Towards supply chain risk analytics: Fundamentals, simulation, optimization

17Citations
Citations of this article
82Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Heckmann, I. (2016). Towards supply chain risk analytics: Fundamentals, simulation, optimization. Towards Supply Chain Risk Analytics: Fundamentals, Simulation, Optimization (pp. 1–411). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-14870-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free