eslmba

Project information

A comprehensive Python-based software project focused on calculating the price of milk bottles based on the input parameters related to the materials and production process. The system considers various factors, including "Bottle Weight," "Masterbatch Content," "Masterbatch Price," "Masterbatch's Titanium Dioxide Content," "rPET-O Content," "rPET-O Price," "Virgin PET Price," "rPET-O's Titanium Dioxide Residual," "Electricity Price," and "ISBM Machine Production Capacity."

This Python-based software project demonstrates an innovative approach to calculating milk bottle prices, offering a customizable solution for the dairy industry that enhances transparency, efficiency, and decision-making in the production process.

Python data analysis