Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
After the course the student:
- Knows the basics of manufacturing systems and process modelling using queuing theoretical, mathematical programming (optimization), and data modelling (linear regression, neural networks) approaches.
- Knows basic concepts of production planning and control and is familiar with the practical approaches and more theoretical analysis methods related to them.
- Is able to do basic modelling of manufacturing systems, especially in the context of production planning and control, using the am. methods with the following software: Microsoft Excel Solver and OPL/CPLEX (optimization) and Matlab (data modelling).
- Is able to do systematic experimentation with the am. models and interpret the results.
- Is able to participate in an industrial scale development project that utilizes the am. methods.
Schedule: 12.01.2021 - 23.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Esko Niemi
Teacher in charge (applies in this implementation): Esko Niemi
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
The following methods are studied: queuing networks, optimization, regression analysis, and neural networks. The application of the methods to production systems planning and control: Hierarchical production planning, cost functions, Little's law, scheduling, lot sizes and set-ups, capacity planning, aggregate planning, facility location. The basics of the methods and software are learned in guided tutorials (computer classes) and exercises (assignments).
Assessment Methods and Criteria
Lectures, excercises, and examination.
Lectures 20 h
Computer classes 8 h
Group assignments 60 h
Self study 45 h
Examination 3 h
Factory physics: foundations of manufacturing management / Wallace J. Hopp, Mark L. Spearman.
Design and analysis of lean production systems / Ronald G. Askin, Jeffrey B. Goldberg.
Planning and scheduling in manufacturing and services / Michael L. Pinedo.
Substitutes for Courses
The course can be sustituted by:
Kon-15.4198 Modelling Methods in Production Engineering and Kon-15.4199 Production Control in Machine Shops.
MEC-E1080 Production Engineering.
- Teacher: Esko Niemi