Step and Step-Nc as a Tool for Big Data in Cloud Manufacturing

  • Noordiana Kasim UTHM
  • J. Jaafar University Kuala Lumpur
  • M.S.A. Mat Roseh University Malaysia Pahang
  • M.H. Mohamed Ali Universiti Tun Hussein Onn Malaysia
  • R. Roslan Universiti Tun Hussein Onn Malaysia
  • I.A. Bahrudin Universiti Tun Hussein Onn Malaysia
  • S. Mat Yasin Universiti Tun Hussein Onn Malaysia
  • J. Mohamed Universiti Tun Hussein Onn Malaysia
  • A.H. Omar Universiti Tun Hussein Onn Malaysia
  • M.F. Mohamed Nor Universiti Tun Hussein Onn Malaysia
  • M.H. Jofri Universiti Tun Hussein Onn Malaysia
  • M. Abdul Hamid Universiti Tun Hussein Onn Malaysia
  • M.R. Azhar Empire Tech Vision Network, Damansara
Keywords: Manufacturing, Internet of Things (IoT), Communication

Abstract

The terms big data, cloud manufacturing, predictive and additive manufacturing, and Internet of Things (IoT) are being most commonly used in the manufacturing industry nowadays. These terms are related to the fourth industrial revolution that emphasizes automation and data exchange between manufacturing tools/elements. Communication occurs between machines, products and even technicians or operators through various technologies while creating records of each interaction resulting in rapid growth of amount of data to be stored. Data acquisition is not a major issue since a structure or framework can properly connect these data in improving manufacturing efficiency. However, lack of effort in collecting and storing manufacturing data in the whole product life cycle process has made integration to be almost difficult to achieve. In this study, the adoption of STEP-NC method/technique was demonstrated in suiting the current explosion of big data in the industrial and manufacturing sector. The proposed methodology was developed through a study of an entity file structure and hierarchical concept in STEP and STEP-NC in gathering manufacturing data in a unified database. The challenge would be in making sense of the data, revealing the patterns in it and using them for operational improvements. The outcome of this study will be useful to support strategic decision making in product manufacturing.

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Published
03-12-2020
How to Cite
Kasim, N., Jaafar, J., Mat Roseh, M., Mohamed Ali, M., Roslan, R., Bahrudin, I., Yasin, S. M., Mohamed, J., Omar, A., Mohamed Nor, M., Jofri, M., Hamid, M. A., & Azhar, M. (2020). Step and Step-Nc as a Tool for Big Data in Cloud Manufacturing. International Journal of Integrated Engineering, 13(2), 202-207. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/7643