Course code MatZ3026

Credit points 2

Modeling of Wood Processing

Total Hours in Course80

Independent study hours80

Date of course confirmation05.01.2016

Responsible UnitDepartment of Wood Processing

Course developers


Henn Tuherm

Dr. habil. sc. ing.

author lect.

Kārlis Pugovičs

Mg. sc. ing.

Prior knowledge

InfT1026, Information Technology

Mate4016, Mathematics I

Mate4017, Mathematics II

MatZ2035, Wood Cutting Processes

Course abstract

Within this course project, students use are using their skills for developing simple mathematical model for wood processing plant and its usage in optimization of its processes.

Learning outcomes and their assessment

Recognize, explain and understand the meaning of modelling and optimization use in manufacturing environment.
Assessment: final presentation.
Develop and adjust mathematical models for simple technological processes.
Assessment: final presentation
Assess parameters to be included in mathematical model based on actual factory, select structure and type of the model, maintain the model and adjust it according to real-life applications.
Assessment: final presentation.

Course Content(Calendar)

1. Structure, usage and properties of virtual factory model.
2. Identification and analysis of factory resources.
3. Identification and analysis of factory resources.
4. Compilation of the mathematical model of manufacturing flow.
5. Compilation of the mathematical model of manufacturing flow.
6. Development of virtual 3D model of a factory.
7. Development of virtual 3D model of a factory.
8. Data integration in factory model.
9. Data integration in factory model.
10. Optimization of technological processes.
11. Optimization of technological processes.
12. Optimization of technological processes.
13. Optimization of technological processes.
14. Data analysis and interpretation.
15. Data analysis and interpretation.
16. Final presentation of the project.

Requirements for awarding credit points

Attendance – not less than 75%.
Grade for the final project.

Description of the organization and tasks of students’ independent work

Total amount of independent work: 80 hours.
Within that, 12 hours are allocated for seminars, 40 – for assignments.
28 hours for literature studies.

Criteria for Evaluating Learning Outcomes

Student is presented with situation report in a factory, upon which, a virtual model of production facility is developed, involving calculations of material flow and other technological processes. On this data and students’ proposals, optimization of flow and other technological processes is done.
Grade consists of the following:
Correct and rational mathematical model - 25%.
Precise and rational 3D model of the factory – 25%.
Correct data integration between mathematical and 3D model – 25%.
Final presentation of the project – 25%.

Compulsory reading

1. Deksnis G. Optimizācija un lēmumu pieņemšana. Daugavpils: Saule, 2007. 133 lpp.
2. Rao S.S. Engineering Optimization: Theory and Practice. Fourth Edition. Hoboken, New Jersey: John Wiley & Sons, 2009. 830 lpp.

Further reading

1. Ustundag, A., Cevikcan, E., Industry 4.0: Managing The Digital Transformation. Springer, 2018. 293 lpp.
2. Walkenbach, J., Microsoft Excel VBA Programming for Dummies. Hoboken, New Jersey: John Wiley & Sons, 2013. 411 lpp.
3. Chopra. A., Huehls, R., SketchUp for Dummies. Hoboken, New Jersey: John Wiley & Sons, 2017. 553 lpp.

Periodicals and other sources

1. Starptautiskie žurnāli "Baltijas koks" un "Baltic Timber Journal" ISSN: 1407-6667.
2. Koka nozares laikraksts "Holz-Zentralblatt" ISSN 0018-3792.
3. Žurnāls "Timber Industry Magazine" ISSN 1740-701X.