Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Kosasih, Edward"'
Autor:
Kosasih, Edward Elson1 (AUTHOR) eek31@cantab.ac.uk, Brintrup, Alexandra1,2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Oct2024, p1-23. 23p. 5 Illustrations.
Autor:
Kosasih, Edward Elson1 (AUTHOR) eek31@cam.ac.uk, Margaroli, Fabrizio2 (AUTHOR), Gelli, Simone2 (AUTHOR), Aziz, Ajmal1 (AUTHOR), Wildgoose, Nick3 (AUTHOR), Brintrup, Alexandra1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Aug2024, Vol. 62 Issue 15, p5596-5612. 17p.
Autor:
Brintrup, Alexandra1 (AUTHOR) ab702@cam.ac.uk, Kosasih, Edward1 (AUTHOR), Schaffer, Philipp1 (AUTHOR), Zheng, Ge1 (AUTHOR), Demirel, Guven2 (AUTHOR), MacCarthy, Bart L.3 (AUTHOR)
Publikováno v:
International Journal of Production Research. Jul2024, Vol. 62 Issue 13, p4674-4695. 22p.
Lithium-ion batteries are powering the ongoing transportation electrification revolution. Lithium-ion batteries possess higher energy density and favourable electrochemical properties which make it a preferable energy source for electric vehicles. Pr
Externí odkaz:
http://arxiv.org/abs/2111.09314
Supply chain network data is a valuable asset for businesses wishing to understand their ethical profile, security of supply, and efficiency. Possession of a dataset alone however is not a sufficient enabler of actionable decisions due to incomplete
Externí odkaz:
http://arxiv.org/abs/2107.10609
Digital twin technology has been regarded as a beneficial approach in supply chain development. Different from traditional digital twin (temporal dynamic), supply chain digital twin is a spatio-temporal dynamic system. This paper explains what is 'tw
Externí odkaz:
http://arxiv.org/abs/2107.09485
Although safety stock optimisation has been studied for more than 60 years, most companies still use simplistic means to calculate necessary safety stock levels, partly due to the mismatch between existing analytical methods' emphases on deriving pro
Externí odkaz:
http://arxiv.org/abs/2107.00913
Autor:
Kosasih, Edward Elson, Cabezas, Joaquin, Sumba, Xavier, Bielak, Piotr, Tagowski, Kamil, Idanwekhai, Kelvin, Tjandra, Benedict Aaron, Jamasb, Arian Rokkum
In order to advance large-scale graph machine learning, the Open Graph Benchmark Large Scale Challenge (OGB-LSC) was proposed at the KDD Cup 2021. The PCQM4M-LSC dataset defines a molecular HOMO-LUMO property prediction task on about 3.8M graphs. In
Externí odkaz:
http://arxiv.org/abs/2106.15529
Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation and forecasting. However, the theoretical framework and practical implementations of digital twi
Externí odkaz:
http://arxiv.org/abs/2011.02833
Autor:
Kosasih, Edward Elson1 (AUTHOR) eek31@cam.ac.uk, Papadakis, Emmanuel2 (AUTHOR), Baryannis, George2 (AUTHOR), Brintrup, Alexandra1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Feb2024, Vol. 62 Issue 4, p1510-1540. 31p.