Industry 4.0 &amp; Internet of Things in Supply Chain

López, Héctor; Cisneros, Marco A. Perez

doi:10.1145/3151470.3156646

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…According to [14], technologies such as smart agents, Big Data, Internet of Things (IoT), Cloud Computing (CC), ML, and data mining aim to implement data and information exchange along a supply chain [15,16]. In the sugar sector, a case study using a connection-block algorithm and a multirelational data mining approach in a database of this agroindustrial sector was analyzed in [17].…”

Section: Related Workmentioning

confidence: 99%

Autonomous Cycles of Data Analysis Tasks for the Automation of the Production Chain of MSMEs for the Agroindustrial Sector

Fuentes,

Aguilar,

Montoya

et al. 2024

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In this paper, we propose autonomous cycles of data analysis tasks for the automation of the production chains aimed to improve the productivity of Micro, Small and Medium Enterprises (MSMEs) in the context of agroindustry. In the autonomous cycles of data analysis tasks, each task interacts with the others and has different functions, in order to reach the goal of the cycle. In this article, we identify three industrial-automation processes within the production chain, in which autonomous cycles can be applied. The first cycle is responsible to identify the type of input to be transformed—such as quantity, quality, time, and cost—based on information from the organization and its context. The second cycle selects the technological level used in the raw-material transformation, characterizing the platform of plant processing. The last cycle identifies the level of specialization of the generated product, such as the quality and value of the product. Finally, we apply the first autonomous cycle to define the type of input to be transformed in a coffee factory.

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Section: Related Workmentioning

confidence: 99%

Autonomous Cycles of Data Analysis Tasks for the Automation of the Production Chain of MSMEs for the Agroindustrial Sector

Fuentes,

Aguilar,

Montoya

et al. 2024

Information

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“…There has been a substantial increment in scientific publication on Industry 4.0 [1], attracting the interest of researchers from all over the world [2] by its capacity to provide flexibility and practical reconfigurable manufacturing systems, making possible mass customization processes [3,4]. Industry 4.0, the Digital transformation of the company, or the Digital manufacture, the new production paradigm [5,6], is based on interconnectivity, in which the important is the Internet, not only the computer [7,8], so the production line can exchange information and data online with supply chain, customers and other important stakeholders [9,10]. Industry 4.0 was made possible by the integration of Information Technology (IT) and Automation Technology (AT) with Production supported by high technology, so humans and machines can interact with each other, bringing new possibilities to the companies to improve productivity and competitiveness.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Industry 4.0 in Germany, Brazil and Portugal: Barriers and Benefits

Sátyro

Spínola

Sacomano

et al. 2019

IFIP Advances in Information and Communication Technology

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Industry 4.0 is a subject that has attracted the interests of researches worldwide for its ability to achieve productivity gains and to provide competitiveness to the companies. Although much research has been done on technical studies, little attention has been paid to the challenges that decision-makers, executives and managers face to implement the concepts of Industry 4.0 in their companies. This research was based on secondary data, involving a research made with 246 companies in Brazil, 287 in Germany and 72 in Portugal, which studied the internal and external obstacles and expectations of these 605 companies. The originality and practical implication of this research is to compare these three countries, studying common and different points to implement the concepts of Industry 4.0, so researchers can conduct their studies to try to provide answers to practical expectations, linking research to practice.

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