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Advanced Manufacturing & Logistics (19CBA11007)

General information

Type:

 OP

Curs:

 1

Period:

 S semester

ECTS Credits:

 3 ECTS

Teaching Staff:

Group Teacher Department Language
Jaume Hugas Sabater Operaciones, Innovación y Data Sciences ENG

Prerequisites

Highly Interested in the Impact of Industry 4.0, Artificial Intelligence, Block Chain & E-commerce in Manufacturing and Logistics.

Previous Knowledge

Not needed

Workload distribution

Pre Course Reading (18 hours)
Course Attendance & Participation 9 sessions of 3 hours ea (27 hours)
Final Team Work (30 hours)

COURSE CONTRIBUTION TO PROGRAM

Focusing on how the ninth technologies of Industry 4.0 plus Artificial intelligence plus Block Chain will be affecting Manufacturing and Logistics

Course Learning Objectives

1. To understand Industry 4.0 plus Artificial Inteligence plus Blockchain and E-commerce
2. Learn about the main two existing models of Manufacturing and Logistics
3. Evaluate the impact of New Technologies in the Strategic Manufacturing and Logistics for 2020

CONTENT

1. Feb 8th, 2018 AML1 Manufacturing & Logistics and Industry 4.0

Industry 4.0 impact in Manufacturing and Logistics
1 Connect: VI/ HI (Vertical and Horizontal integration), Cloud and IoT (Internet of things) plus IIot (Industrial Internet of Things)
2 Think: BD (Business Data) Analytics, Autonomous Robots & Cybersecurity
3 Digitalize: 3D Printing, SImulation & AR (Augmented reality) plus VR (Virtual reality)

2. Feb 15th AML 2: Vertical & Horizontal Integration in Mfring & Logistics and Ecommerce

Three Case Studies
The Omnichannel Supply Chain of ZARA: Competing with Flexibility & Innovation
The Global E-commerce Logistics of WALMART: Competing with Cost & Services
E-commerce Logistics: Wal-Mart vs Amazon

3. March 1st AML 3: Industrial Internet of Things (IIoT)

From ERP to PLM (Product Lifecycle Management)
From PLM to MES (Manufacturing Execution Systems)
From MES to SCADA (Supervisory Control and Data Acquisition)
From SCADA to PLC (Programmable Logic Controller)
From PLC to Sensors (Field & Machines)
Company Presentation

4. March 8th AML 4: Autonomous Robots & Bots in Mfring & Logistics

Manufacturing Robots (Fanuc, ABB, Kuka et al)
Logistics Robots (Kiva, Swisslog, Fetch et al)
Company Presentation

5. March 15th AML 5: Big Data Analytics & Artificial Inteligence in Mfring & Logistics

Big Data Analytics (Historical Planning Systems)
Artificial Inteligence (AI) & Cybersecutiry: Image Recognition plus Text to Voice and Natural Language.
Transportation Impact of AI: Tesla, Otto et al
Company Presentation

6. March 22nd AML 6: 3D Printing (Adittive Manufacturing)

Advanced Manufacturing: Different Technologies (FDM (Fused Deposition Modeling), SLA (Stereolithography), DLP (Digital Light Processing), SLS (Selective Laser Sintering), SLM (Selective Laser Melting), EBM (Electron Beam Melting), LOM (Laminated Object Manufacturing), BJ (Binder Jetting) et al
Main Applications in different Industries.
Company Presentation

7. April 5th AML 7: AR (Augmented Reality) , VR (Virtual Reality) & Simulation

Siemens Tecnomatix, Delmia simulation, GE Predix et al
AR & VR: Snap, Google, Facebook , Nvidia, Niantic, HTC, ViveX et al
Company Presentation

8. April 12th AML 8: Blockchain Impact In Manufacturing & Logistics

Blockchain Cases: Wal-Mart. Maersk et al
Bitcoin, Ethereum & Hyperledger platforms
Company Presentation

9. April 19th AML 9 : Team Work Presentations on Advanced Mfring & Log Applications

Team Work: Empirical & Case Studies presentation.
Final conclusions

Methodology

Technical Notes, Case Studies & Company Presentations

ASSESSMENT

ASSESSMENT BREAKDOWN

Description %
AML1 Manufacturing & Logistics and Industry 4.0 2
AML 2: Vertical & Horizontal Integration in Mfring & Logistics and Ecommerce 2
AML 3: Industrial Internet of Things (IIoT) 2
AML 4: Autonomous Robots & Bots in Mfring & Logistics 2
AML 5: Big Data Analytics & Artificial Inteligence in Mfring & Logistics 22
AML 6: 3D Printing (Adittive Manufacturing) 2
AML 7: AR (Augmented Reality) , VR (Virtual Reality) & Simulation 2
AML 8: Blockchain Impact In Manufacturing & Logistics 32
AML 9: Team Work Presentations on Advanced Mfring & Log Applications 34

Assessment criteria

Final Group Work on Advanced Manufacturing & Logistics with Tutoring
1 Introduction 2 Objectives 3 Methodology & Questions 4 Literature & Preliminary Model 5 Qualitative Research 6 Conclusions (Final Model) 7 Limitations and Further Research
Final Group Work (50%)
Final Presentation (30%)
Attendance & Participation (20%)
To pass the course attendance of six sessions is needed

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

Timetable and sections

Group Teacher Department
Jaume Hugas Sabater Operaciones, Innovación y Data Sciences

Timetable