Decision support system for supplying logistics when supplying residents of small cities with drinking water in extreme cases

dc.contributor.authorZakabula, O.
dc.date.accessioned2022-11-04T12:09:54Z
dc.date.available2022-11-04T12:09:54Z
dc.date.issued2022
dc.descriptionZakabula O. Decision support system for supplying logistics when supplying residents of small cities with drinking water in extreme cases / O. Zakabula ; advisor O. Melnykov // Black Sea Science 2022 : proc. of the Intern. Competition of Student Scientific Works / Odesa National University of Technology ; eds. B. Yegorov, M. Mardar [et al.]. – Odessa : ONUT, 2022. – P. 358–370 : tabl., fig. – Ref.: 19 tit.uk_UA
dc.description.abstractThis work is devoted to solving the problem of water delivery to residents of small settlements with a temporary disruption of their traditional water supply. The existing software tools are considered, their shortcomings are analyzed. The task of developing specialized software is formulated – a decision support system that allows you to calculate the optimal number of tanks, pave the way for each tank, and also determine the places of their best location in each district to maximize the satisfaction of all its inhabitants. Models and methods of the traveling salesman problem, finding the center of a cluster taking into account the weights of objects, connecting google maps to an autonomous application are described. An example of using the developed system for calculating the route and position of tanks providing the city of Toretsk in Donetsk region is given. The ways of further improvement of the model and application are outlined.uk_UA
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/23782
dc.subjectwater deliveryuk_UA
dc.subjecttraveling salesman problemuk_UA
dc.subjectoptimal routeuk_UA
dc.subjectcluster centeruk_UA
dc.subjectgoogle mapsuk_UA
dc.titleDecision support system for supplying logistics when supplying residents of small cities with drinking water in extreme casesuk_UA
dc.typeArticleuk_UA
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
Black_Sea_Sci_2022_Zakabula.pdf
Розмір:
16.69 MB
Формат:
Adobe Portable Document Format
Опис:
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Зібрання