@INBOOK{Radomska-Zalas2024:i7700,
	author="{Radomska-Zalas, Aleksandra}",
	title="{Multi-criteria methods in the optimization of the abrasive waterjet cutting process}",
	year="2024",
	type="rozdział w monografii naukowej / referat",
	language="en",
	booktitle="{XIV International Conference Electromachining 2023}",
	publisher="{American Institute of Physics}",
	series="{AIP Conference Proceedings}",
	pages="20030-1--20030-9",
	doi="10.1063/5.0203525",
	url="https://pubs.aip.org/aip/acp/article/3130/1/020030/3279857/Multi-criteria-methods-in-the-optimization-of-the",
	abstract="{Optimization of the industrial process of waterjet cutting has recently become an important research problem. In
this area, multi-criteria decision support methods are used. Due to the wide selection of available methods, choosing the
right one that meets the expectations and criteria of the process is a difficult task. The article presents a study of the
effectiveness of various optimization methods. The aim of the article is to show the results of research conducted on the
use of multi-criteria methods to optimize the production process in the example of high-pressure water jet cutting. The tests
were carried out on details made of 21HMF steel using Garnet Barton HPX80 abrasive material. The achieved results are
consistent with previous research and allow us to conclude that the use of these methods is important for the parameters of
the waterjet cutting process. The difference is the maximum cutting depth. Among the MCDA methods used in the context
of the balanced assessment paradigm of decision variants, the PROMETHEE method deserves special attention. Using six
different preference functions, PROMETHEE allows solving a decision problem with higher and lower degrees of criteria
compensation, provided that certain conditions are met by the preference model. It should also be noted that the use of
thresholds in PROMETHEE allows the uncertainty of preferences to be taken into account in the decision problem in
relation to, for example, the weight of process parameters. In addition, PROMETHEE allows you to perform sensitivity
analysis to changes in criteria weights and changes in input data, which gives you the opportunity to analyze the reliability
and robustness of the solution.}",
}