Composite material consists of two or more components at the microscopic level, which improves its properties. In recent year, it is widely used in Thermo mechanical loading where the structural performances of these capacities are required to perform at elevated temperature. The consideration of such loading with high temperature is known as thermo mechanical loading, and this type of loading in which thermal and mechanical loading are applied together. In this paper the buckling analysis of composite rectangular plate with combined in-plane mechanical & thermal loading has been carried out. The analysis is performed using the ANSYS APDL software package, in which SHELL element is used. The effects of temperature on the plate have been investigated. It was found from the analysis that the natural frequencies of a variable thickness rectangular plate decrease with the increase of the temperature. Effect of ply angle for different condition is also analyzed and represented with 2D graphs for the effective comparison of various conditions. The load carrying capacity increases with increasing number of ply, at the maximum carrying capacity of load i.e. forty five degree orientation of the plate and shell. If the number of elemental length increases load carrying capacity also increases. Buckling analysis is widely useful in the aerospace industry, in the shipbuilding industry, manufacturing industry therefore the ANSYS FEA software is a good tool for the calculation of critical buckling load. @& nbsp;2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Materials, Processing & Characterization.

The paper aims to identify key performance variables of green supply chain management (GSCM) practices to achieve sustainable development goals. It develops a comprehensive structural relationship between various performance variables for GSCM for sustainability in Indian automobile industries. With the help of expert opinions from industry professionals and extant literature review, fifteen key performance variables have been identified and stated as these variables attempt to achieve the sustainability goals in GSCM practices. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method is employed to develop the model and then rank them. The results of this study show that supplier willingness towards GSCM, Adoption of technology advancement adoption, and top management commitment have emerged as top three key variables while organizational motivating, encouragement of sustainable product, and government support systems are identified as the bottom three parameters. It also helps to achieve the priority basis to create a greener platform in the automobile industry. The study helps the managers, practitioners, and policymakers in making strategic and tactical decisions for better sustainability in the Indian Automobile industries in the context of GSCM practices. The critical inputs show the GSCM in the firms being more proactive and well prepared. The novelty of this research lies in the requirement of GSCM as most automobile companies set up their plants for awareness of economic, social and environmental development. The performance variable identified to improve organizational performance to contribute to sustainable development improvements in the practices and policies

The article aims to identify key performance variables of green supply chain management (GSCM) practices to achieve sustainable development goals. It develops a comprehensive structural relationship between various performance variables for GSCM for sustainability in Indian automobile industries. With the help of expert opinions from industry professionals and extant literature review,15key performance variables have been identified and stated as these variables attempt to achieve the sustainability goals in GSCM practices. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method is employed to develop the model and then rank them. The results of this study show that supplier willingness towards GSCM, Adoption of technology advancement adoption, and top management commitment have emerged as top three key variables, while organizational motivating, encouragement of sustainable product, and government support systems are identified as the bottom three parameters. It also helps to achieve the priority basis to create a greener platform in the automobile industry. The study helps the managers, practitioners, and policymakers in making strategic and tactical decisions for better sustainability in the Indian Automobile industries in the context of GSCM practices. The critical inputs show the GSCM in the firms being more proactive and well prepared. The novelty of this research lies in the requirement of GSCM as most automobile companies set up their plants for awareness of economic, social, and environmental development. The performance variable identified to improve organizational performance to contribute to sustainable development improvements in the practices and policies.