Modeling the criteria for selection of suppliers towards green aspect: a case in Indian automobile industry

Mathiyazhagan, K.; Sudhakar, Sooriya; Bhalotia, Abhishek

doi:10.1007/s12597-017-0315-8

Cited by 29 publications

(13 citation statements)

References 45 publications

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“…According to the results shown in Table 12, the top five sub-criteria are cleaner production, energy/material saving, green package, remanufacturing, and environmental management system, with global weights of 0.249, 0.214, 0.130, 0.120, and 0.065, respectively. The results of this study are consistent with the findings of previous studies (Diabat et al 2013;Sahu et al 2016;Mathiyazhagan et al 2018;Lee et al 2009;Genovese et al 2013;Sun and Zhu 2018;Lee et al 2009; 3rd Uygun and Dede 2016;Qin et al 2017;Demir et al 2018). Furthermore, the green supplier GS3 is the best supplier with a score of 0.324 with respect to the final scores with respect to Table 12.…”

Section: Cr Consistency Ratiosupporting

confidence: 92%

“…As a result, GSS can be assumed a multiple criteria decision making (MCDM) problem. Recently, many researchers have paid attention to this issue (Demir et al 2018;Mathiyazhagan et al 2018;Chatterjee et al 2018;Wu et al 2019). Further, a number of literature review on GSS (Govindan et al 2015;Malviya and Kant 2015;de Oliveira et al 2018;Tseng et al 2019) has remarkably increased in recent years, which points out the importance of this issue.…”

Section: Introductionmentioning

confidence: 99%

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Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer

Ecer

2020

Oper Res Int J

114

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Many managers and firm owners nowadays pay special attention to green supplier selection to gain competitive advantage all over the world. Consequently, this subject a critical and significant decision for firms. This study utilizes an extension to analytical hierarchy process (AHP) under interval type-2 fuzzy environment (IT2FAHP) model to better cope with ambiguity and vagueness for solving supplier selection problem considering green concepts. A real case application is also performed in a home appliance manufacturer to demonstrate the effectiveness and efficiency of the IT2FAHP model in the present paper. The findings indicate that the most important factors that are effective in selecting green suppliers are cleaner production, energy/material saving, green package, remanufacturing, and environmental management system. Further, a comparison and a sensitivity analysis are conducted to display the consistency and stability of the proposed model. The findings reveal that the IT2FAHP model is quite consistent with the models in literature and green product, cleaner production, green design, and green package have a significant positive effect on performances of green suppliers.

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Section: Cr Consistency Ratiosupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer

Ecer

2020

Oper Res Int J

114

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“…DEA was used to identify the best combination of vendor specification on the performance parameter to select twenty-seven industrial robots. This method widely used in supplier selection in many industry such as automotive [72], telecommunication [73] and manufacturing firm [74]. Based on article reviewed by Ho et al [75], almost 18% article was used DEA as a tool for supplier selection.…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Multi-criteria decision-making tools for material selection of natural fibre composites: A review

Muhammad¹,

Sapuan²,

Mastura³

2018

J. MECH. ENG. SCI.

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Materials selection in manufacturing process is an important stage and should be performed in parallel with selection of manufacturing process. In automotive industry, production of green automotive component could utilize the natural sources such as plant fibres. In recent years, several multi-criteria decision-making (MCDM) techniques are suggested to choose the best materials for particular application. Materials selection tools for natural fibre composites are studied from past researchers with the summary of the advantage and disadvantages. In addition, new optimization approach in materials selection by using statistical analysis such as multiple linear regression (MLR), response surface methodology (RSM) and Taguchi method (TM) is proposed in this study. The proposed method could evaluate the criteria or attribute in materials selection precisely by analyse the relationship of the parameters, goodness of fit, correlation, analysis of variance (ANOVA), determination of coefficient and the significant criteria in to the desired goal of the design problem.

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“…Multi-criteria decision making (MCDM) uhas also been used in criteria selection. Only AHP has been used in the criteria selection, such as Lin and Lin (2008), Xu, Kumar, Shankar, Kannan and Chen (2013), Felice, Deldoost and Faizollahi (2015), Patra and Dash (2015), and Mathiyazhagan, Sudhakar and Bhalotia (2018). The AHP steps are shown in a simplified form in Figure 9.…”

Section: Overview Of Criteria Selection Using Mcdmmentioning

confidence: 99%

“…The criteria and sub criteria are then weighted using AHP. Mathiyazhagan et al (2018) defined green criteria based on expert judgment. Questionnaires were given to 15 car manufacturers to get their opinions.…”

Section: Overview Of Criteria Selection Using Mcdmmentioning

confidence: 99%

A literature review of criteria selection in supplier

Ristono

Pratikto

Santoso

et al. 2018

JIEM

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Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases. The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.Social implications: This study provides ongoing guidance and avenues for further research.Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.

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Modeling the criteria for selection of suppliers towards green aspect: a case in Indian automobile industry

Cited by 29 publications

References 45 publications

Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer

Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer

Multi-criteria decision-making tools for material selection of natural fibre composites: A review

A literature review of criteria selection in supplier

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