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

The Course has a main focus on practically important technical themes within Industrial assets and engineering infrastructures, modern uncertainties and dynamics that they are exposed to, as well as decision making and performance under modern complex industrial conditions. The course has a more practical approach with various real world examples from many industrial sectors where assets, systems, and critical processes are continuously exposed to new industrial demands, modern performance challenges and new uncertainties due to new industrial forces, for instance industrial transformations, digitalization processes, societal and environmental impact, and sustainability concerns, etc. The course also covers simulation modelling and digital twin technology at the asset level (for example, entire production or service system) to enable and support more data-driven and model-based decisions based on a better understanding of complex performance dynamics of industrial assets and systems through various practical industrial scenarios.

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.

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.

Ingen

Presentation in groups

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.

Lectures and discussions. Interactive groupwork. Presentations. Reports and Oral assessment when necessary.

Admission to Single Courses at Master Level at the Faculty of Science and Technology

Exchange programme at The Faculty of Science and Technology

Must meet the admission requirements of one of the study programmes the course is open for.

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Book Asset management : whole-life management of physical assets Lloyd, Chris, London, Thomas Telford/ICE Publishing, XXII, 242 s., 2010, isbn:978-0-7277-3653-6, Chapter: Woodhouse, J., 2010, Asset management: The way forward, pp 201-221 E-book Physical Asset Management Hastings, Nicholas A. J, Springer Verlag London Limited, 2010, isbn:1848827504, Chapter: Hastings, N.A.J., 2010, The Asset Management Function, pp 13-26 View online E-book Asset Management [electronic resource] : The State of the Art in Europe from a Life Cycle Perspective Van der Lei, Telli.; Herder, Paulien.; Wijnia, Ype., Dordrecht :, Springer Netherlands ; Imprint Springer, 1 online resource (175 p.), 2012., isbn:1-280-39799-3; 94-007-2724-0; 9786613575913,

Chapter 4: Komonen, K., Kortelainen, H., Raikkonen, M., Corporate Asset management for Industrial companies: An integrated business driven approach, pp 47-63.

View online Book Value networks in Manufacturing, Sustainability and Performance excellence Liyanage, J.P., Uusitalo, T., (ed), isbn:978-3-319-80219-0 (eBook 978-3-319-27799-8),

Chapter 1 (pages 3-13): Living with complexities and uncertainties

View online Book Handbook for productivity measurement and improvement Christopher, William F.; Thor, Carl G., Portland, Or., Productivity Press, 1 b. (flere pag.), c1993, isbn:1563270072,

Chapter: Campi, J.P., 1993, Breaking the paradigm of performance measurement, pp 8-4.1 – 8-4.11 

Book Performance measurement & control systems for implementing strategy : text & cases Simons, Robert, Kaplan, Robert S.; Dávila, Antonio, Upper Saddle River, N.J., Prentice Hall, XII, 780 s., c2000, isbn:0132340062; 0131225103, Chapter: Simons, R., 2000, Organizational tensions to be managed, pp 3-15 E-book The triple bottom line : how today's best-run companies are achieving economic, social, and environmental success--and how you can too Savitz, Andrew W., Weber, Karl,, San Francisco, California :, Jossey-Bass, 1 online resource (354 p.), 2014., isbn:1-118-33037-4; 1-118-33317-9, Chapter: Savitz, A.W., Weber, K., 2006, The sustainability sweet spot, pp 21-39 View online Book Encyclopedia of information science and technology Vol. 7 R-S Khosrowpour, Mehdi, Hershey, Pa., Information Science Reference, CVIII, s. 3199-3656, 29 s., Vol. 7, c2009, isbn:9781605660264, Chapter: Liyanage, J.P., Langeland, T., 2009, Smart assets through digital capabilities, pp 3480-3485 E-book Asset Management [electronic resource] : The State of the Art in Europe from a Life Cycle Perspective Van der Lei, Telli.; Herder, Paulien.; Wijnia, Ype., Dordrecht :, Springer Netherlands ; Imprint Springer, 1 online resource (175 p.), 2012., isbn:1-280-39799-3; 94-007-2724-0; 9786613575913,

Chapter 2: Liyanage, J.P., 2012, Smart engineering assets through strategic integration: Seeing beyond the convention, pp 11-27.

View online Book Decision making in Systems engineering and management Patrick J. Driscoll, Gregory S. Parnell, and Dale L. Henderson , India, John Wiley, xxix, 540 sider, 2022, isbn:9781119901402,

Chapter 1 : Driscoll, P.J., Parnell, G.S., Henderson, D.L., 2023, Working with Systems, pp 1-48

E-book Scenario Planning - Revised and Updated: The Link Between Future and Strategy Lindgren, Mats ; Bandhold, H, London, Palgrave Macmillan UK, 2009, isbn:9780230579194,

Chapter (pp 22-34) : Lindgren, M. Banhold, H., 2009, Scenario planning: An introductory overview.

View online Book The Big book of simulation modeling : multimethod modeling with AnyLogic 6 Borshchev, Andrei, [Lisle, Il.], Anylogic North America, 612 s., 2013, isbn:9780989573177, Book Business dynamics : systems thinking and modeling for a complex world Sterman, John D., Boston, Irwin McGraw-Hill, XXVI, 982 s., cop. 2000, isbn:0072311355; 0072387378; 9780071179898, Book The fifth discipline : the art and practice of the learning organization Senge, Peter M., New York, Currency/Doubleday, XVIII, 445 s., c2006, isbn:0385517823; 9781905211203; 1905211201; 9780385517256, Article Digital Twin: Enabling Technologies, Challenges and Open Research Fuller, Aidan; Fan, Zhong; Day, Charles; Barlow, Chris, Piscataway, NJ :, Institute of Electrical and Electronics Engineers,, IEEE access : practical innovations, open solutions., 8, 2020; 2013-, 108952-108971, Article State‐of‐practice survey of model‐based systems engineering Huldt, T; Stenius, I, [New York, N.Y.] :, John Wiley & Sons,, Systems engineering : the journal of the International Council on Systems Engineering., 2, 22, 2019-03; ©1998-, 134-145, Report DNVGL-RP-A204: Qualification and Assurance of Digital Twins. DNV GL, View online

The course description is retrieved from FS (Felles studentsystem). Version 1