• Dattatray Gandhmal
• Nagdatta Gajjam
• Farzeen Sheikh

Recently, a lot of attention has been paid to biofuel energy as an alternative to fossil fuels. To keep this vision alive, we need a strong supply chain that helps get competitive biofuels to end-use markets. This paper first demonstrates what supply chain is. There are many problems are identified in supply chains for biofuels such as Secure Transaction problems, Material Tracking, Farmers profits and Supply chain optimizations. We can optimize supply chain by demand forecasting, Inventory optimization, Predictive maintenance, Route optimization etc. In this paper we will discuss about “supply chain optimization” in demand forecasting, Inventory management and predictive maintenance and its solution. Several techniques are devised in the existing techniques to predict the demands for products according to environment and time of the year. In this paper we will discuss why Reinforcement learning techniques are not suitable for supply chain optimization and along with that we will showcase our new model which is developed using different regularization techniques on Gradient boosting machines. This paper also compares different machine learning algorithms for supply chain optimization and its matrices. The works are analyzed using certain datasets, software tools, performance evaluation measures, prediction techniques utilized, and performance attained by different techniques. The prediction using the proposed Gradient boosting machines using L1 regularization and extreme gradient boosting approach shows the superior performance in terms of mean absolute percentage error and root mean square error

Machine Learning,Gradient Boosting Machines, Regularization,XGBoost,Linear Regression,LASSO

"Supply chain Optimization Technique for biofuels industries using L1 Regularization and eXtreme Gradient Boosting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.h582-h587, June-2023, Available :http://www.jetir.org/papers/JETIR2306776.pdf

"Supply chain Optimization Technique for biofuels industries using L1 Regularization and eXtreme Gradient Boosting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pph582-h587, June-2023, Available at : http://www.jetir.org/papers/JETIR2306776.pdf