Supply Chain Analytics (SCM 303)
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SCM 303 – SUPPLY CHAIN ANALYTICS
Module Objective
To develop learners' ability to use supply-chain data and analytics to improve forecasting, inventory, procurement, logistics and operational decision-making.
Learning Outcomes Learners should be able to: 1. Understand supply-chain analytics. 2. Analyse procurement data. 3. Analyse inventory data. 4. Analyse supplier performance. 5. Analyse logistics performance. 6. Identify trends. 7. Develop supply-chain dashboards. 8. Use data to support forecasting. 9. Identify supply-chain inefficiencies. 10. Make evidence-based recommendations.
Module Content 1. Introduction to supply-chain analytics 2. Data sources 3. Data cleaning 4. Procurement analytics 5. Spend analytics 6. Supplier analytics 7. Inventory analytics 8. Stock turnover 9. Logistics analytics 10. Transport performance 11. Cost analysis 12. Demand analysis 13. Forecasting concepts 14. Performance dashboards 15. Data visualisation 16. Supply-chain KPIs 17. Trend analysis 18. Exception reporting 19. Predictive concepts 20. Analytics-based decision-making
Learning Outcomes Learners should be able to: 1. Understand supply-chain analytics. 2. Analyse procurement data. 3. Analyse inventory data. 4. Analyse supplier performance. 5. Analyse logistics performance. 6. Identify trends. 7. Develop supply-chain dashboards. 8. Use data to support forecasting. 9. Identify supply-chain inefficiencies. 10. Make evidence-based recommendations.
Module Content 1. Introduction to supply-chain analytics 2. Data sources 3. Data cleaning 4. Procurement analytics 5. Spend analytics 6. Supplier analytics 7. Inventory analytics 8. Stock turnover 9. Logistics analytics 10. Transport performance 11. Cost analysis 12. Demand analysis 13. Forecasting concepts 14. Performance dashboards 15. Data visualisation 16. Supply-chain KPIs 17. Trend analysis 18. Exception reporting 19. Predictive concepts 20. Analytics-based decision-making
IPSD Contact Information
Mr. Peter Senesie, IPSD Assistant Vice President and Dean
Email: psenesie@pathsu.education
Whats App: +232 76 752525
Dr. Michael Udam, Associate Dean, IPSD
Email: mudam@pathsu.education
Whats App: +234 803 249 6398
IPSD Website: PATHS University IPSD
Admissions: admissions@pathsu.education