Siirry suoraan sisältöön

Intelligent Transportation (5 cr)

Code: TLKK2500-3017

General information


Enrollment
18.11.2024 - 09.01.2025
Registration for the implementation has ended.
Timing
13.01.2025 - 30.04.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
English
Seats
20 - 36
Degree programmes
Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
Juha Pesonen
Kimmo Lehtonen
Groups
TLP22S1
Bachelor's Degree Programme in Purchasing and Logistics Engineering
TLP25VK
Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
TLP24VS
Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Course
TLKK2500

Materials

Described in learning environment.

Evaluation scale

0-5

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.

Further information

Avoin AMK: no limits

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.

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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.

Exam schedules

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

Teaching language

en

Teaching methods

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

Number of ECTS credits allocated

5

Qualifications

- Global supply chain

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

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.

Siirry alkuun