Haddad, YousefDe Bonneval, Elena GalignyAfy-Shararah, MohamedCarter, JosephArtingstall, JamesSalonitis, Konstantinos2024-05-232024-05-232024-05-17Haddad Y, De Bonneval EG, Afy-Shararah M, et al., (2024) Energy flexibility in aerospace manufacturing: the case of low carbon intensity production. Journal of Manufacturing Systems. Volume 74, June 2024, pp. 812-8250278-6125https://doi.org/10.1016/j.jmsy.2024.05.004https://dspace.lib.cranfield.ac.uk/handle/1826/21660In this paper, the prospects of energy flexibility in mitigating the environmental impact of aerospace manufacturing are explored. In collaboration with a UK-based aerospace manufacturing enterprise, demand response, in particular production time, is explored under different stochastic scenarios. This is done through a decision-support framework that consists of a stochastic discrete-event simulation model that tests different scenarios under a full factorial design of experiments framework. The simulation model tests various improvement strategies pertaining to prioritisation rules, production start-up rules, and operating hours. The model aids in scheduling energy-intensive processes, so the time of performing such processes can coincide with times of the day when the energy’s carbon intensity is at its lowest. The use case constitutes a family of aluminium structural aerospace components that are characterised by high production rate. Results demonstrate promising potential of the proposed approach, with the best-case scenario resulting in a 7% reduction in CO2e emissions. Analysis of the results demonstrate that operational decisions that do not require infrastructural changes or capital expenditures can contribute favourably to achieving net-zero targets. This research offers useful insights on leveraging operational short-term decisions to meet the aerospace manufacturing’s sector decarbonisation targets.en-UKAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Sustainable manufacturingEnergy flexibilityDemand responseAerospace manufacturingDiscrete-event simulationArticle1878-6642