Integrated Simulation and Hierarchical Methods Applied to the Implementation of Lean in Production Systems

This study develops and implements a tool to support Lean practices through simulation integrated with a hierarchical approach, using the More-Hodgson algorithms and Genetic Algorithm (GA). The approach assesses the impact of Lean practices on the performance of a textile manufacturing system, focusing on material handling and setup time. Discrete Event Simulation (DES) is used to test scenarios, optimize decisions, and evaluate improvements. Integrated with hierarchical methods and GA, DES supports production sequences to reduce waiting and setup times. Applied in a case study at a raffia packaging factory, the tool optimizes operational management decisions by introducing new equipment and scheduling strategies to improve material handling and setup processes.