Proposta de implementação de um sistema Kanban para gestão de estoques em um negócio de montagem de computadores

Abstract

The present work aims to propose the implementation of a Kanban system for inventory management in a computer store focused on assembling and selling computers. The hardware sector faces high price volatility and component shortages driven by the global demand for artificial intelligence, requiring strict logistical control from companies to avoid stockouts and excessive capital immobilization. The adopted methodology consisted of a quali-quantitative case study, based on the analysis of eighteen months of operational data from the establishment. The ABC Curve was used to classify components by financial representativeness, prioritizing class A and B items. Based on the calculation of average demand, lead time, and safety stock, a visual Kanban board was structured, divided into ideal condition, attention, and urgency zones. To validate the proposal, operational simulations were carried out testing scenarios of demand peaks and delays from international suppliers. The results demonstrated that the proposed model acts as an efficient predictive alert mechanism, allowing to anticipate the depletion of critical parts. It is concluded that the transition from reactive control to a pull system, based on lean manufacturing principles, optimizes the allocation of working capital, reduces logistical waste, and ensures the operational continuity of the business.