Demand Management in a Demand Driven Supply Chain

In today’s environment where customers, needs, markets and product portfolios change rapidly; planning the future based on historical data alone is simply not good enough. Demand-driven supply chain management is less likely to be negatively affected by procurement and supply disruptions, demand variability and volatility, short product lifecycle, and frequent new product releases.

Learn how demand-driven supply chains are capable to identify customer needs and use point of sale data; sensing actual demand to provide an adequate response through demand-driven supply chain processes and providing customers with high service levels without holding high inventory levels and incurring in high fulfillment costs.

By the end of this course, that is part of the edX Professional Certificate program to become a Certified Forecaster and Demand Planner (CFDP), you will be able to apply demand-driven supply chain techniques and approaches That include: Demand sensing, demand signal management, data analysis, demand shaping, automated inventory replenishment programs, and Demand Driven Materials Requirement Planning - DDMRP.

CFDP certified professionals are globally preferred by recruiters for decision making positions because they can improve demand planning business processes, implementing collaborative practices that include both providers and retailers to integrate the global supply chain.

Section 3.1. Demand driven supply chain framework

3.1.1. Demand-driven supply chain fundamentals

3.1.2. Reasons to become demand-driven

3.1.3. Make-and-sell vs Demand-driven organizations

Section 3.2. Demand sensing

3.2.1. Demand sensing fundamentals

3.2.2. Demand signals

3.2.3. Demand sensing examples

Section 3.3. Improving forecasting with POS data and demand sensing

3.3.1. Demand sensing data

3.3.2. Demand signal repositories

3.3.3. Impact of demand sensing in planning

Section 3.4. Principles of data analysis

3.4.1. Building a competitive advantage through analytics

3.4.2. Overview of data analysis methods

3.4.3. Data analysis drivers and benefits

3.4.4. Developing a data culture

Section 3.5. Supply chain response

3.5.1. Supply chain responsiveness

3.5.2. Demand shaping

3.5.3. Automated replenishment programs

Section 3.6. Introduction to Demand Driven Materials Requirement Planning– DDMRP

3.6.1. MRP evolution

3.6.2. Demand-Driven MRP

3.6.3. ROP replenishment policies vs DDMRP