Abstract

Purpose: To obtain analytical dependencies for the optimal allocation of resources of various type recovery trains with the purpose to restore in the shortest possible timeframes of railway facilities destroyed as a result of regional emergences. Methods: A heuristic method of optimal resource allocation of various type recovery trains through railway facilities, destroyed as a result of a regional emergences, is applied. Proof of the optimality of the proposed heuristic method is given. Results: Within the proposed method frames, new analytical dependencies are derived for the distribution of resources of recovery trains of various types through railway facilities destroyed as a result of regional emergences. Mathematical formulation, based on the formulation of non-linear model of operations research theory, as well as solution algorithm of the task for the distribution of resources of recovery trains of various types through railway facilities destroyed as a result of emergences of a regional scale are given. Practical significance: On the basis of the considered dependencies, it is possible to increase the efficiency of calculation operativeness allowing to embody reasonable allocation of recovery trains of various types for the restoration of railway facilities destroyed as a result of regional emergences. The results of the study can be applied to the creation of informational-predicted systems that promptly implement the proposed analytical dependencies for more efficient restoration of railway facilities destroyed as a result of emergences of a regional importance.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.