Optimizing the allocation of technological resources of an air transport system in the presence of a schedule and fuzzy input data
| Autor: | V. A. Romanenko |
|---|---|
| Jazyk: | English<br />Russian |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, Vol 20, Iss 3, Pp 160-170 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2542-0453 2541-7533 |
| DOI: | 10.18287/2541-7533-2021-20-3-160-170 |
| Popis: | The problem of optimal allocation of technological resources (operators) of a technical or organizational-technical system, designed to serve certain objects (operands) according to a given schedule, is considered. We take into account the necessity of incorporating, together with the main, preparatory and final operations, the possibility to select one or several operators for operand service into the service process, as well as the dependence of the operations duration on the factors characterized by uncertainty. Due to the supposed absence of statistics, expert-assigned indefinite values in the form of triangular fuzzy numbers are used. The optimization problem is formulated as a mathematical programming problem with a fuzzy criterion and clear-cut constraints, consisting in finding such a distribution of a given number of operators to serve each operand from a given set which minimizes the target function that takes into account deviations from the schedule (delay) with the service termination. Typical examples of systems for which the problem is relevant are the production complexes of air transport enterprises operating in conditions of uncertainty when it is necessary to ensure the regularity and safety of air transportation. A model example of solving the problem of allocating mobile refueling facilities at a hub airport, taking into account the peculiarities of its schedule, is presented. It is shown that the capabilities of standard personal computer software are sufficient for the solution. |
| Databáze: | Directory of Open Access Journals |
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