|
|
Ordering of Jobs for Pickling Lines
Plšek, Michal ; Tinka, Jan (referee) ; Kanich, Ondřej (advisor)
This work resolves the scheduling problem of multiple hoists transporting products between chemicals baths of pickling line. Harmonograms of products are calculated by modified Shifting bottleneck heuristic, which prevents product conflicts inside baths. Genetic algorithm NSGA-II is used for solution-space search. Web application built over the optimization process allows user to manage/edit products, hoists, baths, configuration parameters and optimization results. Applying proposed heuristic to smaller optimization tasks boosts production effectivity up to 30-45 % (comparing to naive harmonograms). The result of this work is application on the basis of which full-fledged C++ application might be programmed. Then it might be used for solving larger-scale problems.
|
|
|
Ordering of Jobs for Pickling Lines
Plšek, Michal ; Tinka, Jan (referee) ; Kanich, Ondřej (advisor)
This work resolves the scheduling problem of multiple hoists transporting products between chemicals baths of pickling line. Harmonograms of products are calculated by modified Shifting bottleneck heuristic, which prevents product conflicts inside baths. Genetic algorithm NSGA-II is used for solution-space search. Web application built over the optimization process allows user to manage/edit products, hoists, baths, configuration parameters and optimization results. Applying proposed heuristic to smaller optimization tasks boosts production effectivity up to 30-45 % (comparing to naive harmonograms). The result of this work is application on the basis of which full-fledged C++ application might be programmed. Then it might be used for solving larger-scale problems.
|
|
|
Rozvrhování výroby - teorie a praxe
Kašpar, Michal ; Pelikán, Jan (advisor) ; Kuncová, Martina (referee)
Manufactural activity is the basis of every sound economy. The risk for today's industrial establishments in our let us say european conditions is to hold competitiveness in the terms of global economy. This diploma thesis is focusing on solving problems of manufacturing scheduling with the view of theory and practice. It is impeach of real-life production. Scheduling belongs to hard combinatorial problems and therefore are usually solved by various heuristic or metaheuristic methods. For application of mentioned metaheuristic methods is important to use suitable choice of representative data.
|
guest ::
