Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0

Chen, Yi Ting; Sun, Edward W.; Chang, Ming Chau; Lin, Yi‐Bing

doi:10.1016/j.ijpe.2021.108157

Cited by 70 publications

(21 citation statements)

References 89 publications

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“…Industry 4.0 will have the greatest impact on machinery and equipment engineering, particularly in logistics, agricultural, and automotive engineering [18]. Logistics 4.0 makes active use of ICT and contemporary logistics technology to actively decrease delays in the management and execution of logistical business operations, hence boosting organizational responsiveness, logistics capabilities, and competitiveness [19]. For example, logistics must respond to enterprise resource planning (ERP), warehouse management system (WMS), transport management system (TMS), and intelligent transportation system (ITS) to be successful [20].…”

Section: Application Areasmentioning

confidence: 99%

The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review

Lau

Ghobakhloo

et al. 2022

Sustainability

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Industry 4.0 has been associated with the rise of disruptive intelligence and information technologies. These cutting-edge technologies have the potential to increase productivity while simultaneously having a significant impact on social and environmental sustainability. As a result, manufacturers must evaluate the role of these innovative technologies in sustainable development, as these technologies have the potential to address prevalent sustainability issues. A content-centric study of the implementation of these Industry 4.0 cutting-edge technologies in sustainable manufacturing is currently absent. A systematic literature study was conducted to explain the potential contribution of these novel technologies to the economic, social, and environmental dimensions of manufacturing industries. This study describes how these cutting-edge technologies are used in sustainable manufacturing. The findings of this study are particularly beneficial to practitioners who seek to apply one or more digital technologies to sustainable development.

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Section: Application Areasmentioning

confidence: 99%

The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review

Lau

Ghobakhloo

et al. 2022

Sustainability

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“…The speed of adoption of both new technologies only confirms their benefits for industrial enterprises. [6] Among the most common reasons for implementing data analytics are companies reducing operating costs, increasing the level of services provided to end customers, or creating simulations and forecasts using historical data, which facilitate decision-making in complex processes [7]. Industrial Internet of Things (IIoT) and big data are an essential part of smart industry and smart industry solutions, as they enable the optimization of processes in production and material flows.…”

Section: Data Analyticsmentioning

confidence: 99%

“…Industrial Internet of Things (IIoT) and big data are an essential part of smart industry and smart industry solutions, as they enable the optimization of processes in production and material flows. At the same time, they speed up decision-making processes at all levels of management, as data and analyzes are available in real-time [7][8].…”

Section: Data Analyticsmentioning

confidence: 99%

Postpandemic innovative trends in logistics, distribution and supply chain

Lachvajderová

Kádárová²,

Kopec³

et al. 2022

ALS

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This scientific output describes the weaknesses of material flows and the lack of resilience of supply chains, which resulted in the outbreak of the COVID-19 pandemic. This unpleasant situation has presented the whole of logistics with new challenges and problems, which society and industry have tried with their approach to achieving non-stagnant logistics processes, which were therefore threatened mainly by the pandemic. The article describes old but mainly new trends and innovations in logistics, distribution and supply chain, which are also the result of accelerated digital transformation.

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“…Focusing on transport digitalization, Pernestål et al [30] analyse the impact of it on road freight; among the predictions of their research, according to their recycling flows will increase, as well as the "vehicle kilometers travelled" and the level of uncertainties. In addition, considering digitalization in transports, the research of Chen et al [31] proposes a method to use IoT and the big data created through IoT to minimizing problems related to vehicle routing.…”

Section: Theoretical Background 21 the Digital Transformation In Logi...mentioning

confidence: 99%

Logistics 4.0 in Brazil: Critical Analysis and Relationships with SDG 9 Targets

et al. 2021

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The logistics sector is characterised as an important pillar of the Brazilian economy, significant regarding revenue and job creation. This study aims to critically analyse the logistical operations developed by Brazilian companies in the context of Logistics 4.0 and to structure a SWOT (strengths, weaknesses, opportunities and threats) matrix from the information gathered. In addition, relationships were established between the structured SWOT matrix and the targets of Sustainable Development Goal 9 (SDG 9). The methodological approach taken by the study consisted of semi-structured interviews with ten experts and data were analysed through content analysis. Once structured the SWOT matrix, the results were related with the targets of the SDG 9. The study presented the weaknesses and threats stand out in relation to the strengths and opportunities. When compared with the targets of SDG 9, it is possible to observe that many weaknesses are related to infrastructure and innovation. The main contributions of the study are the following: it is one of the few studies which holistically examined the sector in Brazil from a Logistics 4.0 perspective and the study points out some essential needs which should be addressed. The information presented here can broaden the debates on this topic and assist companies and government in the transition to digital transformation.

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Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0

Cited by 70 publications

References 89 publications

The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review

The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review

Postpandemic innovative trends in logistics, distribution and supply chain

Logistics 4.0 in Brazil: Critical Analysis and Relationships with SDG 9 Targets

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