LEARNING OUTCOMES
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.
Credits: 5
Schedule: 10.01.2023 - 21.02.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Esko Niemi
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
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
valid for whole curriculum period:
Lectures, excercises, and examination.
Workload
valid for whole curriculum period:
Lectures 20 h
Computer classes 8 h
Group assignments 60 h
Self study 45 h
Examination 3 h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
4 Quality Education
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring III
2023-2024 Spring IIIEnrollment :
Registration for the course will take place on Sisu (sisu.aalto.fi).