Abstract
The paper considers decision aids digitalization for large environmental logistic projects within Industry 4.0 in the context of modern global economic crisis in last years. In the study, Foresight technologies, theory of decision making under uncertainties and risk management are used. The methods of data bases constructing, web-technologies and virtual reality tools are also used. For the main method of digitalization, it is proposed to use digital online platforms that integrate heterogeneous hardware and software resources using web technologies in distributed networks and a wide use of cloud services. As a result, a structural model that combines the investment objectives with cost of adequate decision support adapted to COVID-19 pandemic and climate change conditions is proposed. The paper demonstrates decision-making support for a large environmental logistic project to expand the cargo turnover of Russian seaports in the Gulf of Finland eastern part. The research results have significant scientific novelty and can be useful for private investors, public environmental organizations and environmental control bodies.
Keywords
- Digitalization
- Decision support
- Logistics
- Environmental project
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Lukyanov, S., Abramov, V., Popov, N., Petrov, Y., Gogoberidze, G. (2022). Decision Support Digitalization for Large Environmental Logistic Projects. In: Beskopylny, A., Shamtsyan, M. (eds) XIV International Scientific Conference “INTERAGROMASH 2021". Lecture Notes in Networks and Systems, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-81619-3_75
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DOI: https://doi.org/10.1007/978-3-030-81619-3_75
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