Towards Supply Chain Risk Analytics: Fundamentals, Simulation, Optimization
Author:   Iris Heckmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783658215132


Pages:   411
Publication Date:   07 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Towards Supply Chain Risk Analytics: Fundamentals, Simulation, Optimization


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Overview

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.

Full Product Details

Author:   Iris Heckmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer Gabler
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 14.80cm , Height: 2.30cm , Length: 21.00cm
Weight:   5.593kg
ISBN:  

9783658215132


ISBN 10:   3658215135
Pages:   411
Publication Date:   07 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

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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