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Content available A case study in school transportation logistics
EN
In the paper, a school bus routing problem, its mathematical models and solution methods are investigated. The aim of the study is to search for school bus routing problem and its solution method and to apply them for a sample case study. The case study concerns the routing and scheduling of school buses in an exemplary, well-recognized school located in one of Polish community. The problem is to find a series of school bus routes that ensure the service is provided equitably to all eligible students. Because of the NP-hardness of the school bus routing problem, it is solved using some heuristic optimization method using real data from the considered exemplary school. The aim is to increase bus utilization and to reduce transportation times for students, while maintaining on-time delivery of students to the school. Although the problem under consideration is one of the earliest logistics problems solved using methods of operations research, remains valid and is the subject of research, as evidenced by numerous contemporary publications, presenting new methods for the formal specification and solution of the problem.
EN
For the problem of integrating wind power in a large scale, constructing an objective function which minimize the total production cost of the pumped storage and thermal power unit. Improved harmony search algorithm with examples are applied in solving the objective function,and the case analysis the change of the operation cost of wind storage system and greenhouse gas emission with different power demand and wind speed forecasting scenes. The results show that the increase of wind power installed capacity can reduce the operation cost of wind storage system and reduce greenhouse gas emission. At the same time,it also can effectively smooth wind power output and lower the volatility of the wind power integration.
PL
Artykuł dotyczy zagadnienia tworzenia dużych ferm wiatrowych i kontroli kosztów wytwarzania energii. Proponowany algorytm minimalizacji strat, poddaje analizie czynniki taki jak koszty magazynowania energii, emisja gazów cieplarnianych przy różnym stopniu zapotrzebowania energetycznego i prędkości wiatru. Przedstawiono wyniki badań oraz wnioski.
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