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

Kumar, Raman; Dubey, Rohit; Singh, Sehijpal; Singh, Sunpreet; Prakash, Chander; Nirsanametla, Yadaiah; Królczyk, Grzegorz; Chudy, Roman

doi:10.3390/ma14082084

Cited by 87 publications

(33 citation statements)

References 37 publications

(45 reference statements)

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“…The appliance was developed by combined techniques, that is, survey research with the Likert scale [8], the AHP method (analytic hierarchy process) [10], Pareto rule (20/80) [26], the WSM method (Weighted Sum Model) [27][28][29], and Naïve Classifier Bayes [15][16][17][18]. The procedure of predicting product quality includes obtaining customers' expectations by using survey research.…”

Section: Appliance Of Researchmentioning

confidence: 99%

“…In turn, the Pareto rule (20/80) was used with the possibility of grouping product attributes into important, or less important where the purpose was to determine important attributes (i.e., 20%) from which it is necessary to start improvement actions [26]. The next method, that is, the WSM method (Weighted Sum Model), was used in turn for its simplicity and the need to estimate the quality level of the product based on customer assessment and weights (importance) of the attributes of the product [27][28][29]. However, the Naive Bayes Classifier was used because it is not a complicated method, is effective in analyzing qualitative and quantitative data, and also applied to predict [16,18].…”

Section: Appliance Of Researchmentioning

confidence: 99%

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Appliance to Predict the Quality of Hypothetically Modified Products

2022

Teh. vjesn.

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Customizing the quality of the product to change customer expectations is a necessary action in good, prospering organizations. In enterprises, the most beneficial solutions consider the future satisfaction of customer with the product. This issue is not easy and is not resolved; therefore, integration of different techniques was proposed as part of a single, coherent appliance. Therefore, the aim is to propose the appliance to predict the quality of hypothetically modified products. The appliance was developed by adequately selected and combined techniques, i.e., survey research with the Likert scale, AHP method (Analytic Hierarchy Process), Pareto rule (20/80), WSM method (Weighted Sum Model) and Naive Classifier Bayes. The concept of the proposed appliance concerns the possibility of determining important product attributes and possible combinations of feature states. Based on this, the quality levels were estimated, and then satisfaction with the hypothetical modifications of the product was predicted. The test was carried out on the vacuum cleaner. As a result, four combinations of product modifications were determined, which have been created based on hypothetical and actual attributes. Each modification was satisfying for the customer. Therefore, the proposed apparatus turned out to be effective in predicting customer satisfaction for the modified quality levels. Originality is to propose a new integration of different techniques to predict levels of quality product modification based on current product quality.

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Section: Appliance Of Researchmentioning

confidence: 99%

Section: Appliance Of Researchmentioning

confidence: 99%

Appliance to Predict the Quality of Hypothetically Modified Products

2022

Teh. vjesn.

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“…This indicates a clear research gap of decision making and optimization in machining operations, considering SEC as one of the sustainable machining response. More research work using decision-making techniques can be regarded as in SEC analysis [69][70][71][72][73].…”

Section: Research Gaps and Hotspotsmentioning

confidence: 99%

Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response

et al. 2021

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This paper’s persistence is to make an inclusive analysis of 268 documents about specific energy consumption (SEC) in machining operations from 2001 to 2020 in the Scopus database. A systematic approach collects information on SEC documents’ primary data; their types, publications, citations, and predictions are presented. The VOSviewer 1.1.16 and Biblioshiny 2.0 software are used for visualization analysis to show the progress standing of SEC publications. The selection criteria of documents are set for citation analysis. The ranks are assigned to the most prolific and dominant authors, sources, articles, countries, and organizations based on the total citations, number of documents, average total citation, and total link strength. The author-keywords, index-keywords, and text data content analysis has been conducted to find the hotspots and progress trend in SEC in machining operations. The most prolific and dominant article, source, author, organization, and country are Anderson et al. “Laser-assisted machining of Inconel 718 with an economic analysis”, the Int J Mach Tools Manuf, Shin Y.C., form Purdue University Singapore, and United States, respectively, based on total citations as per defined criteria. The author keywords “specific cutting energy” and “surface roughness” dominate the machining operations SEC. SEC’s implication in machining operations review and bibliometric analysis is to deliver an inclusive perception for the scholars working in this field. It is the primary paper that utilizes bibliometric research to analyze the SEC in machining operations publications expansively. It is valuable for scholars to grasp the hotspots in this field in time and help the researchers in the SEC exploration arena rapidly comprehend the expansion status and trend.

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“…Kumar et al [27] develops an MCDM hybrid approach for selecting the best femoral component of total knee replacement. The final rank of the selection of material was achieved by combining the five MCDM methods.…”

Section: Introductionmentioning

confidence: 99%

Mechanical and Abrasive Wear Performance of Titanium Di-Oxide Filled Woven Glass Fibre Reinforced Polymer Composites by Using Taguchi and EDAS Approach

Chairman¹,

Ravichandran²,

Mohanavel

et al. 2021

Materials

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Two-body abrasive wear behavior of glass fabric reinforced (GC) epoxy and titanium dioxide (TiO2) filled composites have been conducted out by using a tribo test machine. GC and TiO2 filled GC composites were produced by the hand layup technique. The mechanical performances of the fabricated composites were calculated as per ASTM standards. Three different weight percentages were mixed with the polymer to develop the mechanical and abrasive wear features of the composites. Evaluation Based on Distance from Average Solution (EDAS), a multi-criteria decision technique is applied to find the best filler content. Based on the output, 2wt% TiO2 filler gave the best result. Abrasive wear tests were used to compare GC and TiO2 filled GC composites. The abrasion wear mechanisms of the unfilled and TiO2 filled composites have also been studied by scanning electron microscopy. The outcome of the paper suggests the correct proportion of filler required for the resin in order to improve the wear resistance of the filled composites. Taguchi combined with Multi-Criteria Decision Method (MCDM) is used to identify the better performance of the TiO2 filled epoxy composites.

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

Cited by 87 publications

References 37 publications

Appliance to Predict the Quality of Hypothetically Modified Products

Appliance to Predict the Quality of Hypothetically Modified Products

Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response

Mechanical and Abrasive Wear Performance of Titanium Di-Oxide Filled Woven Glass Fibre Reinforced Polymer Composites by Using Taguchi and EDAS Approach

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