Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

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Jump to: 2020 | 2015 | 2012
Number of items: 5.

2020

Stüve, David and van der Meer, Robert and Lütke Entrup, Matthias and Ali Agha, Mouhamad Shaker; Ringle, Christian M. and Blecker, Thorsten and Kersten, Wolfgang, eds. (2020) Supply chain planning in the food industry. In: Data Science and Innovation in Supply Chain Management. Proceedings of the Hamburg International Conference of Logistics (HICL), 29 . epubli, Berlin, pp. 317-353. ISBN 978-3-753123-46-2

Stuve, David and van der Meer, Robert and Lütke Entrup, Matthias and Ali Agha, Mouhamad Shaker (2020) Supply chain planning in the food industry : a systematic literature review. In: Hamburg International Conference on Logistics 2020, 2020-09-23 - 2020-09-25, Hamburg University of Technology.

2015

Ali Agha, Mouhamad Shaker and van der Meer, Robert and Walls, Lesley (2015) Dynamic Bayesian network modelling of supply chain resilience : learning from multiple cases. In: 27th European Conference on Operational Research (EURO XXVII), 2015-07-12 - 2015-07-15, University of Strathclyde.

2012

Mouhamad Shaker, Ali Agha and Van Der Meer, Robert and Walls, Lesley (2012) Modelling supply network reliability using dynamic Bayesian networks. In: Hamburg International Conference on Logistics 2012, 2012-09-05 - 2012-09-06.

Ali Agha, Mouhamad Shaker and van der Meer, Robert and Walls, Lesley; Blecker, Thorsten and Kersten, Wolfgang and Ringle, Christian M., eds. (2012) Modeling supply network reliability and resilience using dynamic Bayesian networks. In: Pioneering Supply Chain Design. Josef Eul Verlag, Lohmar, Germany, pp. 249-264. ISBN 9783844101812

This list was generated on Mon Dec 6 19:03:08 2021 GMT.