Literature review of Industry 4.0 and related technologies
By Ercan Öztemel, Samet Gursev. Journal of Intelligent Manufacturing, 2018
1,679 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/124aefc409a714efd73c505130ff2b6eb585d135
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
- Marco Perona
- Ondrej Krejcar
- Francesco Piccialli
- Andrea Bacchetti
- Ting Zheng
- Imran Ahmed
- Valerio Persico
- Antonio Pescapè
Citations in the corpus
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “…of those mentioned in acknowledged research in the literature (Ardito et al. 2019; Da Silva et al. 2020; Ghobakhloo 2018; Gölzer and Fritzsche 2017; Oztemel and Gursev 2018), namely: Cyber-Physical Systems (CPS), Internet of Things (IoT), Big data and Analytics (BDA), Cloud technology, Artificial…”
- Impact of COVID-19 pandemic on socio-economic, energy-environment and transport sector globally and sustainable development goal (SDG) (2021, positive): “During this COVID-19 pandemic, technology played a key role (Oztemel and Gursev, 2020).”
- Industry 4.0 for the Construction Industry—How Ready Is the Industry? (2019, background): “The term is well known not only in academia but also in industry [22].”
- Segmentation-based deep-learning approach for surface-defect detection (2019, neutral): “is moving towards the generalization of the production line, where rapid adaptation to a new product is required (Oztemel and Gursev 2018).”
- Deep learning in drug discovery: an integrative review and future challenges (2022, background): “AI (Venkatasubramanian 2019), Internet of Things (IoT) devices (Venkatasubramanian 2019; Oztemel and Gursev 2018), and DTs have all piqued the interest of governments, agencies, academic institutions, and corporations (Bao et al.”
- From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where (2022, methodology): “IoT [1], big data [2], cloud computing [3], augmented reality [4], cyber-physical system [5], system integration [6], robotics [7], simulation [8], and additive manufacturing [6] are integrated, as presented in Fig.”
- Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case (2020, background): “Technological developments in automation systems for Industry 4.0 have brought many advantages and opportunities in terms of flexibility, economic production, and the optimization of production processes [8,9].”
- From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology (2022, background): “There are important key drivers [26,27]: There are important key drivers [26,27]:”
- Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review (2022, neutral): “All these changes are dictated by global trends in the introduction of digitalization in all areas of production, under the umbrella of Industry 4.0 (Oztemel & Gursev, 2020).”
- Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues (2021, neutral): “other and collaborating autonomously [8].”
- Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects (2019, background): “0 is based on recent innovative information and communication technologies, such as cyber-physical systems (CPS), Internet of Things (IoT) and cloud computing (CC) [7], having attracted the research interest of the academia and the industry in a plethora of applications [8].”
- Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management (2020, neutral): “0 has been characterized as technological advances, organizational re-designs, operations management (OM) developments, and market transformations (Yin et al. 2018, Tang and Veelenturf 2019, Oztemel and Gursev 2020).”
- From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges (2020, neutral): “Generally speaking, several authors [3], [5]–[10] presented”