Towards Supply Chain Risk Analytics
Fundamentals, Simulation, Optimization

Authors: Iris Heckmann



Publication in the field of economic sciences

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.

Table of contents

Front Matter
Pages I-XXII

Introduction
Pages 1-15

Supply Chain Risk Concepts – Fundamentals
Front Matter
Pages 17-17
The Genesis of Supply Chain Risk
Pages 19-41
A New Definition of Supply Chain Risk
Pages 43-75
Supply Chain Risk Analysis – Common Flaws, Core Areas, and Main Tasks
Pages 77-129
Supply Chain Risk Analytics
Pages 131-162

Supply Chain Risk Identification and Assessment –Simulation-based Framework
Front Matter
Pages 163-163
Simulation for Supply Chain Analysis
Pages 165-179
Design, Metamodeling, and Analysis of Simulation Experiments
Pages 181-215
A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF)
Pages 217-234
Representative Master Planning Module for Supply Chains
Pages 235-260
A Conceptual Information Meta-Model for Supply Chains
Pages 261-276
A Real Case Evaluation of the SimSCRF Approach
Pages 277-309

Strategic Supply Chain Risk Mitigation –Optimization Approaches
Front Matter
Pages 311-311
Embedding Comprehensive Risk in Supply Chain Network Design Models
Pages 313-361
Conclusions and Outlook
Pages 363-371

Back Matter
Pages 373-411