Abstract
This paper describes a Planning and Scheduling Service (Pss) to support the Increment Planning Process for the International Space Station (ISS) payload management. The Pss is described while targeting the planning of experiments in the Fluid Science Laboratory (FSL), an ISS facility managed by Telespazio User Support and Operation Centre (T-USOC) that has been identified as a representative case study due to its complexity. The timeline-based approach inside the Pss is evaluated against realistic planning benchmark problems.
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Cesta, A., De Benedictis, R., Orlandini, A., Rasconi, R., Carotenuto, L., Ceriello, A. (2013). Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_20
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DOI: https://doi.org/10.1007/978-3-642-38577-3_20
Publisher Name: Springer, Berlin, Heidelberg
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