A Fuzzy Analytic Hierarchy Process Methodology for the Supplier Selection Problem

Özfırat, Pınar Mızrak; TUNA, GOKCECICEK; TUNCEL, GONCA

doi:10.1142/9789814417747_0048

Cited by 4 publications

(3 citation statements)

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“…The suppliers should be selected on the basis of product characteristics, product life cycle and required reliability of finished products (Ebrahimipour et al, 2016). The multi-criteria decision-making (MCDM) approaches such as analytic hierarchy process (AHP), analytic network process (ANP) and TOPSIS has also been used for the selection of appropriate suppliers (Faisal et al, 2017;Azadeh et al, 2016;Asgari et al, 2016;Yadav and Sharma, 2016;Ara ujo et al, 2015;Ö zfirat et al, 2014). Other researchers have used other MCDM methods toward supplier selection both in foreign and Indian contexts.…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier selection using SWARA and WASPAS – a case study of Indian cement industry

Singh

Modgil

2020

MBE

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Purpose This paper aims to evaluate and prioritize the key supplier selection indicators and to establish the relationship between available alternatives and selected indicators by using step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS). Design/methodology/approach Authors have extracted the supplier selection criteria from literature and used a combined SWARA-WASPAS method to evaluate and rank the criteria’s. SWARA is applied for evaluating and weighting selection criteria, whereas WASPAS helped in evaluating different available alternatives based on supplier selection indicators. Findings Finding from SWARA suggests that supplier management is the high weighted criteria followed by information sharing and joint actions. WASPAS was used to evaluate the available alternatives and supplier A1 got the highest priority. Additionally, sensitivity analysis indicates the different scenarios for the best supplier selection. Practical implications Working executives can use the SWARA for assessment of weights of finalized indicators for their firm in the cement industry. Further, the calculated weights can be used for product and sum weightage through WASPAS to finalize the best supplier. Originality/value The originality of the manuscript lies in the sector and methodology. Author(s) applied the SWARA and WASPAS method for supplier selection in the Indian cement industry that will help working executives to evaluate their supply chain partners.

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Section: Literature Reviewmentioning

confidence: 99%

Supplier selection using SWARA and WASPAS – a case study of Indian cement industry

Singh

Modgil

2020

MBE

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“…To solve the supplier selection problem, some studies have preferred a one-stage method, while others have preferred two-stage integrated methods. Some of the studies that employed one-stage methods for supplier selection are as follows: the analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) [3,4,5,6,7,8,9,10]; the analytic network process (ANP) and FANP [11,12,13,14]; DEA [15,16,17,18]; fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) [19,20,21]; multiobjective 0-1 programming (MOP) [22,23]; linear programming (LP) and goal programming (GP) [24,25,26,27]; genetic algorithm (GA) [24,28]; fuzzy mixed integer goal programming (f-MIGP); and fuzzy mixed integer linear programming (f-MILP) [29,30]. [32], and Chai, Liu and Ngai [33] conducted detailed studies on supplier selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating Qualitative and Quantitative Factors in Supplier Selection and Performance Evaluation

Samut

Aktan

2019

SAJIE

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Companies need to cooperate with reliable and high-performing suppliers of goods and services, and build mutual long-term relationships in order to sustain their existence and increase their market share. An engineering manager can determine the most effective strategy in supplier selection by the proposed model, which allows an integration of objective values and the uncertainty of human judgements. A two-stage integrated fuzzy analytic network process (FANP) and super-efficiency data envelopment analysis (DEA) model is proposed and applied to a wind turbine project of a company operating in the renewable energy sector. At the first stage of the methodology, the weights of the qualitative criteria were determined by using FANP. At the second stage, the qualitative supplier selection criteria that were converted into quantitative criteria with FANP were used as outputs; and cost (which was already a quantitative criterion) was used as an input in the DEA, by way of which the performances of the suppliers were assessed. This study, which includes decision-making, performance management, and supply chain management issues, introduces a new approach, both in terms of the sector referred to and the methodology that enables companies to select the best suppliers by assessing both qualitative and quantitative factors.

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“…Some examples of multi-criteria methodologies used in supplier selection can be classified into 3 groups (Figure 1). The first group is the Multi Attribute Decision Making (MADM) including AHP or fuzzy AHP (Asamoah, et al 2012;Özfirat, et al 2014;Özkan, et al 2011;Secundo, et al 2017;Tahriri, et al 2008;Yadav and Sharma 2016), ANP (Gencer and Gürpinar 2007;Hsu and Hu 2009;Rezaeisaray, et al 2016) and mix between methods (Sevkli, et al 2008;Yadav and Sharma 2015). The second group is Artificial Intelligent such as case based reasoning (CBR) (Jahani, et al 2011;Zhao and Yu 2011).…”

Section: Sourcing -Supplier Selectionmentioning

confidence: 99%

ECMS 2019 Proceedings edited by Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco

2019

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The 33rd edition of the ECMS conference, a widely consolidated interdisciplinary forum for simulation and modeling researchers and practitioners that keeps its reference position year after year, brings with it two novelties: a new name and a new form of publication. In fact, to better catch in the name the actual situation of participants, the European Council for Modelling and Simulation decided to rename the event as "ECMS International Conference on Modelling and Simulation". This year, we also start a new book series of annual volumes, namely "Communications of the ECMS", which replaces the name "Proceedings" in order to acknowledge the recognition and reputation of the scientific community of simulation. This year the chosen conference venue is in Caserta, Italy. The Università degli Studi della Campania "Luigi Vanvitelli", previously known as Seconda Università degli Studi di Napoli, a state-owned university founded in 1990 with the explicit mission of meeting the cultural demand of the population living in the northern part of Campania. Caserta, famous for its wonderful royal palace, whose facilities will host the conference, is a city with a long history, already inhabited in the 5th century BC. It flourished in the middle age and then in the XVI-XVII century AD, surrounded by a geographical area rich of historical relevance that was under Roman influence.The university is characterized by its diffusion over the territory of the province of Caserta, having its 16 departments located in Caserta, Aversa and Santa Maria Capua Vetere, and Napoli, in which its roots can be found: the most of the departments are located in historical landmarks, that have been saved and recovered by specific agreements and funding. More than 25000 students from Italy and abroad study at Vanvitelli University enrolled in bachelor, master and PhD. curricula, taught as well in Italian as in English, and covering different aspects of mathematics, physics, data analytics, engineering, law, economics, political sciences, medicine, nursery, biotechnology, pharmacy, environmental sciences, cultural heritage, literature, psychology, tourism, design and architecture.We are honored to offer, besides the scientific program of the conference, consisting in more than 65 high quality accepted papers, a rich and various series of social events, as usual for the spirit of this conference.

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A Fuzzy Analytic Hierarchy Process Methodology for the Supplier Selection Problem

Cited by 4 publications

References 0 publications

Supplier selection using SWARA and WASPAS – a case study of Indian cement industry

Supplier selection using SWARA and WASPAS – a case study of Indian cement industry

Integrating Qualitative and Quantitative Factors in Supplier Selection and Performance Evaluation

ECMS 2019 Proceedings edited by Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco

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