A fuzzy approach method for supplier selection

Bayrak, M. Y.; Çelebi, Numan; Taşkın, Harun

doi:10.1080/09537280600940713

Cited by 90 publications

(38 citation statements)

References 25 publications

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“…Among formal decision tools' Satty's analytic network process (ANP) model [30] is assumed to be suitable for the project evaluation process. On the contrary, some researchers [31][32][33] have iterated that to integrate the cardinal and ordinal preferences using ANP/ AHP for project selection decisions are not valid. In the research paper, project selection and evaluation studies have been carried under fuzziness [34][35][36][37].…”

Section: Related Workmentioning

confidence: 99%

A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness

Bakshi¹,

Sarkar²,

Sanyal³

2012

IJCA

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Now-a-days software manufacturing companies usually try to capture market share with rapid software development. Actually the development of high quality software products can decrease cost by reducing rework and increasing productivity. For that, reason selection of software projects is an important task. Several factors come into consideration while selection of proper project for a specified job. To deal with this typical situation the current researchers combined the much known AHP(Analytic Hierarchy Process) with QFD (Quality Function Deployment). Here the AHP method redefined under fuzziness. Then QFD process is applied to identifying and ranking customer's need and translating them into product / service specification. At the last sensitivity analysis has been done to make the process more robust from the characterization of integration of the fuzzy AHP & QFD.

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Section: Related Workmentioning

confidence: 99%

A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness

Bakshi¹,

Sarkar²,

Sanyal³

2012

IJCA

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“…There are many research have been conducted in supplier selection to deal with fuzzy environment. For example, Bayrak, Celebi and Taskin (2007) proposed a fuzzy preference index to select the best supplier. Guneri and Kuzu (2009) gave a case study in supplier selection using fuzzy approach in just in time environment.…”

Section: Literature Reviewmentioning

confidence: 99%

A concurrent optimization model for supplier selection with fuzzy quality loss

Rosyidi

Murtisari

Jauhari

2017

JIEM

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Abstract:Purpose: The purpose of this research is to develop a concurrent supplier selection model to minimize the purchasing cost and fuzzy quality loss considering process capability and assembled product specification.Design/methodology/approach: This research integrates fuzzy quality loss in the model to concurrently solve the decision making in detailed design stage and manufacturing stage. Findings:The resulted model can be used to concurrently select the optimal supplier and determine the tolerance of the components. The model balances the purchasing cost and fuzzy quality loss. Originality/value:An assembled product consists of many components which must be purchased from the suppliers. Fuzzy quality loss is integrated in the supplier selection model to allow the vagueness in final assembly by grouping the assembly into several grades according to the resulted assembly tolerance.

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“…Jain et al (2007), developed a FST approach to support decision-makers by enhancing flexibility in presence of both tangibles and intangibles attributes. Bayrak et al (2007) and Lee et al (2008) proposed fuzzy methods in which both weights and vendor ratings were represented through fuzzy numbers. Amid et al (2006), Amid et al (2009), andPan et al (2014) discussed the integration of FST with optimization techniques for dealing with the SS problem.…”

Section: Ahp-based Approachesmentioning

confidence: 99%

Applying supplier selection methodologies in a multi-stakeholder environment: A case study and a critical assessment

Bruno

Esposito

Genovese

et al. 2016

Expert Systems with Applications

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Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request.Applying supplier selection methodologies in a multi-stakeholder environment: a case study and a critical assessment In the contemporary global market, Supplier Selection represents a crucial process for enhancing firms' competitiveness. In firms operating in low-complexity sectors, Supplier Selection generally leverages on few significant variables (price, delivery time, quality) and it is often left to the buyers' experience. On the other hand, in industries characterised by remarkable product complexity, supplier selection systems gain the characteristics of a multistakeholder and multi-criteria problem, which needs to be theoretically formalized and realistically adapted to specific contexts. An increasing number of researches has been devoted to the development of different methodologies to cope with this problem. Nevertheless, while the number of applications is growing, there is little empirical evidence of the practical usefulness of such tools, that are mainly tested on numerical examples or computational experiments and focused on a dyadic version of the problem, overlooking the wider set of actors involved in the decision-making problem. The result is a clear dichotomy between academic theory and business practice. Therefore, the paper contributes to understand the above dichotomy by evaluating the applicability to real-world multi-stakeholder problems of the two main approaches proposed in the literature to deal with supplier selection, the Analytic Hierarchic Process (AHP) and the Fuzzy Set Theory (FST). Based on an industrial case study, a thorough discussion is developed, dealing with the issues arising during the implementation and practical functioning of such decision support systems, also providing provide practical guidelines and managerial implications.Keywords: supplier selection, analytic hierarchy process, fuzzy set theory, complex industries. Applying supplier selection methodologies in a multi-stakeholder environment:a case study and a critical assessment AbstractIn the contemporary global market, Suppli...

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A fuzzy approach method for supplier selection

Cited by 90 publications

References 25 publications

A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness

A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness

A concurrent optimization model for supplier selection with fuzzy quality loss

Applying supplier selection methodologies in a multi-stakeholder environment: A case study and a critical assessment

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