Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

Tuzkaya, Gülfem; Özgen, Arzum; Özgen, Doğan; Tuzkaya, Umut Rıfat

doi:10.1007/bf03326087

Cited by 175 publications

(90 citation statements)

References 41 publications

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“…Table 1 summarizes economic criteria in supplier evaluation literature. (Shen et al, 2013) (Tseng and Chiu, 2013) (Tuzkaya et al, 2009) (Yeh and Chuang, 2011) Cost and…”

Section: Economic Criteriamentioning

confidence: 99%

An integrated approach to evaluate suppliers in a sustainable supply chain

Petrudi¹,

Abdi²,

Goh³

2018

10.5267/j.uscm

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The purpose of this paper is to propose an integrated multiple criteria decision making (MCDM) approach to analyze interrelationships among sustainability criteria, weight them, and then evaluate suppliers according to these criteria. Data were collected through interviewing with seven experts who are involved in the procurement department of the case. Interpretive structural modelling (ISM), and pairwise comparison questionnaire are used to elicit the existence, strength of relationships among criteria and then weight them by using Fuzzy (Decision Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Preference Programming (FPP), and Analytical Network Process (ANP). Then, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed to evaluate suppliers based on identified and analyzed sustainability criteria. This study provides several implications for practitioners and scholars. First, the results show the efficiency of the proposed approach in practice. Second, respondents state that the proposed approach was very useful in decision making based on interrelationships among criteria, alternatives and policies. Third, findings validate the significant difference in rankings with or without considering interdependencies among criteria.

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“…Table 1 summarizes economic criteria in supplier evaluation literature. (Shen et al, 2013) (Tseng and Chiu, 2013) (Tuzkaya et al, 2009) (Yeh and Chuang, 2011) Cost and…”

Section: Economic Criteriamentioning

confidence: 99%

An integrated approach to evaluate suppliers in a sustainable supply chain

Petrudi¹,

Abdi²,

Goh³

2018

10.5267/j.uscm

View full text Add to dashboard Cite

show abstract

“…Lu et al (2007) proposed a framework for evaluating the environmental performance of suppliers with respect to the main criteria materials, energy using, solid residues, liquid residues, and gaseous residues. Tuzkaya et al (2009) built a framework for evaluating suppliers against six main environmental criteria and 31 sub-criteria. Lee et al (2009) developed two sets of criteria and sub-criteria: one for the evaluation of conventional suppliers and one for the evaluation of green suppliers, illustrating how assessment criteria should be adjusted to serve a particular goal.…”

Section: Literature Reviewmentioning

confidence: 99%

Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC

et al. 2017

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In the past decade, there has been an increasing interest in green supply chain management, which integrates environmental thinking into supply chain management. Assessing a supplier's potential for improvement is very important when an organization wants to achieve certain environmental targets concerning their supply base, taking into account the limited resources available. In this paper, incorporating environmental evaluation criteria into a comprehensive supplier segmentation approach called 'supplier potential matrix' (SPM), a green supplier segmentation is proposed to segment the suppliers. Two overarching dimensions-supplier's capabilities and supplier's willingness-are used to evaluate the supplier's green potential. The two dimensions are measured by multiple criteria. A sorting method called ELECTRE TRI-rC is used to solve the resulted multi-criteria decision-making problem. In order to make a more meaningful distinction, a simple method is also proposed to assess the suppliers with respect to the carbon footprint of the raw materials they supply. The results of this assessment are combined with the ones of the SPM, resulting in a more useful segmentation. The proposed model is applied to a sample containing the suppliers of a large international company.B Jafar Rezaei

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“…In particular, in the case of MCDM under uncertainty, fuzzy systems have been proven to provide very suitable techniques for a remarkable range of real-world problems and, in particular, in energy planning. This is because these processes have many sources of uncertainty, long time frames, intensive investments, multiple decision makers and many conflicting criteria (Liu 2007;Tuzkaya et al 2009). …”

Section: Introductionmentioning

confidence: 99%

“…In different studies, fuzzy MCDM approaches have been developed to help energy planners and policy makers. In fact, fuzzy and QR techniques are capable of representing uncertainty, emulating skilled humans, and handling vague situations (Dubois and Prade 1980;Tuzkaya et al 2009). Application of the fuzzy set theory, established by Zadeh (1965), plays an important role in overcoming uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

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Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

Cited by 175 publications

References 41 publications

An integrated approach to evaluate suppliers in a sustainable supply chain

An integrated approach to evaluate suppliers in a sustainable supply chain

Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

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