Selection of vacuum cleaner with Technique for Order Preference by Similarity to Ideal Solution method based upon multi-criteriadecision-making theory

Kumar, Raman; Singh, Sunpreet

doi:10.1177/0020294019877524

Cited by 20 publications

(4 citation statements)

References 18 publications

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“…The graph theoretic method does not necessitate a network structure with clearly defined relationships, whereas TOPSIS requires numerical values for alternatives and criteria. TOPSIS incorporates criteria weighting to rank alternatives based on their proximity to the ideal solution ( Kumar & Singh, 2020 ), whereas GTA does not explicitly handle criteria and preference weights. Unlike GTA, TOPSIS relies on linear relationships between alternatives and criteria.…”

Section: Discussionmentioning

confidence: 99%

Structural modeling and analysis of fuel cell: a graph-theoretic approach

Saha,

Kumar,

Dev

et al. 2023

PeerJ Computer Science

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A fuel cell, an energy conversion system, needs analysis for its performance at the design and off-design point conditions during its real-time operation. System performance evaluation with logical methodology is helpful in decision-making while considering efficiency and cross-correlated parameters in fuel cells. This work presents an overview and categorization of different fuel cells, leading to the developing of a method combining graph theory and matrix method for analyzing fuel cell system structure to make more informed decisions. The fuel cell system is divided into four interdependent sub-systems. The methodology developed in this work consists of a series of steps comprised of digraph representation, matrix representation, and permanent function representation. A mathematical model is evaluated quantitatively to produce a performance index numerical value. With the aid of case studies, the proposed methodology is explained, and the advantages of the proposed method are corroborated.

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Section: Discussionmentioning

confidence: 99%

Structural modeling and analysis of fuel cell: a graph-theoretic approach

Saha,

Kumar,

Dev

et al. 2023

PeerJ Computer Science

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“…The numerical computations involved in the TOPSIS method have been discussed and explained in many published studies including Kumar and Singh [16], Azis et al [17], and Jasri et al [18]. It should be noted that although some small variations for the computations can be found between these studies such as the inclusion of importance weighting for the evaluation criteria, the fundamental of the TOPSIS method in ranking alternative solutions remains similar.…”

Section: Methodsmentioning

confidence: 99%

Design Selection for New In-Flight Food Delivery and Waste Collection System of Commercial Passenger Transport Aircraft using TOPSIS

Ishak¹,

Romli²

2021

JMechE

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One of the important airline services that can influence the passengers’ loyalty is the in-flight meal service. In this study, the conceptual design process of new in-flight food delivery and waste collection system is carried out using the standard engineering design method to improve the current system. A critical step in this process is the design concept evaluation and selection where the best alternative design concept solution is chosen for further development. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to facilitate the selection process of the best design concept for the new improved in-flight food delivery and waste collection system. The design evaluation criteria for the TOPSIS assessment procedures are taken from previous work done on design requirements analysis for the new in-flight food delivery and waste collection system. Similarly, five alternative design concepts for the new system are taken from the results of the previous research work done. Furthermore, an online public survey is conducted to acquire the assessment rating of all alternative design concepts for each design evaluation criterion. The assessment rating is assigned using a simple Likert rating scale. From the resultant TOPSIS ranking, Concept 3 has emerged as the best design concept with a closeness rating of 0.9589, which is very close to 1. For future research work, this selected final design concept for the new in-flight food delivery and waste collection system will be forwarded to the next engineering design stage for further development.

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“…Karcher WD 3.200 came out as the first choice, followed by Karcher WD 4.200 and Eureka Forbes Sensi. Additionally, the study proved the benefits of MCDM according to customer, retailer and wholesaler points of view [ 39 ]. The WASPAS method was used to select a portable hard disk drive from five different brands available on the Indian market, with twenty-four alternatives, which shows the robustness of MCDM methodologies in a wide range of other option weightage environments, from the equal weight method to the standard deviation method.…”

Section: Introductionmentioning

confidence: 96%

Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

et al. 2021

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Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

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Selection of vacuum cleaner with Technique for Order Preference by Similarity to Ideal Solution method based upon multi-criteriadecision-making theory

Cited by 20 publications

References 18 publications

Structural modeling and analysis of fuel cell: a graph-theoretic approach

Structural modeling and analysis of fuel cell: a graph-theoretic approach

Design Selection for New In-Flight Food Delivery and Waste Collection System of Commercial Passenger Transport Aircraft using TOPSIS

Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

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