Course - Production optimization and control - TPK4191
TPK4191 - Production optimization and control
About
New from the academic year 2024/2025
Examination arrangement
Examination arrangement: School exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| School exam | 100/100 | 4 hours | C |
Course content
Introduction to mathematical modelling for control and optimization of industrial systems. Problem formulation and choice of modelling. Linear, dynamic, non-linear and stochastic programming. Flow and network modelling. Queueing models and Markov chains. Some analytical results and use of discrete event simulation. Monte Carlo simulation. Stochastic inventory models. Reliability and maintenance of the production line. Synchronization of maintenance and production activities. Models and study of digital technologies for control and optimization of cyber physical systems. Digital twin and simulation of industrial systems. Basic control theory (cybernetics).
Learning outcome
Knowledge:
Basic knowledge about mathematical models of dynamic industrial systems. Know important terms like programming for optimization, queueing and Markov chain for control of industrial systems, simulation modelling, and basic control theory (cybernetics). Know what characterize dynamicity in industrial systems, and methods to analyze their behavior and controlling it with digital technologies. Be able to design/synthesize simple cyber physical systems thanks to digital twin and simulation of industrial systems. Be familiar with the most common digital technologies in industrial use.
Skills:
Be able to carry out small development projects independently and contribute actively in larger projects. Know how to control and optimize dynamic industrial systems. Design simple simulation models and digital twins. Have sufficient basic knowledge for more advanced control courses.
General competence:
Communicate about control and optimization-relevant issues both with specialists and the general public. Have conscious attitudes about how to control and optimize industrial systems, both technical and non-technical systems.
Learning methods and activities
Lectures, computer exercises and calculation exercises. There are eight calculation exercises, four of which have to be approved. Also three compulsory computer exercises in two-student groups, using MATLAB, Anylogic and Phyton. The course home page will be updated with summary of the lecture content. In addition, references to optional literature and some models and simple programs.
Compulsory assignments
- Exercises
Further on evaluation
Minimum four calculation exercisesof have to be approved and three computer exercises in two-student groups must be submitted and approved to be able to take the exam. The written exam counts 100 % for the grade.
Mandatory work from previous semester can be accepted by the Department by re-take of an examination if there haven't been any significant changes later.
If there is a re-sit examination, the examination form may be changed from written to oral.
Recommended previous knowledge
Basic knowledge in programming, statistics, probability theory and mathematical modelling.
Course materials
Course compendium to be downloaded from Blackboard. The course has a public home page.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| TPK4161 | 5.0 | AUTUMN 2024 |
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Production and Quality Engineering - Production Management
- Information Technology and Informatics
- Technological subjects
- Economics
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 C INSPERA
-
Room Building Number of candidates - Summer UTS School exam 100/100 C INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"