Intralogistics Automation (TLSS2500)

Intralogistics Automation, 5 cr - TLSS2500

Intralogistics Automation (TLSS2500-3004), 09.01.2023 – 19.05.2023,
5 cr (TLS20S1) — Face-to-face + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää luentoja (40 h), ryhmätöitä, vertaisoppimista ja itsenäisiä tehtäviä. (not translated)

Learning materials and recommended literature

Oppimateriaalit ovat saatavilla oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)

Enrollment

01.11.2022 - 05.01.2023
Groups
- TLS20S1
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Seats

0 - 20

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Intralogistics Automation (TLSS2500-3006), 09.01.2023 – 19.05.2023,
5 cr (LOGRAKVERKKO) — Online learning + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää itseopiskelua, ryhmätyötä, vertaisoppimista ja verkko-opintoja. Opintojaksolla suoritetaan useita oppimistehtäviä. Opintojakso ei sisällä kontaktitunteja tai webinaareja. (not translated)

Learning materials and recommended literature

Kuvataan oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)

Enrollment

01.11.2022 - 05.01.2023

Content scheduling

Opintojakso suoritetaan kokonaisuudessaan verkossa. (not translated)
Groups
- LOGRAKVERKKO
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Seats

0 - 5

Assessment methods

Avoin AMK: Ei rajoituksia (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Intralogistics Automation (TLSS2500-3008), 15.08.2023 – 17.12.2023,
5 cr (ZJA23KTMJ) — Face-to-face + -
Language of instruction

Finnish

Timing

15.08.2023 - 17.12.2023

Lecturer(s)

Juha Pesonen

Planned learning activities, teaching methods and guidance

Opintojakso sisältää luentoja (8h), ryhmätöitä, vertaisoppimista ja itsenäisiä tehtäviä. (not translated)

Learning materials and recommended literature

Oppimateriaalit ovat saatavilla oppimisympäristössä. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Arviointi suoritetaan harjoitustöiden ja oppimistehtävien perusteella. Opintojaksolla ei ole tenttiä. (not translated)

Learning assignments and student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h. Kuormitus jakautuu eri tavoin opintojakson toteutustavasta riippuen. (not translated)
Groups
- ZJA23KTMJ
Alternative learning methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opntojakson erityiskäytänteistä. (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
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The object of the course
Utilization of automation plays an important role in ensuring the quality and efficiency of internal logistics. The automation market is expected to triple in logistics field between 2020 and 2027. After this course you will understand the importance, potential and applications of automation in internal logistics. You will also be able to design an automation system and analyze the benefits and weaknesses of the used technologies. In addition, you will be able to compare the technologies you are using with simulation.

Course competences
This course develops and assesses the following competences: Internal logistics, Knowledge and understanding (EA-KW), Engineering practice (EA-EC) and communication and team work.

The learning objectives of the course
You understand the applications of the technologies used to automate internal logistics and can choose the most appropriate technologies for your application. You will be able to compare solutions using simulation and you will understand what kind of process automation is suitable for. You will be able to work as a member of a group, participate in making learning assignments and reporting, and independently search for material.

In this course you'll study
- Technologies used in automizing internal logistics
- Automatic storage and retrieval systems
- Simulation of automation systems

- Logistiikan simulointi
- Intralogistics (not translated)

0-5

1. The student understands the importance of automation in internal logistics and its applications. The student can make simple simulations of automation systems and is able to choose the best solution to the problem. The student can design an automation system on a general level. The student is working as part of a group and is capable of independent information retrieval.

2. The student understands the importance of automation in internal logistics and its applications. The student can make simple simulations of automation systems and is able to compare technologies through simulation and calculus. The student can design an automation system on a general level based on given starting values. The student is involved in the group's daily activities and is capable of independent information retrieval.

3. The student understands the importance of automation in internal logistics and its applications. The student can make reliable simulations of automation systems and comparisons between technologies. Based on given starting values the student can create solutions and compare them. The student can design an automation system. The student is actively involved in the activities of the group and can conduct versatile information searches.

4. The student understands the importance of automation in internal logistics and its applications. The student can make versatile simulations of automation systems and comparisons between technologies. The student can analyze given starting values and alternative solution models and is able to make a versatile design of the automation system. The student actively participates in group activities and can carry out versatile information searches.

5. The student understands the importance of automation in internal logistics and its applications. The student can make extensive simulations and comparisons between technologies and automation systems. The student can analyze given starting values and alternative solutions and is able to make a detailed plan of the automation system. The student actively participates in group activities and can carry out extensive information searches.

Intralogistics Automation, 5 cr - TLSS2500

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