Mecanismo para auxiliar operadores na coleta/separação de pedido

• Ano de defesa: 2023
• Autor(a) principal: Barreto, Clarice Gonçalves
• Orientador(a): Carneiro, Marcos Lajovic
• Banca de defesa: Rodrigues, Clóves Gonçalves , Araújo, Sérgio Granato de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica de Goiás
• Programa de Pós-Graduação: Programa de Pós-Graduação STRICTO SENSU em Engenharia de Produção e Sistemas
• Departamento: Escola Politécnica
• País: Brasil
• Palavras-chave em Português: Coleta e separação de pedidos; Armazém; logística; Tecnologia 4.0.
• Palavras-chave em Inglês: Order Picking; Warehose; .; Logistics; Technology 4.0
• Área do conhecimento CNPq: Engenharias; Engenharia de Produção
• Link de acesso: http://tede2.pucgoias.edu.br:8080/handle/tede/5083

With the rise of e-commerce, the distribution center's demand has shifted; they have received many orders with few items per order. These orders typically arrive at warehouses with short deadlines, and even then, they must be collected and sorted quickly. These demands have exhausted the operators, but the need for flexibility makes automation in the process difficult. Technologies to meet this demand have been researched, but some are prohibitively expensive. There are technologies proposed to solve the problem that do not replace man, but rather assist him. RFID, barcodes, and pick-by-light are three of these technologies. Each of them contributes to the activity at a different stage. This research aims to create an artifact that combines these three technologies, resulting in improved performance at all stages of the activity at a low cost. It is expected that this will reduce the activity's time by more than 20% while avoiding collection errors. ROSENFELD et al product.'s development method was used to create the mechanism (2006). It was tested and compared to manual picking in a real warehouse. The findings revealed that the artifact allows for time savings in almost all stages of the activity. The only activity that did not show a decrease was the operation. The average travel time was reduced by 48%, according to what I heard. It was determined that the artifact meets the proposed objectives and that it can be improved to meet other warehouse demands, as well as provide data that, when processed