This course aims to equip participants with the knowledge and skills to use data-driven methods
and tools to improve the performance and efficiency of supply chains.
Topics covered Supply chain modelling:
The process of creating mathematical representations of supply chain systems, processes, and activities,
using techniques such as optimization, simulation, network analysis, and game theory.
Supply chain analytics:
The process of applying descriptive, diagnostic, predictive, and prescriptive analytics to supply
chain data, using techniques such as data mining, machine learning, artificial intelligence,
and visualization.
Supply chain forecasting:
The process of estimating future demand, supply, and other variables that affect supply chain performance,
using techniques such as time series analysis, regression analysis, causal modelling, and scenario planning.
Foundar
Director
HR
IT Maneger
