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Optimization of Innovative Solutions in Oil Refining: Methodology and Mathematical Support

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Proceedings of the International Conference Engineering Innovations and Sustainable Development

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 210))

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Abstract

The article investigates the issues of innovative management in oil refining. We consider the situation when there are several options for investment projects, from which we need to choose the best one. The analysis and comparison of options is carried out on the basis of a methodology that regulates a set of key project performance indicators. To calculate these indicators, you need to know the elements of the cost and result flow of each project. In other words, we need to know how certain technological changes will affect the main technical and economic indicators of production. In the oil refining production, this is quite a difficult task, since changes in one link of the technological process affect other links and the results of the entire production. To determine how the modernization of installations affects the intensity and quality characteristics of material flows, the costs of fuel, electricity and other ingredients, and, ultimately, the economic indicators, a comprehensive optimization model is proposed. On the basis of this model, a computer program has been developed to calculate the dynamics of the main technical and economic indicators as a result of the phased reconstruction of existing or newly entered production facilities. An example of the use of the suggested software for the analysis of options for the reconstruction of an oil refinery is given.

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References

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Sizikov, A.P. (2022). Optimization of Innovative Solutions in Oil Refining: Methodology and Mathematical Support. In: Ashmarina, S.I., Mantulenko, V.V. (eds) Proceedings of the International Conference Engineering Innovations and Sustainable Development. Lecture Notes in Civil Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-030-90843-0_31

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  • DOI: https://doi.org/10.1007/978-3-030-90843-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90842-3

  • Online ISBN: 978-3-030-90843-0

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