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A MULTI-OPTIONAL HYBRID FUNCTIONS ENTROPY AS A TOOL FOR TRANSPORTATION MEANS REPAIR OPTIMAL PERIODICITY DETERMINATION
- Source :
- Aviation; Vol 22 No 2 (2018); 60-66, Aviation, Vol 22, Iss 2 (2018)
- Publication Year :
- 2018
- Publisher :
- Vilnius Gediminas Technical University, 2018.
-
Abstract
- The paper considers theoretical explanation and construction of some mathematical models of a transportation mean operational process in reference to maintenance optimal periodicity. The important finding is that the objectively existing engineering transportation means maintenance optimal periodicity is determined in the different from the probabilistic methods way. There is a scientifically proven explanation for the mentioned above periodicity optimization with the help of the specially introduced hybrid-optional effectiveness functions distribution. The developed doctrine uses the entropy paradigm conditional extremization approach. This contribution allows obtaining the wanted optimal periodicities sidestepping the related states probabilities determination and their further extremization. The essential breakthrough of the developed doctrine is that the optional objective effectiveness functions, in such a case, are the corresponding combinations of the intensities of the studied system’s possible transitions from state to state, which relates with the set of the considered operational options. Corresponding limit solutions for the zero-to-zero ratio indeterminate forms are analyzed. Theoretical speculations are illustrated with the example calculation experiments. The necessary diagrams are plotted.
- Subjects :
- 050210 logistics & transportation
Mathematical optimization
Mathematical model
Computer science
probability
05 social sciences
Aerospace Engineering
TL1-4050
hybrid-optional function
maintenance
optimal periodicity
Probabilistic method
0502 economics and business
extremization
0501 psychology and cognitive sciences
multi-optional situation
transportation mean
entropy
Indeterminate form
050107 human factors
Motor vehicles. Aeronautics. Astronautics
Subjects
Details
- ISSN :
- 18224180 and 16487788
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Aviation
- Accession number :
- edsair.doi.dedup.....a7994392ce2d21b990329f436fcabc0c