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:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Abingdon, Oxon
Routledge
2020
|
| Schriftenreihe: | Routledge advances in risk management
Routledge advances in risk management |
| Schlagworte: | |
| Online-Zugang: | FWS01 FWS02 UBY01 Volltext |
| 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: | 1 online resource (xiv, 250 pages) |
| ISBN: | 9780429342820 0429342829 1000707555 9781000707298 1000707296 9781000707427 1000707423 9781000707557 |
| DOI: | 10.4324/9780429342820 |
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
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| id | DE-604.BV047007483 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:58:04Z |
| indexdate | 2024-08-01T10:59:43Z |
| institution | BVB |
| isbn | 9780429342820 0429342829 1000707555 9781000707298 1000707296 9781000707427 1000707423 9781000707557 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032415020 |
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| publishDate | 2020 |
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| publisher | Routledge |
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| series2 | Routledge advances in risk management |
| spellingShingle | Heydari, Mohammad Lai, Kin Keung Zhou, Xiaohu Risk management in supply chains using linear and non-linear models Business logistics Risk management Mathematical models |
| title | Risk management in supply chains using linear and non-linear models |
| title_auth | Risk management in supply chains using linear and non-linear models |
| title_exact_search | Risk management in supply chains using linear and non-linear models |
| title_exact_search_txtP | Risk management in supply chains using linear and non-linear models |
| title_full | Risk management in supply chains using linear and non-linear models Mohammad Heydari, Kin Keung Lai and Zhou Xiaohu |
| title_fullStr | Risk management in supply chains using linear and non-linear models Mohammad Heydari, Kin Keung Lai and Zhou Xiaohu |
| title_full_unstemmed | Risk management in supply chains using linear and non-linear models Mohammad Heydari, Kin Keung Lai and Zhou Xiaohu |
| title_short | Risk management in supply chains |
| title_sort | risk management in supply chains using linear and non linear models |
| title_sub | using linear and non-linear models |
| topic | Business logistics Risk management Mathematical models |
| topic_facet | Business logistics Risk management Mathematical models |
| url | https://doi.org/10.4324/9780429342820 |
| work_keys_str_mv | AT heydarimohammad riskmanagementinsupplychainsusinglinearandnonlinearmodels AT laikinkeung riskmanagementinsupplychainsusinglinearandnonlinearmodels AT zhouxiaohu riskmanagementinsupplychainsusinglinearandnonlinearmodels |