Description of field of research:

Industry 4.0 focuses on integrating physical elements of production-logistic systems with information/communication technologies. This digitalization transforms factories into smart cyber-physical systems, offering great opportunities, including increasing productivity, improving quality and customization, shortening lead time, and reducing environmental footprint and cost. Digital twin is a digital replica of a physical object, which interacting with each other through Internet-of-things (IoT). Data from the physical system and generated information from digital twin are integrated/analyzed to achieve deep insight to optimize the production-logistic system performance by dynamic planning/control.
However, production-logistic systems are complex systems. Hence, designers mostly follow sequential approaches, which do not address the impact of single design decisions on overall system performance as a function of dynamic interactions. This may lead to design inconsistencies or failures. Hence, there is a need to have a Meta-model to develop and simulate different design alternatives to compare their validated performance in satisfying business objectives. 

This Meta-model can stand as a framework to support decision-making in the selection of better design alternatives and also can be used as a digital twin to control the implemented design. The model can be connected to various hardware and technologies such as Cloud computing and Artificial intelligence for performance optimization.

Research Area

Industry 4.0 |
Digital twin |
Production-logic systems |
Smart manufacturing

Your main contact is Dr Shiva Abdoli, you will also be in touch with her international Academic colleagues working in the same field, and a number of postgraduate thesis students. You'll also be in contact with industry collaborators to visit the production sits and perhaps collect data from the production-logistic systems to be used as case study data. 

You will learn a range of research skills including modeling and decision-making methods, how to effectively communicate and work in an interdisciplinary team. You are encouraged to demonstrate your learned skills by different means including presentation in an internal seminar or participating in writing a research article and conference presentation.

There is an opportunity that you can work as an internship for one of the industry partners opening future employment opportunities. 

Outstanding ToR students will also have the opportunity to pursue his or her PhD under the supervision of Dr Shiva Abdoli at UNSW.