Elimination Et Choix Traduisant La Realite Research Articles

Penentuan Peringkat Penilaian Kinerja Pegawai Sebagai Pendukung Keputusan Menggunakan Metode Fuzzy Elimination Et Choix Traduisant La Realite

This study discusses the Fuzzy Elimination Et Choix Traduisant La Realite (ELECTRE) method that can be applied to make a decision support. This method was chosen because it is one of the methods used to rank and determine the best alternative. This study aims to determine the results of the application of the fuzzy ELECTRE method which produces alternative solutions in determining employee performance appraisal ratings for the Education and Culture Office of Malang City. Some of the problems that often occur in employee performance evaluation at the Department of Education and Culture in the city of Malang are still ineffective and inaccurate because the calculation process is still manual. Based on this, the effort to reduce the problems above is to implement a Fuzzy Multi Attribute Decision Making decision support system with the fuzzy ELECTRE method. This method requires a process of normalizing the decision matrix (X) into a comparable scale, then weighting the normalized matrix, then determining the concordance and discordance indices for each alternative pair to calculate the concordance and discordance indices, the ranking process is used to choose the best alternative. This study is limited by several criteria used as linguistic variables with the Triangular Fuzzy Number scale, including SKP scores, service orientation, integrity, commitment, discipline, and cooperation. Based on employee performance appraisal data that has been calculated using the fuzzy ELECTRE method, the best alternative that occupies the top rank with the highest value is alternative 2 with a value of 55.9155. It is hoped that by using the fuzzy ELECTRE method, the ranking process can be more precise in identifying employees who will become outstanding employees.

A Comprehensive Overview of the ELECTRE Method in Multi Criteria Decision-Making

The ELECTRE (ELimination Et Choix Traduisant la REalite) method has gained widespread recognition as one of the most effective multi-criteria decision-making (MCDM) methods. Its versatility allows it to be applied in a wide range of areas such as engineering, economics, business, environmental management and many others. This paper aims to provide an overview of the ELECTRE method, including its fundamental concepts, applications, advantages, and limitations. At its core, the ELECTRE method is an outranking family of MCDM techniques, which allows for the direct comparison of alternatives based on a set of criteria. The method takes into account the preferences and importance of decision-makers and generates a ranking of the alternatives based on their relative strengths and weaknesses. The ELECTRE method is a powerful tool for decision-making, and its applicability to a wide range of fields demonstrates its versatility and adaptability. By understanding its concepts, applications, merits, and demerits, decision-makers can use the ELECTRE method to make informed and effective decisions in a variety of contexts.

Optimisation of flow and fluid properties of nanofluids to enhance the performance of solar flat plate collector using MCDM technique

In this research work, aluminium oxide (Al2O3), copper oxide (CuO) and gold (Au) nanofluids are prepared with the volume concentrations of 0.1%, 0.2%, 0.3% and 0.4% nanoparticles and tested in solar flat plate collector to estimate the heat transfer characteristics and collector efficiency. The influence of the input variable such as material (type of nanofluid), nanoparticle concentration and the mass flow rate (such as 0.016 kg/s, 0.033 kg/s and 0.05 kg/s) are studied experimentally. With the aim of determining the best possible heat transfer and the collector efficiency with minimum pressure drop, the parameters were optimised using multi-criterion decision-making (MCDM) optimisation techniques. Considering the rate of heat transfer, collector efficiency and drop in pressure are the objective functions, the prime ranks of the optimised variables were obtained using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) techniques. Finally, the prediction accuracy of the models and the confidence levels were evaluated and analysed through ELECTRE (ELimination Et Choix Traduisant la REalite) method to create the hypothesis of the experiment. Al2O3 nanofluid with 0.1% and 0.2% volume concentrations of nanoparticle at 0.05kg/s mass flow rate was obtained as best alternatives from others and it shows good agreement between experimental analysis and optimisation techniques. While using, when compared to water, Al2O3 nanofluid with 0.05kg/s containing 0.1% and 0.2% nanoparticle concentrations, the enhancements were found to be 11.25% and 14.45%, respectively, for heat transfer rate; 11.16% and 14.34%, respectively, for collector efficiency; and 22.7% and 37.7%, respectively, for pressure drop across the collector.

Selecting the Best-Performing Low-Cost Carrier (LCC) Airlines Using Analytical Hierarchy Process (AHP) and Elimination et Choix Traduisant la Realite (ELECTRE)

Background: Low-cost carrier (LCC) is a popular air transportation service as it offers affordable fares. Many airlines have adopted the LCC system because they need to adapt to the changes in the airline industry. The competition is tight. Despite the low cost, consumers demand quality services. Therefore, LCC airlines need to find their competitive edge. Objective: This study aims to determine the best-performing LCC airlines, the criteria, and the sub-criteria to improve the performance. Methods: This study uses two methods from multi-criteria decision-making (MCDM), namely the analytical hierarchy process (AHP) and elimination et choix traduisant la realite (ELECTRE) II. The MCDM is selected for this study because there are four criteria and 21 sub-criteria to evaluate airline performance. The AHP method selects subcriteria that affect airline customer satisfaction. It solves complex problems by establishing a hierarchy. After being assessed by relevant parties, weights or priorities are developed. The results are used to determine the best-performing airline. Meanwhile, the ELECTRE II method ranks the airline’s alternatives. This method is straightforward and widely used in the MCDM. Results: The results indicate that four criteria and 18 sub-criteria affect the performance of LCC airlines in Indonesia. The LCC airline with the best performance is AirAsia, followed by Citilink, Wings Air, and Lion Air. Conclusion: This research integrates the AHP and ELECTRE II methods in evaluating the performance of LCC airlines. This research also provides information about the criteria and sub-criteria to improve airline performance, hence, the customer experience.

Penerapan Metode ELECTRE dalam Menentukan Penerima Penghargaan Adiwiyata

Adiwiyata is one of the Ministry of Environment's programs within a framework supported by school knowledge and awareness in environmental preservation and sustainable development efforts. Therefore, appreciation is needed for Adiwiyata schools in order to provide motivation and improve performance. The determination of the North Sumatra adiwiyata award recipient still uses a manual system and requires quite a long time. Based on these problems, we need a system that supports the decision (SPK) that allows you to receive recipients of adiwiyata awards using existing criteria. One method that can be used is Elimination Et Choix Traduisant la Realite (ELECTRE). This method can solve the type of problem in making decisions with alternatives and criteria that have been given the weight of research using ELECTRE to produce the lowest ranking ranking or highest ranking. The results showed that A4 was the best

SUSTAINABLE MEDICAL SUPPLIER SELECTION BASED ON MULTI-GRANULARITY PROBABILISTIC LINGUISTIC TERM SETS

The sustainable medical supplier selection (SMSS) is an important issue facing the medical industry in the context of sustainable development, which can be regarded as a typical multi-attribute group decision making (MAGDM) problem. In the MAGDM process, linguistic term set (LTS) is particularly natural and convenient for decision makers (DMs) to express evaluation information. Especially, probabilistic linguistic term set (PLTS) is a very critical and effective tool, which can reflect the importance of different linguistic terms. Due to the different preferences and experience of different DMs, they may use multi-granularity probabilistic linguistic term sets (MGPLTSs) to represent different linguistic information. In this article, in order to study the comparison method of MGPLTSs, a new possibility degree formula is firstly proposed and its properties is proved. Then, in order to build a weight model, a possibility degree-based Best-Worst method (BWM) and a probability degree based-maximizing deviation method are established to calculate the subjective weights and objective weights of attributes, respectively. Where after, a MAGDM method is proposed by combining the ELimination Et Choix Traduisant la REalite (ELECTRE) method with Evaluation based on Distance from Average Solution (EDAS) method in the multi-granularity probabilistic linguistic information environment. Finally, the created MAGDM method is applied to the SMSS, and its effectiveness and advantages compared with other existing methods are verified.

Standardization of Technical Specifications and Budget of Charter Rate in Indonesian Oil & Gas Upstream Operation Support Vessel

Special Task Force for Upstream Oil and Gas Business Activities (SKK Migas) is an institution tasked with managing upstream oil and gas business activities based on Production Sharing Contract (PSC). In carrying out technical evaluations and budget recommendations, there are often differences in specifications and budgets between PSC Contractors. In order to reduce the problems mentioned above, it is necessary to standardize technical specifications and charter rates for operations support vessels which will later be used as the basis for evaluating technical specifications and recommendations for charter budgets, for preparing owner estimates as the basis for negotiations in the ship procurement process. The problem-solving methodology adopted in this research is to collect data on operations support vessels in PSC Contractors and then evaluate the data with Multi Criteria Decision Making (MCDM) through the Elimination Et Choix Traduisant la Realite (ELECTRE) method, then the results will be analysed qualitative data, to further develop a standard technical specification and recommendation for vessels charter rates for each type of vessel.

A decision framework for green manufacturing indicators using fuzzy AHP - ELECTRE I: a case study of the steering system manufacturer

ABSTRACT The manufacturing sector is now facing the challenge of complying with strict environmental regulations due to global warming, lack of natural resources, and waste management issues. Increased environmental problems and awareness lead to the implementation of green production practices by manufacturers worldwide. Green manufacturing (GM) activities form the basis of green and environmentally friendly goods production. There are, however, several possible indicators for GM implementation. There has been some good research on GM indicators, but little research in the Indian automotive industry has to date been undertaken on GM. In this analysis, the Fuzzy Analytical Hierarchy (F-AHP) method is incorporated into the Elimination Et Choix Traduisant La Realite (ELECTRE-I) procedure to define and rank the six main indicators as well as rank the case company’s three plants for GM implementation. The proposed framework is accredited by a leading factory manufacturer of steering systems in India. This study shows that Efficiency of Environmental Management System and Hazardous Waste Management are the leading indicators for GM, and plant P1 is the best alternative for the six indicators among the three plants. Our research will support the priority setting of key indicators influencing green manufacturing practices in the automotive industry.

Analisa Metode El Chinix Traduisant La Realite (Electre) dan Weighted Product (WP) Untuk Pendukung Keputusan Perekrutan Karyawan

Human resource management (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually carried out without using a system so that the calculations are still done manually. However, by processing data using the system, it can produce a decision in recommending prospective employees who can have a positive impact on the company. The company selection process is carried out in two stages, namely official selection and final selection in the form of psychological tests, interviews, ability tests, and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method at the official selection stage and the Weighted Product (WP) method at the final selection stage is a discovery made to obtain the best decision according to the required criteria. By using this method, the final result will be obtained, namely recommendations from several prospective employees who are fit to work in the company. The results of this system performance reached one hundred percent; the data from the system is in accordance with the expected calculations.

Perancangan Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW) dan Elimination Et Choix Traduisant la Realite (ELECTRE)

In the world of education, scholarships are financing or subsidies provided by the government, companies, universities, and other educational institutions. This study aims to design and build a decision support system to assist and facilitate the school in determining prospective recipients of scholarship assistance for poor and high achievers with the criteria determined by the scholarship organizer. With this, the researcher designed and built a decision support system using the Analytical Hierarchy Process (AHP) method which was then compared by the Imple Additive Weighting (SAW) and Elimination Et Choix Traduisant la Realite (ELECTRE) method. So that the results of the design of this system are able to assist in determining prospective scholarship recipients. The comparison of the 3 methods shows the results of the ranking of criteria that are slightly different, but basically, the 3 methods can be used properly to solve the problem of determining the scholarship recipient.Keywords:Support System, Analytical Hierarchy Proses (AHP), Simple Additive Weighting (SAW) dan Elimation Et Choix Traduisant la Realite (ELECTRE).

Selection of the Best Administrative Staff Using Elimination Et Choix Traduisant La Realite (ELECTRE) Method

The research was carried out aimed at solving problems in selecting the best administrative staff at the Vita Insani Hospital. This problem is overcome by designing a decision support system that is able to help decision makers to select the best administrative staff. This DSS was designed using the Elimination Et Choix Traduisant La Realite (ELECTRE) method. From the results of this study it is concluded that the Electre method is very appropriate to use as a decision support tool where the best alternative is the Vita_staff_001 administrative staff which eliminates other alternatives by having a value of 1 as much as 3 which is more than the value of 1 for the other alternatives.

Implementation of ELECTRE Method for Decision Support System

This study aims to design a decision support system to determine users’ priority of office inventory items at PT. INL. Deciding the priority of users of office inventory items aims to determine the most appropriate employees to use office inventory items in their daily work so that each employee’s performance can be more optimal. Deciding office inventory users’ priority is done using the ELECTRE (Elimination Et Choix Traduisant La Realite) method. The result of this research is a decision scavenger system that can help and facilitate companies in selecting and prioritizing users of office inventory items at the company. Employees who are prioritized as inventory users in the Electre method are the alternative that has the most value of 1, which outperforms other alternatives.

A Step toward Development of Unbiased Scientific Tool to Prioritize Various Energy Actions Ways for Greening of Buildings

Energy generated from renewable resources is of supreme importance for the significant and sustained growth of India today. The majority of the power in India is generated from the conventional energy sources, such as, coal, petroleum, and natural gas in thermal power plants, which influence the corruption of our environment a lot. Due to diminishing fossil fuels funds, the future demand of energy will be fulfilled by the renewable energy in India. In this paper, a scientific tool named ELimination Et Choix Traduisant la REalite (ELECTRE) will be applied for a case study of Nabajiban Missionaries of Charity Brothers-Howrah, to rank the different energy savings substitutes implemented there for ‘greening building’ in a Multi Criteria Decision Making (MCDM) environment and the rankings of the substitutes generated by ELECTRE will be compared with the rankings already obtained for that particular case study using another scientific tool named Analytical Hierarchy Process. Consequently, we will finally come into a conclusion, how the unbiasedness of the tools in solving MCDM problems for ‘greening building’ projects helps the decision makers of respective institutions, to invest their funding, in the right projects, viewing the rankings generated by the tools.

Comparison between two multicriteria methods for assessing land suitability for agriculture: application in the area of Mleta in western part of Algeria

In order to facilitate the decision making in spatial applications, several methods are available to aggregate the performance of decision-makers. The multitude of these methods makes it difficult to choose one method over another. Two main types of methods are used, the outranking methods which are based on bottom-up approach and the hierarchical analysis methods which are based on top-down approach. These methods can be adapted to this kind of applications and can be integrated into GIS which is an essential tool in spatial management and decision making. Methods developed according to the first approach are different from those developed in accordance with the second one. This study aims to present a comparison between two multicriteria decision-making methods ELECTRE (Elimination Et Choix Traduisant la REalite) Tri and AHP (Analytic Hierarchy Process) to assess land suitability for agriculture. Twelve criteria [water reserve easily utilizable, drainage, permeability, potential of hydrogen (pH), electrical conductivity, active limestone, cation exchange capacity, soil texture, soil useful depth, slope, availability of labor, proximity (roads)] grouped in five factors (agronomic, planning, land enhancement and improvement, soil conservation and environment protection, and socioeconomic conditions) were used in this study. An application has been carried out on the area of Mleta in Algeria. Two land suitability maps for durum wheat have been produced by the two procedures (optimistic and pessimistic) available in ELECTRE Tri, and another map has been obtained by AHP. After the comparison between the obtained results, it was apparent that ELECTRE Tri is more appropriate for the land suitability assessment for agriculture despite its complexity given the large number of required parameters. The subjective parameters available in ELECTRE Tri make it possible to take into account imprecise data. Another advantage of this method lies in the way of the decision-makers' preferences aggregation and the assignment of the land units to classes of predefined categories.

Single-valued neutrosophic ELECTRE II for multi-criteria group decision-making with unknown weight information

This paper develops a novel multi-criteria group decision-making method for resolving single-valued neutrosophic group decision-making problems with unknown weight information. Firstly, considering the different knowledge backgrounds of decision-makers (DMs), two distance-based methods are developed to obtain the weights of DMs and criteria. One of these methods focuses on the closeness between the decision matrix given by an individual DM and that of the group judgment, and the proximity between the decision matrix given by an individual DM and the matrices given by all the other DMs to determine the weights of DMs with respect to each criterion. The other method extends the maximizing deviation method to objectively obtain the weights of criteria. Secondly, an extended ELECTRE (ELimination Et Choix Traduisant la REalite) II is investigated to effectively circumvent the issue that criteria cannot compensate for each other. In this method, three levels of concordance and discordance sets are constructed to fully denote the underlying preference information and specify the outranking degrees of alternatives. Finally, two illustrative examples are presented to demonstrate the feasibility of the proposed approach, followed by a sensitivity analysis and a comparative analysis to test its robustness and effectiveness.

Comparison of the ELECTRE, SMART and ARAS Methods in Determining Priority for Post-Natural Disaster RENAKSI Priorities

Each organization must collect data as a result of the use of information technology. Over time the data is processed into information. The information collected is used as a basis for decision making. But not all information can be directly used for the decision making process. Necessary methods and weighting in the process of getting information. One model in a decision support system is Multi Criteria Decision Making (MCDM). The MCDM model makes it possible to provide the best choice of information from several choices of the many criteria and alternatives used. This study compares the MCDM model, namely the ELECTRE (Elimination Et Choix Traduisant la Realite) method, SMART (Simple Multi-Attribute Rating Technique), ARAS (Additive Ratio Assessment) as a priority determination for the handling of areas affected by natural disasters which must be addressed first in the RENAKSI (Reconstruction and Rehabilitation Action Planning), in this case earthquake natural disasters. The ELECTRE method has a different algorithmic process than SMART and ARAS. The validation test method ELECTRE, SMART and ARAS against dataset occurrence of the earthquake is become the results of this research. Spearman rank correlation values ​​for the three methods amounted to 0.96. And another correlation method value of 0.85 for the ARAS method and 0.82 for the ELECTRE and SMART methods.

SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN SEPEDA MOTOR MENGGUNAKAN METODE ELECTRE

This system is built to help candidate of motorcycle buyers to determine which motorcycle is fit for them depending on criteria and their needs. This system uses 9 criteria in purchasing a motorcycle and uses the ELECTRE (Elimination Et Choix Traduisant La Realite) method to produce the best alternative of motorcycle for candidate of motorcycle buyers. The result of making this system are taken based on the average score obtained from the results of the questionnaire distributed to 7 testers. The average score is 40 out of a maximum score of 50 or in percentage is 80%. The accuration of ELECTRE method applied to the system is 100%. From this score, it concludes that application ELECTRE method in this application can quite help candidate of motorcycles buyers to determine best options of motorcycle to be purchased according to their criteria and needs

Dealership Performance Evaluation in Supply Chain with DEMATEL and ELECTRE Methods

The supply chain is a complex system in which a number of companies work together to maintain final customer satisfaction and sustainable success. Supply chain collaboration is important to perform supply chain activities smoothly and gain a general supply chain success. In this study, the importance of dealership performance evaluation in a supply chain is considered. The dealers have a critical role in the supply chain as they are in direct contact with final customers. From this point of view, dealership performance evaluation is one of the important activities in supply chain management. The DEMATEL (Decision Making Trial and Evaluation Laboratory) method is used to determine the importance level and the causal relationship between key performance indicators (KPIs) to be used in dealership performance measurement. In addition, a model has been developed for dealership performance evaluation using the ELECTRE (Elimination Et Choix Traduisant la Realite) method.

Rekomendasi Laptop Gaming High end untuk Gamer Professional dengan Elimination Et Choix Traduisant la Realite (ELECTRE)

The purpose of this research is as a recommendation tool in determining high end gaming laptops for professional gamers by using a decision support system. The settlement method used in this study is Elimination Et Choix Traduisant la Realite (ELECTRE). The data collection techniques were carried out randomly by conducting observations, interviews and questionnaires to 250 respondents (gamers) and 10 computer shops in the district of Simalungun. In this study, using five alternatives, among others: Asus ROG G703 (A1), Razer Blade Pro (A2) MSI GT75VR Titan-083 (A3), Acer Predator Triton 700 (A4), Alienware 17 (A5) and five assessment criteria, among others: Price (C1), Processor Type (C2), RAM Capacity (C3), VGA Card Type (C4) and Hard Drive (C5). The results of the Elimination Et Choix Traduisant la Realite (ELECTRE) method recommend the Predator Triton 700 (A4) alternative as the first recommendation for the selection of high end gaming laptops for professional gamers.

An AHP-ELECTRE framework to evaluate barriers to green supply chain management in the leather industry

ABSTRACTThe leather-processing industry (LPI) is constantly polluting the environment in Bangladesh. As a result, stakeholders are continuously pressurizing managers working in LPI to embrace green leather-processing activities. Thus, the green concept is attracting significant attention from managers in the Bangladeshi LPI. However, the industry is struggling with many barriers to implementing green supply chain management (GSCM). There are many studies regarding barriers to GSCM. However, those studies failed to show the possible pathways to implement GSCM. This study addresses the gap by evaluating barriers to GSCM considering effective pathways to GSCM. In this study, the Analytical Hierarchy Process (AHP) is integrated with Elimination Et Choix Traduisant La Realite (ELECTRE-I) method to identify and prioritize the barriers and to rank the possible pathways to implementing GSCM in the leather industry. To accredit the proposed framework, it is implemented on a leather-processing factory in Bangladesh. A sensitivity analysis is performed to inspect the strength of the outcome of this method. The outcome of this study indicates that the high cost of advanced technology is the most important barrier to implement GSCM while green technology and techniques are the most effective pathways to GSCM. The findings of this research will support researchers and practitioners by giving insights on barriers and possible pathways to implementing GSCM.