Towards Supply Chain Risk Analytics

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106,99 

Fundamentals, Simulation, Optimization

ISBN: 3658148691
ISBN 13: 9783658148690
Autor: Heckmann, Iris
Verlag: Springer Gabler
Umfang: XXII, 411 S., 83 s/w Illustr., 411 p. 83 illus.
Erscheinungsdatum: 03.08.2016
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: GEB

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. Content A New Definition of Supply Chain Risk Supply Chain Risk Analysis Common Flaws, Core Areas, and Main Tasks A Simulationbased Approach for Supply Chain Risk Analysis (SimSCRF) A Real Case Evaluation of the SimSCRF Approach Embedding Comprehensive Risk in Supply Chain Network Design Models Target Groups- Lecturers and students of management and operations research- Professionals in the field of supply chain management, supply chain planning, risk management About the AuthorIris 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.

Artikelnummer: 9548032 Kategorie:

Beschreibung

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.

Autorenporträt

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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