Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/autre/managing-supply-chain-risk-and-vulnerability/descriptif_3183330
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=3183330

Managing Supply Chain Risk and Vulnerability, 2009 Tools and Methods for Supply Chain Decision Makers

Langue : Anglais

Coordonnateurs : Wu Teresa, Blackhurst Jennifer Vincent

Couverture de l’ouvrage Managing Supply Chain Risk and Vulnerability

Managing Supply Chain Risk and Vulnerability, a book that both practitioners and students can use to better understand and manage supply chain risk, presents topics on decision making related to supply chain risk.

Leading academic researchers, as well as practitioners, have contributed chapters focusing on developing an overall understanding of risk and its relationship to supply chain performance; investigating the relationship between response time and disruption impact; assessing and prioritizing risks; and assessing supply chain resilience.

Supply chain managers will find Managing Supply Chain Risk and Vulnerability a useful tool box for methods they can employ to better mitigate and manage supply chain risk. On the academic side, the book can be used to teach senior undergraduate students, as well as graduate-level students. Additionally, researchers may use the text as a reference in the area of supply chain risk and vulnerability.

1. Effective Management of Supply Chains: Risks and Performance 2. Managing Supply Chain Disruptions via Time-Based Risk Management 3. Prioritization of Risks in Supply Chains of Small and Medium Enterprises (SMEs) Clusters Using Fuzzy-AHP Approach 4. A Generalized Simulation Framework for Responsive Supply Network Management 5. Modeling of Supply Chain Risk under Disruptions with Performance Measurement and Robustness Analysis 6. The Effects of Network Relationships on Global Supply Chain Vulnerability 7. A Stochastic Model for Supply Chain Risk Management Using Conditional Value at Risk 8. Risk Intermediation in Supply Chains 9. Forecasting and Risk Analysis in Supply Chain Management: GARCH Proof of Concept 10. Supply Chain Risk Management: Annotation of Knowledge Using A Semi-Structured Knowledge Model

Teresa Wu is an associate professor at Arizona State University, USA. Her research interests are Supply Chain Management (Supplier Evaluation); Collaborative Product Development; Distributed Decision Making; and Distributed Information System Development. She has industrial experience from three years spent with the Beijing Aviation Simulator Co. as a software engineer and system administrator. Teresa Wu was given the Nationa Science Foundation CAREER award (2003-2008).

Jennifer Blackhurst, Ph.D. is an Associate Professor of Logistics and Supply Chain Management in the College of Business at Iowa State University. She received her doctorate in Industrial Engineering from the University of Iowa in 2002. Her research interests include: Supply Chain Risk and Disruption; Supply Chain Coordination; and Supplier Assessment and Selection. Her publications have appeared or been accepted in such journals as Journal of Operations Management, Production and Operations Management, International Journal of Production Research, and IEEE Transactions on Engineering Management. She is a member of POMS and DSI.

Presents topics on the assessment, modelling and monitoring of supply chain risk

Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 232 p.

15.5x23.5 cm

Sous réserve de disponibilité chez l'éditeur.

Prix indicatif 158,24 €

Ajouter au panier