A PDCA based approach to evaluate green supply chain management performance under fuzzy environment

Ghosh, Sudipta; Mandal, Madhab Chandra; Ray, Amitava

doi:10.1080/17509653.2022.2027292

Cited by 24 publications

(18 citation statements)

References 72 publications

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“…Owing to the presence of vagueness and ambiguity, GSS has become much complicated task for decision makers. Previous authors attempted to handle this uncertainty by amalgamating fuzzy set theory [70] with the existing MCDM methods [43], such as fuzzy-DEMATEL [71], fuzzy-best worst method (BWM) [14], fuzzy-AHP [54], fuzzy-TOPSIS [42], fuzzy-ANP [41], fuzzy-AHP-TOPSIS [12], fuzzy-ELECTRE-VIKOR [72], fuzzy-TODIM [73], and so on. Although fuzzy extensions of classical MCDM methods are considered as effective solutions for eliminating imprecision and subjectivity due to human interference in decision-making process, it has some drawbacks like its computational complexity and huge mathematical relationships.…”

Section: Fuzzy Methodsmentioning

confidence: 99%

“…An organization's GSCM performance depends on not only its internal green initiatives but also its suppliers' green practices [11]. As organizations tend to outsource a variety of jobs, GSS, as an integral part of GSCM, has a critical role in guiding organizations to maintain their strategic stance in market [12]. It has been proven that GSS can noticeably reduce the environmental burdens of organizations in terms of waste generation and carbon dioxide emissions [13].…”

Section: Introductionmentioning

confidence: 99%

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Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Ghosh

Bhowmik

Sinha

et al. 2023

Preprint

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This research proposes a comprehensive framework to evaluate green suppliers. A real-world green supplier selection (GSS) problem is considered in which three India-based automobile manufacturing organizations, namely Supplier 1, Supplier 2, and Supplier 3 are selected for the evaluation. Initially, fourteen important criteria are extracted from literature and experts’ suggestion, which encompasses both the environmental, economic, and operational aspects of sustainability. Firstly, data is collected through the development of a questionnaire, formation of an expert committee, and carrying out interviews with the experts. Secondly, an integrated multi-criteria decision-making (MCDM)-multivariate approach is proposed in which the item analysis is used to examine the internal consistency of data, the principal component analysis (PCA) is used to calculate the weights of the parameters. Finally; the simple additive weighting (SAW) method is used to determine the performance scores of the case organizations for ranking and benchmarking purpose. The result reveals that Supplier 3 is the benchmark supplier as it gains the highest performance score. The result also recommends that collaboration with suppliers for green purchasing is the most influential parameter for GSS. This research may assist policymakers to strategically select the optimum green supplier for sustainability.

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Section: Fuzzy Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Ghosh

Bhowmik

Sinha

et al. 2023

Preprint

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“…CE performance assessment is an MCDM‐type problem, as it evaluates multiple criteria and alternatives and simultaneously reaches the most optimal decision. Although several MCDM tools are available, such as simple additive weighting or SAW (Ghosh, Bhowmik, et al, 2021), AHP (Ghosh et al, 2022a), TOPSIS (Ghosh et al, 2021a), COPRAS (Ghosh et al, 2022d), and GRA (Ghosh et al, 2022b), this research applies an integrated CRITIC‐VIKOR approach that has not been previously used in this area. It adopts a three‐phase methodology, namely, Phase 1: preparation phase, Phase 2: weight determination phase, and Phase 3: evaluation phase.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, a total of 20 criteria were considered for the next round. In the third round, experts were asked to assess the importance of each criterion in the evaluation of CE performance based on a five-point Likert-type scale (Ghosh et al, 2022a), in which 1 implies "not important," 5 implies "extremely important," and the remaining imply intermediate qualities. Then, the responses received from the experts were synthesized in MINITAB software.…”

Section: Finalization Of Evaluation Criteria Through a Delphi Studymentioning

confidence: 99%

Attaining Sustainable Development Goals through embedding circular economy principles: Evidence from food processing small‐ and medium‐sized enterprises in India

Ghosh,

Raut,

Cheikhrouhou

et al. 2023

Bus Strat Env

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Various industries are gradually sifting away from the linear economy and toward the circular economy (CE), but its advancement is crawling far behind the environmental contamination by the food processing industry in developing countries. Hardly any research analyzes the CE performance of food processing small‐ and medium‐sized enterprises (FPSMEs) in an emerging economy context. Hence, developing a CE performance evaluation framework is imperative to facilitate this transition. This research proposes a comprehensive framework for evaluating CE performance based on three real‐world cases of Indian FPSMEs. Initially, 15 essential criteria are shortlisted from the literature and refined by the experts. Afterward, data are collected through questionnaires administered to experts and structured interviews. Next, this research employs a multi‐criteria decision‐making (MCDM)–based approach, in which the Criteria Importance Through Inter‐criteria Correlation (CRITIC) method is used to compute the objective weights of criteria and the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method is used to determine the performances of FPSMEs and rank them accordingly. The results reveal that “investment in Corporate Social Responsibility (CSR),” “use of renewable energy,” “increase in scrap recycling rate,” “total emission,” and “total water consumption” are the top five criteria for CE performance. Investment in CSR emerges as the most influential criterion for strategic corporate transformation, which blends the notions of CE and CSR as a feasible solution for designing circular business processes.

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“…Corresponding suggestions are proposed in response to these identified problems. A new group decision-making model based on the plan-do-check-act (PDCA) to evaluate the green supply chain management performance of manufacturing organizations, and uses an integrated fuzzy multicriteria decision-making approach (MCDM) in which the fuzzy analytical hierarchy process method (FAHP) determines the weights of the criteria and the fuzzy technique for order preference by similarity with the ideal solution method (FTOPSIS) classifies organizations (Ghosh et al, 2022). Finding a selection of green suppliers (ESG) in the best way will help agricultural producers to apply green agricultural production using uncertainty in decisionmaking.…”

Section: Literature Reviewmentioning

confidence: 99%

q-Rung orthopair fuzzy hypersoft ordered aggregation operators and their application towards green supplier

Khan

Gulistan

Kausar

et al. 2023

Front. Environ. Sci.

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Green Supply Chain Management (GSCM) is essential to ensure environmental compliance and commercial growth in the current climate. Businesses constantly look for fresh concepts and techniques for ensuring environmental sustainability. To keep up with the new trends in environmental concerns related to company management and procedures, Green Supplier Selection (GSS) criteria are added to the traditional supplier selection processes. This study aims to identify general and environmental supplier selection criteria to provide a framework that can assist decision-makers in choosing and prioritizing appropriate green supplier selection. The development and implementation of decision support systems aimed to solve these difficulties at a rapid rate. In order to manage inaccurate data and simulate decision-making problems. Fuzzy sets introduced by Zadeh, are a useful technique to handle the imperfectness and uncertainty in different problems. Although fuzzy sets can handle incomplete information in different real worlds problems, but its cannot handle all type of uncertainty such as incomplete and indeterminate data. Therefore different extensions of fuzzy sets such as intuitionistic fuzzy, pythagorean fuzzy and q-rung orthopair fuzzy sets introduced to address the problems of uncertainty by considering the membership and non-membership grade. However, these concepts have some shortcomings in the handling uncertainty with sub-attributes. To overcome this difficulties Khan et al. developed the structure of q-rung orthopair fuzzy hypersoft sets by combining q-rung orthopair fuzzy sets with hypersoft sets. A remarkable and beneficial research work is done in the field of q-rung orthopair fuzzy hypersoft sets, and then we think about the application. In this paper, we use the structure of q-rung orthopair fuzzy hypersoft in multi-criteria supplier selection problems. For this, we present aggregation operator to solve multi-criteria decision-making (MCDM) problems with q-rung orthopair fuzzy hypersoft (q-ROFH) information, known as ordered weighted geometric aggregation operator. Since the uncertainty and vagueness is an unavoidable feature of multi-criteria decision-making problems, the proposed structure can be a useful tool for decision making in an uncertain environment. Further, the expert opinions were investigated using the multi-criteria decision-making (MCDM) technique, which helped identify interrelationship and causal preference of green supplier evaluation aspects that used aggregation operators. Finally, a numerical example of the proposed method for the task of Green Supplier Selection is presented.

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A PDCA based approach to evaluate green supply chain management performance under fuzzy environment

Cited by 24 publications

References 72 publications

Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Attaining Sustainable Development Goals through embedding circular economy principles: Evidence from food processing small‐ and medium‐sized enterprises in India

q-Rung orthopair fuzzy hypersoft ordered aggregation operators and their application towards green supplier

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