@inproceedings{5bb7cfe17c1c415f88927687d07a9660,
title = "Enterprise Definition for Industry 4.0",
abstract = "In the modern world of mining and manufacturing, it is pivotal for information to flow from the enterprise level, i.e., Business Intelligence (BI) and Enterprise Resource Planning (ERP), down to the shop floor. Information generated from the shop floor should conversely be shared with the enterprise level in real or semi real-time. Business partners should be integrated to form a value chain that self-adjusts, generates and shares information. The absence of real-time flow of information makes it difficult to inform business decisions. The introduction of Industry 4.0 yields the convergence of fragmented business systems and partners. This results in the seamless integration and communication in delivering premium operations. This paper proposes an architecture of a fully integrated enterprise. The architecture comprises systems from such levels as decision making, operations management, and shop floor. Big Data, Data Analytics, and Cyber Physical Systems (CPS) are harnessed to accomplish a 4th industrial revolution.",
keywords = "Big Data, ERP, Industry 4.0, IoT, MES",
author = "A. Telukdarie and Sishi, {M. N.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 ; Conference date: 16-12-2018 Through 19-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IEEM.2018.8607642",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "849--853",
booktitle = "2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018",
address = "United States",
}
