• Intelligent Transportation (TLKK2500-3007),
         09.01.2023 – 19.05.2023,  5 cr  (TLP20S1, ...) — Face-to-face +-
    Learning outcomes of the course
    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.
    Prerequisites and co-requisites
    - Logistiikan maailma
    - Projektilogistiikka
    Course contents
    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
    Assessment criteria
    Assessment criteria - grade 1 and 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.
    Assessment criteria - grade 3 and 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 - grade 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.
    Language of instruction

    English

    Location and time

    Face-to-face

    Planned learning activities, teaching methods and guidance

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

    Lecturer(s)

    Juha Pesonen

    Learning materials and recommended literature

    Described in learning environment.

    Lecturer(s)

    Juha Pesonen, Kimmo Lehtonen

    Campus

    Main Campus

    Exam dates and re-exam possibilities

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

    Timing

    09.01.2023 - 19.05.2023

    Learning assignments and 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.

    Enrollment

    01.11.2022 - 05.01.2023

    Groups
    • TLP20S1
    • TLP22VS
    • TLP22VK
    Alternative learning 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.

    Seats

    0 - 20

    Assessment methods

    Avoin AMK: no limits

    Degree Programme

    Bachelor's Degree Programme in Purchasing and Logistics Engineering

    Mode of delivery

    Face-to-face

    Credits
    • 5 cr
    Unit

    School of Technology