Os Impactos da Indústria 4.0 e da Inteligência Artificial nas Atividades Logísticas Empresariais
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pretende-se com este artigo discutir e apresentar definições teóricas, benefícios e elementos provenientes da era da quarta Revolução industrial e da inteligência artificial, aplicados ao contexto logístico. Esses conceitos, em conjunto, visam potencializar as ações nas organizações, sejam essas operacionais ou mesmo gerenciais, sendo que por meio deste desenvolvimento as tomadas de decisões passam a ser cada vez mais assertivas e ágeis. Cada vez mais o processo de interação entre departamentos e até mesmo com o cliente final passa a ser de extrema relevância, tornando o nível de competitividade mais acirrado. Utiliza-se pesquisa exploratória e uma revisão bibliográfica, a fim de investigar na literatura os principais componentes da indústria 4.0 e da inteligência artificial, bem como as suas evoluções e os principais desafios para responder às exigências atuais, no intuito de preparar melhor as organizações para uma nova realidade necessária e irreversível. O objetivo principal deste trabalho é verificar como a junção desses importantes elementos tecnológicos pode causar efeitos positivos para as empresas que buscam crescimento organizacional. Palavras-chave : Evolução Logística, Indústria 4.0, Inteligência Artificial, Logística 4.0. ABSTRACT The aim of this article is to discuss and present theoretical definitions, benefits and elements from the era of the fourth industrial revolution and artificial intelligence, applied to the logistics context. These concepts together aim to enhance actions in organizations, whether operational or even managerial where, through this development, decision-making becomes increasingly assertive and agile. Increasingly, the process of interaction between departments and even with the end customer becomes extremely relevant, making the level of competitiveness fierce. Exploratory research and a bibliographic review are used in order to investigate in the literature the main components of industry 4.0, and artificial intelligence, as well as their evolutions and the main challenges to respond to current requirements, in order to better prepare organizations for a new necessary and irreversible reality. The main objective of the work is to verify how the combination of these important technological elements can cause positive effects for companies that seek organizational growth. Keywords : Logistics Evolution, Industry 4.0, Artificial Intelligence, Logistics 4.0
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it