Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922488894> ?p ?o ?g. }
- W2922488894 endingPage "323" @default.
- W2922488894 startingPage "306" @default.
- W2922488894 abstract "Chemical supply chains are a crucial component in the ongoing supply of large population centres. Unfortunately, episodes of extreme weather have, in recent years, revealed vulnerabilities in global supply networks to high-impact events. With a possible increase in both frequency and intensity of these events due to climate change, supply chains are at risk of disruption now more than ever, with potential dire economic, societal, and environmental consequences. Acknowledging that the direct application of stochastic programming in this context can quickly lead to very large CPU times, we propose an algorithm that combines the sample average approximation method with a selection heuristic for extreme event scenarios. Our method allows to analyse the tradeoff between economic performance and disruption risk, identifying supply chain configurations which are more resilient against extreme events. We demonstrate the effectiveness of this methodology in multiple case studies, showing how it identifies near optimal solutions in short CPU times." @default.
- W2922488894 created "2019-03-22" @default.
- W2922488894 creator A5050093551 @default.
- W2922488894 creator A5053385036 @default.
- W2922488894 creator A5059336153 @default.
- W2922488894 date "2019-06-01" @default.
- W2922488894 modified "2023-09-26" @default.
- W2922488894 title "Strategic planning of supply chains considering extreme events: Novel heuristic and application to the petrochemical industry" @default.
- W2922488894 cites W1570220941 @default.
- W2922488894 cites W1647779468 @default.
- W2922488894 cites W1907009527 @default.
- W2922488894 cites W1965801012 @default.
- W2922488894 cites W1971990560 @default.
- W2922488894 cites W1973796552 @default.
- W2922488894 cites W1978627504 @default.
- W2922488894 cites W1979500183 @default.
- W2922488894 cites W1983916623 @default.
- W2922488894 cites W1987951686 @default.
- W2922488894 cites W1999498240 @default.
- W2922488894 cites W2001272102 @default.
- W2922488894 cites W2009333953 @default.
- W2922488894 cites W2012315829 @default.
- W2922488894 cites W2017456434 @default.
- W2922488894 cites W2019291268 @default.
- W2922488894 cites W2025393568 @default.
- W2922488894 cites W2027778813 @default.
- W2922488894 cites W2031279008 @default.
- W2922488894 cites W2031355801 @default.
- W2922488894 cites W2038426159 @default.
- W2922488894 cites W2044121814 @default.
- W2922488894 cites W2044233090 @default.
- W2922488894 cites W2044344005 @default.
- W2922488894 cites W2045306539 @default.
- W2922488894 cites W2052775830 @default.
- W2922488894 cites W2061055177 @default.
- W2922488894 cites W2066218522 @default.
- W2922488894 cites W2070972432 @default.
- W2922488894 cites W2079525470 @default.
- W2922488894 cites W2081089147 @default.
- W2922488894 cites W2086735760 @default.
- W2922488894 cites W2086964263 @default.
- W2922488894 cites W2089036666 @default.
- W2922488894 cites W2089992496 @default.
- W2922488894 cites W2095585777 @default.
- W2922488894 cites W2096553611 @default.
- W2922488894 cites W2100140125 @default.
- W2922488894 cites W2105151233 @default.
- W2922488894 cites W2105560970 @default.
- W2922488894 cites W2109671759 @default.
- W2922488894 cites W2126966279 @default.
- W2922488894 cites W2129968864 @default.
- W2922488894 cites W2143258743 @default.
- W2922488894 cites W2168821089 @default.
- W2922488894 cites W2171328669 @default.
- W2922488894 cites W2293635851 @default.
- W2922488894 cites W2323557211 @default.
- W2922488894 cites W2342510373 @default.
- W2922488894 cites W2422164373 @default.
- W2922488894 cites W2537947696 @default.
- W2922488894 cites W2600983611 @default.
- W2922488894 cites W2742900359 @default.
- W2922488894 cites W311875751 @default.
- W2922488894 cites W3124407081 @default.
- W2922488894 doi "https://doi.org/10.1016/j.compchemeng.2019.03.020" @default.
- W2922488894 hasPublicationYear "2019" @default.
- W2922488894 type Work @default.
- W2922488894 sameAs 2922488894 @default.
- W2922488894 citedByCount "12" @default.
- W2922488894 countsByYear W29224888942020 @default.
- W2922488894 countsByYear W29224888942021 @default.
- W2922488894 countsByYear W29224888942022 @default.
- W2922488894 countsByYear W29224888942023 @default.
- W2922488894 crossrefType "journal-article" @default.
- W2922488894 hasAuthorship W2922488894A5050093551 @default.
- W2922488894 hasAuthorship W2922488894A5053385036 @default.
- W2922488894 hasAuthorship W2922488894A5059336153 @default.
- W2922488894 hasConcept C108713360 @default.
- W2922488894 hasConcept C112930515 @default.
- W2922488894 hasConcept C121332964 @default.
- W2922488894 hasConcept C126255220 @default.
- W2922488894 hasConcept C127413603 @default.
- W2922488894 hasConcept C132651083 @default.
- W2922488894 hasConcept C137631369 @default.
- W2922488894 hasConcept C144024400 @default.
- W2922488894 hasConcept C144133560 @default.
- W2922488894 hasConcept C149923435 @default.
- W2922488894 hasConcept C154945302 @default.
- W2922488894 hasConcept C162853370 @default.
- W2922488894 hasConcept C166957645 @default.
- W2922488894 hasConcept C173801870 @default.
- W2922488894 hasConcept C18903297 @default.
- W2922488894 hasConcept C192639820 @default.
- W2922488894 hasConcept C205537798 @default.
- W2922488894 hasConcept C205649164 @default.
- W2922488894 hasConcept C2779343474 @default.
- W2922488894 hasConcept C2779662365 @default.
- W2922488894 hasConcept C2908647359 @default.
- W2922488894 hasConcept C33923547 @default.