Sustainable hybrid electric vehicle selection in the context of a developing country

Khan, Feroz Hassan; Ali, Yousaf; Khan, Amin Ullah

doi:10.1007/s11869-020-00812-y

Cited by 56 publications

(21 citation statements)

References 50 publications

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“…The selection of the most sustainable waste management technique in Nigeria uses the EDAS approach (Muhammad et al 2021 ). The application of fuzzy TOPSIS has been seen in the selection of the most sustainable hybrid electric vehicle in the context of a developing country (Khan, Ali, and Khan, Sustainable hybrid electric vehicle selection in the context of a developing country 2020 ). A similar technique has been further applied in evaluating barriers in the adoption of CE for food waste management in the context of a developing country (Ali, Jokhio, Dojki, Rehman, Khan, and Salman 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

Khan

Ali

2021

Environ Sci Pollut Res

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Section: Literature Reviewmentioning

confidence: 99%

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

Khan

Ali

2021

Environ Sci Pollut Res

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“…A well-known technique for MCDM is "technique for order performance to ideal solution" (TOPSIS) that was first proposed by Hwang and Yoon (Hwang and Yoon, 1981). The simple TOPSIS technique deals with the principle of selecting an alternative from a positive and negative ideal solution (Yavuz, 2016;Khan et al, 2020). TOPSIS has been used in a fuzzy environment using triangular fuzzy numbers (Chen, 2000).…”

Section: The Type Of Involvement Of Negotiation Between Different Parties Is Straightforwardmentioning

confidence: 99%

Identification of critical factors for the implementation of reverse logistics in the manufacturing industry of Pakistan

Ali

Zeb

Babar

et al. 2021

JDAL

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Purpose The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL processes. Design/methodology/approach This study targets supply chain management experts for their opinions regarding the identification of critical barriers and alternatives for RL implementation. Their opinions were extracted through a Web questionnaire based on 14 criteria with 5 alternatives. The tools of multi-criteria decision-making are used for analysis, i.e. fuzzy VIKOR and fuzzy TOPSIS. Findings The results indicate that lack of recognition of competitive advantage to be gained through RL practice is the most critical barrier to RL implementation. The least barrier or major facilitator for RL is “supportive initiative for end-of-life products.” The top-ranked alternative in this study is reuse followed by remanufacturing. The least important alternative is “repair” in the case of Pakistan. These alternatives are ranked based on “q values” derived through fuzzy VIKOR. Research limitations/implications The results of this study can only be generalized for the manufacturing sector of Pakistan during the period of the study. Practical implications The findings of this study will assist managers in deploying the best practices concerning RL. Originality/value Fuzzy VIKOR and fuzzy TOPSIS have not been applied to RL alternatives in previous research.

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“…The study holds the application of a MCDM technique, i.e. Fuzzy TOPSIS for decision-making application [14]. Similarly, some of latest research studies that incorporate MCDM techniques include: formulation of maintenance framework for the Urea industry [15], using the Fuzzy Lambda-Tau (FLT) for the computation of RAM parameters along with the comparative performance analysis using Fuzzy TOPSIS, Fuzzy EDAS and Fuzzy VIKOR [16], to mention just a few.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

et al. 2020

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Increasing competition in the automobile industry has led to a vast variety of choices when buying a car thus making car selection a tedious task. The objective of this research is to develop a new hybrid multi-criteria decision-making technique, with accuracy greater than that of the already existing methods, in order to help the people in decision-making while buying a car. Hence, considering a broader spectrum, this study aims at easing the process of multi-criteria decision-making problems in different fields. To achieve the objective, seven different alternatives were evaluated with respect to the enlisted evaluation criteria, which were selected after analyzing the secondary data obtained from Pak wheels based on style, fuel economy, price, comfort and performance. These criteria were then analyzed using the proposed Full Consistency Fuzzy TOPSIS method. As the name tells, this method is a unique combination of two techniques. The Full Consistency method is used to calculate the weights of the criteria while the Fuzzy TOPSIS approach is applied to rank the alternatives according to their scores in the selected criteria. The outcomes demonstrate an increase in the consistency ratio of the weight coefficients due to which the ranking of the alternatives by the FCF-TOPSIS is more accurate than the TOPSIS and the Analytical Hierarchy Process. The novelty of the method lies in the fact that this combination has not been used for an alternative selection scenario before. In addition to this, it can be used in various industries where a choice between the available alternatives arises based on a set of evaluation criteria.

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Sustainable hybrid electric vehicle selection in the context of a developing country

Cited by 56 publications

References 50 publications

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

Identification of critical factors for the implementation of reverse logistics in the manufacturing industry of Pakistan

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

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