Best Laptop Model Selection by Applying Integrated AHP-TOPSIS Methodology

The main objective of this research article is to select the best laptop model among six models available in the market. For this analysis, six laptop models are selected from different online shopping websites having different specifications after seeing the customer ratings. After doing some research, it is found that these laptop models are presently in demand and mostly preferred by the customers. So, an initiative is taken to propose the best laptop among these six models by implementing multiple-criteria decision-making (MCDM) methodology. The selection process is done based on seven criteria (i.e., processor, hard disk capacity, operating system, RAM, screen size, brand, color). For this purpose, analytic hierarchy process (AHP) is adopted for calculating the weightages of the criteria, and TOPSIS is used for selecting the best model. A preference ranking order of the six models is also proposed at the end indicating the best model to the worst. From the whole analysis, it is found that Model 4 came out to be the best model followed by Model 5 and Model 3.

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Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method

Water Science & Technology ◽

10.2166/wst.2015.490 ◽

2015 ◽

Vol 73 (2) ◽

pp. 283-291 ◽

Cited By ~ 5

Author(s):

Abdelhak Kessili ◽

Saadia Benmamar

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Multiple Criteria Decision Making ◽

Ranking Method ◽

Preference Ranking ◽

Analytic Hierarchy ◽

Promethee Ii ◽

Sewer Rehabilitation ◽

Hierarchy Process ◽

Sewer Networks

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.

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Evaluate and Rank the Smartphone Brand Using Fuzzy AHP and PROMETHEE

Jurnal Intelek ◽

10.24191/ji.v14i2.216 ◽

2019 ◽

Vol 14 (2) ◽

pp. 44-51

Author(s):

Diana Sirmayunie Mohd Nasir ◽

Nurshahira Zawawi ◽

Suzanawati Abu Hasan

Keyword(s):

Decision Making ◽

Fuzzy Ahp ◽

Multiple Criteria Decision Making ◽

Decision Makers ◽

Preference Ranking ◽

Analytic Hierarchy ◽

System Memory ◽

Future Work ◽

Hierarchy Process ◽

Selection Of

A buying decision process is one of the Multi-Criteria Decision Making (MCDM) problems faced by everyone in daily life. One example is the selection of smartphones brand in the market. Thus, the study is conducted to evaluate the most effective criteria for buying smartphones and to rank the people's preferences on smartphone based on its brand. Six criteria (price, operating system, memory, display, camera and battery) and three alternatives which are the smartphone brands (Oppo, Samsung and Apple) were chosen in the study. Two main processes were involved, which are 1) evaluate the smartphone criteria using Fuzzy Analytic Hierarchy Process (AHP) and 2) ranking the brand using Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). Surveys and questionnaires were conducted and evaluated by decision makers who are the smartphone's users. The result showed storage memory is considered as prominent criteria in choosing a smartphone meanwhile the consumers firstly prefer Oppo, secondly Apple and thirdly Samsung. Future work in this study may use other alternatives to be ranked by considering other top models as well. Keywords: Multiple criteria decision making, smartphone brand, Fuzzy AHP, Fuzzy PROMETHEE

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An Analysis for Selecting Best Smartphone Model by AHP-TOPSIS Decision-Making Methodology

International Journal of Service Science Management Engineering and Technology ◽

10.4018/ijssmet.2021050107 ◽

2021 ◽

Vol 12 (3) ◽

pp. 116-137

Author(s):

Shankha Shubhra Goswami ◽

Dhiren Kumar Behera

Keyword(s):

Decision Making ◽

Selection Process ◽

Real Life ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Preference Ranking ◽

Price Range ◽

Internal Storage ◽

Ranking Order

This article presents the detailed study of integrated AHP-TOPSIS multiple-criteria decision-making (MCDM) methodology. For these purposes, a real-life example is taken where the best smartphone mobile model is proposed among 10 different available models by implementing integrated AHP-TOPSIS methodology. The 10 mobile models selected for this analysis are presently available in the market and are from different brands having different specifications and price range. The selection process is done based on four major criteria (i.e., price, internal storage, RAM, and brand). AHP is applied for the criteria weightage's calculation, whereas TOPSIS is adopted for selecting the best alternative and make a preference ranking order indicating the best model to the worst. The final result shows that Samsung J7 is the best smartphone model followed by Redmi 7A, and Redmi K20 pro occupies the last position; thus, it is the worst model among the group.

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Outranking Methods: Promethee I and Promethee II

Foundations of Management ◽

10.2478/fman-2020-0008 ◽

2020 ◽

Vol 12 (1) ◽

pp. 93-110

Author(s):

Shankha Shubhra Goswami

Keyword(s):

Coming Out ◽

Selection Process ◽

Multiple Criteria Decision Making ◽

Preference Ranking ◽

Analysis Model ◽

Analytic Hierarchy ◽

Promethee Ii ◽

Partial Ranking ◽

Outranking Methods ◽

Complete Ranking

AbstractThis article highlights the application of the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) I and II in selecting the best laptop model among six different available models in the market. Seven important criteria, that is, processor, hard disk capacity, operating system, RAM, screen size, brand, and color, are selected, based on which the selection process have been made. Analytic hierarchy process (AHP) is adopted for calculating the weightages of the seven criteria and PROMETHEE is applied to select the best alternative. PROMETHEE I provides the partial ranking and preferences of one model over another, whereas PROMETHEE II provides the complete ranking of the alternatives. From this analysis, Model 4 is coming out to be the best laptop model occupying the first position and Model 1 occupies the last position, thus indicating it as the worst model among the group. The objectives of this article are to select the best laptop model among six available alternatives and to understood the steps of both multiple criteria decision-making (MCDM) methodologies, that is, PROMETHEE and AHP, in details.

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INTEGRATED FAHP, ARAS-F AND MSGP METHODS FOR GREEN SUPPLIER EVALUATION AND SELECTION

Technological and Economic Development of Economy ◽

10.3846/20294913.2015.1072750 ◽

2015 ◽

Vol 22 (5) ◽

pp. 651-669 ◽

Cited By ~ 31

Author(s):

Chin-Nung LIAO ◽

Yan-Kai FU ◽

Li-Chun WU

Keyword(s):

Supplier Selection ◽

Selection Process ◽

Multiple Criteria Decision Making ◽

Decision Makers ◽

Analytic Hierarchy ◽

Green Supplier Selection ◽

Selection Problems ◽

Aspiration Levels ◽

Fuzzy Techniques ◽

Hierarchy Process

In recent years, determining the best supplier in the green supply chain has become a key strategic task for a firm. Since the decision usually involves several objectives or criteria, the green supplier selection process is a fuzzy multiple criteria decision-making (FMCDM) problem. Considering both qualitative and quantitative criteria, this study proposes new integrated fuzzy techniques for fuzzy analytic hierarchy process (FAHP), fuzzy additive ratio assessment (ARASF) and multi-segment goal programming (MSGP) approach to solve the green supplier selection problems. The advantage of this method is that it allows decision makers to set multiple segment aspiration levels for green supplier selection problems. The integrated model is illustrated by an example in a watch firm.

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Utilizing analytic hierarchy process for improved decision making within supply chains

Human Systems Management ◽

10.3233/hsm-2008-27105 ◽

2008 ◽

Vol 27 (1) ◽

pp. 49-62

Author(s):

Sameer Kumar ◽

John Bisson

Keyword(s):

Analytic Hierarchy Process ◽

Global Economy ◽

Supplier Selection ◽

Selection Process ◽

Decision Support Tool ◽

Data Availability ◽

Analytic Hierarchy ◽

Support Tool ◽

Device Manufacturer ◽

Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

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Identifying and Prioritizing Educational Needs of Female Adolescents in Relation to Healthy Eating Based on Analytic Hierarchy Process Model

Global Journal of Health Science ◽

10.5539/gjhs.v9n2p223 ◽

2016 ◽

Vol 9 (2) ◽

pp. 223 ◽

Cited By ~ 1

Author(s):

Saeed Mazloomi Mahmoodabad ◽

Akram Mehrabbeyk ◽

Hassan Mozaffari-Khosravi ◽

Hossein Fallahzadeh

Keyword(s):

Fast Food ◽

Process Model ◽

Eating Habits ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Female Adolescents ◽

Analytic Hierarchy ◽

Eating Breakfast ◽

Eating Fast ◽

Hierarchy Process

In order to better plan health based interventions, educators and health promoters need to make decisions in this regard. In the meantime, it should be noted that, multiple criteria decision making methods with theoretical roots and accuracy of forecasting results are less considered.The current study is a descriptive research carried out on 15 experts working in Yazd Health Centers using purposeful sampling. In order to identify wrong eating habits of students, Delphi method is used. In the next step, these habits are compared, one by one, and scored with Analytical Hierarchy Process (AHP) Model. In the end, data are analyzed using Expert Choice 11 software.Seven major wrong eating habits of female adolescents are identified: junk food consumption, drinking soda and sweet drinks, eating fast food, deleting main meals, improper diets, low intake of vegetables, and not eating breakfast. Among these, low intake of vegetables, eating fast food, and not eating breakfast, with weight rate of 32.4%, 19.4% and 19.3%, are specified as the first three priorities of education.In various fields of education and health promotion, including prioritizing training needs, employing techniques with potentials of assessing multiple criteria at the same time can be highly efficient.

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SUBCONTRACTOR SELECTION USING THE INTEGRATION OF THE AHP AND PROMRTHEE METHODS

Journal of Civil Engineering and Management ◽

10.3846/13923730.2014.948910 ◽

2015 ◽

Vol 22 (8) ◽

pp. 1042-1054 ◽

Cited By ~ 25

Author(s):

Gul POLAT

Keyword(s):

Construction Projects ◽

Selection Process ◽

Selection Problem ◽

Preference Ranking ◽

Analytic Hierarchy ◽

Building Projects ◽

Bid Price ◽

Perform Sensitivity Analysis ◽

Complete Ranking ◽

The Right

On many construction projects, especially building projects, 80–90% of the tasks are performed by subcontractors. Since the success of the project highly depends on the performances of the subcontractors, selecting the right subcontractor for the right job is critical. Main contractors generally tend to select the subcontractors that offer the lowest bid price. However, working with unqualified and insufficiently financed subcontractors may result in inefficiencies and failures. Thus, a combination of several compromising and conflicting criteria underpinning financial capacity and competencies of the subcontractors should be considered during the subcontractor selection process. This paper proposes an integrated decision approach, which employs analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, for the subcontractor selection problem. In the proposed approach, AHP is used to analyze the structure of the subcontractor selection problem and to determine the weights of the criteria, and PROMETHEE is employed to obtain complete ranking and perform sensitivity analysis by changing the weights of criteria. The proposed approach is applied to a problem of selecting the most appropriate subcontractor to be worked with in an international construction project. Company management found the proposed decision approach satisfactory and implementable in future subcontractor selection problems.

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