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Stawiński Piotr (Szkoła Główna Handlowa w Warszawie)
Use of genetic algorithms in supply chain management : literature review and current trends
Edukacja Ekonomistów i Menedżerów : problemy, innowacje, projekty, 2013, nr 1 (27), s. 167-184, bibliogr. poz. 24
Education of Economists and Managers : problems, innovations, projects
Słowa kluczowe
Zarządzanie łańcuchem dostaw, Algorytmy genetyczne, Optymalizacja
Supply Chain Management (SCM), Genetic algorithms, Optimalization
For the past few decades SCM has been one of the main objectives in research and practice. Since that time researchers have developed a lot of methods and procedures which optimized this process. To create an efficient supply chain network the resources and factories must be tightly integrated. The most supply chain network designs have multiple layers, members, periods, products, and comparative resources constraints exist between different layers. Supply chain networks design is related to the problems which are very popular in literature. The subject of this paper is to present the variants, configurations and parameters of genetic algorithm (GA) for solving supply chain network design problems. We focus on references from 2000 to 2011. Furthermore, current trends are introduced and discussed. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej w Warszawie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu
Pełny tekst
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