Advanced Manufacturing & Logistics (2235.YR.000263.1)
General information
Type: |
OPT |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
3 ECTS |
Teaching Staff:
Group |
Teacher |
Department |
Language |
Year 1 |
Sergi Fabregat Rey |
Operaciones, Innovación y Data Sciences |
ENG |
Prerequisites
Highly Interested in the Impact of Industry 4.0, Artificial Intelligence & E-commerce applied in Manufacturing and Logistics.
Previous Knowledge
Not needed
Workload distribution
- Professor sessions: 50%
- Executive presentations: 20%
- Asynchronous activities: 20%
- Final exam: 10%
COURSE CONTRIBUTION TO PROGRAM
The course will focus on analyzing the some of the Industry 4.0 technologies and their impact on different Industries Business Models.
Sessions will be focus on the following technologies: Industrial Internet of things, Autonomous Robots, Artificial Intelligence, 3D Printing, Blockchain and E-Commerce applied on Manufacturing & Logistics.
Course Learning Objectives
1. Reflect on Industry 4.0, Artificial Intelligence, Blockchain & E-commerce Operations and Omnichannel Logistics.
2. Understand the main trends in Advanced Manufacturing and Logistics
3. The technologies impact on business models.
4. Diagnose what projects actually matter the most for implementing Industry 4.0 technologies.
5. Develop business models implementing 4.0 technologies
CONTENT
1. AML 1:The Age of Computing Cloud * Cybersecurity |
2. AML2: Factories of the Future IIOT |
3. AML 3: The new Co-Workers Autonomous Robots
|
4. AML 4: AI, the next Big thing May Artificial Inteligence |
5. AML 5: Smart Manufacturing Digital Research & Manufacturing - Moderna Case Study |
6. AML 6: Printing the future, The fundamentals of 3D Printing |
7. AML 7: Advanced Logistics E-Commerce Logistics |
8. AML 8: The World of Tokens Blockchain |
9. AML 9 : Final Exam Final exam
|
Methodology
Technical Notes, Case Studies & Company Presentations
ASSESSMENT
ASSESSMENT BREAKDOWN
Description |
% |
AML 1: The Age of Computing |
10 |
AML2 Factories of the Future |
10 |
AML 3: The new Co-Workers |
10 |
AML 4: AI, the next Big Thing |
10 |
AML 5: Smart Manufacturing |
10 |
AML 6: Printing the future |
10 |
AML 7: Advanced Logistics |
10 |
AML 8: The World of Tokens |
10 |
Final Exam |
15 |
Assessment criteria
-Final exam: 40%
-Four case studies group report: 40%
-MIT Lectures resume: 10%
-Attendance and participation: 10%
*80% attendance is required in order to pass the course
Bibliography
22289@ontramail.com Peter Diamandis <peter@diamandis.com>
http://www.salimismail.com/
Futurism <noreply@futurism.com>
The Boston Consulting Group <thebostonconsultinggroup@bcg.com>
McKinsey & Company <publishing@email.mckinsey.com>
account@seekingalpha.com
http://xavierferras.blogspot.com.es/p/interesting-news.html
HBR's 10 must reads (2019) : AI , Analytics and the new Machine Age
Building the digital enterprise of The Future at Siemens
HBR Artificial Intelligence for real
MIT Sloan Management Review
MIT Technology Review
HBR Artificial Intelligence for real
MIT Sloan Management Review
MIT Technology Review
Readings and cases will be upload on moodle.
Timetable and sections
Group |
Teacher |
Department |
Year 1 |
Sergi Fabregat Rey |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2024/5/2 to 2024/6/20:
Each Thursday from 16:45 to 18:15.
Each Thursday from 15:00 to 16:30.
Thursday 2024/6/27 from 14:45 to 18:00.