Course Overview
This advanced course provides deep statistical knowledge for supply chain professionals. You will learn hypothesis testing, regression analysis, experimental design, and how to apply statistical methods to optimize supply chain performance and validate improvements.
What You'll Achieve
Course Curriculum
Master the following skills through our comprehensive modules:
Supply Chain Statistics, Data Management
4 topicsTopics Covered:
- Statistical thinking in supply chain
- Data collection methods
- Data quality assessment
- Descriptive statistics review
Managing Uncertainty
4 topicsTopics Covered:
- Probability distributions in supply chain
- Risk quantification
- Confidence intervals
- Prediction intervals
Law of Random Variables and Prediction Intervals
4 topicsTopics Covered:
- Random variable properties
- Expected value applications
- Variance and standard deviation
- Advanced prediction interval calculations
Hypothesis Tests, Regression Analysis
4 topicsTopics Covered:
- Hypothesis testing framework
- T-tests and ANOVA
- Simple and multiple regression
- Regression diagnostics
Demand Planning & Forecasting using Regression, Double exponential smoothing
4 topicsTopics Covered:
- Regression-based forecasting
- Exponential smoothing methods
- Damped trend models
- Forecast model selection
Stochastic Inventory Models & Random Demand
4 topicsTopics Covered:
- News vendor model
- Service level optimization
- Safety stock under uncertainty
- Multi-period stochastic models
Logistics Systems: Transportation and Network Analysis
4 topicsTopics Covered:
- Transportation inventory models
- Line haul transportation optimization
- Vehicle routing algorithms
- Transportation network design
Final Thoughts on Analysis
4 topicsTopics Covered:
- Integrating analytical methods
- Building analytical capability
- Continuous analytical improvement
- Future trends in supply chain analytics
Practical Applications
- Apply statistical hypothesis testing to validate supply chain improvements
- Use regression analysis to identify key performance drivers
- Implement design of experiments (DOE) for process optimization
- Calculate optimal safety stock levels using statistical methods
Certification
Receive an official 'Advanced Supply Chain Statistics' certificate from Think Supply Chain upon successful completion
Career Impact
Statistical mastery is a rare skill in supply chain. Experts in this area are highly sought after and can lead organizational transformation initiatives.
Your Instructor
Hazem Hamza
Supply Chain & Data Science Consultant
With over 12 years of experience in supply chain management across manufacturing, retail, and logistics industries, Data Science and Software Engineering projects, Hazem brings practical expertise and academic excellence to help professionals advance their careers.
Ready to Enroll?
Contact us via WhatsApp for inquiries