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Quality and Risk Management (5 cr)

Code: TLBC2500-3004

General information


Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages

  • English

Seats

0 - 20

Degree programmes

  • Bachelor's Degree Programme in Logistics

Teachers

  • Anna Hintikka

Teacher in charge

Pasi Poutiainen

Groups

  • TLS20S1
    Bachelor's Degree Programme in Logistics

Objectives

As an engineer you need to understand that quality and risk management are key business processes. Quality management is the responsibility of everyone in companies. Quality management follows across organizational boundaries, throughout the supply chain and should be managed on a larger scale. Measuring, analyzing, and continuously improving quality, affects customer satisfaction, business productivity, and, at the same time, profitability. Risk management in companies is a wider concept that includes the whole process of identifying the risks of different processes, from anticipation to risk minimization. By managing risk management, companies can proactively react or prepare for risks and thereby minimize inconvenience.

In this course you will learn
- understand the principles and techniques of quality management
- understand the quality concepts of companies
- identify terminology for quality and risk management
- identify and apply various quality and risk management tools
- identify different quality and risk management standards
- perform simple quality cost calculations and risk assessments

After completing this course, you will understand basic principles and techniques of quality management. You will be able to apply quality tools to measurements, analysis and improvement the financial performance of your company. You will learn how to deal with unstable environments and get tools to assess personal and other risks in different business processes. You will also learn to guide safe operations for both individuals and companies.

Competences: business knowledge, multidisciplinary competences.

Learning outcome:
You will understand the terminology of quality and risk management and their relevance to your future work area. You will be familiar with key concepts, tools and theories of quality and risk management.

Content

The course covers following main themes:
- Concept of Quality
- Quality tools & techniques
- Concept of Risk Management
- Risk Management tools & techniques
- Standards

Learning materials and recommended literature

E-learning environment material and the following course book:
Goetsch, David L.; Davis, Stanley B. Quality Management for Organizational Excellence, Introduction to Total Quality. Prentice Hall 2010

Supporting material(s):
Stamatis. Risk Management Using Failure Mode ans Effect Analysis (FMEA). ASQ 2019.
De Feo, Joseph A. Juran's quality handbook : the complete guide to performance excellence. 2017. 7th edition

Teaching methods

The course is implemented as contact teaching, in addition to which it includes learning assignments and an exam.

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.

Exam dates and retake possibilities

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

Alternative completion methods

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

The calculated workload is the number of credits times 27 hours.
In the 5 credit course, the workload is 135h.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

1: Student has gained knowledge at all the subjects described in the learning outcomes.

2: Student has gained knowledge at all the subjects described in the learning outcomes and is able to can utilize this knowledge.

Evaluation criteria, good (3-4)

3: Student understands all the subjects described in the learning outcomes and is able to apply the skills one has learned.

4: Student has attained an excellent level in almost all the subjects described in the learning outcomes and is able to apply the skills one has learned.

Evaluation criteria, excellent (5)

5: The student has attained an excellent level in all subjects described in the learning outcomes and is able to apply the skills one has learned.

Prerequisites

Previous engineering studies.