Supply Chain Modelling - Analytics - Forecasting Program
Emerging Business
About Course
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.
Eligibilities
The prerequisites for this course are: a bachelor’s degree or equivalent in a relevant discipline.
Note: Eligibility requirements may vary based on the specific course or program you choose. Please refer to the detailed course brochure for more information.
--- Emerging Business ---
Supply Chain Modelling - Analytics - Forecasting Program
Total Days
26 Days
Total Hours
170 Hours
Your Achievement,
Recognized
Successfully complete the Supply Chain Modelling Analytics Forecasting Program
and showcase your professional achievement with our certificate.
Certificate awarded upon successful completion of the program