Examination arrangement

Course content

The course contains the following topics:

- Maintenance management and use of ICT-based maintenance management systems

- Age, block and minimal maintenance strategies.

- Optimizing the interval and level of intervention in models for condition control.

- Digital twins for the maintenance function

- Real-time models for synchronization of operation, operation and maintenance

- Grouping of maintenance tasks, and optimization of strategies for grouping.

- Reliability centred maintenance (RCM).

- Collection and analysis of experience data for use in maintenance management.

- The importance of maintenance in terms of security and reliability for complex systems.

- Use of numerical methods.

Learning outcome

Knowledge:

The student has basic insight into the theoretical basis and practical applications of planning and optimization of maintenance. The knowledge will form the basis for adopting and developing digital solutions within the planning and optimization of maintenance. The theoretical foundation shall form a basis for the development of new models and methods where standard methods are not appropriate.

Skills:

The student

• can recognize a number of standard situations for such planning and optimization
• can develop good reasoning for more complicated situations where planning and maintenance optimization come into play
• can solve specific problems using digital tools.

General competence:

The student understands the maintenance and use of digital solutions as an important element in industrial and commercial systems and in public administration.

Learning methods and activities

The subject is carried out in two sessions, two + three days of lectures, group work and discussions. Great emphasis is placed on discussions and the transfer of experience between the participants.

The first session starts with each student presenting challenges in their own business related to adopting digital solutions in the maintenance area. Different issues will be grouped thematically and illuminated through both collections as far as possible. Between the two collections there are self-studies with reading syllabus, assignments and guidance via the internet. One of the homework assignments must be linked to the problem presented by the student at the start of the assembly. As far as possible, this homework should be solved as group work, where the groups are established based on the common theme presented at the beginning.

For each group, at least one online meeting must be set up between the group participants and subject teacher(s) where the group task is discussed. An online meeting is also set up between all students and subject teacher(s) in the interim period to discuss challenges with the shared homework. An e-Learning program has been developed for the subject. In the lectures, a computer is used to solve math problems that are integrated in the e-Learning. Students must bring their own PC/Mac with MS Excel. All the calculation tasks from the e-Learning have suggested solutions in MS Excel. The training program is largely based on the students solving tasks on the computer. An introduction to Python programming will be given. Allmost all exercises may be solved by Python.

Exercises during the assemblies are solved by two students working together. Students can check their own solutions against the suggested solutions. Many of the practice tasks will also be solved by the subject teacher presenting the solution in a plenary session where clarifying questions are opened. The course is part of NTNU's further education offer, and has a course fee. See NTNU Videre's websites. NTNU Videres hjemmesider

Compulsory assignments

• Exercises

Further on evaluation

The form of assessment can be changed to oral in the event of a re-sit exam.

Specific conditions

Recommended previous knowledge

Basic knowledge in probability calculus. Subject PK6018 Industrial safety and reliability or equivalent prior knowledge.

Required previous knowledge

Admission requirements/prior knowledge requirements/access restrictions: Cf. admission requirements for courses in the master's program In technology management and digital transformation teknologiledelse og digital omstilling..

The subject is restricted to access, and ranking rules apply in accordance with the general part of the study plan.

Course materials

The course has its own website hjemmeside where an eLearning plan is presented. The eLearning forms the course material together with a course compendium.

Credit reductions