Introduction to the Digital Supply Chain (11h)
Introduction to the Digital Supply Chain (11h), available at $39.99, has an average rating of 4.3, with 56 lectures, based on 162 reviews, and has 618 subscribers.
You will learn about Use cases: Procurement, Planning, Warehousing, Production & Distribution Supply Chain Analytics + Forecasting with machine learning + Inventory Mngt. Various real-life cases with managerial approach (not tech-centric approach) NOT for Data Science / IT people; For Logistics & SChain professionals Industry 4.o Solutions in the Supply Chain Intelligent Transport Systems & Drones The Cyber Physical Systems The Big Data in the Supply Chain The omnichannel effect RPA & Robotic Ecosystems Artificial intelligence Machine learning and deep learning Augmented reality and Virtual reality 3D printing Digital Transformation Roadmap This course is ideal for individuals who are Professionals from: supply chain, logistics, production/operations/manufacturing, procurement & planning or This is course IS NOT DESIGNED for DATA SCIENCE / IT professionals. It is particularly useful for Professionals from: supply chain, logistics, production/operations/manufacturing, procurement & planning or This is course IS NOT DESIGNED for DATA SCIENCE / IT professionals.
Enroll now: Introduction to the Digital Supply Chain (11h)
Summary
Title: Introduction to the Digital Supply Chain (11h)
Price: $39.99
Average Rating: 4.3
Number of Lectures: 56
Number of Published Lectures: 56
Number of Curriculum Items: 78
Number of Published Curriculum Objects: 78
Original Price: R$109.90
Quality Status: approved
Status: Live
What You Will Learn
- Use cases: Procurement, Planning, Warehousing, Production & Distribution
- Supply Chain Analytics + Forecasting with machine learning + Inventory Mngt.
- Various real-life cases with managerial approach (not tech-centric approach)
- NOT for Data Science / IT people; For Logistics & SChain professionals
- Industry 4.o Solutions in the Supply Chain
- Intelligent Transport Systems & Drones
- The Cyber Physical Systems
- The Big Data in the Supply Chain
- The omnichannel effect
- RPA & Robotic Ecosystems
- Artificial intelligence
- Machine learning and deep learning
- Augmented reality and Virtual reality
- 3D printing
- Digital Transformation Roadmap
Who Should Attend
- Professionals from: supply chain, logistics, production/operations/manufacturing, procurement & planning
- This is course IS NOT DESIGNED for DATA SCIENCE / IT professionals.
Target Audiences
- Professionals from: supply chain, logistics, production/operations/manufacturing, procurement & planning
- This is course IS NOT DESIGNED for DATA SCIENCE / IT professionals.
By the end of this course, you will master the principles of:
· Forecasting with machine learning
· Supply Chain Analytics (descriptive, predictive, prescriptive)
· The Cyber Physical Systems
· The Big Data in the Supply Chain
· The omnichannel effect
· Machine learning and deep learning
· Augmented reality and Virtual reality
· 3D printing
· Intelligent Transport Systems & Drones
· RPA – Robotic Process Automation
· Robotic Ecosystems
Course Curriculum
Chapter 1: Introduction
Lecture 1: SNAR – Supply Network Alignment Reference Model
Lecture 2: Supply Chain Management and the Industrial Revolutions
Lecture 3: The Cyber Physical Systems
Lecture 4: The Big Data in the Supply Chain
Lecture 5: Internet of Things in the Supply Chain
Lecture 6: The Omnichannel Effect
Lecture 7: Case McDonald´s and Dynamic Yield
Chapter 2: Industry 4.o Solutions in the Supply Chain
Lecture 1: Introduction to Artificial Intelligence
Lecture 2: Introduction to Machine Learning
Lecture 3: Introduction to Deep Learning
Lecture 4: Introduction to Blockchain
Lecture 5: Introduction to Robotic Process Automation (RPA)
Lecture 6: Augmented reality and Virtual reality
Lecture 7: 3D printing (additive manufacturing)
Lecture 8: Intelligent Transport Systems
Chapter 3: Digital Platform Business Models
Lecture 1: Digital Platform Canvas
Lecture 2: Supply Chain Digitization
Lecture 3: Supply Chain Disintermediation
Lecture 4: Supply Chain Intermediation
Lecture 5: Supply Chain Disruption
Lecture 6: Value proposition
Chapter 4: Supply Chain Analytics
Lecture 1: Introduction to Supply Chain Analytics
Lecture 2: Descriptive analytics
Lecture 3: Predictive analytics
Lecture 4: Prescriptive analytics
Chapter 5: Supply Chain Data Strategy
Lecture 1: Introduction to Data Strategy
Lecture 2: Supply Chain Data Sources
Lecture 3: Supply Chain Data Uses
Lecture 4: Supply Chain Data Strategies
Chapter 6: Forecasting with machine learning
Lecture 1: Building a Predictive Model
Lecture 2: How a Predictive Model Learns
Lecture 3: The Predictive Model and its Learning Curve
Chapter 7: Blockchain ecosystem and Smart contracts
Lecture 1: Blockchain Principles
Lecture 2: The Hyperledger Project
Lecture 3: The Merkle Tree
Lecture 4: Types of Blockchains
Lecture 5: Consensus Mechanism
Lecture 6: Blockchain Applications
Lecture 7: Smart Contracts
Lecture 8: Blockchain Benefits and Definition
Chapter 8: Robotic Process Automation and Robotic Ecosystems
Lecture 1: RPA Principles
Lecture 2: RPA Implementation Steps
Lecture 3: RPA Benefits to the Supply Chain
Lecture 4: Robotic Ecosystems Principles
Lecture 5: Eyes, brain, hands and feet
Lecture 6: Evolutionary Stages
Chapter 9: Digital Transformation Roadmap & Use-cases
Lecture 1: Digital Transformation Roadmap & Steering Committee
Lecture 2: Industry case: Value Proposition Roadmap
Lecture 3: Industry case: Business Model Roadmap
Lecture 4: Industry case: Data Strategy Roadmap
Lecture 5: Industry case: Technology Roadmap
Lecture 6: Use-case 5: UBER´s Machine Learning Platform
Chapter 10: Content updates
Lecture 1: Case Omnichannel Supply Chain: Tesco-HomePlus in South Korea
Lecture 2: Digital Twins in the Supply Chain
Lecture 3: Managing Risks in DSC Projects
Lecture 4: S&OP and S&OE = Using the Digital Transformation Arc
Instructors
-
Alexandre Oliveira
Digital Supply Chain Expert
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 3 votes
- 3 stars: 20 votes
- 4 stars: 59 votes
- 5 stars: 75 votes
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