IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Quantitative Risk Management Models for Newsvendor Supply Chains

Quantitative Risk Management Models for Newsvendor Supply Chains
View Sample PDF
Author(s): Dimitrios Vlachos (Aristotle University of Thessaloniki, Greece)
Copyright: 2013
Pages: 16
Source title: Supply Chain Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2625-6.ch021

Purchase

View Quantitative Risk Management Models for Newsvendor Supply Chains on the publisher's website for pricing and purchasing information.

Abstract

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.

Related Content

Pedro B. Agua, Anacleto Correia, Armindo S. Frias. © 2022. 23 pages.
Kripanshu Vora. © 2022. 27 pages.
Simona ┼áinko, Bojan Rupnik, Roman Gumzej. © 2022. 16 pages.
Daniel Londono-Bernal, Adil Hammadi, Torsten Reiners. © 2022. 33 pages.
Panagiotis Kotsios, Dimitrios Folinas. © 2022. 15 pages.
Olcay Polat. © 2022. 22 pages.
Saibal Kumar Saha, Sangita Saha, Ajeya Jha. © 2022. 32 pages.
Body Bottom