Shafiq, Syed Imran

Szczerbicki, Edward

Sanin, Cesar

2019

<p>In order to allocate resources effectively according to the production plan and to reduce disturbances, a framework for smart production performance analysis is proposed in this article. Decisional DNA based knowledge models of engineering objects, processes and factory are developed within the proposed framework. These models are the virtual representation of manufacturing resources, and with help of Internet of Things, are capable of capturing the past experience and formal decisions. A case study for the smart tool performance analysis is presented in which information of key tool parameters like tool life, surface integrity, tool forces and chip formation can be sensed in real-time, and predictions can be made according to specific requirements. This framework is capable of creating a cyber-physical conjoining of the bottom-level manufacturing resources and thus can work as a technological basis for smart factories and Industry 4.0.</p>

Cybernetics and Systems, 50(2), p. 154-164

1087-6553

0196-9722

https://hdl.handle.net/1959.11/61813

en

Taylor & Francis Inc

Decisional-DNA Based Smart Production Performance Analysis Model

Journal Article

Publication