Risk management in supply chains using linear and non-linear models
"The book examines a relatively unexplored issue in supply chain risk management, which is how long companies specifically take to respond to catastrophic events of low probability but high impact. The book also looks at why such supply chain disruptions are unavoidable and consequently, all co...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
London, New York
Routledge
2020
|
| Schriftenreihe: | Routledge advances in risk management
|
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen | Zusammenfassung: | "The book examines a relatively unexplored issue in supply chain risk management, which is how long companies specifically take to respond to catastrophic events of low probability but high impact. The book also looks at why such supply chain disruptions are unavoidable and consequently, all complex supply chains are inherently at risk. The book illustrates how companies can respond to supply chain disruptions with faster response and in shorter lead-time to reduce impact. In reducing total response time, designing solutions, and deploying a recovery plan sooner after a disruption in anticipation of such events, companies reduce impact of disruption risk. The book also explores the basics of multiple-criteria decision-making (MCDM) and analytic hierarchy process (AHP) and how they contribute to both the quality of the financial economic decision-making process and the quality of the resulting decisions. The book illustrates through cases in the construction sector and how this industry has become more complex and riskier due to the diverse nature of activities among global companies"-- |
|---|---|
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xiv, 250 Seiten Illustrationen |
| ISBN: | 9780367359515 978-0-367-35951-5 9780429342820 |