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• W2022821878 abstract "Abstract Most of the research on service selection treat the quality of service (QoS) as deterministic quantities and only consider the optimization of service supply chain at design time. However, the stochastic nature of services and the dynamic execution of service supply chain are unavoidable. The paper explicitly takes into account the QoS-related uncertainty. Based on the four execution structures of service supply chain, the dynamic Quality-of-Service (QoS) aware selection problem is formulated as a Stochastic Linear Programming (SLP) model. Compared with the current methods in which the QoS measures are deterministic and the services are selected on the fly, the proposed approach is novelty and can support the optimal execution of service supply chain effectively." @default.
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• W2022821878 date "2013-01-01" @default.
• W2022821878 modified "2023-09-24" @default.
• W2022821878 title "Dynamic Service Selection at Runtime for Service Supply Chain" @default.
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• W2022821878 doi "https://doi.org/10.3182/20130619-3-ru-3018.00050" @default.
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