Sustainability-Driven Green Innovation : Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System
Mutanov, G., Omirbekova, Z., Shaikh, A. A., & Issayeva, Z. (2024). Sustainability-Driven Green Innovation : Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System. Sustainability, 16(1), Article 41. https://doi.org/10.3390/su16010041
Julkaistu sarjassa
SustainabilityPäivämäärä
2024Tekijänoikeudet
© 2023 by the authors
Green innovation refers to developing and implementing new technologies, practices, products, and processes that promote sustainability and reduce environmental impacts. This article postulates the conceptualisation and implementation of an intelligent decision support system (IDSS) tailored to the aerospace technology sector. The data were collected from open sources such as social media and analyzed using the natural language processing tool. The envisaged IDSS is a comprehensive and seamlessly integrated platform designed to undergird decision-making, problem-solving, and research initiatives within the aerospace industry. Catering to the sector’s engineers, technicians, and managerial cadres, it aims to unravel complex datasets, proffer incisive analyses, and furnish prudent advice and recommendations. Its multifaceted capabilities range from data search and optimisation to modelling and forecasting. With an emphasis on harmonious integration with extant aerospace systems, it strives to provide engineers and technicians with enriched data insights. Moreover, its design ethos is centred on user-friendliness, underscored by an intuitive graphical interface that expedites seamless access and utilisation. Ultimately, the envisioned IDSS will augment the aerospace industry’s analytical prowess and will serve as a potent instrument for effective decision-making.
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Julkaisija
MDPIISSN Hae Julkaisufoorumista
2071-1050Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/197402076
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Kauppakorkeakoulu [1366]
Lisätietoja rahoituksesta
This research was funded by the Aerospace Committee of the Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan, grant number: BR11265420.Lisenssi
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