Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

Sahoo, Sushil Kumar; Choudhury, B. B.

doi:10.5267/j.dsl.2021.10.002

Cited by 25 publications

(30 citation statements)

References 29 publications

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“…Lam et al [29] utilized the Entropy and F-VIKOR integration to evaluate the financial performance of construction companies. Sahoo and Chodhury [30] evaluated the electric wheelchair options available in the market by applying the Entropy, COPRAS and EDAS methods. Chaurasiya and Jain [31] combined Pythagorean fuzzy set with Entropy and COPRAS methods to determine the most appropriate method for the disposal of wastes resulting from health services.…”

Section: Literature Review On Entropy Methodsmentioning

confidence: 99%

Determining the Riskiest Production Area Using Integrated Criteria Weights

2022

J Mod Ind Manuf

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Objective: This study aims to prioritize seven production areas in an automotive glass manufacturing firm considering their risk levels by using integrated multi-criteria decision-making approach. Methods:The proposed approach includes two phases as determining risk criteria weights and ranking production areas according to their risk levels. In determining risk criteria weights, Criteria Importance through Inter-criteria Correlation (CRITIC), Entropy and Preference Selection Index (PSI) methods are used. Then, the different criteria weights obtained from these three approaches are aggregated with geometric mean operator. In ranking production areas, Multi-objective Optimization on the Basis of Simple Ratio Analysis is utilized and the production area which has the lowest risk level is determined considering the aggregated criteria weights obtained in the first phase. Results:The least risky and the riskiest areas were obtained as autoclave and tunnel kiln areas respectively for four different weighting approaches. CRITIC, PSI and Aggregated Weighting methods gave the same rankings of production areas. There are small differences between the rankings of Entropy and Aggregated Weighting Method for the third and sixth production areas. Conclusion:The data used in the analysis is obtained by real measurements. For this reason, the results obtained from the study are more accurate compared to the subjective weighting methods. The proposed approach provides authorities to see the results of the different approaches and aggregated rankings. Thus, authorities can decide for which production area measures should be taken first in a more flexible way.

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Section: Literature Review On Entropy Methodsmentioning

confidence: 99%

Determining the Riskiest Production Area Using Integrated Criteria Weights

2022

J Mod Ind Manuf

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“…• Centre for Science and Environment (CSE): The CSE is a non-profit organization that works on environmental issues, including water pollution. They have published reports on various aspects of water pollution in India, such as industrial pollution, sewage treatment, and river pollution (Sahoo & Choudhury, 2022;Vijay et al, 2011).…”

Section: • United Nations Development Programme (Undp)mentioning

confidence: 99%

“…Encourage public participation: Encouraging public participation in decision-making processes related to water management can help ensure that local perspectives are taken into account and can build support for efforts to reduce water pollution. This can involve public hearings, public comment periods, and other forms of public engagement (Sahoo and Choudhury, 2022). xi.…”

Section: Reduce Industrial Pollutionmentioning

confidence: 99%

Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India

Sahoo¹,

Goswami²

2024

10.5267/j.jfs

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This research paper aims to explore the relationship between water pollution and sustainable development. Water pollution is a significant environmental challenge that threatens the sustainability of ecosystems, human health, and economic development. Sustainable development aims to meet the needs of the present generation without compromising the ability of future generations to meet their own needs. The research methodology involves a comprehensive review of relevant literature on water pollution and sustainable development, including empirical studies, theoretical frameworks, and policy documents. The research will explore the impact of water pollution on sustainable development, the drivers of water pollution, and the policy and regulatory frameworks that promote sustainable water management. The findings of this research paper will contribute to a deeper understanding of the complex relationship between water pollution and sustainable development and provide insights into effective strategies and policies that can promote sustainable water management. The research will also highlight the importance of public awareness and education in promoting sustainable practices and behaviors that can help to prevent and mitigate water pollution. This research paper will provide valuable insights into achieving sustainable water management practices that promote environmental sustainability and socio-economic development.

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“…• Big data analytics: CC enables businesses to analyze areas for improvement in terms of sustainability and resource usage. Big data analytics can identify energy-saving opportunities in buildings or to optimize supply chain efficiency to reduce waste (Sahoo & Choudhury, 2022).…”

Section: Sustainable Development Of Cloud Computingmentioning

confidence: 99%

Cloud computing for sustainable development: An analysis of environmental, economic and social benefits

Yenugula¹,

Sahoo²,

Goswami³

2024

10.5267/j.jfs

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This research paper examines the role of cloud computing in promoting sustainable development. Cloud Computing (CC) has emerged as a transformative technology that has the potential to reduce the environmental impact of businesses and organizations, while also enabling economic growth and social development. The paper explores the environmental benefits of cloud computing, including energy efficiency, reduced carbon emissions, and the potential for renewable energy integration. It also examines the economic and social benefits of cloud computing, including cost savings, increased productivity, and improved access to technology. The paper concludes by highlighting the potential challenges and opportunities associated with the adoption of cloud computing for sustainable development and identifies key areas for future research and policy action. Overall, the paper argues that cloud computing has the potential to play a critical role in promoting sustainable development, and that further research and policy action are needed to realize its full potential.

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Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

Cited by 25 publications

References 29 publications

Determining the Riskiest Production Area Using Integrated Criteria Weights

Determining the Riskiest Production Area Using Integrated Criteria Weights

Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India

Cloud computing for sustainable development: An analysis of environmental, economic and social benefits

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