Study Guide

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Materials

Lecture materials and other reading in Its learning.

Product Lifecycle Management; Antti Saaksvuori, Anselmi Immonen, 2002

Tuotetiedon hallinta ja tuotekonfigurointi; Asko Martio

Books of Product Data Management

Teaching methods

By listening, reading, examining, analyzing, synthesizing, telling and writing to learn more of PLM.

Exam schedules

Hand written EXAM is held Mo 4.11.2024.
Re-exam can be taken two times. Time will be informed later at the end of the course.

International connections

Lectures, learning by doing, PBL, Information searching, small group work.

Sustainable development goals:
4. Quality education
5. Gender equality
9. Sustainable industry and innovations
12. Responsible consumption and production
13. Climate action

Completion alternatives

ei

Student workload

3 cr = 80 hours students work. 

27 hours lectures, exam and presentations
39 hours individual exercises and group works given during the lecturers.
Exam + preparations 14 hours.

Content scheduling

Autumn 2024.
Timetable will be clarified in the beginning of the course.

Basic theories of PDM
Items Management
Document management
Product structure management
Workflow and change management
IT –systems to manage Product related data.
PDM-system collecting sustainability information.

Examples from real world cases
PDM in ´selected company Oy ´
Analyzing and defining PDM needs in companies

Further information

Discussion during lectures, ITS-learning and e-mail.

Evaluation scale

H-5

Assessment methods and criteria

Exam, presentations, project reports of assignments will be evaluated for grading.
For final grading, weight of Exam (F-5) is 50% and lecture assignments weight is (F-5) 50%.
Requires 40% of the points to pass the exam.
Timetables of the assignments will be agreed in the beginning of the course.

Evaluation of the assignments will be done according to following criteria:
- Treatment of the subject (perspective, scale)
- Combining theory and practice
- Critical and analytical approach
- Clarity and structure of both the report and the presentation
- The extensive use of information sources (min three)

Assessment criteria, fail (0)

Exam Failed and
Assignments undone and not returned.

Assessment criteria, satisfactory (1-2)

The content and structure of the report or the exam are weak in scope and coverage. The formatting and clarity of the report need significant improvement. The analysis and utilization of information lack criticality, and the conclusions are insufficient or missing. The use of sources and references is inadequate. Calculations, tables, and images are presented poorly, with many errors in the results. Some assignments were submitted late.

Assessment criteria, good (3-4)

The content and structure of the report and the exam are weak in scope and comprehensiveness. The formatting and clarity of the report need significant improvement. The analysis and utilization of information lack critical thinking, and the conclusions are insufficient. The use of sources and references is inadequate. Calculations, tables, and images are poorly presented, with some errors in the results. Some assignments were submitted late.

Assessment criteria, excellent (5)

The content and structure of the report or the exam are correct, clear, and detailed. The appearance is polished and well-finished. The text is clear, varied, precise, and reflective. There are no errors in the calculations, images, or tables. The work shows extensive background research and consideration, as well as a combination of practical and theoretical elements. Assignments were submitted in time.

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5

Objective

Students can:Recognize different parts in industrial product data management (PDM)Analyse needs in product data management regarding products´ life cycleForm product data specifications to products from different process point-of-viewsApply product data knowledge in different cases.

Content

Principle theories of PDMExamples from real world casesPDM in ´Defining PDM needs in companies

Evaluation scale

H-5