Opetussuunnitelmat

Objective

In this course, production refers to manufacturing products for the end customer. The course introduces both traditional and modern manufacturing methods and materials related to them. As the material plays an important role in the price formation, manufacturability and usability of the product, you working as an logistics engineer should have a good understanding of the impact of manufacturing methods and materials on costs.

In this course you will learn
- find information on materials and their properties
- know different materials and manufacturing techniques involved to materials
- know different layout types and production strategies
- understand properties of materials and their impact on choices
- apply materials selection and manufacturing technologies

After completing this course, you will have a broad understanding of the terminology of the topics covered in the course. You gain knowledge of the various materials, manufacturing technologies and their potential. You will understand how different materials and manufacturing technologies can be used for real applications. You will have the skills and the ability to search for information about different materials and manufacturing technologies.

Competencies: technological knowledge, engineering practice, communication and team-working.

Learning outcomes:
You will understand the terminology of manufacturing technologies, potential of different materials and their importance. You will manage the key concepts and theories of the topics covered in this course and will be able to apply your prior knowledge to the choice of manufacturing technologies and materials.

Content

The course covers following main themes:
- Lay-out types and production strategies
- Manufacturing technologies (materials, products)
- Different materials – construction and properties
- Material choice and supply chain
- Apply of materials and manufacturing methods

Oppimateriaali ja suositeltava kirjallisuus

Lecture materials related to the course can be found in the course workspace. Relevant open-source online material can also be used.

Supporting book:

Gupta, H.N. 2009. Manufacturing processes
Jawalkar, C. S. 2016. Introduction to basic manufacturing. Oxford, England: Alpha Science International Ltd.

Teaching methods

Course includes lectures, returnable learning assignments and possible laboratory tasks. Course can also include wider project work made with group of students.

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.

AI applications can be used to help, for example:
- Choosing a topic and brainstorming important themes, planning the structure of the work and choosing a research method
- General discussion and guidance on problem areas (“how to proceed…”, “I have the following problem…; what options could there be to solve it” etc.)
- Planning and brainstorming information retrieval [1]
- To check and translate the spelling and grammar of your own text unless the language is the subject of the assessment.

Keep in mind that you are responsible for the content of the text you produce. Make sure that unreferenced thoughts and ideas are your own or generally known. When artificial intelligence is used, for example, to translate text or check spelling, the content of the original text must not change substantially. [2]

AI is not a scientific original source of information. The text it produces is neither correct nor original. Always check the accuracy of the information and refer to the original sources. Remember to follow Jamk’s reporting instructions.

Employer connections

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

Assessment is based on learning assignments.
The possible date and method of the exam will be announced in the course opening information.

Vaihtoehtoiset suoritustavat

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

One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Further information

Grading and total points from the assignments:
50 points = 1
60 points = 2
70 points = 3
80 points = 4
90 points = 5

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (3-4)

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

Assessment 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 he or she has learned.

Qualifications

Materials management