| dc.description.abstract | The animal healthcare industry plays an important role in the growth and
development of animals by providing food and food supplement. It only can prevent
many diseases but also stimulate growth – which are the biggest problems to breeder
and farm owner. Beside the quality of products, accuracy in forecasting demand is
needed for company to ensure revenue growth. In this case study of Virbac Vietnam
company, I compare four difference methods of forecasting: Moving Average,
Exponential Smoothing, Decomposition and ARIMA to choose the most suitable one by
using the company’s historical data in the past two years. In addition, the line charts of
each methods show the gap of forecasting flow to the real demand. This thesis paper end
with the result of methods and choosing one in conclusion. | en_US |
