Industrial Assets, Modern Uncertainties, and Performance Dynamics (IAM560)

Content

The main content is based on the major changes and critical characteristics of modern industrial assets and engineering infrastructures from a real world perspective. It covers new uncertainties, challenging performance demands in modern industrial environments, and how complex processes influence different types of scenarios, decision settings, and performance indicators, etc., to manage; technical, operational, and overall performance demands of complex industrial assets, engineering infrastructures, systems, and critical processes in modern times.

The simulation engineering or simulation modelling process are utilized in the course for making simulation models (a digital prototype) of a system or process, which can be a process plant, production line, warehouse, transportation system, service centre or other systems. This allows identification of various performance patterns as well as resolving potential challenges and problems proactively. Use of simulation models as a valuable tool for identifying operational layouts and performance strategies is demonstrated, since it is becoming popular and important as a core element of digital twin technologies that has proven economic, societal, and environmental benefits.

Throughout the course, various practical industrial examples are used to emphasise on the real world industrial dynamics and inherent uncertainties of performance, mutual interdependencies to mitigate risks and to enhance value creation, as well as to discuss dilemmas between Industrial assets and performance challenges in modern complex industrial contexts.

Learning outcome

Knowledge

• has knowledge on theories and methods that cover uncertainties, decisions, and performance, relating to modern industrial assets, engineering infrastuctures, systems, and critical processes
• has knowledge and understanding on simulation engineering and simulation modelling processes related to complex industrial contexts based on systems thinking
• can apply knowledge to modern industrial assets, engineering infrastuctures, systems, and critical processes for industrial risk mitigation and value creation purposes
• can analyze professional problems and challenges related to technical and operational processes, decision making, and performance for economic, societal, and environmental benefits.

Skills

• can use relevant methods, techniques, and understanding for research and professional development work relating to modern industrial assets, engineering infrastuctures, systems, and critical processes
• can analyze and deal critically with various sources of information relating to modern industrial assets, engineering infrastuctures, systems, and critical processes and use them to structure and formulate scholarly arguments
• can model, simulate, and analyse performance patterns of given industrial contexts based on sensitive performance features and metrices, using simulation engineering and simulation modelling techniques
• can carry out a limited research or development project under supervision relating to modern industrial assets, engineering infrastuctures, systems, and critical processes and in accordance with applicable norms, standards, and practices.

General competence

• can apply his/her knowledge and skills in new areas in order to carry out professional assignments and projects relating to modern industrial assets, engineering infrastuctures, systems, and critical processes
• can communicate about academic issues, analyses and conclusions in the field in terms of uncertainties, decisions, and performance, relating to modern industrial assets, engineering infrastuctures, systems, and critical processes, both with specialists and the general public.
• can contribute to new thinking and innovation processes for economic, societal, and environmental benefits.

Required prerequisite knowledge

Exam

Coursework requirements

Obligatory presentations based on Groupwork. If the group presentation is not approved, then the student will have the opportunity to deliver an individual report and to have an own oral assessment.

Obligatory requirements must be approved by responsible lecturer within the given deadline.

Course teacher(s)

Course teacher:

Head of Department:

Course coordinator:

Course teacher:

Method of work

Open for

Course assessment

Literature