Kuldip Singh Sangwan

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s – Today companies are facing important challenges such as the need to reduce the time-to-market, the development cost and manufacturing cost, or the management of products with more and more technology. As a result, this current situation is encouraging the implementation of world class manufacturing and new management techniques such as knowledge(More)
The objective of this work is to highlight the modeling capabilities of artificial intelligence techniques for predicting the power requirements in machining process. The present scenario demands such types of models so that the acceptability of power prediction models can be raised and can be applied in sustainable process planning. This paper presents two(More)
Sustainability manufacturing practices like lean and green manufacturing seek to optimize production efficiency while minimizing environmental impact and maintaining social equity. It is also well knowing fact that company that adopt sustainable practices are able to achieve better quality, improved productivity and profitable growth. Among these lean is an(More)
The increasing consumption patterns in emerging economies like India and China with half the world population has increased the environmental concerns. E-waste in these countries is rapidly increasing and monitor is one of the major contributors to it. The paper aims at assessing the life cycle environmental impact of Cathode Ray Tube (CRT), Liquid Crystal(More)
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