About this course

Road network planning and profitability calculations, development of annual mill supply plans, business relationships with logging and transport contractors, planning and management of timber production and transport, coordination of wood supply from forest to industry.

Learning outcome

Knowledge

The student shall be able to 1) describe and apply relevant principles and methods for road network planning in varying terrain conditions with corresponding profitability calculations, 2) describe key principles for developing business relationships with harvesting- and transport contractors 3) use effective methods for planning and management of production and transport of timber and 4) organize coordination of wood flows from forest to industry.

Skills

Students shall be able to do production- and transport planning in a common spreadsheet such as EXCEL.

General competence

The student shall be able to analyze wood supply chain management performance and identify improvement potentials.

  • Learning activities

    Exercises, litterature assignments, lectures and excursions.

  • Teaching support

    Discussion/follow-up of exercises with instructurs and concluding gjest lectures from sector representatives (per module). Course administration is supported by Canvas and e-mail.

  • Syllabus

    Research articles and sector standards (provided at course start, distributed via canvas)

  • Prerequisites

    SKOG240 or equivalent.

  • Assessment method

    Total assessment consisting of

    • Written exam (3,5 hours) counts 50 %.
    • Portfolio with assignments counts 50 %.

    Both must be passed for passing the exam.



    Written exam Karakterregel: Letter grades Hjelpemiddel: B1 Calculator handed out, no other aids Portfolio Karakterregel: Letter grades

  • About use of AI

    Written exam: K1 - No use of AI

    Portfolio: K3 - Full use of AI.

    The use of AI is permitted, but it must comply with the Guidelines for Use of Artificial Intelligens (AI) at NMBU.

    Mandatory activity: K3 - Full use of AI.

    The use of AI is permitted, but it must comply with the Guidelines for Use of Artificial Intelligens (AI) at NMBU.

    Descriptions of AI-category codes.

  • Examiner scheme

    External examiner assesses all exam papers.

    The portfolio consisting of exercises is assessed by an internal examiner.

    Exercises, literature seminars and excursions approved by instructors.

  • Mandatory activity

    Excursions must be passed, oral presentations and discussions around literature seminars and exercises.

  • Teaching hours

    24 lecture hours, 48 hours labwork/litteratur seminarer, 2 excursion days

  • Admission requirements

    Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)

    7,5 p forest engineering at bachelors level (NMBU (SKOG240), INN-Evenstad (6EV107, or SKO2022 and SKO2203) or equivalent).