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There have been studies on supplier selection in the past. But organisations today are also interested in evaluating their suppliers on green and sustainability criteria. With increasing awareness of green and sustainable processes and products, there is pressure on the organisations to select only green suppliers for their operations. While this is a step towards more responsible organisations, managing the suppliers of an organisation becomes an important task. This clearly warrants a structured approach for evaluation of suppliers on green and sustainability criteria. This paper models the relationship between these criteria and the supplier selection. A neural networks model is used for analysis of the data obtained from samples in the Indian automotive industry. MATLAB is used for analysis of the neural networks model. This model captures any nonlinear relationship between the inputs and performs better compared to many other techniques. The output of the neural networks model is used for rating a supplier and hence to arrive at a decision. This model is helpful for managers as it acts as an objective assessment criterion for suppliers.

Under inflation is one of the leading causes of tyre failure .if tyre pressure is too low ,too much of the tyre's surface area touches the road ,which increase friction can cause the tyres to overheat ,which can lead to premature wear ,tread separation and blowouts. As we are aware that maintenance of correct tyre pressure is extremely important for the enhancement of tyre life. Due to drop in the pressure the tyre goes underinflated stage, it reduces fuel economy, quickest tyre wear, not proper rolling and discomfort ride etc. The system solve out all these problems. We develop an automatic tyre pressure inflation with voice recognition system, which will properly inflate the tyre all the times. To develop the system, this recognizes and send the signal as voice command to indicate air pressure in respective tyre when its pressure goes below the desired/required pressure (under inflated condition). Underinflated tyres overheat more quickly than properly inflated tyres, which cause damage to tyres. To reduce this problem we are designing this system. Greater to overcome this problem, we are designing this automatic tyre pressure inflation system with voice recognition.I.