Intelligent Manufacturing in the Context of Industry 4.0
A Review
Bibliographic Data
| ID | 23366997 |
|---|---|
| Authors | Ray Y Zhong (0000-0002-3011-2009, University of Auckland), Xun Xu (0000-0001-6294-8153, University of Auckland, corresponding author), Eberhard Klotz (Festo (Germany)), Stephen T Newman (0000-0003-3163-1908, University of Bath) |
| Year | 2017 |
| Volume | 3 |
| Issue | 5 |
| Pages | 616-630 |
| Publication date | 2017-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Engineering (JOURNAL) |
| Journal identifiers | ISSN: 2095-8099 • E-ISSN: 2096-0026 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.eng.2017.05.015 |
| OpenAlex | W2767346351 |
| Language | EN |
| Citations received | 64 |
| References cited | 124 |
Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.
Advanced manufacturing · Big data · Business · Cloud computing · Cloud Manufacturing · Context (archaeology) · Flexibility (engineering) · Industry 4.0 · Manufacturing · Manufacturing engineering · Quality (philosophy) · Computer Science · Digital Transformation in Industry · Engineering · Industrial Vision Systems and Defect Detection · Manufacturing Process and Optimization · Marketing
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Economic, Social Impacts and Operation of Smart Factories in Industry 4.0 Focusing on Simulation and Artificial Intelligence of Collaborating Robots
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| Unique citing works | 64 |
|---|---|
| Citations per year | 9,14 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 52 |