A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prioritization of the approaches for overcoming smart sustainable manufacturing barriers using stochastic fuzzy EDAS method
https://orcid.org/http://orcid.org/0000-0003-4666-426X
In manufacturing organizations, digitization and sustainability significantly impact how digital and green features are integrated into physical products and services. This study looks at how these two ideas come together in traditional manufacturing. Making things smart and eco-friendly is important for growing factories and has begun to evolve. However, due to the most significant barriers, it is challenging for manufacturing industries to embrace smart, sustainable solutions. In the past, researchers looked at what's stopping factories from being sustainable and using new technology. A comprehensive literature review identified 33 barriers and 31 solutions under eight smart, sustainable manufacturing (SSM) categories. The fuzzy AHP approach prioritized these barriers, with technology barriers ranking highest. Stochastic fuzzy EDAS assessed and ranked SSM solutions, highlighting the most effective collaborative efforts in environmental awareness (S10) and training on smart and sustainable processes (S2). This study also addresses economic, social, and environmental stakeholder issues. A sensitivity analysis is also performed to examine the validity of the current study’s results. The results of this research may assist decision-makers and professionals in defining the main barriers and implementing solutions for the effective adoption of smart sustainability practices throughout the industrial sector. This paper is just the beginning, and there's more to learn.
Prioritization of the approaches for overcoming smart sustainable manufacturing barriers using stochastic fuzzy EDAS method
https://orcid.org/http://orcid.org/0000-0003-4666-426X
In manufacturing organizations, digitization and sustainability significantly impact how digital and green features are integrated into physical products and services. This study looks at how these two ideas come together in traditional manufacturing. Making things smart and eco-friendly is important for growing factories and has begun to evolve. However, due to the most significant barriers, it is challenging for manufacturing industries to embrace smart, sustainable solutions. In the past, researchers looked at what's stopping factories from being sustainable and using new technology. A comprehensive literature review identified 33 barriers and 31 solutions under eight smart, sustainable manufacturing (SSM) categories. The fuzzy AHP approach prioritized these barriers, with technology barriers ranking highest. Stochastic fuzzy EDAS assessed and ranked SSM solutions, highlighting the most effective collaborative efforts in environmental awareness (S10) and training on smart and sustainable processes (S2). This study also addresses economic, social, and environmental stakeholder issues. A sensitivity analysis is also performed to examine the validity of the current study’s results. The results of this research may assist decision-makers and professionals in defining the main barriers and implementing solutions for the effective adoption of smart sustainability practices throughout the industrial sector. This paper is just the beginning, and there's more to learn.
Prioritization of the approaches for overcoming smart sustainable manufacturing barriers using stochastic fuzzy EDAS method
https://orcid.org/http://orcid.org/0000-0003-4666-426X
In manufacturing organizations, digitization and sustainability significantly impact how digital and green features are integrated into physical products and services. This study looks at how these two ideas come together in traditional manufacturing. Making things smart and eco-friendly is important for growing factories and has begun to evolve. However, due to the most significant barriers, it is challenging for manufacturing industries to embrace smart, sustainable solutions. In the past, researchers looked at what's stopping factories from being sustainable and using new technology. A comprehensive literature review identified 33 barriers and 31 solutions under eight smart, sustainable manufacturing (SSM) categories. The fuzzy AHP approach prioritized these barriers, with technology barriers ranking highest. Stochastic fuzzy EDAS assessed and ranked SSM solutions, highlighting the most effective collaborative efforts in environmental awareness (S10) and training on smart and sustainable processes (S2). This study also addresses economic, social, and environmental stakeholder issues. A sensitivity analysis is also performed to examine the validity of the current study’s results. The results of this research may assist decision-makers and professionals in defining the main barriers and implementing solutions for the effective adoption of smart sustainability practices throughout the industrial sector. This paper is just the beginning, and there's more to learn.
Prioritization of the approaches for overcoming smart sustainable manufacturing barriers using stochastic fuzzy EDAS method
Int J Interact Des Manuf
Batwara, Amber (author) / Sharma, Vikram (author) / Makkar, Mohit (author)
2025-03-01
23 pages
Article (Journal)
Electronic Resource
English
Selection of HVAC-AHU system supplier with environmental considerations using Fuzzy EDAS method
| Taylor & Francis Verlag | 2022
Integrated Renovation Process: Overcoming Barriers to Sustainable Renovation
| British Library Online Contents | 2016