Siirry suoraan sisältöön

Intelligent Transportation (5 cr)

Code: TLKK2500-3011

General information


Enrollment

20.11.2023 - 14.01.2024

Timing

08.01.2024 - 30.04.2024

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 Purchasing and Logistics Engineering

Teachers

  • Kimmo Lehtonen
  • Juha Pesonen

Groups

  • TLP21S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP23VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP24VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • 11.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 12.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 18.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 19.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 25.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 26.01.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 01.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 02.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 08.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 09.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 15.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 16.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 22.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 23.02.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 07.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 08.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 14.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 15.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 21.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 22.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 28.03.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 04.04.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 05.04.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 18.04.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011
  • 19.04.2024 11:30 - 13:00, Intelligent Transportation TLKK2500-3011

Objective

The object of the course
More than a third of the supply chain costs are created by the last-mile delivery. Transport companies require excellent management to be able to reduce costs, deliver products on time and respond to rapid changes. After this course you will know how transport companies optimize fleet utilization and how to improve product distribution while acknowledging the environmental issues of logistics.

Course competences
This course develops and assesses the following knowhow: Transport Competence, Engineering practice (EA-EC), communication and teamwork.

The learning objectives of the course
The student can optimize routes and usage of transportation vehicles and can use the results of optimization in designing a transportation system. The student knows the methods of solving the last mile problem and understands their importance for the operation of a transport company. In addition, the student understands the environmental impact of the last-mile problem. The student is able to work in a group and produce a logical report.

Content

In this course you will study the following topics:
- Ecommerce distribution systems
- Route planning of a transportation system
- Using of a optimization software in transport planning

Oppimateriaali ja suositeltava kirjallisuus

Described in learning environment.

Teaching methods

Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.

Exam schedules

Assessment is based on learning assignments. This course doesn't have an exam.

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

Avoin AMK: no limits

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (1-2)

1. The student is able to utilize optimization in the design of a transportation system. The student knows the methods for solving the last mile problem and understands how Transport Companies utilize them. The student is aware of the environmental impacts of distribution transport. The student is able to work in a group and produce a logical report.

2. The student is able to utilize optimization in the design of a transportation system. The student knows several methods for solving the last mile problem and understands how Transport Companies utilize them. The student understands the environmental impacts of distribution transport. The student is able to work in a group and produce a logical report.

Arviointikriteerit, hyvä (3-4)

3. The student is able to utilize optimization in designing a transportation system in a versatile manner. The student knows several methods for solving the last mile problem and understands their potential for Transport Companies. The student understands the environmental impacts of distribution transport. The student actively participates in group activities and is able to produce a logically progressive report.

4. The student is able to utilize and apply optimization in a versatile manner for the design of transportation systems. The student knows several methods for solving the last mile problem and understands the potential of their utilization for different industries. The student understands the environmental impact of transportation and storage options on last mile transport. The student actively participates in group activities and is able to produce a logically progressive report.

Assessment criteria, excellent (5)

5. The student is able to utilize and apply optimization in a versatile manner for the design of transportation systems. The student knows several methods for solving the last mile problem and understands how they can be used to improve the efficiency of transportation in different industries. The student understands the environmental impact of transport and storage options on last mile transport and is able to make a sound comparison. The student is active in the group and is able to produce an extensive logically progressive report.

Qualifications

- Global supply chain