SCM305 Applied Decision Analysis (Autumn 2023)

ECTS Credits:
7.5
Responsible faculty:
Avdeling for logistikk
Campus:
Molde
Course Leader:
Yury Redutskiy
Teaching language:
English
Study level:
{code=LN, name=Foundation courses, level I}
Duration:
½ year
Schedule (TP) Reading list (Leganto)

Table of contents

Contents

The emphasis in this course is on practical problem-solving with Excel and other available software to solve real-life problems in logistics systems management. Some examples of topics addressed in this course include analysis and decision-making in the areas of network design, scheduling, workforce organization, investment planning, profitability analysis. The course also covers real-life aspects relevant to management, such as handling uncertainty, analysis and integration of problem settings, and multi-criteria decision-making.

The course is connected to the following study programs

Recommended knowledge

LOG500 Management Models and Operation Research or a course in Operations Research (OR) equivalents to this LOG500.

Basic knowledge of spreadsheets (Excel) is also an advantage.

Students without knowledge to LOG500 or the like must expect some extra work on their own.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
SCM305N – Applied Management Science. 7.5

The student's learning outcomes after passing the exam

Knowledge
Upon completing this course, the candidate:
• will have broad knowledge of logistical problems and complexity of real-life logistical challenges.
• will have broad knowledge of methods relevant to describing real-life business processes, decision-making, and addressing uncertainty. will be familiar with a variery of aspects of decision-making problems.
• will be familiar with research and development trends in logisitcs and supply chain management.

Skills
Upon completing this course, the candidate:
• will be able to solve real-life problems in the area of logistics with applications such as network design, scheduling, workforce organization, etc. will be able to apply spreadsheet modeling as well as relevant methods and tools for decision support.
• will be able to come up with comprehensive and meaningful suggestions on resolving practical challenges in the given problem areas.
• will be able to communicate the solution proposal and the results of the problem-solving.

General competence
Upon completing this course, the candidate:
• has insight into the complex decision-making aspects in the context of logistics.
• can plan and execute activites supporting decision analysis and decision-making for the given problem context.
• can communicate academic matters such as the choice of theories and methods through any relevant form of communication.

Forms of teaching and learning

The course is taught in the flexible format: in addition to classroom teaching, it will be possible to follow the course online through video lectures and regular online Q&A meetings.

Exam

  • Form of assessment: Portfolio assessment
  • Proportion: 100%
  • Duration: 1 semester
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: All printed and written supporting material

Course evaluation

Throughout the semester, the students will be given three tasks to work on, and for each of those, a written report will need to be prepared. The collection of these reports will constitute the portfolio evaluated at the end of the semester.

Pensum

Pensumoversikt

Last updated from FS (Felles studentsystem) Oct. 14, 2026 4:41:02 AM