An exploratory study on emerging technologies applied to logistics 4.0

Abstract

The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.

Simulation pulled by the need to reduce wastes and human effort in an intralogistics project

“…AGVs, AIVs) are being equated as they benefit from technological development and artificial intelligence, increasing the level of productivity of a company. Additionally, RFID and others technologies from Industry 4.0 could give a useful help establishing and providing material information and tracking in real time [30]- [33]. Therefore, Lean Logistics concepts combined with Logistics 4.0 are of great importance to increase the efficiency of the internal value chain within organizations.…”

Evoluções Das Tecnologias Da Indústria 4.0: Dificuldades E Oportunidades Para as Micro E Pequenas Empresas

“…Através dos benefícios citados, a Associação Brasileira de Desenvolvimento Industrial (http://www.industria40.gov.br/, recuperado em 20 de maio de 2020) prevê um corte de custos de R$35 bilhões devido ao ganho de eficiência, R$31 bilhões com redução de manutenção de máquinas, e R$7 bilhões com redução de consumo de energia (CORRÊA et al, 2020).…”

Análisis bibliométrico de la investigación en big data y cadena de suministro

“…El big data es una herramienta clave para la toma de decisiones en las organizaciones actuales, ya que permite operar de manera más rápida y eficiente con grandes cantidades de datos (Maheshwari et al, 2021;Witkowski, 2017). El big data se define como la gestión de macrodatos en términos de volumen, velocidad y variabilidad, lo que requiere una arquitectura escalable para su almacenamiento y análisis eficiente (Winkelhaus y Grosse, 2020;Corrêa et al, 2020).…”