Nigerian Institute of Production Management (NIPM) offers a comprehensive Supply Chain Analytics Training program, designed to equip professionals with the skills and knowledge needed to analyze and improve supply chain performance.
Supply Chain Analytics Training | NIPM
Leverage NIPM supply chain analytics training to improve business processes, supply chain efficiency, decision-making, inventory optimization, customer satisfaction, mitigate risk, achieve competitive edge and increase profitability.
Nigerian Institute of Production Management (NIPM) offers a comprehensive Supply Chain Analytics Training program, designed to equip professionals with the skills and knowledge needed to analyze and improve supply chain performance.
Improve forecasting, planning and decisions for more efficient operations to meet customer requirements profitably and sustainably.
Level 1: Foundation in Supply Chain Analytics
OBJECTIVES:
– Understand the basics of supply chain analytics and its importance6
– Learn data analysis and visualization techniques
– Familiarize yourself with supply chain performance measurement metrics and KPIs
– Develop foundational skills in supply chain analytics
COURSE CONTENT:
Introduction to Supply Chain Analytics
– Definition and importance of supply chain analytics
– Types of analytics: descriptive, predictive, and prescriptive
Data Analysis and Visualization
– Data types and sources
– Data visualization techniques
– Basic tools and software for data analysis and visualization
Supply Chain Performance Measurement
– Key performance indicators (KPIs)
– Metrics for supply chain performance measurement
– Basic benchmarking and best practices
NIPM Practice Guide
– Real-world examples and case studies
– Best practices and industry standards
– Guidelines for implementing supply chain analytics in your organization
Level 2: Advanced Supply Chain Analytics
OBJECTIVES:
– Develop advanced skills in statistical analysis and modeling for supply chain analytics
– Learn demand forecasting and planning techniques
– Understand inventory management and optimization principles
– Apply advanced analytics techniques to improve supply chain performance
COURSE CONTENT:
Statistical Analysis and Modeling
– Descriptive statistics
– Inferential statistics
– Regression analysis and modeling
Demand Forecasting and Planning
– Demand forecasting techniques
– Time series analysis and forecasting
– Collaborative planning and forecasting
Inventory Management and Optimization
– Inventory management principles
– Inventory optimization techniques
– Economic order quantity66 (EOQ) and just-in-time (JIT) inventory management
NIPM Practice Guide
– Advanced techniques for data analysis and modeling
– Best practices for demand forecasting and inventory management
– Case studies and examples of successful implementation
Level 3: Strategic Supply Chain Analytics
OBJECTIVES:
– Develop expertise in supply chain risk management and mitigation strategies
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