Aplicação da curva de aprendizado e esquecimento no planejamento e programação da produção em uma indústria metalúrgica

Abstract

The learning curve, essential in management and production, visually represents the temporal relationship with performance in a task. This study aims to broaden understanding by incorporating forgetting, a dimension scarcely explored in previous studies. The inherent complexity in production planning and control results from the interaction of various variables throughout the production process. With the purpose of reaffirming the LFRCM model to enhance support for Production Planning and Control (PPC), this research proposes the application of the model, integrating the concepts of learning, forgetting, and relearning, within a metallurgical industry. The LFRCM model, through learning and forgetting, establishes post-interruption production times by applying the principle of relearning. The results demonstrate that LFRCM emerges as a reliable tool, enabling PPC to conduct more efficient resource management, promoting operational optimization. The inclusion of forgetting as a relevant variable provides a broader view of temporal dynamics, contributing to improved operational efficiency in complex industrial environments. This integrated approach to operational knowledge management substantially contributes to theoretical and practical advancements in the field of PPC.