Scientific Theory and Manufacturing Engineering Methods
Overall Course Objectives
The course aims to develop the participants’ awareness of methods to solve complex manufacturing problems. This will include the ability to work with both quantitative and qualitative methods.
Learning Objectives
- Explain the key theoretical concepts and methods from a Scientific point of view
- Explain and use appropriate methods and techniques for problem analysis and problem identification
- Explain the purpose and content of the problem formulation process and implement this in practice
- Formulate and argue for specific survey questions and analysis based on the problem statement
- Identify and select engineering theory and methods and other information that can be used to solve described problems. In relation to this evaluate the relevance and reliability of proposed studies and analyzes.
- Choose and argue for relevant study design and be able to justify the choice of techniques for data collection, data analysis and data interpretation.
- Use quantitative methods to analyze manufacturing engineering problems. Both single criteria and multicriteria methods
- Assess the relevance and reliability of the proposed studies and analyzes and perform relevant statistical analysis.
- Describe and evaluate existing technical concepts for operations in terms of possibilities and limitations and in terms of their relation to various scientific methodologies.
Course Content
The course includes theory and methodology for production engineers.
– Introduction to relevant scientific theoretical basic concepts and models
– Scientific argumentation technique and fundamental forms of reasoning
– Generality, representativeness and forecasting ability of scientific knowledge
– Introduction to methodology of natural sciences, humanities, social sciences and
technology.
– Application of theory and techniques of problem identification and problem analysis
– Quantitative analysis methods and techniques
– Qualitative analysis methods, interviews, observations, etc.
– Selection of study design, including choice of data collection and
data processing methods
– Existing operating technical concepts and analytical methods
– Assessment of validity and reliability of studies and analysis
– Special quantitative analysis: Frequency studies, Reliability, Multicriteria decision analysis,
Statistical analysis and Forecasts
Teaching Method
Class sessions, group assignments and case based tasks will be included.
Faculty
Remarks
Research group: Production, Transportation and Planning
Produktion: 4. semester
This course is highly related to course 62120. Methods from the course are used in the project in course 62120.
Limited number of seats
Maximum: 40.
Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.