Quality and Risk Management (5 cr)

Evaluation scale

0-5

Objective

The students understand the principles and techniques of quality management and are able to apply quality tools to analyze, measure and improve the performance of business and industrial processes. The students learn to cope with uncertainty, estimate the human and other risk in various processes and aim at system safety in operations.
EUR-ACE Transferable Skills: Students must be able to function effectively as a member of a team and demonstrate awareness of quality, risk and safety issues of engineering practice.
EUR-ACE Engineering practice: Student must be able to understand, select and use different quality and risk management techniques, tools and methods.
TELMA: Students are able to manage organizations and serve customers in an international network governed by laws and regulations.

Content

Concept of quality, quality standards, quality tools and techniques, concept of risk, risk assessment, system safety, human factors

Materials

Optima learning environment materials.

Goetsch, Davis. Quality Management for Organizational Excellence, Introduction to Total Quality. Prentice Hall 2010

Munson. The supply chain management casebook. FT Press 2013

Stamatis. Risk Management Using Failure Mode ans Effect Analysis (FMEA). ASQ 2019.

Teaching methods

Course includes lectures and returnable learning assignments.

Assignments are done as independent work. The assignments are described in the course workspace. All assignments are either individual assignments or group assignments (described in course workspace) and their due dates will be confirmed as the course progresses.

Employer connections

Trade fairs, seminars, webinars, etc. that take place during the course can be included in the course. This will be discussed in more detail during the course.

Exam schedules

The possible date and method of the exam will be announced in the course opening information.

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

Lectures 40h
Assignments, independent study and group work 95h

Assessment criteria, satisfactory (1)

Excellent (5): Student has attained an excellent level of course objectives and can apply them into practice in innovative manner.
Very good (4): Student has attained very good level of course objectives and can apply them into practice.
Good (3): Student has gained understanding of course objectives and can utilize them in practice.
Satisfactory (2): Student has gained knowledge of course objectives and can utilize them partly in practice.
Sufficient (1): Student has gained knowledge of course objectives but faces challenges to utilize them in practice.

Qualifications

Knowledge of basic logistics professional studies and probability theory.