Decision support system analysis for selecting a baby cream product with Preference Selection Index (PSI) Baby Sensitive Skin Under 3 Year

Amin, Muhammad; Irawati, Novica; Sinaga, Hommy Dorthy Ellyany; Retnosari, Dwi; Maulani, Jauhari; Raja, Harmonvikler Dumoharis Lumban

doi:10.1088/1742-6596/1933/1/012035

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…In the last step, the concept rankings obtained from both approaches were compared [36] . Amin et al applied the PSI method in the selection of baby creams for sensitive skin in children under the age of three [37] . Reddy et al compared predicted combinations of composites with optimal mechanical and wear levels using PSI [38] .…”

Section: Literature Review On Psi Methodsmentioning

confidence: 99%

Determining the Riskiest Production Area Using Integrated Criteria Weights

2022

J Mod Ind Manuf

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Objective: This study aims to prioritize seven production areas in an automotive glass manufacturing firm considering their risk levels by using integrated multi-criteria decision-making approach. Methods:The proposed approach includes two phases as determining risk criteria weights and ranking production areas according to their risk levels. In determining risk criteria weights, Criteria Importance through Inter-criteria Correlation (CRITIC), Entropy and Preference Selection Index (PSI) methods are used. Then, the different criteria weights obtained from these three approaches are aggregated with geometric mean operator. In ranking production areas, Multi-objective Optimization on the Basis of Simple Ratio Analysis is utilized and the production area which has the lowest risk level is determined considering the aggregated criteria weights obtained in the first phase. Results:The least risky and the riskiest areas were obtained as autoclave and tunnel kiln areas respectively for four different weighting approaches. CRITIC, PSI and Aggregated Weighting methods gave the same rankings of production areas. There are small differences between the rankings of Entropy and Aggregated Weighting Method for the third and sixth production areas. Conclusion:The data used in the analysis is obtained by real measurements. For this reason, the results obtained from the study are more accurate compared to the subjective weighting methods. The proposed approach provides authorities to see the results of the different approaches and aggregated rankings. Thus, authorities can decide for which production area measures should be taken first in a more flexible way.

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Section: Literature Review On Psi Methodsmentioning

confidence: 99%

Determining the Riskiest Production Area Using Integrated Criteria Weights

2022

J Mod Ind Manuf

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“…Amin ve diğ. (2021), üç yaşın altındaki çocuklarda hassas ciltler için bebek kremi seçiminde PSI yöntemini uygulamışlardır [23]. Reddy ve diğ.…”

Section: Psi Yöntemine İlişkin Literatür Taramasıunclassified

Evaluation of performance levels of students for moodle learning management system in terms of usability Criteria with PSI-Entropy-Marcos integration

YORULMAZ¹,

Can²

2022

Pamukkale J Eng Sci

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“…First, it allows decision users to combine their subjective judgments with objective data analysis, creating a solid foundation for better decisions. Second, PSI can be applied in a variety of contexts, including business, investment, product selection, and even in the selection of complex projects [20]. In this way, PSI helps address increasingly complex decision-making challenges and enables organizations and individuals to make more informed and targeted choices.…”

Section: Introductionmentioning

confidence: 99%

The Decision Support System Uses the Preference Selection Index Method in Determining Healthy Cooperatives

Sulistiani,

Maryana,

Palupiningsih

et al. 2023

bids

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Determining a healthy cooperative is a challenge that requires attention to several key aspects. Effective management, stable finances, active member involvement, and compliance with laws and regulations are key factors to be considered. By paying attention to all these factors and taking appropriate action, the cooperative can achieve optimal health levels and make a significant contribution to its members as well as the surrounding community. This study aims to determine healthy cooperatives using the Preference Selection Index (PSI) method in determining the best healthy cooperatives using the criteria of Capital, Quality of Productive Assets, Management, Efficiency, Liquidity, Independence, and Cooperative Identity so that the results of the best healthy cooperative ranking recommendations will be able to become recommendations for a decision. Based on the results of the calculation of the final value and ranking of the best healthy cooperatives using the PSI method, rank 1 is Koperasi-02 with a final value of 0.10737, rank 2 is Koperasi-01 with a final value of 0.10029, rank 3 is Koperasi-03 with a final value of 0.05223, rank 4 is Koperasi-04 with a final value of 0.0107. The results of testing using blackbox testing that has been carried out obtained the results of the number of answers from respondents have a value of 100% in accordance with testing the functionality of the system using blackbox testing

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Decision support system analysis for selecting a baby cream product with Preference Selection Index (PSI) Baby Sensitive Skin Under 3 Year

Cited by 4 publications

References 13 publications

Determining the Riskiest Production Area Using Integrated Criteria Weights

Determining the Riskiest Production Area Using Integrated Criteria Weights

Evaluation of performance levels of students for moodle learning management system in terms of usability Criteria with PSI-Entropy-Marcos integration

The Decision Support System Uses the Preference Selection Index Method in Determining Healthy Cooperatives

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