Authors:
Lucas Vicente
;
Saul Delabrida
;
Mateus Silva
;
Adrielle Santana
and
Ricardo Oliveira
Affiliation:
Programa de Pós-Graduação em Instrumentação, Controle e Automação de Processos de Mineração, Universidade Federal de Ouro Preto e Instituto Tecnológico Vale, Ouro Preto, Minas Gerais, Brazil
Keyword(s):
Warehouse, Raspberry Pi, IoT, Node-Red, Wearable, RFID.
Abstract:
Companies in the retail sector need proper control of their stock to avoid financial waste and guarantee the effectiveness of their operations. A more detailed analysis of this problem reveals the complexity of implementing a management methodology that enables optimal control of all stock, since human errors occur during operations and various scenarios depend on different variables. Therefore, to solve the problem of efficient warehouse stock management and the resulting inefficiency of operations, this study proposes the implementation of a wearable, developed using a Raspberry Pi 4B with IoT and Node-Red, in conjunction with a mobile device, which assists operators during the processes of stocking, searching for and removing material from the warehouse more efficiently. As a result, the proposed system can identify, by reading an RFID tag with a mobile device, the characteristics of the equipment in question, showing all this information on an OLED display, as well as directing w
hat will be done with this equipment via an app. Among the metrics that demonstrate the effectiveness of the proposed system is the time taken to stock and remove the material, since all the procedures are managed in real-time on the app and updated in its inventory control.
(More)