Towards Supply Chain Risk Analytics

1. Front Matter

   Pages I-XXII

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2. Introduction

   • Iris Heckmann

   Pages 1-15

3. Supply Chain Risk Concepts – Fundamentals

   1. Front Matter

      Pages 17-17

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   2. The Genesis of Supply Chain Risk

      • Iris Heckmann

      Pages 19-41

   3. A New Definition of Supply Chain Risk

      • Iris Heckmann

      Pages 43-75

   4. Supply Chain Risk Analysis – Common Flaws, Core Areas, and Main Tasks

      • Iris Heckmann

      Pages 77-129

   5. Supply Chain Risk Analytics

      • Iris Heckmann

      Pages 131-162

4. Supply Chain Risk Identification and Assessment –Simulation-based Framework

   1. Front Matter

      Pages 163-163

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   2. Simulation for Supply Chain Analysis

      • Iris Heckmann

      Pages 165-179

   3. Design, Metamodeling, and Analysis of Simulation Experiments

      • Iris Heckmann

      Pages 181-215

   4. A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF)

      • Iris Heckmann

      Pages 217-234

   5. Representative Master Planning Module for Supply Chains

      • Iris Heckmann

      Pages 235-260

   6. A Conceptual Information Meta-Model for Supply Chains

      • Iris Heckmann

      Pages 261-276

   7. A Real Case Evaluation of the SimSCRF Approach

      • Iris Heckmann

      Pages 277-309

5. Strategic Supply Chain Risk Mitigation –Optimization Approaches

   1. Front Matter

      Pages 311-311

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   2. Embedding Comprehensive Risk in Supply Chain Network Design Models

      • Iris Heckmann

      Pages 313-361

   3. Conclusions and Outlook

      • Iris Heckmann

      Pages 363-371

6. Back Matter

   Pages 373-411

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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.

• Stochastic Programming
• Discrete Event Simulation
• Supply Chain Risk Definition
• Supply Chain Risk Analysis
• SimSCRF Approach

• IPE Information Process Engineering, FZI Forschungszentrum Informatik, Karlsruhe, Germany

  Iris Heckmann

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. 

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