Simulation of productive processes using Lego® blocks for application of the concepts of integrated production management

  • Gustavo Lopes Olivares UFRRJ
  • Eduardo de Oliveira Ormond
  • Raphaela Pereira Rangel
Keywords: Methodology, Experiential learning, Industrial simulation, Production management, Integration of processes

Abstract

Goal: This article describes a simulation exercise based on the premises of the experiential learning approach, using Lego® blocks to build a production plant model. Design / Methodology / Approach: The simulation was applied to groups of 4 to 6 participants, enrolled in production management or similar classes. Results: The use of this approach promoted a learning environment with greater interaction and stimulated the students to put their reasoning, decision-making and communication skills into practice. Limitations of the investigation: Because the simulation is only a representation of reality, it can generate some generalization, and since it is a controlled experiment, all the variables are known in advance. Therefore, the practices using the simulation should be discussed and contrasted with real-world practices after application of the method. Practical implications: This simulation enables examining themes such as inventories, supply chains, production planning and scheduling, layout, MRP, and mainly integration of organizational processes in practice, promoting hands-on experience. Originality / Value: The reports of the participants indicated a positive impact of the proposed simulation, by stimulating the development of skills and capabilities for their training as future managers.

Author Biographies

Eduardo de Oliveira Ormond

Mestrado Profissional em Gestão e Estratégia - UFRRJ

Raphaela Pereira Rangel

Mestrado Acadêmico em Administração - UFRRJ

Published
2020-09-29
How to Cite
Olivares, G., Ormond, E., & Rangel, R. (2020). Simulation of productive processes using Lego® blocks for application of the concepts of integrated production management. Brazilian Journal of Operations & Production Management, 17(3), 1-11. https://doi.org/https://doi.org/10.14488/BJOPM.2020.036