Optimization of Production Systems

  • Credits 5 credits
  • Study location Eskilstuna
  • $stringTranslations.StartDate 2021-01-18 - 2021-03-28 (part time 33%)
  • Education ordinance Second cycle
  • Course code PPU452
  • Main area Product and Process Development

Advance your skills in simulation and optimization!

This course aims to provide knowledge on how different methods can be applied to optimize production systems. We will begin with the concept of optimization theory, and then start building simulation models of production systems. After that, we will practice different methods to optimize production systems.

During the course, you will explore a variety of optimization problems related to production systems. You will gain hands-on experience on modern methods for practically simulating and optimizing production systems. You will collaborate in groups towards applying the gained knowledge on your own production cases through state-of-the-art optimization software.

At the end of the course, you will be equipped with the theoretical knowledge and practical experience to implement optimization techniques on real-world production systems.

The course is given online with no physical meetings during the spring semester 2021.

Kursblad Optimization of production systems

Download short description: Optimization of Production Systems PDFPDF

You will learn to

  • Evaluate the performance of production systems.
  • Develop skills of utilizing state-of-the-art discrete-event simulation software.
  • Apply gained knowledge to solve real-world production optimization problems.
  • Demonstrate ability to communicate and critically assess the findings of optimization related to performance of production systems.

Entry requirements

40 credits in Engineering/Technology and at least 2 years’ experience in full-time employment in a relevant area within industry. In addition English course A/English course 6 is required

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.


The course is given in the spring semester. Application opens mid-September.

Apply to the course

Optimization of Production Systems

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Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus



Stavros Vouros


Post Doc.

Yuanye Zhou



Application information

After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.

Entry requirements

To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.

No academic qualifications?

If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.

Recognition of prior learning means the mapping out and assessment of an individual's competence and qualifications, regardless how, where or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.

If you think your knowledge and competences will qualify you for this course, you will need to upload th following with your application:

  • CV with description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
  • If you refer to work experience, you need to upload an Employers certificate.

If we need more information, we will contact you.


The course is part of the Premium project in which MDH offers courses aimed at giving the industry the competence needed for sustainable and smart production.

For companies that want to collaborate on competence development
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