Suggested by: Christian Neuwirth (christian.neuwirth@plus.ac.at)
Short description: Production processes and its derivatives like supply chain and quality management have a highly non-linear behavior in time and space. In case of a shortage in supply chain or other unpredictable events the whole process can become unstable. The resilience of companies against international crises that result in variations of resource supplies depends heavily on the spatial configuration of facilities like warehouses and production sites. Moreover, the implementation of circular production systems can address both environmental sustainability as well as resilience. To create sustainable and resilient spatial configurations and procedures, the method of spatial simulation modeling can be used to answer what-if questions (e.g. simulating effects of disruptions in international trade), to test alternative response strategies and to inform decisions.
In this master thesis, you will use tools such as GAMA, NetLogo or Vensim to create spatial simulation models that reproduce the essential production processes at Greiner Neveon. You will closely collaborate via online tools with the data analytics team at the headquarter in Kremsmünster, Upper Austria.
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| Source: Binus University |
References/Suggested reading:
- Rahman, T., Taghikhah, F., Paul, S. K., Shukla, N. & Agarwal, R. An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. Computers & Industrial Engineering 158, 107401 (2021).
- Raimbault, J. et al. A spatial agent based model for simulating and optimizing networked eco-industrial systems. Resources, Conservation and Recycling 155, 104538 (2020).
Start: ASAP
Prerequisites/qualification:
You have successfully finished or plan to attend the “Spatial Simulation” course, interest in economy and quantitative research is a plus
Questions and further ideas can be send to christian.neuwirth@plus.ac.at.
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