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Resumo(s)
A crescente competitividade dos mercados e a necessidade de melhoria contínua da eficiência
operacional têm reforçado a importância da otimização dos processos logísticos,
particularmente nas operações de armazenamento e preparação de encomendas. Neste
contexto, o processo de picking assume um papel fundamental, uma vez que representa uma
das atividades mais críticas e dispendiosas da gestão de armazéns, influenciando diretamente
a produtividade, os custos operacionais e o nível de serviço prestado ao cliente.
O presente trabalho foi desenvolvido no âmbito de um estágio curricular realizado na Rangel
Logistics Solutions, nas instalações da Super Bock Group, tendo como principal objetivo analisar
e identificar oportunidades de otimização na área de picking do armazém. Para tal, procedeuse
à recolha e tratamento de dados operacionais obtidos através do sistema SAP, referentes
aos movimentos de picking e à produtividade dos operadores.
A metodologia adotada incluiu a aplicação da classificação ABC dos SKUs com base na
frequência de visitas, a análise por tipologia de produto, a construção de heatmaps para
representação visual da atividade operacional e a avaliação da complexidade das tarefas
executadas pelos operadores. Estas abordagens permitiram caracterizar os padrões de
movimentação dos produtos, identificar zonas de elevada atividade operacional e compreender
os fatores que influenciam o desempenho do processo de picking.
Os resultados obtidos evidenciam a existência de diferenças significativas na frequência de
movimentação dos SKUs, bem como oportunidades de melhoria ao nível da organização do
layout e da localização dos produtos. A utilização combinada das metodologias aplicadas
permitiu fornecer uma visão detalhada da operação, contribuindo para a identificação de
medidas suscetíveis de aumentar a eficiência operacional, reduzir deslocações desnecessárias
e apoiar a tomada de decisão na gestão do armazém.
Conclui-se que a aplicação de ferramentas de análise de dados e de metodologias de gestão
logística constitui um importante suporte para a otimização das operações de picking,
contribuindo para o aumento da produtividade e para a melhoria do desempenho global da
cadeia de abastecimento.
The increasing competitiveness of global markets and the growing need for continuous operational improvement have reinforced the importance of optimizing logistics processes, particularly in warehousing and order-picking operations. In this context, the picking process plays a crucial role, as it represents one of the most critical and costly activities in warehouse management, directly influencing productivity, operational costs, and customer service levels. This work was developed within the scope of an internship carried out at Rangel Logistics Solutions, operating at the Super Bock Group facilities, with the primary objective of analysing and identifying opportunities for optimization in the warehouse picking area. To achieve this goal, operational data related to picking movements and operator productivity were collected and processed using the SAP system. The adopted methodology included the application of ABC classification of Stock Keeping Units (SKUs) based on visit frequency, product type analysis, the development of heatmaps for the visual representation of operational activity, and the assessment of the complexity of picking tasks performed by operators. These approaches enabled the characterization of product movement patterns, the identification of high-activity operational zones, and a better understanding of the factors influencing picking performance. The results highlight significant differences in SKU movement frequency and reveal opportunities for improvement regarding warehouse layout organization and product allocation. The combined use of the applied methodologies provided a comprehensive view of the operation, supporting the identification of measures capable of increasing operational efficiency, reducing unnecessary travel distances, and enhancing decision-making in warehouse management. It can be concluded that the application of data analysis tools and logistics management methodologies constitutes an important support for the optimization of picking operations, contributing to increased productivity and improved overall supply chain performance.
The increasing competitiveness of global markets and the growing need for continuous operational improvement have reinforced the importance of optimizing logistics processes, particularly in warehousing and order-picking operations. In this context, the picking process plays a crucial role, as it represents one of the most critical and costly activities in warehouse management, directly influencing productivity, operational costs, and customer service levels. This work was developed within the scope of an internship carried out at Rangel Logistics Solutions, operating at the Super Bock Group facilities, with the primary objective of analysing and identifying opportunities for optimization in the warehouse picking area. To achieve this goal, operational data related to picking movements and operator productivity were collected and processed using the SAP system. The adopted methodology included the application of ABC classification of Stock Keeping Units (SKUs) based on visit frequency, product type analysis, the development of heatmaps for the visual representation of operational activity, and the assessment of the complexity of picking tasks performed by operators. These approaches enabled the characterization of product movement patterns, the identification of high-activity operational zones, and a better understanding of the factors influencing picking performance. The results highlight significant differences in SKU movement frequency and reveal opportunities for improvement regarding warehouse layout organization and product allocation. The combined use of the applied methodologies provided a comprehensive view of the operation, supporting the identification of measures capable of increasing operational efficiency, reducing unnecessary travel distances, and enhancing decision-making in warehouse management. It can be concluded that the application of data analysis tools and logistics management methodologies constitutes an important support for the optimization of picking operations, contributing to increased productivity and improved overall supply chain performance.
Descrição
Palavras-chave
Order Picking Optimization Warehouse Management ABC Classification by SKU Product Typology Warehouse Layout Productivity Otimização do processo de picking Gestão de armazéns Classificação ABC por SKU Tipologia de produto Layout do armazém Produtividade