Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain

Govindan, Kannan; Khodaverdi, Roohollah; Vafadarnikjoo, Amin

doi:10.1016/j.eswa.2015.04.030

Cited by 407 publications

(211 citation statements)

References 129 publications

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“…GSCM includes a wide-range of topics from forward logistics to reverse logistics [2,16,20,39,[42][43][44]. In this regard, Rao and Holt [45] and Govindan et al [46] claimed that GSCM practices embody the entire supply chain processes that begins with the manufacturer and ends with the customer. These GSCM practices includes reverse logistics, green design, green purchasing, carbon management, and integration of product life cycle.…”

Section: Green Supply Chain Managementmentioning

confidence: 99%

“…A variety of papers studies SSCM or GSCM from only forward logistics perspective [3,7,10,31], while some consider SSCM as the combination of reverse and forward logistics flows [2,20,[50][51][52]. Additionally, various papers in the literature acknowledge that closing the loop with reverse logistics is a green practice [19,25,45,46,53,54].…”

Section: Closed-loop Supply Chain Managementmentioning

confidence: 99%

“…When comparing the field of SSCM to GSCM, it is clear that IJPE and JCLP publish the most articles about these fields. Additionally, Figure 9b Holt [45] and Govindan et al [46] claimed that GSCM practices embody the entire supply chain processes that begins with the manufacturer and ends with the customer. These GSCM practices includes reverse logistics, green design, green purchasing, carbon management, and integration of product life cycle.…”

Section: Green Supply Chain Managementmentioning

confidence: 99%

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Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

et al. 2017

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Abstract:Growing environmental awareness coupled with stricter governmental regulations has fueled the need for integrating sustainability into supply chain and logistics activities. Accordingly, recent studies in the literature have emphasized the significance of environmentally concerned logistics operations (ECLO). Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management. In this paper, a comprehensive content analysis and area review is presented. Over 800 papers published between 1994 and 2017 in peer-reviewed journals, proceedings, and book chapters are utilized. These papers are analyzed in consecutive stages after being reviewed under a structural dimension process that addresses the fields of environmentally concerned logistics operations. Following the state-of-the-art review, a detailed analysis of ECLO research with a special emphasis on fuzzy applications is provided. The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the related literature. This paper provides further critical analysis and other research suggestions in order to clarify these gaps and offer additional research perspectives. This information may provide extensive data that will enable future researchers to fill these gaps within this field.

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Section: Green Supply Chain Managementmentioning

confidence: 99%

Section: Closed-loop Supply Chain Managementmentioning

confidence: 99%

Section: Green Supply Chain Managementmentioning

confidence: 99%

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Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

et al. 2017

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“…However in real life, human beings frequently disagree, which is a common way for expressing their ideas. Hence in GDM problems IFS cope with these situations and aggregate experts' opinions for a collective decision [19][20][21] . Additionally, a TOPSIS model under intuitionistic environment is utilized to establish a flexible and robust way for DMs to better understand a decision problem in case of uncertainty and vagueness in DMs' perceptions [20][21] .…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, a TOPSIS model under intuitionistic environment is utilized to establish a flexible and robust way for DMs to better understand a decision problem in case of uncertainty and vagueness in DMs' perceptions [20][21] . Several publications have reported advantages of effective consideration of vague information [19][20][21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

Büyüközkan¹,

Güleryüz²

2016

IJCIS

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The objective of this study is to provide an effective multi criteria decision making (MCDM) approach with group decision making to evaluate different smart phone alternatives according to consumer preferences. The choice of the most appropriate phone is a very complex decision, involving several perspectives. In such complex situations intuitionistic fuzzy sets with TOPSIS (IF-TOPSIS) can be utilized to eliminate uncertainty and to better represent decision makers' preferences. The originality of the paper comes from its ability to handle high uncertainty in a smart phone selection and provide a real case study with IFS for the first time.: -d making.

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Evaluation and Selection of Sustainable Strategy for Green Supply Chain Management Implementation

Malviya

Kant

Gupta³

2018

Bus Strat Env

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The aim of this study is to explore the implementation of green supply chain management (GSCM) strategies and to select the best GSCM strategy using fuzzy analytical network process (ANP) methodology. The ANP helps in analyzing the interdependence and interrelations among the various determinants and dimensions of GSCM strategy selection. Fuzzy set theory is applied to avoid the vagueness and uncertainty in human preference judgement. This study uses an empirical case study of an Indian automobile organization to validate the applicability of the proposed model. The results show that the resource based strategy is in first position, having the maximum impact on each determinant. The case organization should improve the green management system with the assistance of a suitable GSCM strategy, i.e. the resource based strategy. This study may help managers to make decisions, and to analyze and standardize their environmental advantages dynamically. The robustness of the projected model is checked by conducting a sensitivity analysis. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment

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Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain

Cited by 407 publications

References 129 publications

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS

Evaluation and Selection of Sustainable Strategy for Green Supply Chain Management Implementation

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