The COVID-19 pandemic before mass vaccination can be restrained only by the limitation of contacts between people, which makes the digital economy a key condition for survival. More than half of the world’s population lives in urban areas, and many cities have already transformed into “smart” digital/virtual hubs. Digital services ensure city life safe without an economy lockout and unemployment. Urban society strives to be safe, sustainable, well-being, and healthy. We set the task to construct a hybrid sociological and technological concept of a smart city with matched solutions, complementary to each other. Our modeling with the elaborated digital architectures and with the bionic solution for ensuring sufficient data governance showed that a smart city in comparison with the traditional city is tightly interconnected inside like a social “organism”. Society has entered a decisive decade during which the world will change by moving closer towards SDGs targets 2030 as well as by the transformation of cities and their digital infrastructures. It is important to recognize the large vector of sociological transformation as smart cities are just a transition phase to human-centered personal space or smart home. The “atomization” of the world urban population raises the gap problem in achieving SDGs because of different approaches to constructing digital architectures for smart cities or smart homes in countries. The strategy of creating smart cities should bring each citizen closer to SDGs at the individual level, laying in the personal space the principles of sustainable development and wellness of personality.
Supply chain management is a burning issue for modern industrial enterprises. To handle this issue, non-linear stochastic models are successfully applied to find the reasonable and efficient solutions. A need to develop a unique method to find the solutions to supply chain management tasks defined as stochastic mixed-integer non-linear programming tasks is determined by the limitations imposed by the general models. The sum of the total raw procurement costs from the Commodity Exchange over the defined planning horizon is taken to be the target function of the unique model, while the binary variables which show whether a purchasing order is included into the procurement plan are used for optimization purposes. Some parameters of model’s limitations are stochastic and consider the uncertainty factor and risks in supplying the required raw materials to the manufacturing site. Branch-and-bound and genetic algorithms are applied at some steps in the developed heuristic algorithm. The algorithm and the model are tested at a major timber processing enterprise in Primorsky Area. Four types of processors over three planning horizons were applied to compare the efficiency of the proposed algorithm with partial application of the genetic algorithm or branch-and-bound method. The findings analysis shows that, unlike the genetic algorithm, the unique one is more stable in terms of uncertainty of the input parameters in comparison with the branch-and-bound method. It provides the solutions in the models with a great number of variables. The algorithm is shown to be universal enough for its further modification in solving more complicated problems of the same class, containing a significantly larger number of probabilistic parameters that describe other uncertainties in the supply of raw materials. Further research is seen to include the development of the proposed algorithm to increase the rate of convergence for its better efficiency.
Запропоновано нечіткий метод формування порт-феля заходів в області розвитку людського капіталу університету. Розглянуто модель, цільовою функ-цією якої є інтегральний показник, що оцінює про-сування по досягненню цільових значень показників завдань університету. Змінними, за якими прово-диться оптимізація, є булеві змінні включеності в портфель заходу, спрямованого на розвиток люд-ського капіталу співробітників підрозділів універси-тету в певний момент часу Ключові слова: людський капітал, економіко-ма-тематичне моделювання, стратегічні заходи, управ-ління університетом, нечітко-множинний підхід Предложен нечеткий метод формирования порт-феля мероприятий в области развития человеческого капитала университета. Рассмотрена модель, целе-вой функцией которой является интегральный пока-затель, оценивающий продвижение по достижению целевых значений показателей задач университета. Переменными, по которым проводится оптимизация, являются булевы переменные включенности в порт-фель мероприятия, направленного на развитие чело-веческого капитала сотрудников подразделений уни-верситета в определенный момент времени Ключевые слова: человеческий капитал, экономи-ко-математическое моделирование, стратегические мероприятия, управление университетом, нечетко-множественный подход UDC 65.01
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