EdX

Demand Management in a Demand Driven Supply Chain (edX)

Offered by ISCEA,
Demand Management in a Demand Driven Supply Chain (edX)

Learn how a Make-and-Sell organization can become Demand-Driven through sensing demand signals, analyzing consumer demand data in real time, improving short-term forecast accuracy, and articulating an effective supply network response. By the end of the course, you will also become well versed in demand shaping and automated replenishment programs that reduce shortages and increase profitability.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Part of the ISCEA CFDP - Certified Forecaster and Demand Planner - Internationally Recognized Certificate.
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.
This course is part of the Certified Forecaster and Demand Planner (CFDP) Professional Certificate.

What you'll learn

  • How a Make-and-Sell organization can become Demand-Driven
  • How Demand Sensing and Data Analysis can improve Supply Chain Response.
  • How to improve forecasting with downstream data and demand sensing
  • How to improve supply chain responsiveness with automated replenishment programs
  • How reorder point replenishment policies compare to DDMRP (Demand Driven Materials Requirement Planning) inventory buffers

Syllabus

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

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Analytics for Decision Making (edX) EdX
Babson College

Analytics for Decision Making (edX)

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced
Self-Paced
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
R Data Science Capstone Project (edX) EdX
IBM

R Data Science Capstone Project (edX)

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets. In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data Analytics with Excel and R Professional Certificate Programs.

Self Paced
Self-Paced
Supply Chain Design (edX) EdX
MIT,MITx

Supply Chain Design (edX)

Learn how to design and optimize the physical, financial, and information flows of a supply chain to enhance business performance – part of the MITx MicroMasters Credential in Supply Chain Management. CTL.SC2x Supply Chain Design covers all aspects involved in the design of supply chains for companies and organizations anywhere in the world. The course is divided into four main topic areas: Physical flow design, Supply chain finance, Information flow design, and Organization/Process design.

Self Paced
13-24 Weeks
Data Processing and Analysis with Excel (edX) EdX
Rochester Institute of Technology,RITx

Data Processing and Analysis with Excel (edX)

Learn to use Excel to organize and clean data so it can be manipulated and analyzed. In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

Self Paced
Self-Paced
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced
Datos para la efectividad de las políticas públicas (edX) EdX
Inter-American Development Bank - IDB,IDBx

Datos para la efectividad de las políticas públicas (edX)

Este curso te ayudará a tomar el control de los datos y familiarizarte con las herramientas para utilizarlos en la planificación, gestión y evaluación de políticas publicas. En esta era de la información, los datos están disponibles en todos lados y crecen a una tasa exponencial. ¿Cómo podemos darles sentido a todos los datos y aprovecharlos en el momento de tomar decisiones?, ¿cómo los utilizamos para que nos ayuden a guiar la gestión y planificación de nuestras políticas? Tanto si eres ciudadano como planificador de políticas, deberías poder responder a estas preguntas.

Self Paced
Self-Paced
Analyzing Data with Excel (edX) EdX
IBM

Analyzing Data with Excel (edX)

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data. This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis.The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Self Paced
Self-Paced
Análisis de datos empresariales con R (edX) EdX
Universidad Anáhuac,AnahuacX

Análisis de datos empresariales con R (edX)

Analiza los datos con R y R Studio aplicando nuevas técnicas para tomar decisiones orientadas a los negocios, contemplando información de diversas variables simultáneamente y sé parte de la transformación empresarial. Si tomas decisiones en tu empresa o deseas involucrarte en la ciencia de datos y el uso de tecnologías computacionales, este curso es para ti.

Self Paced
Self-Paced
Analyzing and Visualizing Data with Power BI (edX) EdX
Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced