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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
Manufacturing big data ecosystem: A systematic literature review
ترجمه فارسی عنوان مقاله:
ساخت اکوسیستم داده های بزرگ: مروری بر ادبیات سیستماتیک
منبع:
Sciencedirect - Elsevier - Robotics and Computer Integrated Manufacturing, 62 (2020) 101861: doi:10:1016/j:rcim:2019:101861
نویسنده:
Yesheng Cuia,⁎, Sami Karaa, Ka C. Chana,b
چکیده انگلیسی:
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany (Industry 4.0) and
China (Made-in China 2025). The emergence of the concept of Cyber Physical System (CPS) and big data imperatively
enable manufacturing to become smarter and more competitive among nations. Many researchers
have proposed new solutions with big data enabling tools for manufacturing applications in three directions:
product, production and business. Big data has been a fast-changing research area with many new opportunities
for applications in manufacturing. This paper presents a systematic literature review of the state-of-the-art of big
data in manufacturing. Six key drivers of big data applications in manufacturing have been identified. The key
drivers are system integration, data, prediction, sustainability, resource sharing and hardware. Based on the
requirements of manufacturing, nine essential components of big data ecosystem are captured. They are data
ingestion, storage, computing, analytics, visualization, management, workflow, infrastructure and security.
Several research domains are identified that are driven by available capabilities of big data ecosystem. Five
future directions of big data applications in manufacturing are presented from modelling and simulation to realtime
big data analytics and cybersecurity.
Keywords: Smart manufacturing | Big data | Cloud computing | Cloud manufacturing | Internet of things | NoSQL
قیمت: رایگان
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