| dc.description.abstract | In the competitive context of the current manufacturing industry, customer
demand is an uncertain factor. Demand forecasting is extremely important and is a key
factor for manufacturing companies because it determines the future of the business.
This article proposes an optimal forecast demand solution based on mathematical and
machine learning methods, thereby delving into the cost optimization strategy for VJ
Engineering Vietnam Company, specializing in manufacturing mechanical components.
Appropriate forecasting methods have been used to forecast demand, and a Mixed
Integer Linear Programming model has been developed to optimize overall costs,
including production costs, setup costs, backorder costs, and inventory costs. | en_US |
