After successful completion of the course, students are able to transfer a task into a scientific context, work on it sufficiently and answer it in a scientific way. 

The learning outcomes of the specialization module “Production Information Management (PIM)”are specified as follows:
1.    Naming and distinguishing different methodological approaches for information systems design and evaluation
2.    Elicitation and specification of requirements for the design of cyber-physical production systems (CPPS)
3.    Modeling of CPPS from an information systems and engineering perspective
4.    Selecting and applying appropriate systems modeling methods and tools according to domain/company/process specific problems
5.    Defining and recognizing CPPS and its associated data-driven processes in operational and management dimensions of a smart factory
6.    Characterizing and mapping “knowledge holders”, “knowledge generators”, “knowledge users” and “knowledge assets” in the context of CPPS
7.    Selecting appropriate methods and/or tools (platforms) of “Data Science” (including machine learning and predictive data analytics) and “Knowledge Engineering” for analyzing data, learning new patterns, and reasoning (including prediction)
8.    Designing the knowledge map of a smart factory (e.g. TU Wien Pilot-Factory) and selecting required data analytics and knowledge engineering methods not only for processing and utilizing CPPS data but also for supporting decision-making processes
9.    Managing all created data throughout the entire live cycle of products and their production environment in a closed information loop (Product Lifecycle Management)
The ultimate goal is to develop advanced competencies in information systems design and knowledge-based analysis, and evaluation as a prerequisite for future increasingly digitalized production systems (cyber-physical production systems), especially for the students of mechanical and industrial engineering.

• Scientific work on ongoing topics.
• Topics will be renewed every semester with the focus on advances in industrial production management.

Methods for systematic literature analysis or data collection. Preparation of analyses and documentation. Application, testing or adaptation of software, coding.

1. Review of the guide "Scientific Work" - To be found under "Documents" of the lecture 330.182 Project Work Production and Logistics Management.
2. Review of the e-lecture "Scientific Papers - briefly explained" - To be found under "Documents" of the lecture 330.182 Project Work Production and Logistics Management. (The review of the e-lecture replaces from now on the attendance of the information seminar "Scientific Work" - the e-lecture reflects the contents of the lecture of the information seminar "Scientific Work"). In order for students to access the documents, they must register for LVA 330.182 Project Work Production and Logistics Management.
3. Submission of a seminar paper.

The positive completition of one lecture of the "Production Information Management" module is mandatory.