Layout Optimization for Cognitive Material Flow Systems
Buch in deiner Nähe kaufen
Beschreibung
The lack of flexibility in today's logistics motivates the development of novel transportation systems. In this work, I address the question of optimal integration of such novel transportation systems into existing production facilities. The challenge is to simultaneously consider several conflicting objective values at the same time. For this purpose, a comprehensive mathematical model of a transportation system is created from available input parameters. Subsequently, two optimization methods (the Genetic Algorithm and Simulated Annealing) are developed and implemented.
Autor*in
Nikita Shchekutin
Themen in »Layout Optimization for Cognitive Material Flow Systems«
Fördermatrix Intralogistik Layoutoptimierung Logistik Materialflusssysteme genetic algorithm genetische Algorithmen layout optimization logistics material flow system matrix conveyor simulated annealing simulierte Abkühlung warehousing