Learning in logistics and operations management using computer based simulation

Abstract

In this study we investigate to what extent computer based discrete event simulation modeling can contribute to students’ learning processes in logistics and production management courses. Our interest in simulation stems from the fact that it is not possible to let students experiment with real logistics and production systems. This is an issue because the complexity and stochastic nature of these systems are inherently difficult to grasp. A potential remedy is to use a discrete event simulation software to create a computer model that can illustrate the dynamics of the system, and allow for experimentation. In our approach we define the learning process in accordance with Kolb’s model for experimental learning. We then use a survey on two different student groups to investigate how they perceive that simulation affects their learning process. Group 1 (students in a logistics course on G2 level) had no prior knowledge of the simulation tool. Group 2 (students in a production management course on Advanced level) had taken at least one course in simulation before. The results indicate that both student groups perceive simulation as a good tool to enhance their learning experience, but Group 2 (with the more senior and experienced students) valued the use of simulation more.