Abstract
This paper is devoted to the problem of project planning and optimal resource allocation under fuzzy estimated parameters. The effective functioning of the enterprise directly depends on the early supply and optimal resource delivery of various types. At the same time, one needs to take into consideration scheduling flexibilities of activity planning, inaccurate data, uncertain resource levelling and the resource availability. The paper takes into consideration the dynamical temporal aspect of project planning problem that introduces significant uncertainty when planning the activities for the enterprise and obtaining the optimal solution for resource allocation problem.
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Acknowledgments
The reported study was funded by the Russian Foundation for Basic Research according to the research projects N20-01-00197 and N19-07-00074.
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Kosenko, O., Bozhenyuk, A., Belyakov, S., Knyazeva, M. (2021). Optimization of Spatial-Time Planning Resource Allocation Under Uncertainty. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_171
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DOI: https://doi.org/10.1007/978-3-030-51156-2_171
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