Titlebook: Recent Advances in Intelligent Manufacturing; Select Proceedings o Harish Kumar,Prashant K. Jain,Saurav Goel Conference proceedings 2023 Th

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A Quantification of Supply Chain Management Factors Using Artificial Intelligence,

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Integrated MCDM Model for Prioritization of New Electric Vehicle Selection,ernatives. The best alternative identified from this research is a simple one electric scooter. This integrated model can be incorporated into any automotive industry for vehicle selection, and the results are beneficial for all new customers. The sensitivity analysis is also been performed for checking the robustness and stability of this model.

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Investigations on Performance of Crater Film Cooling with Different Film Hole Configurations at Comthe semicircular 2 model film hole configuration at 180° orientation angle has produced higher cooling performance for the cratered cooling surface. It has also delivered an impressive lateral spreading with higher local and spanside averaged cooling effectiveness on the cratered test surface model.

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Design an Electric Vehicle with Advanced Power Transmission,ectric automobiles is described in the article. Electric car charging methods can be classified as fixed or dynamic, sluggish or rapid, conductive or wireless. In this essay, an idea for charging an electric car while it is moving—without having to stop—is presented.

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Exploring the Constructs and Measures of Innovation Management in Indian,is an imperative need for innovation management. The global marketplace is like a war zone; if the firm does not manage the innovation, the firm will eventually die. Therefore, this study endeavors to explore the constructs and measures of innovation management in Indian MSMEs. The constructs and th

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Integrated MCDM Model for Prioritization of New Electric Vehicle Selection,his study are Ola S1 STD, Ola S1 pro, Ather 450x, Simple one, TVS iQube electric, and Hero electric photon HX. The criteria taken in this study are on-road price (Delhi), driving range, battery capacity, maximum speed, motor power, and battery charging time. The specification parameter of the variou

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LSTM Based Predictive Maintenance Approach for Zero Breakdown in Foundry Line Through Industry 4.0,anned catastrophic equipment failure may decrease the productivity, makes huge damage to the equipment, raises the repair cost with time, and affects delivery schedule. If these breakdowns are predicted in advance, the breakdown can be addressed before its occurrence and the demand supply chain can

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