The aim of this project is to forecast the monthly prices of cement in India from changes in the price of crude oil. The analysis can help construction companies and other involved players manage their inventories effectively and influence their purchasing decisions.
Our analysis aims to reveal insights from monthly international passenger traffic data in the three major U.S. Airways hubs, Charlotte (CLT), Philadelphia (PHL), and Phoenix (PHX), to predict future implications at the newest international hub, Phoenix. Operations in PHX international hub began more recently (2007) than the other two hubs (2000), leading us to focus on creating a forecasting model to predict the monthly flow of international passengers to and from the PHX hub with fuller accuracy using the combination of insights.
This project aims at accurately forecasting retail demand for women’s apparel in the United States, in order to help a large apparel exporter in China to reduce operating expenditure and rationalize capital expenditure in the future.
Prof. Galit Shmueli, Institute of Service Science, College of Technology Management, National Tsing Hua University, 101 Kuang Fu Road Sec. 2, Hsinchu 30013 Taiwan
