GENETIC ALGORITHMS BASED APPROACH FOR TRANSHIPMENT HUB LOCATION IN URBAN AREAS | Zendy

Emilian Szczepański | Zendy; Ilona Jacyna-Gołda | Zendy; Jakub Murawski | Zendy

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GENETIC ALGORITHMS BASED APPROACH FOR TRANSHIPMENT HUB LOCATION IN URBAN AREAS

Author(s) -

Emilian Szczepański,

Ilona Jacyna-Gołda,

Jakub Murawski

Publication year - 2014

Publication title -

archives of transport

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.309

H-Index - 14

eISSN - 2300-8830

pISSN - 0866-9546

DOI - 10.5604/08669546.1146989

Subject(s) - genetic algorithm , reliability (semiconductor) , computer science , point (geometry) , process (computing) , routing (electronic design automation) , mathematical optimization , facility location problem , service (business) , supply chain , location model , distribution (mathematics) , supply chain network , vehicle routing problem , location allocation , operations research , supply chain management , engineering , mathematics , computer network , machine learning , business , power (physics) , mathematical analysis , physics , geometry , quantum mechanics , marketing , operating system

Points of distribution, sales or service are important elements of the supply chain. These are the final elements which are responsible for proper functioning of the whole cargo distribution process. Proper location of these points in the transport network is essential to ensure the effectiveness and reliability of the supply chain. The location of these points is very important also from the consumers point of view. In this paper developed method of points location was present on the example of urban transport network. The developed approach is based on the Vehicle Routing Problem in the multistage distribution systems. The proposed method uses a genetic algorithm. Article also presents a mathematical model of delivery cost as a criterion function. The article presents an example calculations which illustrating the operation of the developed method.

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