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Towards Supply Chain Risk Analytics

Fundamentals, Simulation, Optimization

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  • © 2016

Overview

  • Publication in the field of economic sciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Supply Chain Risk Concepts – Fundamentals

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

  3. Strategic Supply Chain Risk Mitigation –Optimization Approaches

Keywords

About this book

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.

Authors and Affiliations

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

    Iris Heckmann

About the author

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. 

Bibliographic Information

  • Book Title: Towards Supply Chain Risk Analytics

  • Book Subtitle: Fundamentals, Simulation, Optimization

  • Authors: Iris Heckmann

  • DOI: https://doi.org/10.1007/978-3-658-14870-6

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2016

  • Hardcover ISBN: 978-3-658-14869-0Published: 03 August 2016

  • Softcover ISBN: 978-3-658-21513-2Published: 07 June 2018

  • eBook ISBN: 978-3-658-14870-6Published: 20 July 2016

  • Edition Number: 1

  • Number of Pages: XXII, 411

  • Number of Illustrations: 83 b/w illustrations

  • Topics: Operations Research/Decision Theory, IT in Business, Supply Chain Management

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