Determining the Number of Solid Waste Containers Based on Dynamic Demographic Data
Abstract
Abstract. The article, within the framework of operational management systems and remote control of mobile platforms, considers the problem of determining the number of containers for solid household waste in conditions of dynamic demographic changes. It is shown that the use of traditional static approaches to planning a container economy, which are based on outdated or unsynchronized data on the population, leads to an imbalance between the actual volumes of waste generation and the parameters of their collection and removal.
The purpose of the study is to develop and substantiate an approach to integrating dynamic demographic data into the organizational and information management circuit in order to increase the accuracy of planning and adaptability of waste collection and transportation systems. To achieve this goal, the work uses a systems approach, a normative modeling method, elements of process description, and a method of dynamic recalculation of control parameters.
A dynamic model of integration and updating of demographic information from official state and municipal digital registers is proposed, which provides automated recalculation of the number of containers, removal schedules and input parameters for the formation of tasks for the operational management of mobile platforms. The model is considered as an element of the organizational and informational control circuit and belongs to the class of decision support systems.
It is shown that the use of updated demographic data allows to increase the accuracy of container supply planning, to identify the causes of deviations from the normative level of container filling, to optimize the routes of mobile platforms, to reduce operating costs and to ensure the adaptability of the system in conditions of demographic fluctuations. The results obtained can be used to improve the quality of service provision in the field of household waste management and the further development of intelligent operational management systems.
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