Enhancing Handheld Polishing Machine Selection: An Integrated Approach of Marcos Methods and Weight Determination Techniques

Nguyen, Xuan Truong; Ašonja, Aleksandar; Do, Duc Trung

doi:10.18485/aeletters.2023.8.3.5

Cited by 5 publications

(3 citation statements)

References 23 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have offered both analytical and numerical solutions to support our theoretical framework. In the future, we are going to apply novel methods of multi-criteria optimization [40,41], and compare the results with those obtained in this study.…”

Section: Discussionmentioning

confidence: 84%

Multicriteria Optimization of Lower Limb Exoskeleton Mechanism

Ibrayev,

Ibrayeva,

Rakhmatulina

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Typical leg exoskeletons employ open-loop kinematic chains with motors placed directly on movable joints; while this design offers flexibility, it leads to increased costs and heightened control complexity due to the high number of degrees of freedom. The use of heavy servo-motors to handle torque in active joints results in complex and bulky designs, as highlighted in the existing literature. In this analytical study, we introduced a novel synthesis method with analytical solutions provided for synthesizing the lower-limb exoskeleton. Furthermore, we proposed a mathematical model of multicriteria optimization; as a result, we obtained several lower-limb exoskeleton mechanisms comprising only six links, well-suited to the human anatomical structure, exhibit superior trajectory accuracy, efficient force transmission, satisfactory step height, and having internal transfer segment of the foot.

show abstract

Section: Discussionmentioning

confidence: 84%

Multicriteria Optimization of Lower Limb Exoskeleton Mechanism

Ibrayev,

Ibrayeva,

Rakhmatulina

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The MEAN weight method is the method where the weights of criteria are equal [14,17,36]. The CRITIC method is used to calculate the weights of criteria according to equations ( 14) and ( 15) [29], [30], [31], [32], [33].…”

Section: The Weighting Methodsmentioning

confidence: 99%

“…Generating various scenarios to assess the stability of ranking options is necessary because multiple studies have shown that when the number of options to be ranked changes, the rankings of the options may change as well. Even an option considered the best can become the worst if any option is removed from the list of options to be ranked [36], [37], [38]. Four scenarios have been performed, each scenario will remove one option from the list of alternatives to be ranked.…”

Section: Figure 2 Ranking the Plastic Injection Molding Machinesmentioning

confidence: 99%

Comparison of MCDM methods effectiveness in the selection of plastic injection molding machines

Trung,

Dudić,

Duc

et al. 2024

Teknomekanik

View full text Add to dashboard Cite

In each specific problem of finding the best solution among many available options, where each option has multiple criteria, multi criteria decision making methods are considered equally effective when they converge to the same optimal solution. Proximity Indexed Value, Preference Selection Index, Faire Un Choix Adéquat (in French), and Collaborative Unbiased Rank List Integration are four Multi Criteria Decision Making methods with very different characteristics. All these four methods have been used a lot in recent times. The effectiveness of these four methods have been confirmed to be comparable to other multi criteria decision making methods in many applications. However, the comparison of these four methods with each other has never been performed in any studies. This article is performed to fill that gap. These four methods have been used to find to the best option among five types of plastic injection molding machine. Ten criteria have been chosen to describe each alternative. Two different methods that have been used to calculate the weights for the criteria are the MEAN weight method and the CRiteria Importance Through Intercriteria Correlation weight method. Different scenarios have been created to compare the effectiveness of these four methods. The results have shown that the four multi criteria decision making methods mentioned above are equally effective in the selection of plastic injection molding machines. Among the five types of plastic injection molding machines, namely JSW J350EII-SPA ANBE-002-02, Meiki M-200B-SJ, Meiki M-350C-DF-SJ, JSW J350E II, and JSW J550E-C5, the JSW J550E-C5 is the best type.

show abstract