Surface Roughness Analysis and Green Performance of Suppliers through Hybrid Multi criteria Decision-Making: A Review
Rahul Tiwari
, Naveen Ghanghas
Environmental Efficiency, Environmental Impact, Green Packaging, Green Processing
In recent years, environmental changes have pushed producers to boost their environmental efficiency. To improve their environmental efficiency and that their harmful environmental impact, several businesses have built interconnected partnerships with their suppliers. Then it was a crucial competitive consideration to choose appropriate and renewable vendors in the supply chain. To order to assess how suppliers will work with the company, a performance assessment program for green suppliers is required. This research also offers a basis for assessing the green performance of suppliers. In order to assess the green performance of suppliers, a hybrid multi criteria decision-making basis is being created. In order to manage the relation and dependency of selection criteria and sub criteria and define weight of the criteria, the network analytical methodology is used. To order to list the vendors for an optimal approach for the question of green efficiency evaluation, the method used for order choice through comparison to the perfect solution. After a comprehensive literature review, green performance assessment standards for suppliers are established. Green Processing saves resources and energy. Green packaging allows us to manufacture more goods without reducing processing in the same climate.
"Surface Roughness Analysis and Green Performance of Suppliers through Hybrid Multi criteria Decision-Making: A Review ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 4, page no.446 - 450, April-2020, Available :https://ijsdr.org/papers/IJSDR2004081.pdf
Volume 5
Issue 4,
April-2020
Pages : 446 - 450
Paper Reg. ID: IJSDR_192358
Published Paper Id: IJSDR2004081
Downloads: 000347208
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave