course-details-portlet

TLOG2011

Logistics Systems and Simulation Modeling

Choose study year

Assessments and mandatory activities may be changed until September 20th.

Credits 7.5
Level Intermediate course, level II
Course start Spring 2026
Duration 1 semester
Language of instruction Norwegian
Location Trondheim
Examination arrangement Aggregate score

About

About the course

Course content

Module 1: Introduction to Logistic Systems, Automation, and Digitalization

  • Overview of Logistic Systems
  • Automation in Logistics Systems
  • Digitalization in Logistics
  • Case Studies

Module 2: Stochastic Simulation and Inventory Management under Uncertainty

  • Introduction to stochastic spreadsheet simulation
  • Inventory management under uncertainty - policies and performance metrics
  • Simulation modeling of inventory management systems

Module 3: Discrete Event Simulation of Logistic Systems

  • Introduction to advanced computer simulation, and digital twin technology
  • Introduction to Discrete Event Simulation (DES) & simulation software
  • Simulation modeling and analysis of the logistics systems

Learning outcome

This is a specialization course in the 4th semester of the INGLOG study program. The course consists of three modules:

Knowledge:

After completing the course, the candidate will have specific knowledge about:

  • Logistical systems, automation, and digitalization of such systems
  • Inventory management under uncertainty, various policies, and their simulation
  • Safety Stock, Service Level, and Fill Rate
  • Simulation of a real logistical system using DES software.

Ferdigheter:

After taking the course, the candidate will be able to

  • understand various logistical systems, automation, and digitalization technologies in logistics
  • evaluate the automation of a logistical system, or apply a digitalization technology
  • build simulation models for inventory management under uncertainty, and analyze the obtained results
  • build and run a DES model for a simple production or warehouse system by using a software

General competence

After taking the course, the candidate will have a good understanding of

  • innovation and innovative thinking
  • Systems Thinking, and problem-solving

Learning methods and activities

Lectures, exercises, simulation laboratory, semester project.

Compulsory assignments

  • Exercises
  • Exercises

Further on evaluation

In order to improve the final grade all parts must be taken again.

Re-sit school exam may be changed to oral exam.

Specific conditions

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

Course materials

Will be specified at semester start.

Subject areas

  • Engineering
  • Engineering Subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Industrial Economics and Technology Management