Abstract: The present invention technically relates to an optimization system that is designed to solve the multivariate polynomial equation based on machine learning. The optimization system comprises a front-end framework to receive a plurality of optimizing queries and a back end to execute the received query. A serve database stores a plurality of data entered on the input interface of the front end and a communication network transmit various recommendation executed by the back-end framework. The optimization system helps to minimize the electricity cost in caustic soda production by executing the optimizing constraints.

Abstract: The invention enables a system for generating a daily production plan and assigning the products to be painted for a plurality of Paint Shop production lines. Embodiments of the present disclosure may include a System for generating a daily production plan and assigning the products to be painted for a plurality of Paint Shop production lines, including inventory data receiving means. Embodiments may also include previous backlog production data receiving means. Embodiments may also include order data means for receiving detail about the products to be painted. Embodiments may also include constraints configuration means for configuration of the constraints of the production system. Embodiments may also include production plan generation means for generating a production plan based on the inventory data (a), the previous backlog production data (b), the order data details (c), and the constraints of the production system (d).