2021
DOI: 10.1080/00207543.2021.1977408
|View full text |Cite
|
Sign up to set email alerts
|

Towards logistics 4.0: an edge-cloud software framework for big data analytics in logistics processes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 16 publications
(4 citation statements)
references
References 52 publications
0
4
0
Order By: Relevance
“…They detail the progression of data application from visibility to enhancing adaptability within the company, the evolution of decision scopes from monitoring to strategic decision-making, the decentralisation of decision levels, the realisation of real-time data acquisition, as well as the increase of automation, autonomy and the number of actors engaged the supply chain. Emphasised by von Stietencron et al (2022) they explain that Logistics 4.0 aims to sustainably meet consumer needs by enhancing the efficiency and responsiveness of logistic processes whilst reducing service costs, which often involve manual labour and low-value activities. Meanwhile, Dixit and Verma (2022) identified and addressed the gap in the realm of Logistics 4.0 solutions, specifically the lack of comprehensive quantitative risk analysis.…”
Section: Literature Review 21 the Background Of Logistics 40mentioning
confidence: 99%
“…They detail the progression of data application from visibility to enhancing adaptability within the company, the evolution of decision scopes from monitoring to strategic decision-making, the decentralisation of decision levels, the realisation of real-time data acquisition, as well as the increase of automation, autonomy and the number of actors engaged the supply chain. Emphasised by von Stietencron et al (2022) they explain that Logistics 4.0 aims to sustainably meet consumer needs by enhancing the efficiency and responsiveness of logistic processes whilst reducing service costs, which often involve manual labour and low-value activities. Meanwhile, Dixit and Verma (2022) identified and addressed the gap in the realm of Logistics 4.0 solutions, specifically the lack of comprehensive quantitative risk analysis.…”
Section: Literature Review 21 the Background Of Logistics 40mentioning
confidence: 99%
“…Big data may identify current and future market trends, buying patterns of logistics services, and related maintenance cycles, to provide cost-saving options and effective targeted business decisions [ 8 ]. However, L4.0 necessitates the creation of scalable and efficient software solutions, as well as their implementation in successful real-world applications [ 9 ]. Various organizations face the challenge of extracting benefits from the substantial invasion of internet-generated data.…”
Section: Introductionmentioning
confidence: 99%
“…Industry 4.0 is the integration of cyber-physical systems, the Internet of Things, and cloud computing in manufacturing, to create smarter and more efficient factories [5]. Following the paradigm of Industry 4.0, all objects, especially in digital production, logistics, and transport, will be equipped with integrated computing power and communication capabilities [6,7]. This not only affects machine-to-machine communication, but also increasingly has consequences for the interaction between humans and technology in their working environment, i.e., for Human-Robot Interaction (HRI), and thus, for Human-Robot Collaboration (HRC) [8,9].…”
Section: Introductionmentioning
confidence: 99%