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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.