Abstract:Decision support system is an information system that helps decision makers in solving unstructured problems. Implementation of method methods in problem solving will make the results provided by decision support systems more effective and accurate. In this study researchers discussed the implementation of Preference Selection Index in producing business actors who will get the People's Business Credit fund. The application of the PSI method in this case helps decision makers without having to give weight to a… Show more
“…PSI method is a method that meets this requirement [19]. Based on this advantage, the PSI method has been applied to rank the alternatives and then choose the best one in many different fields: measuring the performances of the machines [20], ranking of waste recovery alternatives [21]; developing a student scholarship decision support system [22], optimization selection of ceramic particulate reinforced dental restorative composite materials [23]; decision making over the design stage of production system life cycle [24]; optimization of turning process parameters [25]; determining the location of used laptop marketing [26]; comparison of tourism potentinals [27]; machine selection in a flexible manufacturing cell [28]; to select personnel for a textile company in Turkey, to select an industrial robot, to select a turning process, and to evaluate the air quality in the office [29]; to select individuals eligible for credit loans from banks [30]; to select the outer circular grinding process [31]; etc. However, despite taking a lot of time and effort, the author of this research has not found any studies that applied PSI method in 3D printer selection.…”
3D Printing is increasingly used in many fields such as: Medicine and Dentistry, Aviation, Automation, Jewelry, Architecture, and Fashion, etc. To achieve high efficiency in printing process, the first well-thought-out step is choosing a 3D printer. There are many types of 3D printers manufactured by different brands on the 3D printer's market and each type has all the parameters (criteria) to evaluate is not the same. This makes for the customers very complicated and confused to select a 3D printer. This study applied a type of Multi-criteria Decision Making (MCDM) in machine selection, called Preference Selection Index (PSI). Six 3D printers from five different manufacturers were used including Creatbot DE plus, Flashforge Creator 3, Cubicon Style NEO A22C, Single Plus -320C, LulzBot TAZ Pro, and CraftBot Flow White IDEX. This article showed that Creatbot DE plus is the best choice, on the contrary, Cubicon Style NEO A22C is the worst selection. And then the orientation of selecting a 3D printer is also mentioned in the last part of this research.
“…PSI method is a method that meets this requirement [19]. Based on this advantage, the PSI method has been applied to rank the alternatives and then choose the best one in many different fields: measuring the performances of the machines [20], ranking of waste recovery alternatives [21]; developing a student scholarship decision support system [22], optimization selection of ceramic particulate reinforced dental restorative composite materials [23]; decision making over the design stage of production system life cycle [24]; optimization of turning process parameters [25]; determining the location of used laptop marketing [26]; comparison of tourism potentinals [27]; machine selection in a flexible manufacturing cell [28]; to select personnel for a textile company in Turkey, to select an industrial robot, to select a turning process, and to evaluate the air quality in the office [29]; to select individuals eligible for credit loans from banks [30]; to select the outer circular grinding process [31]; etc. However, despite taking a lot of time and effort, the author of this research has not found any studies that applied PSI method in 3D printer selection.…”
3D Printing is increasingly used in many fields such as: Medicine and Dentistry, Aviation, Automation, Jewelry, Architecture, and Fashion, etc. To achieve high efficiency in printing process, the first well-thought-out step is choosing a 3D printer. There are many types of 3D printers manufactured by different brands on the 3D printer's market and each type has all the parameters (criteria) to evaluate is not the same. This makes for the customers very complicated and confused to select a 3D printer. This study applied a type of Multi-criteria Decision Making (MCDM) in machine selection, called Preference Selection Index (PSI). Six 3D printers from five different manufacturers were used including Creatbot DE plus, Flashforge Creator 3, Cubicon Style NEO A22C, Single Plus -320C, LulzBot TAZ Pro, and CraftBot Flow White IDEX. This article showed that Creatbot DE plus is the best choice, on the contrary, Cubicon Style NEO A22C is the worst selection. And then the orientation of selecting a 3D printer is also mentioned in the last part of this research.
Electric bicycle is a vehicle which is used widely in all the citys and provinces of Vietnam. However, it’s hard to choose “the most suitable” or “the best” type of electric bicycle because each type has different criteria (parameters). To choose out the best option, we need to consider all the alternatives at once. That is called multi-criteria decision-making. This research used three multi-criteria decision-making methods include SAW method, MARCOS method and PSI method to choose from seven best-selling types of electric bicycle on the market in 2022. All the methods which were used chose out the same best electric bicycle type and the same worst bicycle type. And so, among seven types of electric bicycle which include M133 mini, M133 Sport 2022, Aima 133AM, Nijia – PA4, DK 133M, Yadea iGo and Yadea i3, the best type is Aima 133AM, in contrast, Yadea iGo is considered the worst type. Things that need to be done in the folowing researches were proposed in the last part of this paper.
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