Internet of Things, Big Data, Industry 4.0 – Innovative Solutions in Logistics and Supply Chains Management ☆
By K. Witkowski. 2017
493 citations recorded by the source corpus.
Abstract The aim of this article is to present some ‘smart’ solutions which could be recognised as innovative solutions in both areas: technology and organisation. The above mentioned solutions could be implemented by logistics which, in the era of globalization, plays a very important role. This applies not only to functioning of individual companies, but also to national economies and even the world economy. The phenomenon of competition can now be observed not just in individual companies but in entire supply chains. The pace of development of the modern economy means that companies are forced to constantly introduce more and more new solutions, resulting in innovation driving the progress of the market. This article is a part of research, which considers the problem of implementation of IT solutions logistics.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/5c611ff84ce198f012a55b8b2f93773466366d58
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Charbel José Chiappetta Jabbour
- Moacir Godinho Filho
- Ana Beatriz Lopes de Sousa Jabbour
- David Roubaud
In Management of Technology and Innovation
- Charbel José Chiappetta Jabbour
- Moacir Godinho Filho
- Ana Beatriz Lopes de Sousa Jabbour
- David Roubaud
Citations in the corpus
- TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data (2022, background): “The problem of anomaly detection is becoming increasingly challenging in large-scale databases due to the increasing data modality [18, 28, 54].”
- Advanced robotics and additive manufacturing of composites: towards a new era in Industry 4.0 (2021, background): “units are controlled by integrated systems collecting data from the productive systems, from suppliers and customers.([95]) Data collected, forecasting, and simulations are the main inputs analyzed in real-time by the control system to make decision and govern the production.”
- Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations (2018, methodology): “To summarise, the main characteristics of Industry 4.0 are integrated, adapted, optimised, and interoperable manufacturing processes (Lu 2017).”