The Demand Predicting Model for Purified Water: Application Study on a University

Purified water is a necessity for daily life of mankind, and its supply chain management impact on production, marketing, and customers etc. In the research, the purified water demand in a university and its factors was studied, and daily temperature and purified water demand data in three months were colleted to analyses and set up a cubic curve mathematical prediction model of purified water demand in the university by using SPSS, multiple regression analysis and curve fitting. The experiment shows that the prediction accuracy of the model is higher and suits to short-term prediction (the next three days). The model is credible and advisable, which can solve some supply chain management issues and improve the management performance of purified water company.