Advanced Certification Program in Supply Chain & Operations Analytics

Analytics-Driven Supply Chain & Operations Program Designed for Decision Modeling, Forecasting, and Optimization Leadership

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What you'll learn

Skills you'll gain

Structured supply chain decision thinkingForecast evaluation and demand analysisInventory policy assessmentNetwork design fundamentalsRisk and disruption assessmentAnalytical interpretation for business decisionsScenario-based planningQuantitative problem framingIntegrated planning perspectiveData-to-decision capability

Supply Chain Decision Foundations

Key Topics

Evolution of Supply Chain Decision Systems

Strategic, Tactical, Operational Decision Layers

Service Levels, Fill Rate, Inventory Turns

Cost–Responsiveness Trade-offs

Demand and Supply Uncertainty

Data-Driven Decision Thinking

Learning Outcomes:

Participants will be able to interpret supply chain decisions across planning horizons and evaluate performance trade-offs using a structured, data-driven approach.

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Forecasting & Demand Planning Analytics

Key Topics

Industry Demand Pattern Analysis

Time Series Forecasting Concepts

Forecast Error Metrics

Demand Segmentation Approaches

Intermittent Demand Handling

Demand Planning Integration

Learning Outcomes:

Participants will be able to analyse demand variability and interpret forecast performance for improved planning alignment.

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Inventory & Service-Level Optimization

Key Topics

Inventory Classification Logic

Safety Stock Determination

Reorder Policy Structures

Multi-Echelon Inventory Thinking

EOQ and Newsvendor Models

Inventory Decisions under Uncertainty

Learning Outcomes:

Participants will be able to evaluate inventory policies and assess service-level trade-offs under uncertain demand conditions.

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Network & Logistics Analytics

Key Topics

Facility Location Decisions

Network Design Trade-offs

Transportation Planning Analytics

Routing and Mode Selection

Last-Mile Logistics Challenges

Cost–Time Optimization

Learning Outcomes:

Participants will be able to assess logistics network configurations and interpret transportation planning trade-offs.

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Tools / Utility for SCM Decisioning

Key Topics

SCM Data Handling Concepts

Scenario-Based Analysis

Spreadsheet-Based Decision Support

Dashboarding Approaches

Conceptual SCM Tool Exposure

Learning Outcomes:

Participants will be able to organise supply chain data and translate analytical insights into decision-support formats.

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Prescriptive Analytics & Optimization

Key Topics

Optimization Fundamentals

Linear Programming Concepts

MILP-Based Planning

Constraint-Based Decisions

Scenario Modeling

Stochastic Decision Thinking

Learning Outcomes:

Participants will be able to interpret optimization frameworks for structured planning under operational constraints.

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Risk, Resilience & Disruption Planning

Key Topics

Supply Chain Risk Identification

Network Fragility Assessment

Resilience Planning Concepts

Scenario Simulation

Volatility-Based Planning

Contingency Planning

Learning Outcomes:

Participants will be able to assess disruption risks and apply resilience-oriented planning approaches.

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Emerging Technologies in SCM

Key Topics

Generative AI for Planning

Digital Twin Concepts

AI-Augmented Systems

Real-Time Visibility Platforms

Automation in SCM Planning

Learning Outcomes:

Participants will be able to interpret emerging technology interventions in modern supply chain decision environments.

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