Smart Operations and Model-based Maintenance Engineering​ (IAM510)

In the era of industry 4.0, industrial assets need to be engineered and managed in a smart manner. The trend is to build industrial assets that are safe, modular, automated, unmanned, autonomised, monitored, cognitive, predictive and prescriptive, besides being dependable, i.e. reliable, maintainable, and supportable. Such smart industrial assets need another level of maintenance engineering to enable the physical assets to be ready for smart operations. The course starts by enabling the students to gain a comprehensive understanding and hands on the traditional risk-based maintenance approach (based on NORSOK Z-008) and learn basic maintenance engineering tasks. Then, the courses further teach the transition from document-based maintenance engineering into model-based, using the model-based systems engineering approach. Moreover, the course enables students to gain a comprehensive understanding of the transition from the traditional operation and maintenance management into more digitalised and smart operations to manage maintenance workload, manpower, spare parts, and other resources. The course emphasises the "design for" philosophy and develops assets, at the project phase, that are ready for the smart operations at the utilisation phase.


Course description for study year 2023-2024

Facts

Course code

IAM510

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

Offered by
Time table

View course schedule

Content

The course is compiled of five modules.

Module 1 is about risk-based maintenance and model-based maintenance engineering, where requirements, functional, physical, and parametric elements of industrial systems are analyzed, modeled and evaluated.

Module 2 is about the Project execution model, which is used as a work process to design, engineer and build industrial systems with their maintenance programs, and their project stages and decision gates.

Module 3 is about Maintenance Engineering methods, based on NORSOK Z-008, such as technical hierarchy, functional hierarchy, consequence classification, failure mode analysis, system reliability, availability and maintainability evaluation, maintenance task selection, manning study, and spare parts evaluation.

Module 4 is about cost and benefits analysis using analytical and simulation modelling approaches, where capital expenditures (CAPEX), operating expenditures (OPEX), Lifecycle costing (LCC), and potential lifetime benefits (LTB) are evaluated.

Module 5 is about Strategic Maintenance Planning and Digital\Cloud maintenance management systems.

Learning outcome

By completing this course, the students shall gain the following knowledge, skills and competencies:

Knowledge

  • Gain a comprehensive understanding of risk-based maintenance and model-based maintenance engineering, and its four elements: requirements, functional, physical, and parametric elements.
  • Gain a comprehensive understanding of the well-known project execution model used in the industry, and its project stages and decision gates.
  • Gain a theoretical and practical understanding of Maintenance Engineering methods: technical hierarchy, functional hierarchy, consequence classification, failure mode analysis, system reliability, availability and maintainability evaluation, maintenance task selection, manning study, and spare parts evaluation.
  • Gain a theoretical and practical understanding of capital expenditures (CAPEX), operating expenditures (OPEX), Lifecycle costing (LCC), and potential lifetime benefits (LTB).
  • Gain a theoretical and practical understanding of Strategic Maintenance Planning and Digital\Cloud maintenance management systems

Skills

  • Be able to build a model-based maintenance and test concept, covering its four elements: requirements, functional, physical, and parametric elements.
  • Be able to apply the project execution model considering the project stages and decision gates.
  • Be able to perform the Maintenance Engineering methods: technical hierarchy, functional hierarchy, consequence classification, failure mode analysis, system reliability, availability and maintainability evaluation, maintenance task selection, manning study, and spare parts evaluation.
  • Be able to model and estimate capital expenditures (CAPEX), operating expenditures (OPEX), Lifecycle costing (LCC), and potential lifetime benefits (LTB).
  • Be able to set up Strategic Maintenance Plan and handle Digital\Cloud maintenance management systems

General competence

  • Can analyze relevant academic, professional, and research ethical problems.
  • Can work in teams and plan and manage projects.
  • Can apply his/her knowledge and skills in new areas in order to carry out assignments and projects.
  • Can communicate about academic issues, analyses and conclusions in the field, both with specialists and the general public

Required prerequisite knowledge

None

Exam

Project assignment and oral presentation

Form of assessment Weight Duration Marks Aid
Project assignment 9/10 Letter grades
Oral presentation 1/10 Letter grades

The course has an ongoing assessment consisting of a project assignment 90% and an oral presentation 10%.All assessment parts must be passed to achieve an overall grade in the course.There are no re-sit opportunities on the project assignment, if students want to take this part again, they must take the course again the next time the course is lectured.Students who do not attend the presentation cannot expect to take this part again. If there is a valid absence, the student can, by agreement with the subject teacher, complete the presentation at a later date.

Coursework requirements

Obligatory requirements

Assignments, Project Report, Oral Presentation and Open exam.

Obligatory report and presentation based on Group work. An additional individual Oral Assessment if the Report or presentations are not satisfactory.

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

Course teacher(s)

Course teacher:

Jawad Raza

Course coordinator:

Idriss El-Thalji

Head of Department:

Mona Wetrhus Minde

Method of work

Lectures and discussions, workshops, self-study, group work, oral presentations, assignments, real-world projects, and guest lectures.

Overlapping courses

Course Reduction (SP)
Operations and Maintenance Management (OFF510_1) 5

Course assessment

There must be an early dialogue between the course coordinator, the student representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

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