Donnerstag, 17.12.2020, 15.00 Uhr
Embedding of Real-World Complexity Modeling in Adaptive Supply Chain Systems Engineering
- Zoom: https://rwth.zoom.us/j/92609933435?pwd=OStsV2w0UUZrK2NmNnE4WDE0Y0pEQT09
- Referentin: Frau Can Sun, M. Sc. (Lehrstuhl Informatik 5)
Successful supply chain complexity and change management is critical for companies to gain competitive advantages. This thesis aims to build a comprehensive supply chain complexity measurement framework through detailed modeling and apply it in the changeable environment.
The research starts with modeling the supply chain and its dynamic change as sociotechnical systems. Then a complexity measurement framework that is decomposed into different levels of complexity drivers is developed, and a decision-making framework for various change scenarios is proposed by highlighting complexity as one of the decisive evaluation criteria.
The proposed solutions are validated with a set of real-world case studies from the semiconductor industry. Each case represents one change scenario and addresses the complexity from a particular perspective; the problem is analyzed and modeled with the support of proposed models and frameworks. The results show that complexity can be measured by a set of indicators or formulas, and thus support decision-making by comparing the change-induced complexity.
Es laden ein: die Dozentinnen und Dozenten der Informatik