FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2772594275> ?p ?o ?g. }

• W2772594275 endingPage "68" @default.
• W2772594275 startingPage "53" @default.
• W2772594275 abstract "Distributionally robust optimization (DRO) is an emerging and effective method to address the inexactness of probability distributions of uncertain parameters in decision-making under uncertainty. We propose an effective DRO framework for planning and scheduling under demand uncertainties. A novel data-driven approach is proposed to construct ambiguity sets based on principal component analysis and first-order deviation functions, which help excavating accurate and useful information from uncertainty data. Moreover, it leads to mixed-integer linear reformulations of planning and scheduling problems. To account for the multi-stage sequential decision-making structure in process operations, we further develop multi-stage DRO models and adopt affine decision rules to address the computational issue. Applications in industrial-scale process network planning and batch process scheduling demonstrate that, the proposed DRO approach can effectively leverage uncertainty data information, better hedge against distributional ambiguity, and yield more profits." @default.
• W2772594275 created "2017-12-22" @default.
• W2772594275 creator A5029041038 @default.
• W2772594275 creator A5062751420 @default.
• W2772594275 date "2018-02-01" @default.
• W2772594275 modified "2023-10-06" @default.
• W2772594275 title "Distributionally robust optimization for planning and scheduling under uncertainty" @default.
• W2772594275 cites W1968355947 @default.
• W2772594275 cites W1977976806 @default.
• W2772594275 cites W1985634562 @default.
• W2772594275 cites W1990275757 @default.
• W2772594275 cites W1994024252 @default.
• W2772594275 cites W2009959507 @default.
• W2772594275 cites W2021368110 @default.
• W2772594275 cites W2021472931 @default.
• W2772594275 cites W2026109042 @default.
• W2772594275 cites W2031279008 @default.
• W2772594275 cites W2078135889 @default.
• W2772594275 cites W2083259944 @default.
• W2772594275 cites W2085371297 @default.
• W2772594275 cites W2089468765 @default.
• W2772594275 cites W2095641672 @default.
• W2772594275 cites W2117156423 @default.
• W2772594275 cites W2118475017 @default.
• W2772594275 cites W2119303899 @default.
• W2772594275 cites W2125417745 @default.
• W2772594275 cites W2132198138 @default.
• W2772594275 cites W2137527671 @default.
• W2772594275 cites W2156168813 @default.
• W2772594275 cites W2163033402 @default.
• W2772594275 cites W2164779904 @default.
• W2772594275 cites W2172604180 @default.
• W2772594275 cites W2205708137 @default.
• W2772594275 cites W2219960008 @default.
• W2772594275 cites W2299174571 @default.
• W2772594275 cites W2329263347 @default.
• W2772594275 cites W2337315713 @default.
• W2772594275 cites W2342510373 @default.
• W2772594275 cites W2583892349 @default.
• W2772594275 cites W2600983611 @default.
• W2772594275 cites W2612202672 @default.
• W2772594275 cites W2728742075 @default.
• W2772594275 cites W2734426901 @default.
• W2772594275 cites W2763770190 @default.
• W2772594275 doi "https://doi.org/10.1016/j.compchemeng.2017.12.002" @default.
• W2772594275 hasPublicationYear "2018" @default.
• W2772594275 type Work @default.
• W2772594275 sameAs 2772594275 @default.
• W2772594275 citedByCount "101" @default.
• W2772594275 countsByYear W27725942752018 @default.
• W2772594275 countsByYear W27725942752019 @default.
• W2772594275 countsByYear W27725942752020 @default.
• W2772594275 countsByYear W27725942752021 @default.
• W2772594275 countsByYear W27725942752022 @default.
• W2772594275 countsByYear W27725942752023 @default.
• W2772594275 crossrefType "journal-article" @default.
• W2772594275 hasAuthorship W2772594275A5029041038 @default.
• W2772594275 hasAuthorship W2772594275A5062751420 @default.
• W2772594275 hasBestOaLocation W27725942751 @default.
• W2772594275 hasConcept C126255220 @default.
• W2772594275 hasConcept C127413603 @default.
• W2772594275 hasConcept C153083717 @default.
• W2772594275 hasConcept C154945302 @default.
• W2772594275 hasConcept C193254401 @default.
• W2772594275 hasConcept C199360897 @default.
• W2772594275 hasConcept C206729178 @default.
• W2772594275 hasConcept C2780522230 @default.
• W2772594275 hasConcept C33923547 @default.
• W2772594275 hasConcept C41008148 @default.
• W2772594275 hasConcept C42475967 @default.
• W2772594275 hasConceptScore W2772594275C126255220 @default.
• W2772594275 hasConceptScore W2772594275C127413603 @default.
• W2772594275 hasConceptScore W2772594275C153083717 @default.
• W2772594275 hasConceptScore W2772594275C154945302 @default.
• W2772594275 hasConceptScore W2772594275C193254401 @default.
• W2772594275 hasConceptScore W2772594275C199360897 @default.
• W2772594275 hasConceptScore W2772594275C206729178 @default.
• W2772594275 hasConceptScore W2772594275C2780522230 @default.
• W2772594275 hasConceptScore W2772594275C33923547 @default.
• W2772594275 hasConceptScore W2772594275C41008148 @default.
• W2772594275 hasConceptScore W2772594275C42475967 @default.
• W2772594275 hasFunder F4320306076 @default.
• W2772594275 hasLocation W27725942751 @default.
• W2772594275 hasOpenAccess W2772594275 @default.
• W2772594275 hasPrimaryLocation W27725942751 @default.
• W2772594275 hasRelatedWork W2156284123 @default.
• W2772594275 hasRelatedWork W2772088927 @default.
• W2772594275 hasRelatedWork W2784321886 @default.
• W2772594275 hasRelatedWork W2946543850 @default.
• W2772594275 hasRelatedWork W3007016821 @default.
• W2772594275 hasRelatedWork W3157390043 @default.
• W2772594275 hasRelatedWork W4292217711 @default.
• W2772594275 hasRelatedWork W4300960065 @default.
• W2772594275 hasRelatedWork W4319303015 @default.
• W2772594275 hasRelatedWork W4377192880 @default.
• W2772594275 hasVolume "110" @default.
• W2772594275 isParatext "false" @default.
• W2772594275 isRetracted "false" @default.

• next