Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and fuzzy TOPSIS approach

Chen, Dehu; Faibil, Daniel; Agyemang, Martin

doi:10.1007/s11356-020-10360-8

Cited by 62 publications

(30 citation statements)

References 120 publications

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“…Rezaei ( 2015 ) developed the BWM as a powerful MCDM technique to solve complex decision-making problems. After, the BWM is widely employed to determine the criteria weights (Chen et al 2020 ). BWM needs less pairwise comparison than similar pairwise comparison–based techniques, such as AHP and ANP (Ecer 2021 ).…”

Section: Proposed Methodologymentioning

confidence: 99%

“…The method becomes prominent with computation time and robustness of algorithm. BWM provides more accurate and reliable results than AHP (Chen et al 2020 ). BWM is utilized by many researchers to handle different problems.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Ecer ( 2021 ) utilize BWM to make sustainability assessment of onshore wind plants. Chen et al ( 2020 ) use BWM-integrated TOPSIS to analyze critical barriers for e-waste management systems. Tavana et al ( 2021 ) propose hierarchical fuzzy BWM to determine weights of criteria to solve a sustainable supplier selection problem.…”

Section: Proposed Methodologymentioning

confidence: 99%

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Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era

Ayyıldız

2021

Environ Sci Pollut Res

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Supply chain organizations should calmly and cautiously take the most accurate and sustainable decisions quickly and put them into practice. It is obvious that traditional time series–based demand and supply planning approaches are insufficient to meet current business needs due to factors such as sharp changes in market and commercial dynamics, pandemics, and natural disasters on the management of green supply chains, especially these days. In the near future, there will be a need for more resilient supply chains with a flexible business models that are not affected by sudden changes and that can make sustainable decisions dynamically. Additionally, all stakeholders must act with a green supply chain approach to conduct production and service activities in a way that causes the least damage to nature. Companies must build more resilient supply chains by considering environmental sensitivities to compete in the market and ensure their continuity. In this context, the green supply chains should be evaluated according to their resilience. For this purpose, Supply Chain Operations Reference (SCOR) model is extended with novel performance attributes to evaluate resilience of green supply chains in this study. The SCOR-embedded novel green supply chain resilience evaluation model is structured as a three-level performance attribute hierarchical structure. Then, the model is handled as a multi-criteria decision-making problem to determine importance of the performance attributes. Best Worst Method integrated Interval Valued Intuitionistic Fuzzy Analytic Hierarchy Process is used to determine the importance of performance attributes. Most important performance attributes are determined in each level of hierarchy. According to results, organizational factors play a key role to build more resilient supply chains. Especially, integrated systems are required for supply chain resilience.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Proposed Methodologymentioning

confidence: 99%

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Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era

Ayyıldız

2021

Environ Sci Pollut Res

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“…Khandelwal et al [19] provided a decision model with fuzzy AHP for ranking diverse barriers that impede the adoption of the circular economy within supply chains by considering an example of an Indian plastic firm. Chen et al [20] presented the BWM method with TOPSIS by considering fuzzy rating values to evaluate critical barriers affecting the e-waste management process in Ghana.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations

et al. 2022

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Sustainability is becoming the core theme of every organization to protect the planet from the drastic effects of climate change. Many organizations have drastically changed their practices to encourage green habits for sustainable operations. Practitioners have discussed the difficulties in the literature owing to the adoption of sustainable aspects of environmental, economic and social paradigms in the organization. One can identify diverse barriers, and ranking them would help policy-makers plan their actions. Motivated by this claim, a new integrated approach with nonlinear fuzzy data is put forward in this paper. The nonlinear mapping of fuzzy data provides a better representation of uncertainty, which inspired the authors to use nonlinear data. Further, the attitudinal variance method is proposed for a weight assessment of the criteria that can handle hesitation effectively and consider each agent’s reliability. The Boran principle in the nonlinear context is used to calculate the reliability values. Complex proportional assessment (COPRAS), a popular ranking algorithm, is extended to nonlinear data for rationally ranking barriers that affect sustainable operations. An illustrative example exemplifies the usability of the approach, and a comparison/sensitivity analysis reveals the pros and cons of the framework.

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“…In recent research, to overcome some defects of this method, the AHP has been combined with fuzzy logic theory [ 20 , 21 ], which models basic information and approximations [ 20 – 22 ]. In addition, in view of the excessive number of pairwise comparisons, many experts have also made modifications on the basis of the AHP [ 23 , 24 ] and formulated the BWM, FUCOM [ 25 ] and other methods, especially the BWM, which has been applied often in recent years [ 26 , 27 ]. However, in some cases, the AHP is still used in its original form [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Establishment of a no-notice drill mode evaluation system for public health emergencies

Huang

Lin

et al. 2022

PLoS ONE

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Objective At present, there are some no-notice drill mode evaluation systems for public health emergencies in Chinese hospitals, which are the subjects of assessment in this study. However, there is a lack of CDC. This study builds a set of no-notice drill mode evaluation systems for public health emergencies that involve the CDC. Methods The indexes for these systems were based on the performance of two no-notice drills for public health emergencies in Guangdong Province. Twenty experts were invited to screen the indicators during two rounds of the Delphi method to determine the weight of first- and second-level indexes through the analytic hierarchy process, and the weight of the third-level index was calculated using the percentage method. Results After two rounds of expert consultation, we obtained four first-level indicators, twenty-six second-level indicators and eighty-six third-level indicators. According to the weight calculated by analytic hierarchy process, the weights of the first-level indicators are emergency preparation (0.2775), verification and consultation regarding an epidemic situation (0.165), field investigation and control (0.3925) and summary report (0.165). Sensitivity analysis shows that the stability of the index is good. Conclusion The no-notice drill mode evaluation system for public health emergencies constructed in this study can be applied to public health departments such as the CDC. Through promotion, it can provide a scientific basis for epidemiological investigation assessment.

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Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and fuzzy TOPSIS approach

Cited by 62 publications

References 120 publications

Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era

Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era

An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations

Establishment of a no-notice drill mode evaluation system for public health emergencies

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