Integrated operational supply chain planning in Industry 4.0

Pires, Matheus Cardoso; Parreira, Renato L. T.; Frazzon, Enzo Morosini

doi:10.1504/ijism.2021.113566

Cited by 5 publications

(3 citation statements)

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“…Rejeb et al [61], Pires et al [53], and Richnak [56] investigate the utilization of emerging technologies in procurement processes to address the complexity of exchanging data and information in procurement logistics. Their study highlights the significance of digitalization and the adoption of technologies such as big data analytics, robotics, IoT, blockchain, and smart contracts in enhancing industrial procurement functions and tools.…”

Section: Literature Reviewmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

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Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.

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Section: Literature Reviewmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

View full text Add to dashboard Cite

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“…Gracias a este elemento, los componentes ahora pueden iniciar la generación y transmisión de la gran cantidad de datos necesarios para monitorear el estado de la cadena de suministro. En concreto, aumenta la transparencia de toda la cadena, permite a los participantes tomar decisiones más informadas, responde a los cambios y desviaciones del plan en tiempo real, minimiza el riesgo de confusión y satisface la demanda en todo momento (Pires et al, 2021).…”

Section: Digitalización E Iotunclassified

“…Este tipo de solución permite, mediante el uso de big data y el apoyo de inteligencia artificial, identificar desviaciones de los procesos estándar, predecir resultados inesperados e iniciar acciones de movimiento óptimo. El uso de este método permite alcanzar nuevas metas de producción antes difíciles de pensar (Pires et al, 2021).…”

Section: La Inteligencia Artificialunclassified

Supply Chainin the Context of Industry 4.0

Vásquez

Chávez

Cholan

et al. 2022

goi

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Purpose -Its objective is to improve the efficiency of logistics tasks. Methodology -This research article was composed using a systematic revision of numerous publications focused on the theme of our research using the Technological Vigilance Service of the Universidad Nacional de Trujillo. Findings -This review article shows how the supply chain influenced the 4th industrial revolution, how it was organized and what strategies were used for the transition of the supply chain in industry 4.0. Value -Revolutionizing logistics and supply chain management in smart manufacturing is one of the key goals of the industry 4.0 movement. Emerging technologies such as autonomous vehicles, cyber physical systems and digital twins enable highly optimized and automated solutions in these areas to ensure full traceability of each product. Keeping track of various assets in the factory and warehouse is the focal point of asset management.

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