Modeling the rhythm of human work in a simulation project through multiple statistical probability distributions

• Autor(a) principal: Vilela, Flávio Fraga
• Data de Publicação: 2022
• Outros Autores: Leal, Fabiano, Montevechi, José Arnaldo Barra
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Produção Online
• Texto Completo: https://www.producaoonline.org.br/rpo/article/view/4496
• topic: Pace of Work; Computational Validation; Discrete Event Simulation; Ritmo doTrabalho; Validação Computacional; Simulação a Eventos Discretos

Normally, discrete event simulation (DES) projects consider employees as common resources. This considered premise becomes a problem in the modeling of production systems, especially if the process to be modeled presents a high amount of manual work. In this context, this research applies a computational validation method to analyze the outputs of a simulation model when different statistical distributions, represented in four scenarios, are used in the input times. The simulated model was obtained from an assembly line of an electronics company located in the city of Santa Rita do Sapucaí-MG. Therefore, the objective of this research is to define and apply an approach to consider the variation in the pace of human work in DES projects. For this purpose, four scenarios were created, each with their respective distributions. These statistical distributions were generated from the StatFit® tool, which used timed data from the workday in which the assembly line was submitted. As research method, modeling and simulation using real data was used. Finally, the results of the computational validation show that there was validation only for Scenario 3 in all considerations for the level of confidence used in the validation, which corroborates the initial assumptions about the variation in the pace of human work and its influence on the validation of the computational model.