Course syllabus

7,5 Credits

Compulsory course in the Master Programme

Production Engineering

In Chalmers University of Technology

Gothenburg, Sweden

 PPU161 Picture.png

Examiner

Professor Johan Stahre

email: johan.stahre@chalmers.se

Telephone: +46(0)317721288

 

Course administrator

PhD student Clarissa González

E-mail: clarissa.gonzalez@chalmers.se

Telephone: +46(0)768537741

 

PhD student Greta Braun

E-mail: greta.braun@chalmers.se

Telephone: +46 734483591

Master Programme responsible

PhD Anders Skoogh

email: anders.skoogh@chalmers.se

Telephone: +46(0)317724806


 

 

 

 

PURPOSE OF THE COURSE

Students graduated from Chalmers Master's Programme in Production Engineering must have achieved the knowledge and judgment skills to be able to conceptualize, develop and improve production systems with an emphasis on digital technologies and sustainability.

The primary objective is to convey fundamental knowledge about the role of digital technologies in production systems and to serve as a foundation for further learning in more specialized courses within the Master's Programme.

 

LEARNING OBJECTIVES

After this course the students will be able to:

LO1.- Analyze and contrast paradigms in the history of production systems and project the impact of digital technologies on the future of industrial production systems.

LO2.- Evaluate a range of enablers and challenges that influence decision-making in a production system.

LO3.- Compare and contrast the application of digital technologies in current production systems and recommend their implementation in the design of new ones.

LO4.- Analyze and evaluate the role of automation in a production system considering both physical and cognitive aspects.

LO5.- Describe how connectivity can enable an adaptive information system in a production environment.

LO6.- Describe basic data analytics to address problems in production systems.

LO7.- Identify and evaluate the implications of digital technologies regarding environmental and social sustainability in production systems.

 

COURSE CONTENT

 The course covers the following topics:

  • History of production systems and production paradigms;
  • The application of digital technologies in current production systems;
  • Connectivity applications in production systems;
  • Use of data analytics for optimization of production systems;
  • Levels of automation for a production system;
  • Implications of digital technologies regarding sustainability.

 

ORGANIZATION

Students will learn the course content using a problem oriented pedagogy supported by lectures. This course includes one company project with associated analysis, and lectures about digital technologies and sustainability.

  The learning activities are:

  • Lectures: Provides theoretical foundation and support for project work;
  • Assignments: Reflections of the use of the digital technologies and impact on the development of sustainable production systems;
  • Project: Applying skills learned throughout the course to analyze and improve productions systems;
  • Presentation: Be able to present and defend project results.

 

EXAMINATION

The course examination is based on three parts:  modules' assignments, project work, final exam. It is compulsory to sign up for the exam in order to join a session examination. 

  • Modules' assignments - Pass or fail. You have to pass all the assignments.
  • Project - project's assignments, report and presentation - maximum 30 points (report = 20 points, presentation = 10 points, assignments= pass or fail).
  • Exam - maximum 20 points, you need at least 8 points to pass.

The grading scale is: Failed, 3, 4 and 5.

The points are summed up and result in the following scale:

40-50 points   = 5 (the maximum grade cannot exceed 50 points).

30-39 points   = 4

20-29 points   = 3

0-19   points   = Failed

Modules' assignments

All assignments from the different modules must be approved to pass the course. The expectations from each assignment, are explained in each exercise in the Assignments section (the assignments will be published along with the development of the lectures).

The mandatory activities are:

1.                    

The sustainability module should be completed and the quiz must be passed.

09-03-21

2.                    

A quiz or reflection on the content of the “Digital Twin” Module must be passed.

09-13-21

3.                    

A presentation about the Data module will be conducted in teams.

09-18-21

4.

A report and a presentation of the exercise in the module of “Application of 5G in a manufacturing context” must be passed.

Presentation on 09-23-21

5.

A reflection about the Automation module must be passed.

10-04-21

6. 

Actively participate in the Sustainability Seminar

10-01-21

 

 

Exam

The student needs to pass the exam in order to be approved in the course and achieve a final grade. The written exam covers the content of all the different modules in this course:

  1. Introduction
  2. Sustainability
  3. Digital twin
  4. Data
  5. Connectivity & 5G
  6. Automation

 

Project

The project work aims at applying the skills throughout the course to understand and implement digital technologies for the development of a sustainable production system. This is a group activity and further information can be found in the Module "Project".  Directions for the project can be found here.

Project-related assignments:

1.                    

Deliverable of Progress report on Sustainability

09-13-21

2.                    

Deliverable of Progress report on Digital Twin & Data

09-27-21

3.                    

Deliverable of Progress report on Connectivity & Automation

10-04-21

4.

Delivery of final draft to opponent team

10-11-21

5.

Send written opposition to assigned team

10-13-21

6.

Upload Power Point presentation to Canvas

10-15-21

7.

Presentation of project. You are expected to make questions to an assigned team

10-18-21

8.

Delivery of final report including comments from opposition

10-29-21

 

COURSE SCHEDULE

Note: All the sessions of this course will be held online. You must check in the Canvas page for the corresponding Zoom link to each session. The missing links will be made available with the development of the course.

During self-study sessions and project work, you and your team are responsible to define how to communicate.

Week Date Start End Block Lecture Lecturer Zoom
35 08-30-21 13:15 15:00 Introduction General Course Overview and Future Factories Johan Stahre

 https://chalmers.zoom.us/j/69065824490

Passcode: PPU161

08-30-21 15:15 17:00 Industrial revolutions from traditional to digital systems Johan Stahre
09-02-21 8:00 9:45 Sustainability Thinking: Online guided activity Mélanie Despeisse

 https://chalmers.zoom.us/j/66560977673

Passcode: PPU161

09-02-21 10:00 11:45 Working with a culturally diverse group Becky Bergman

 https://chalmers.zoom.us/j/67537428335

Passcode: PPU161

09-03-21 15:15 17:00 Manufacturing Strategies David Romero (Tecnológico de Monterry)

https://chalmers.zoom.us/j/62253831476

Passcode: PPU161

36 09-06-21 15:15 16:00 Digital Twin & CPS Thomas Lydhig (SEMCON)

 https://chalmers.zoom.us/j/68539333128

Passcode: PPU161

09-09-21 8:00 9:45 Digital Twin (System Level) Marcus Frantzén

https://chalmers.zoom.us/j/64742648799

Passcode: PPU161

09-09-21 10:00 11:45 Digital Twin (Factory Level)
09-10-21 13:15 15:00 CPS & Standardization Björn Johansson

https://chalmers.zoom.us/j/67193126119

Passcode: PPU161

09-10-21 15:15 17:00 Work on your own
37 09-13-21 13:15 15:00 Data  The role of data in maintenance in PS Anders Skoogh

Live: EF Hall

Zoom: https://chalmers.zoom.us/j/69267924177

Passcode: PPU161

09-13-21 15:15 17:00 Introduction to Data Science Ebru Turanoglu

Live: EF Hall

Zoom: https://chalmers.zoom.us/j/69637016823

Passcode: PPU 161

09-16-21 8:00 9:45 Data Mining & Visualization  Zoom: https://chalmers.zoom.us/j/62998171624
Password: PPU161 
09-16-21 10:00 11:45 AI and ML

Moderated by Ebru: 

https://chalmers.zoom.us/j/62354509004

Password: PPU161

Moderated by Clarissa:  https://chalmers.zoom.us/j/66741945674
Password: PPU161 

09-17-21 15:15 17:00 Work on your own
38 09-20-21 13:15 15:00 Connectivity & 5g Connectivity as an enabler of Industry 4.0 Maja Bärring https://chalmers.zoom.us/j/61268913670
Password: PPU161 
09-20-21 15:15 17:00
09-23-21 8:00 9:45 Presentations from students https://chalmers.zoom.us/j/67107766955
Password: PPU161 
09-23-21 10:00 11:45 Examples & learnings from previous industrial projects
09-24-21 15:15 17:00 Machine learning and visual recognition Farshid Harandi

https://chalmers.zoom.us/j/62038872023

Password: PPU161

39 09-27-21 13:15 15:00 Automation Smart Automation Åsa Fasth-Berglund
09-27-21 15:15 17:00 Levels of Automation Åsa Fasth-Berglund
09-30-21 8:00 9:45 Digitalization & cognitive automation Dan Li https://chalmers.zoom.us/j/61063870270
Password: PPU161 
09-30-21 10:00 11:45 Robots for Collaborative Applications Omkar Salunkhe
10-01-21 15:15 17:00 Sustainability Workshop (SVR) Mélanie Despeisse
Password: PPU161
40 10-04-21 13:15 15:00 Report Report Preparation

Clarissa González

& Greta Braun

 

10-04-21 15:15 17:00 Report Preparation
10-07-21 8:00 9:45 Sustainability Sustainability Seminar

Mélanie Despeisse 

 

    Password: PPU161
10-07-21 10:00 11:45
41 10-11-21 8:00 11:45 Report Report Preparation Clarissa González
42 10-18-21 13:15 17:00 Final stretch Final Project Presentation  Join from PC, Mac, Linux, iOS or Android: https://chalmers.zoom.us/j/69059815163
Password: 415871 
10-23-21 14:00 18:00 Exam

https://chalmers.zoom.us/j/64645842519 

Password: PPU161

LITERATURE

Check the suggested literature for each module in the Files menu. The literature will be updated with the development of the course.

 

STUDENT REPRESENTATIVES