Structured literature analysis on strategic capacity planning and technology choice in manufacturing companies

Bachelor thesis / student research project

Supervisor: Yannik Graupner

The commitment to limit global warming to a maximum of two degrees Celsius requires a significant reduction in greenhouse gas emissions in all sectors. Energy-intensive industries are responsible for most industrial greenhouse gas emissions. Several projects have, therefore, been initiated to minimize greenhouse gas emissions in energy-intensive industries.

Current technologies are based on carbon-containing energy sources such as coal and natural gas. In the future, these should ideally be replaced by low-CO2 alternative energy sources, such as hydrogen and electricity. Alternatively, CO2 emissions can also be captured and stored or reused in other processes.

In addition to the ecological advantages of alternative technologies, economic expenses must also be considered, which leads to an increase in the specific costs of producing raw materials. In addition, an uncertain regulatory environment makes long-term decision-making more difficult. This makes it necessary to use quantitative techno-economic planning approaches to support strategic decisions regarding designing the transformation path to low-carbon production.

A structured literature analysis concerning strategic network and capacity planning approaches for production companies will be carried out as part of a bachelor's or student research project. The thesis aims to identify and classify published contributions. In this context, research gaps concerning quantitative planning approaches for shaping the transformation process of energy-intensive industries are to be determined.

If you are interested, please contact Yannik Graupner.