Towards Supply Chain Risk Analytics

In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics. She transfers the newly defined concepts for the modelling and operationalization of supply chain risk within simulation and optimization approaches, in order to ease unexpected deviations and disruptions, which are subsumed under the notion of supply chain risk, increasingly aggravating the planning and optimization of supply chains.

Publication in the field of economic sciences Includes supplementary material: sn.pub/extras

Autorentext
Iris Heckmann started as a research scientist at the FZI Research Centre for Information Technology in Karlsruhe and headed the department of Risk-aware Logistics: Supply Chain and Health. Since April 2016 she is division head of the research division Information Process Engineering. Her research focuses on developing mathematical optimization approaches for supply chain risk analytics.

Inhalt
A New Definition of Supply Chain Risk.- Supply Chain Risk Analysis. Common Flaws, Core Areas, and Main Tasks.- A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF).- A Real Case Evaluation of the SimSCRF Approach.- Embedding Comprehensive Risk in Supply Chain Network Design Models.