The manner in which customers and organisations buy goods and services have changed dramatically in recent times. Globalisation policies, reduction of trade barriers, development of new technologies (e.g. mobile technologies, the internet, the digital economy) etc. have contributed to promote change in operations and their supply chains in order to enhance their competitive advantage and level of responsiveness to a dynamic business environment.
Furthermore, regulations, sustainability issues and the circular economy are creating new opportunities and challenges to improve operational and strategic performance. However, disruption in the supply chain can have a very critical negative effect on its performance, with short, medium and long term consequences. Natural disasters, human conflicts, unexpected changes in national policies, global pandemics, political crisis, etc. can dramatically disrupt global supply chains of different industries.
Modern organisations need to formulate and implement successful strategies to enhance supply chain resilience and rapidly overcome the challenges of unexpected disruptions. This is also very relevant for organisations that are seeking to take advantage of a dynamic circular economy environment in which products are designed to have an extended life cycle.
System Dynamics is a modelling technique that allows understanding the behaviour of a complex system along time. Thus, System Dynamics can help to identify the key elements or factors of a complex system, to quantify the causal relationships among the elements of the system and to analyse their influence on the overall behaviour of the system, and to simulate different dynamic scenarios of the behaviour of the system under study.
Therefore, the aim of this PhD research project is to apply the System Dynamics modelling methodology to analyse innovative strategies to design more resilient supply chains within a Circular Economy environment. Global supply chains can be considered as complex systems that operate within a dynamics business environment.
The PhD candidate should have a relevant engineering background, with knowledge or experience in operations and supply chain management. This could include an MSc in these relevant topics. This PhD research project requires the candidate to have the willingness to learn to use System Dynamics modelling software. e.g. Vensim and Anylogic. The PhD candidate should also have excellent oral communication and academic writing skills in English. Experience in writing academic articles and/or conference papers is desirable.