A Fuzzy AHP Method for Green Supplier Selection and Evaluation

Zafar, Aqsa; Zafar, Muqaddas; Sarwar, Adnan; Raza, Hassan; Khan, Muhammad Ashraf

doi:10.1007/978-3-319-93351-1_105

Cited by 8 publications

(8 citation statements)

References 20 publications

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“…But in general, green criteria include green production process activities [14]. On the other hand, some researchers have considered only environmental sustainability issues and they have handled only environmental criteria for supplier selection [5]. Table 1 summarizes the results of the literature review in terms of the criteria used for green supply selection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The main aim of the theory is modelling the uncertainty and vagueness mathematically. Also, it provides methods for analyzing the uncertainty in the structure of most decision problems [5]. A fuzzy set is defined as an extension of a crisp set.…”

Section: Fuzzy Set Theorymentioning

confidence: 99%

“…To achieve this goal, matching the right products with the right customers is vital. In the short run, effective SCM provides a reduction in inventory cycle time and an increase in productivity whereas in the long run, it provides an augmentation in the customer satisfaction and market share [5].…”

Section: Introductionmentioning

confidence: 99%

“…Actually, reduction the alternatives to the final choices is the main aim of this process [7]. While evaluating the suppliers who have potential for fulfilling the companies' needs consistently and at an acceptable cost, multiple factors or criteria (qualitative or quantitative) are examined [5]. When the supplier selection literature has been reviewed, some common criteria such as quality, performance and delivery on time are encountered by the researchers [8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Tuş

Adalı

2022

Gazi University Journal of Science

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Section: Literature Reviewmentioning

confidence: 99%

Section: Fuzzy Set Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Tuş

Adalı

2022

Gazi University Journal of Science

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“…Different approaches have been suggested and applied for green supplier assessment and assortment, including grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) (Fu et al 2012), grey analytic network process (ANP) (Dou et al 2014), data envelopment analysis (DEA) (Dobos and Vörösmarty 2014), fuzzy additive ratio assessment and multisegment goal programming (Liao et al 2016), the qualitative flexible multiple method (Wang et al 2017), DEMATEL-ANP (Jiang et al 2018), TOPSIS (Shafique 2018), elimination and choice expressing reality (Gitinavard et al 2018), Visekriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) (Demir et al 2018), TOPSIS-VIKOR-grey relational analysis (Banaeian et al 2018), the preference ranking organization technique for improving assessments (Abdullah et al 2018), fuzzy analytic hierarchy process (AHP) (Zafar et al 2019), BWM and TOmada de Decisao Interativa Multicriterio (TODIM) (Bai et al 2019), and hybrid FUll COnsistency Method (FUCOM) and rough simple additive weighting (SAW) techniques (Durmić et al 2020). Prakash and Barua (2015) studied RL obstacles and used AHP and TOPSIS to rank barriers.…”

Section: Green Supplier Assessment and Assortmentmentioning

confidence: 99%

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Tavana

Shaabani

Santos‐Arteaga

et al. 2021

Environ Sci Pollut Res

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Green supply chain management considers the environmental effects of all activities related to the supply chain, from obtaining raw materials to the final delivery of finished goods. Selecting the right supplier is a critical decision in green supply chain management. We propose a fuzzy green supplier selection model for sustainable supply chains in reverse logistics. We define a novel hierarchical fuzzy best-worst method (HFBWM) to determine the importance weights of the green criteria and sub-criteria selected. The fuzzy extension of Shannon's entropy, a more complex evaluation method, is also used to determine the criteria weights, providing a reference comparison benchmark. Several hybrid models integrating both weighting techniques with fuzzy versions of complex proportional assessment (COPRAS), multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA), and the technique for order of preference by similarity to ideal solution (TOPSIS) are designed to rank the suppliers based on their ability to recycle in reverse logistics. We aggregate these methods' ranking results through a consensus ranking model and illustrate the capacity of relatively simple methods such as fuzzy COPRAS and fuzzy MOORA to provide robust rankings highly correlated with those delivered by more complex techniques such as fuzzy MULTIMOORA. We also find that the ranking results obtained by these hybrid models are more consistent when HFBWM determines the weights. A case study in the asphalt manufacturing industry is presented to demonstrate the proposed methods' applicability and efficacy.

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An Integrated Multi-criteria Structural Equation Model for Green Supplier Selection

Baki

2022

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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The aims of the current study are to determine the criteria to be considered in a green supplier selection (GSS) process, develop an integrated decision-making approach using structural equation modelling (SEM) and fuzzy additive ratio assessment (ARAS) techniques to rank suitable suppliers, and investigate the effectiveness of this approach in collective decision-making. The study’s ultimate objective is to propose a method created from the perspective of fuzzy logic in which criterion weights are determined using SEM to resolve decision-making challenges such as GSS, in which a compromise solution is desired. In the first stage of the study, relevant literature as examined in detail. Eight main criteria and 27 sub-criteria were detected, taking into account classical, green, and social supplier selection (SS) criteria. A questionnaire was administered to 254 participants who were actively involved in SS processes for their companies, and the data were analyzed using SEM. In the second phase, six suppliers were evaluated considering the criteria found to have a positive impact on GSS, and fuzzy ARAS was applied. The results showed that the factors affecting GSS are quality (0.291), social responsibility (0.222), service (0.21), cost (0.149) and green product (0.128). The study presents an effective, objective, and fast method that can be used in decision-making problems such as GSS, that prevents potential loss of information and lack of transparency through an integrated approach, and that can be tested with a generalizable framework. The proposed hybrid method is an efficient and practical approach that can be tested on many decision-making problems, such as SS.

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A Fuzzy AHP Method for Green Supplier Selection and Evaluation

Cited by 8 publications

References 20 publications

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

An Integrated Multi-criteria Structural Equation Model for Green Supplier Selection

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