Abstract
Studies have been performed to improve the process of waste management. They were fulfilled by changing the base of waste logistics management using a combination of intelligent algorithms and the IMPACT IoT platform instead of a human factor. The research was carried out on the example of real data with respect to waste management in a given area. The proposed solution includes a program that simulates the filling of specific waste containers located in various areas. The determined aspects are inconveniences on the routes, affecting the time of moving between the receiving points and the distances between the containers. The variability of the speed and intensity of the containers filling up over time is an additional factor taken into account. The proposed methods yielded the performance of the control of the containers’ filling status in real time, which apparently results in the possibility of a reaction to the current demand just in time. The proposed solution enables the improvement of the waste logistics management process, including avoiding the too-frequent emptying of containers or overfilling them. The combination of the device prototype, the simulation program, and the developed algorithms opens the possibility for further research in the smart city and optimization areas.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference48 articles.
1. A Case Study on Municipal Solid Waste Management in Salt Lake City;Int. J. Eng. Sci. Technol. (IJEST),2011
2. Disassembly Sequence Planning for Safe Disposal of End-of-Life Waste Electric and Electronic Equipment;Natl. Acad. Sci. Lett.,2021
3. Waste management, waste resource facilities and waste conversion processes;Energy Convers. Manag.,2011
4. Weinstein, M., and Turner, R. (2012). Sustainability Science, Springer.
5. O`Brien, M. (2011). A Crisis of Waste? Understanding the Rubbish Society, Taylor & Francis Group.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献