How Big Data Transforms Manufacturing Industry

2022 ◽  
pp. 1974-1988
Author(s):  
Victor I. C. Chang ◽  
Wanxuan Lin
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Manufacturing Industry ◽  
Ethical Issues ◽  
Big Data Analytics ◽  
Ethical Governance

This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next, it discusses more deeply about the ethical issues of Big Data in manufacturing with both individual and organizational perspectives. Finally, this article sums up with some principles to show the ethical governance of the interests of Big Data stakeholders.

scholarly journals How Big Data Transforms Manufacturing Industry

2019 ◽  
Vol 2 (1) ◽  
pp. 39-51
Author(s):  
Victor I. C. Chang ◽  
Wanxuan Lin
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Manufacturing Industry ◽  
Ethical Issues ◽  
Big Data Analytics ◽  
Ethical Governance

This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next, it discusses more deeply about the ethical issues of Big Data in manufacturing with both individual and organizational perspectives. Finally, this article sums up with some principles to show the ethical governance of the interests of Big Data stakeholders.

scholarly journals Five Ethical Issues in the Big Data Analytics Age

2021 ◽  
Vol 49 (1) ◽  
pp. 430-447
Author(s):  
Sandra M. Richardson ◽  
◽  
Stacie Petter ◽  
Michelle Carter ◽  
◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Ethical Issues ◽  
Big Data Analytics

scholarly journals INTELLIGENT DEVELOPMENT OF BIG DATA ANALYTICS FOR MANUFACTURING INDUSTRY IN CLOUD COMPUTING

2019 ◽  
Vol 01 (01) ◽  
pp. 13-22 ◽  
Author(s):  
Abul Bashar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Smart Home ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Big Data Analytics ◽  
City Development ◽  
Real Time Monitoring

Big-data analytics being a useful technique in the analyzing the deeper values hidden inside a huge set of data flow that are generated in our day today lives, has almost become more prominent in variety of applications such as industrial development, smart home to smart city development and security management etc., despite its high potentials the challenges incurred makes it insufficient with certain applications that include a real time monitoring, so the paper proposes the real time monitoring of the developing manufacturing industry by proffering the intelligent big data analytics and cloud computing to present with the maximum possible insights to improvise the process of the manufacturing , by retaining the product consistency, optimal throughput and increasing the productivity.

Ethical Issues in Big Data Analytics: A Stakeholder Perspective

2019 ◽  
pp. 718-747 ◽  
Author(s):  
Ida Someh ◽  
Michael Davern ◽  
Christoph F. Breidbach ◽  
Graeme Shanks
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Ethical Issues ◽  
Big Data Analytics ◽  
Stakeholder Perspective

High-Performance Computing Based Big Data Analytics for Smart Manufacturing

2018 ◽  
Author(s):  
Yuhang Yang ◽  
Y. Dora Cai ◽  
Qiyue Lu ◽  
Yifang Zhang ◽  
Seid Koric ◽  
...  
Keyword(s):  
Big Data ◽  
High Performance Computing ◽  
Data Analytics ◽  
High Performance ◽  
Manufacturing Industry ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Smart Manufacturing ◽  
Intelligent Decision Making ◽  
Performance Computing

With the rapid development of sensing, communication, and computing technologies and infrastructure, today’s manufacturing industry is marching towards a big data era and a new generation of digitalization and intelligence. The availability of big data provides us with a golden opportunity to promote smart manufacturing. Nevertheless, the deployment and popularization of big data analytics in manufacturing is still at its nascent stage. One critical challenge results from the lack of high-performance computing (HPC) capability, which is crucial for responsive and intelligent decision-making in the modern manufacturing industry. To address this challenge, this paper proposes a framework and some general guidelines for implementing big data analytics in an HPC environment. The details of the whole workflow, from the prototype to the final application, are high-lighted. A case study for intelligent 3D sensing with real-world manufacturing data is presented to demonstrate the effectiveness of the proposed framework.

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