PLM systems - functions, architecture, configuration and usage

Information flows in producing companies

Principles and methods for product data management

Data modelling

Relational databases and SQL

After passing the course, the student should be able to:

• explain what product data is and describe its role in a producing company through the whole life cycle of a product
• explain the basic principles of documentation of a product including the rules of operations that apply to this
• describe the main functions and the general architecture of a PLM system
• develop a specification for adaptations of a PLM system for a producing company, based on given preconditions
• create an information model based on a number of operations requirements on product data
• use this information model in an implementation of a PLM system to support a company's processes
• account for the fundamentals of relational databases and formulate simple expressions/queries in a modern database management system
• account for similarities and differences between different PLM systems on the market

The learning activities in the course consists of:

Lectures and guest lectures - including background, theory, terminology, systems architecture, data modelling, business and engineering change management, and application programming.
Guests from industry and PLM consultants are invited to lecture in the course.

Laborations - computer exercises to get a feeling of how a PLM software is configured and built.

Workshop - full-day workshop using another PLM software than the one used in the labs, to experience similarities and differences with the softwares. The workshop is monitored by a PLM company.

Project - configuration of a PLM software to support real data management for a fictive company. All guest lecturers and a few other professional PLM experts are invited to listen to the final presentation of the projects.

MG2028/MG2128 or corresponding

All course material (lecture notes/presentations, lab instructions, Aras User's Guide and other
reference material) will be published on Canvas throughout the course.

In laboratory exercises we use software that is certain to find in our own computer labs, or that requires remote connection, VPN or Remote Desktop to KTH's network.

Aras Innovator 12
Microsoft SQL Server Management Studio 18

Students at KTH with a permanent disability can get support during studies from Funka:

Funka - compensatory support for students with disabilities

A, B, C, D, E, FX, F

• INLA - Individual assignment and reflections, 2.0 credits, Grading scale: A, B, C, D, E, FX, F
• LABA - Laboratory assignments, 3.0 credits, Grading scale: P, F
• PROA - Project work, 4.0 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Individual assignment and reflections ( INLA )

The Assignment INLA will be graded mainly on the quality of your individual project report. Criteria and content of the report will be handed out when the task is published. To receive this grade, all reflections on the guest lectures have to be approved.

Laboratory assignments ( LABA )

The labs are individual. For every laboratory task, each student should write a short report about the task. To received this grade, all lab reports have to be approved.

Project work ( PROA )

The project will be graded individually based on the quality on the implementation, the documentation of it and on each student’s work effort in the project. This includes both group and individual tasks.

Final grade

The final grade of the course will be based mainly on the project work and the individual reports/tasks and reflections, but the overall performance during the course will also be considered.

Active participation in PLM workshop

All tasks can be handed in late.

If one misses the workshop there will be an alternative personal task.

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

There are no large changes from the previous course offering.
The project groups may vary in size. One or two new scenarios for the project are planned to be implemented.