Logistic Task of Fuel Supply for the Regional Distributed Heat Supply System

Ivan Rusyak (), Karolina Ketova () and Ekaterina Trushkova ()
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Ivan Rusyak: Izhevsk State Technical University, Izhevsk, Russia
Karolina Ketova: Izhevsk State Technical University, Izhevsk, Russia
Ekaterina Trushkova: Izhevsk State Technical University, Izhevsk, Russia

Journal of Knowledge Management, Economics and Information Technology, 2011, vol. 1, issue 7, 32

Abstract: The technique for solving the logistic task of fuel supply in the region, including the interconnected tasks of routing, clustering, optimal distribution of resources and stock control is proposed. The complex algorithm for solving the routing task contains Astar method, Yen method, as well as the genetic algorithm adapted for the task being solved. To identify the location of facilities for fuel preparation the two-stage algorithm of cluster analysis applying the hierarchical cluster analysis and method of k-averages has been worked out. The effective algorithm for solving the task of optimal resource distribution on district and regional has been proposed. To solve the task of optimal stock control the hybrid algorithm consisting of genetic algorithm and Hooke-Jeeves method has been applied. The calculations have been carried out on the example of fuel supply system of the Udmurt Republic.

Keywords: logistics; fuel supply; routing; clustering; stock control; genetic algorithm (search for similar items in EconPapers)
Date: 2011
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