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Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis

Vivek Gupta, Arvind Jayant


Abstract The aim of present study is to introduce new logical method to select critical low carbon supply chain practices (LCSCP) having integrated and performance analysis under different environments. The manufacturing companies in India are having lots of loads to reduce environmental pollution. Suitable application of LCSCP ensures proper utilization and also motivates companies to take global pollution-based problems. Therefore, there are few techniques available for the analysis of LCSCP having the integration and performance parameter under industrial outcomes. In present research, we try to apply fuzzy set tool to check fuzzibility of all available perceptions because the LCSCP parameters are taken in industry preferences. Then, fuzzy integrating tools are applied to identify LCSCP integrating and performance levels. However, FIPA (fuzzy integrated and performance analysis) matrix curve has been plotted to determine the analytical LCSCP methods for environmental performance parameters. Further, this study may become a guide of the methodology, which is to be employed, to other multiple criteria decision making techniques. The purpose of LCSCP techniques using fuzzy multi objective tools is to develop a relationship between different variables and parameters. The actual outcome of that study provides useful techniques for manufacturers to be more globally attentive, by changing their social and global points. It contains deep measurement of outcomes, result and theoretical background.

Keywords: FIPA (fuzzy integrated and performance analysis), LCSCP (low carbon supply chain processing

Cite this Article Vivek Gupta, Arvind Jayant. Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis. Journal of Energy, Environment and Carbon Credits. 2019; 9(1): 29–39p.

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