TLOG2009 - Optimization of Logistics Systems


Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours E

Course content

The subject's position and function in the study:

The subject is compulsory in the 1st year, 2nd semester of the study program INGLOG (Program subject basis subject 2), and should concretely contribute to providing a basic understanding of optimization, and skills in modeling and optimizing key issues in logistics, e.g. production planning, transport planning, capacity and resource planning.

Academic content

  • Linear programming and optimization;
  • Integer programming
  • Network models
  • Optimization problems arising in logistics systems;
  • Non-linear models with a focus on problems from logistics;
  • Forecasting models, demand forecasting

Learning outcome

Knowledge: The course will convey the following knowledge to the candidate

  • General knowledge of linear programming (LP) and optimization
  • Specific knowledge of the use of LP and optimization for key issues within logistics, e.g. production planning, capacity and resource planning, transport and distribution networks
  • Specific knowledge of integer programming
  • Specific knowledge of solving/optimizing non-linear systems
  • Specific knowledge of forecasting and demand management

Skills: The candidate must be able to:

  • Build models for various logistics-related problems such as production planning, capacity and resource planning, transport and distribution planning, and find an optimized solution.
  • Build models and find optimized solutions with integrality restrictions.
  • Build models and find optimized solutions for non-linear issues in logistics and value chain management, e.g. order quantity or facility location.
  • Carry out forecasting for demand and sales data with seasonal variations

General skills: The candidate must be able to

  • Understand the role of optimization from an economic and logistic perspective
  • Apply optimization in logistics and value chain management in general and in particular with regard to the new developments in the digitization era.
  • Understand the ethical values ​​of Scientific Management in general, and for the optimization discipline in particular.
  • Understand the role of optimization and planning discipline and its contribution to a more sustainable future in logistics operations in general.

Learning methods and activities

PC-based lectures and exercises. Lectures will be through the usage of PC and interactive with the class. Individual exercises with submission.

Compulsory assignments

  • Exercise

Further on evaluation

Written digital school exam.

Compulsory work: 6 exercises. 5 must be passed in order to sit for the exam.

Compulsory activity from previous semesters can be approved by the department.

The continuation exam can be changed to an oral exam.

Specific conditions

Admission to a programme of study is required:
Logistics - Engineering (FTHINGLOG)

Course materials

1) Textbook: Practical Management Science, Winston & Albright, 6th edition, Cengage Learning, 2018.

2) Lecture Notes, Handouts

More on the course



Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of Industrial Economics and Technology Management


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 E INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 E INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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