course-details-portlet

PK8207

Maintenance Optimisation

Choose study year

Assessments and mandatory activities may be changed until September 20th.

Credits 7.5
Level Doctoral degree level
Course start Spring 2026
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Assignment

About

About the course

Course content

The course is lectured every second year. Next time is spring 2026. The focus is decided according to participants needs among these topics: Maintenance management. Age, block, and minimal repair policies. Optimisation of intervals and intervention level in condition monitoring models. Optimum grouping of maintenance activities. Spare part optimisation. Opportunity based maintenance. Reliability centered maintenance. Optimisation of renewal. Data collection and analysis for use in maintenance management. Data driven prognostic and predictive maintenance (often a main focus). Influence of maintenance on safety and reliability for complex systems. Use of numerical methods.

Learning outcome

Knowledge:

Basic insight into the theoretical foundation and practical applications of maintenance optimization. The theoretical foundation shall form a basis for development of new models and methods within maintenance optimization

Skills:

Recognising standard situations related to such maintenance optimisation, and be able to develop reasoning for more complicated situations. Solve optimization problems in practice. Assess RAMS performance for systems.

General competence:

Understand RAMS as an important cornerstone of industrial and commercial systems and in the public administration.

Learning methods and activities

Lectures, project work and exercises. In the lectures we will actively use personal computers to solve optimisation problems. Reccomeneded programming language is Python, but other languages can also be used.

Further on evaluation

Assessment is a paper. The paper is presented at the last seminar, and the participants will afterwards deliver the final paper for assessment according to the agreed deadline.

Required previous knowledge

All students taking this course must be enrolled in a ph.d program at NTNU or a different university.

Course materials

Selected papers and book chapters. Specific course compendium.

Credit reductions

Course code Reduction From
TPK5155 3.7 sp Autumn 2007
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Energy and Process Engineering
  • Safety, Reliability and Maintenance
  • Transportation Engineering
  • Marine Topics

Contact information

Course coordinator

Department with academic responsibility

Department of Mechanical and Industrial Engineering

Examination

Examination

Examination arrangement: Assignment
Grade: Passed / Not Passed

Ordinary examination - Spring 2026

Assignment
Weighting 100/100 Exam system Inspera Assessment