Support functions such as procurement may be understood as workflow system delivering value to the organization. A simulation optimization is proposed that depending on inputs such as total spend, diversity of requisitions, and company strategy – through the internal delivery organization with the people, culture, and processes – is delivering output in terms of cost savings, processing speed, and decision quality.
The objective of this research is to provide theoretical and practical insights into how to solve the organizational sizing problem by maximizing the value function of procurement using the simulation method. Thus, the thesis would like to focus on the question: How to solve the organizational sizing problem by maximizing procurement value creation?
Building on an early prototypical implementation, the thesis focuses on building a refined process model exploring the theoretical and practical implications of core aspects of the emerging digital supply chain twin concept through simulation. Simulation expertise is an important and rare skill today and likely in the future – combined with gaining further domain knowledge, adequate data handling techniques, visualization and discussion of the results considering the theoretical foundations of supply management, simulation, and data science provides an interesting opportunity for a master student supervised in collaboration with Prof. Christoph Bode at the Chair of Procurement and the external Ph.D. student Jan Martin Spreitzenbarth.
More information can be found here.
If you are interested, please get directly in touch with Jan Martin Spreitzenbarth.