Zeydan et al, 2011), 3 applications in hi-tech equipment manufacturing (Kuo and Lin, 2012;Tseng and Lin, 2005;Wu and Weng, 2010), 2 articles in 3C (computers, communication and consumer electronics), (Chen et al, 2014;Chou ve Chang, 2008), 1 study in information (Amin ve Razmi, 2009), electronic market (Fazlollahtabar et al, 2011), 1 application in automotive lightening systems (Kuo et al 2010a), and 1 hypothetical company (Chan, 2003). Since 70% of the resources are related with technology-intensive sectors, it can be easily argued that the resource set and the findings are highly relevant to ICT sector.…”

Section: Sectoral Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

A Generic Strategic Supplier Selection Model in Information and Communication Technologies

Karaöz

Tekin

Akyüz

2019

bmij

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Tedarikçi derecelendirme ve seçim konusu, tedarik zinciri yönetiminde stratejik önem kazanmıştır ve tedarikçi seçim süreci, literatürde çok kriterli karar verme konusu olarak görülmektedir. Bu çalışma, bilgi ve iletişim teknolojileri (BİT) sektöründe mal ve hizmet sağlayan tedarikçiler için stratejik tedarikçi seçimine odaklanmaktadır. Örnek şirkette karşılaştırmalı bir analiz yapılmıştır. Analiz sırasında, şirkette kullanılan kriterlerin literatürde var olan kriterlere göre eşleştirilmesi yapılmış ve karşılaştırmalı çalışma iki farklı ağırlık seti ile gerçekleştirilmiştir. Önerilen entegre TOPSIS - [ANP-TOPSIS] yaklaşımından elde edilen sonuçların daha ayırımcı sonuçlarla sonuçlandığı ortaya çıkmıştır. Kullanılan karşılaştırmalı yaklaşıma ve karar destek sistemine olan gereksinime dayanarak, tedarikçi seçimi için genelleştirilmiş bir model ve bu genelleştirilmiş model ile bağlantılı olarak bir karar destek sisteminin kavramsal tasarımı önerilmektedir.

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Section: Evaluation With Respect To Methodsmentioning

confidence: 99%

Section: Sectoral Evaluationmentioning

confidence: 99%

A Generic Strategic Supplier Selection Model in Information and Communication Technologies

Karaöz

Tekin

Akyüz

2019

bmij

View full text Add to dashboard Cite

show abstract

“…They proposed a hybrid ensemble and AHP approach to select a suitable supplier. Pramanik, et al [44] developed a resilient supplier selection model using AHP-TOPSIS and Sen, et al [45] proposed g-resilient supplier selection model using dominance-based fuzzy decision making. Wang, Zhang, Chong and Wang [18] developed a resilient supplier selection model for construction supply chain by integrating building information modelling and geographical information system.…”

Section: Literature Reviewmentioning

confidence: 99%

Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain

et al. 2019

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Modern supply chains are vulnerable to high impact, low probability disruption risks. A supply chain usually operates in such a network of entities where the resilience of one supplier is critical to overall supply chain resilience. Therefore, resilient planning is a key strategic requirement in supplier selection decisions for a competitive supply chain. The aim of this research is to develop quantitative resilient criteria for supplier selection and order allocation in a fuzzy environment. To serve the purpose, a possibilistic fuzzy multi-objective approach was proposed and an interactive fuzzy optimization solution methodology was developed. Using the proposed approach, organizations can tradeoff between cost and resilience in supply networks. The approach is illustrated using a supply chain case from a garments manufacturing company.

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“…Step-wise Weight Assessment Ratio Analysis (SWARA) [1], AHP and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) [47], AHP and QFD [2,48], QFD and MCDM [49]; AHP-TOPSIS-QFD [50] have been successfully applied to optimize the supplier evolution process.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional QFD is only used for decision-making problems with crisp numbers and many extended versions of QFD were proposed to deal with fuzzy information. Various QFD approaches using crisp and fuzzy numbers have been presented in the literature [2,10,[40][41][42][43][48][49][50]. However, there exist few studies on the application of the QFD technique in a neutrosophic environment [64] and, thus far, no research has extended QFD for INS.…”

Section: Introductionmentioning

confidence: 99%

New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

Van

Dat

et al. 2018

Sustainability

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Green supplier evaluation and selection plays a crucial role in the green supply chain management of any organization to reduce the purchasing cost of materials and increase the flexibility and quality of products. An interval neutrosophic set (INS)-which is a generalization of fuzzy sets, intuitionistic fuzzy sets (IFS) and neutrosophic sets (NS)-can better handle the incomplete, indeterminate and inconsistent information than the other sets. This paper proposes a new integrated Quality Function Deployment (QFD) in support of the green supplier evaluation and selection process. In the proposed approach, INS is used to assess the relative importance of the characteristics that the purchased product should have (internal variables "WHATs") in order to satisfy the company's needs, the relevant supplier assessment criteria (external variables "HOWs"), the "HOWs"-"WHATs" correlation scores, the resulting weights of the "HOWs" and the impact of each potential supplier. The normalized weighted rating is then defined and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is developed to obtain a final ranking of green suppliers. A case study is applied to demonstrate the efficiency and computational procedure of the proposed method.

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Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment

Cited by 73 publications

References 37 publications

A Generic Strategic Supplier Selection Model in Information and Communication Technologies

A Generic Strategic Supplier Selection Model in Information and Communication Technologies

Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain

New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

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