Managing supply chain risk and vulnerability: tools and methods for supply chain decision makers

Managing supply chain risk and vulnerability: tools and methods for supply chain decision makers

Wu, T.
Blackhurst, J.

155,95 €(IVA inc.)

A supply chain can be defined as a network of firms that work together to convert and move goods from the raw material stage to the end user. Effective supply chain management is a critical component of a company’s ability to fill consumer demand, regardless of the industry. In fact, some scholars argue that survival in the modern business environment is no longer an issue of one firm competing against another firm but has, instead, become an issue of one supply chain competing against another supply chain. Supply chain disruptions are unplanned and unanticipated events that disrupt the normal flow of goods and materials within a supply chain and, as a consequence, expose firms within the supply chain to operational and financial risks. Because a supply chain disruption can potentially be so harmful and costly, there has been a recent surge in interest – from academics and practitioners alike – regarding supply chain disruptions and related issues. Presents topics on the assessment, modelling and monitoring of supply chain risk INDICE: 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 Effectsof 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.

  • ISBN: 978-1-84882-633-5
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 395
  • Fecha Publicación: 01/12/2009
  • Nº Volúmenes: 1
  • Idioma: Inglés