Syllabus, Bachelor's level, 1TG285
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Industrial Engineering and Management G1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 4 March 2021
- Responsible department
- Department of Civil and Industrial Engineering
General entry requirements and Mathematics 3b or 3c/Mathematics C
After completing the course, students should be able to:
- define the concepts of customer, quality and process in industrial companies and other organisations
- describe the historical development of the concept of quality
- apply the process perspective, for example using flow charts and block models
- carry out basic process analyses
- give an account of the main values, working methods and tools used in quality technology
- apply the most common working methods in quality technology and quality tools to industrial companies and other organisations
- analyse and give an account of different types of variation and normally distributed quantitative results of processes using basic statistical tools
- describe how the concepts of quality technology, leadership, quality and improvement relate to one another and can support sustainable development
- diagnose the present situation in processes using relevant measures
- apply the process view to different types of processes by establishing basic process management
- apply the quality award method by analysing selected parts of a description of activities based on a model for proactive quality management.
Component 1: Quality technology (6 credits)
Definitions of quality and quality perspectives. Continuous improvement. The history of quality management -- from its origin in industrial activities to other organisations. The cornerstones of proactive quality management. Processes and the process perspective. Different working methods and tools for quality management, such as the seven quality tools, the seven management tools and risk analysis. Basic statistical concepts such as mean, median, variation range and standard deviation. Systematic and random variation. Analyses of normally distributed data using capability and control chart calculations. Normal plot paper and normal distribution table. Customer surveys. Computer-based aids for analysing quantitative data. How leadership, quality and improvement relate to one another and can support sustainable development.
Component 2: Process-based organisational development (3 credits)
Process interaction for description of organisational present and for identification of possibilities for improvement. Measures and measuring points. Advantages and disadvantages of the process view. Description and analysis of processes at operational and organisational level for an industrial company. Process-based organisational development,
Component 3: Quality award models (1 credit)
Models for proactive quality management. The quality award method, dimensions for assessment, basic values, criteria, assessment of description of activities, consensus methodology, feedback report.
Lectures, laboratory sessions, exercises, case studies and report writing.
Component 1: Written examination (4 credits). Written assignment (1 credit). Laboratory sessions (1 credit).
Component 2: Written examination (1 credit). Case studies and written assignment (2 credits).
Component 3: Case studies and written assignments (1 credit).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.
The course cannot be included in a degree together with 1TG231 Introduction to Quality Technology or 1TG232 Quality Development.