PROMETHEE Method Research Articles

USE OF INTEGRATED MCDM APPROACH FOR THE SELECTION OF LEAN TOOLS TO IMPROVE THE ORGANIZATIONAL-BUSINESS PERFORMANCE

There are numerous strategies and concepts that management can use in order to improve the organizational business performance of companies in modern business conditions. Research shows that one of the most prevalent principles in the past few years is the use of Lean tools, which enable managers to continuously improve their business. Since in most cases the problem of choosing Lean tools is solved through experience, the paper proposes the application of an integrated multi-criteria approach for decision-making. The evaluation of the relative importance of the criteria was performed using the AHP method, while the selection of the most suitable Lean tool was carried out using the ELECTRE method, the PROMETHEE method and the Compromise Programming method, using specially developed software for that purpose. The aim of this paper is to point out the importance and quality of the application of the proposed model in real and modern conditions of business and organization.

The analysis of risk assessment for the transmission of COVID-19 by using PROMETHEE and ELECTRE methods

The analysis of risk assessment for the transmission of COVID-19 by using PROMETHEE and ELECTRE methods

Assessment on High-quality Development of Guizhou's Agricultural Economy Based on Hesitant Fuzzy Linguistic Term Sets

In order to scientifically evaluate the quality of agricultural economic development in Guizhou's prefecture-level cities, the article constructs an index system for evaluating the quality development level of agricultural economy from four aspects, including optimization of agricultural economy structure, mechanization level of agricultural economy, green development of agricultural economy, and openness and sharing of agricultural economy, with reference to the current situation of agricultural economy development in nine cities and municipalities of Guizhou Province; and selects the original data of indicators from 2017 to 2021, and uses the hesitant fuzzy linguistic PROMETHEE method to the empirical evaluation of the quality of agricultural economic development was conducted. The empirical results show that Zunyi, Bijie and Guiyang have a high level of agricultural economic development, ranking among the top three in the province, and have a greater advantage in development level compared with other cities and municipalities, while Qianxinan Autonomous Prefecture has the lowest level of agricultural economic development. The level of high-quality development of the agricultural economy in Guizhou province shows overall growth but uneven regional development. In response to these problems, this paper gives policy advice.

Reasons why Tourist Guides Leave Their Profession

Öz: Profesyonel Turist Rehberi olarak çalışmakta olan kişiler karşılaştıkları bazı zorluklar sebebiyle mesleklerine devam etmeme veya bir süreliğine ara verme kararı alabilmektedir. Bu çalışmada eylemsiz turist rehberlerinin mesleği bırakmalarına sebep olacak etmenlerin ortaya konması amaçlanmıştır. Bu amaçla öncelikle ikincil kaynaklara yer verilerek turist rehberliği mesleğinin alt yapısı aktarılmış ve buna ek olarak mesleğin olası zorluklarına dair bilgilere yer verilmiştir. Çalışmanın ana bulgularını ise maksimum çeşitlilik ilkesine bağlı kalınarak eylemsiz turist rehberleri ile nitel araştırma yöntemlerinden görüşme tekniği kullanılarak toplanan veriler oluşturmuştur. Fenomenolojik bir araştırma deseniyle yürütülen çalışmanın verileri bilgisayar üzerinde nitel veri analizi programıyla düzenlenmiş deşifre edilerek kod ve temalara ayrılmıştır. Çalışmada 35 eylemsiz turist rehberine aynı açık uçlu 8 soru yöneltilmiştir. Bunun sonucunda katılımcıların meslekten ayrılma hikayeleri irdelenmiş ve adaylar ekonomik, sosyal, ailevi ve mesleki birçok yönden kendilerine uygun bulmadıklarından meslekten ayrıldıkları görülmüştür. Çalışmada katılımcıların öne sürdükleri sebepler tekrarlanana kadar veri toplama süreci devam etmiş ve doyuma ulaşma noktasında son bulmuştur. Katılımcıların mesleklerini icra etmemelerinde; ailelerinin ve kendilerinin geçimini yılın her döneminde sağlayacak güvence bulamamaları, meslek örgütlerinin işini layıkıyla yapmaması, düzenli ve yerleşik bir hayat yaşama imkânı oluşturamamaları gibi etmenler etkileyici olmuştur. Bu hususta tüm alt kodlar incelenerek tartışılmış ve turist rehberliği mesleğinin sorunları üzerine çözüm önerileri getirilmiştir.

Links between crime and economic development: EU classification

Research background: Although some authors propose that economic growth should reduce crime rates as wider opportunities to earn money in a legal way diminish the incentives to commit illegal activities and lead to rising costs of the latter, the results of many studies indicate that an increase in crime rates is also possible under the conditions of economic growth. There are also differing views on the relationship between various economic indicators and crime rates as well as the nature of the relationship between the above-mentioned phenomena in the long and short run. Purpose of the article: After classifying the EU member states by their crime and economic indicators, the main objective of the article is to assess the relationship between the crime and economic development and identify the causes of this relationship. Methods: Systematic and comparative literature analysis, the Promethee and Entropy methods, Spearman?s correlation coefficient. Findings & value added: The Promethee method, together with the Entropy method, were used to estimate the weights of the EU member states with respect to their crime and economic development indicators. The most pronounced differences were recorded in Portugal, Spain, and the Slovak Republic. The rankings estimated for the EU member states revealed that although economic situation affects crime rate, it can also be affected by the differences in cultural and political development. Scientific novelty lies in complementing the theory of the shadow economy with the results showing that compared to other crimes, corruption has the greatest weight when examining the relationship between economic development and crime. The practical significance of the research lies in classifying the EU member states into 4 groups with consideration of the relationship between crime and economic development, which may help public authorities to devise the target measures for the effective fight against crime given the nature of the relationship between crime and economic development.

INVESTIGATION OF PAPERS ACCORDING TO OPTICAL AND PHYSICAL PROPERTIES USING MULTI-CRITERIA DECISION-MAKING METHOD

In this study, using the multi-criteria decision-making mechanism PROMETHEE method, a decision-making mechanism is created for the most suitable paper selection according to some optical and physical properties of the papers. Within the scope of the study, 80 g/m2 high grade papers obtained from 5 different companies are used. The optical and physical properties of these papers are measured in the laboratory environment and the most suitable paper is selected by using the multi-criteria decision-making method. By using this method, the situations where the decision makers are undecided in the selection of paper became meaningful. By using this method, the most suitable paper can be selected in cases where there is uncertainty in both the paper and printing sector, and this method can be used by all companies that appeal to this sector. This study, which may attract the attention of many companies for the paper industry, has the potential to shed light on the studies in the field of decision making.

Evaluating the efficiency of relief centers in disaster and epidemic conditions using multi-criteria decision-making methods and GIS: A case study

Disaster response refers to any action taken and performed by disaster team managers after and during a disaster. According to the prevalence of the coronavirus and the unpredictability of the behavior of this virus, the capacities of hospitals and medical centers have been overshadowed by this epidemic. Governments have set up temporary rehabilitation centers to control the epidemic, make better use of resources, and quarantine COVID-19 patients. The Tehran (Iran) Disaster Management Organization has designated centers to house the injured and displaced during natural disasters such as floods and earthquakes. In this study, the efficiency and sustainability of the evaluation criteria of selected disaster management centers were evaluated in three scenarios: disaster conditions (natural disasters), epidemic conditions, and disaster-epidemic situations. Firstly, the research criteria were classified by experts using the fuzzy Delphi method and weighted using the triangular fuzzy aggregation method. In addition, the criteria are evaluated as information layers in the Geographic Information System (GIS) and the relief locations determined by the disaster management are evaluated against the research criteria. By forming a decision matrix, the alternatives in all three scenarios were prioritized using the PROMETHEE Method and evaluated in terms of efficiency. As a results, the main ways criterion shown with an impact factor of 13% among the evaluation criteria of centers in disaster situations. Additionally, the security criterion with an impact factor of 22% among the evaluation criteria of centers in epidemic conditions achieved the most important criteria in the PROMETHEE ranking.

Sistem Informasi Perhitungan Prioritas Pembangunan Daerah (SIPETAS) Berbasis Website

Development in all sectors is needed, especially by a country that is classified as a developing country like Indonesia. In carrying out development, each local government requires development planning with the aim that each development has an accurate impact and can evaluate what is being built. Regional development planning must also pay attention to the priorities of the development plan to be planned, so that regional development planning is in accordance with what is needed by the region. The purpose of this study is to create a website-based information system design regarding prioritizing regional development planning because the system currently running at BAPPEDA Ciamis district still uses a manual system and has not yet used a decision support system so that the process of determining regional development planning priorities experiences many obstacles, starting from the lack of data needed makes it difficult to determine regional development planning priorities. The method used in this study is the promethee method which includes the Decision Support System for ranking an object. The results of this study are the creation of a website-based information system design using a decision support system for calculating the promethee method. In addition, by using a website-based information system, requests for development plans proposed by the sub-district are more effective and efficient.

A new hierarchical multiple criteria ordered clustering approach as a complementary tool for sorting and ranking problems

Multiple criteria ordered clustering is a problem that involves grouping the objects of decisions (actions) into a priori unknown ordered classes considering the preferences of a decision maker (DM). By exploring the relationship between multiple criteria sorting and multiple criteria ordered clustering, we take advantage of some ordinal classification approaches to propose a new approach. The set of totally ordered clusters fulfills a property of monotonicity with respect to dominance and an asymmetric preference relation; this is useful for suggesting a more consistent and robust rank of actions regarding the existence of possible “irrelevant alternatives”. The algorithm designed to operationalize our approach makes use of either a fuzzy outranking relation or a fuzzy preference relation. Imperfect knowledge (namely uncertainty and imprecision) of criteria performance levels and model parameter values can be modelled using interval numbers. Our approach and algorithm are illustrated through a simple interval extension of the well-known PROMETHEE method, which is applied to group countries according to human development criteria. The OECD country governments are also grouped according to their public sector performance but instead using a fuzzy outranking relation in an interval framework. In both examples, the results are very promising.

Methodology for the Assessment of Multi-Hazard Risk in Urban Homogenous Zones

The multi-hazard risk assessment of urban areas represents a comprehensive approach that can be used to reduce, manage and overcome the risks arising from the combination of different natural hazards. This paper presents a methodology for multi-hazard risk assessment based on Spatial Multi-Criteria Decision Making. The PROMETHEE method was used to assess multi-hazard risks caused by seismic, flood and extreme sea waves impact. The methodology is applied for multi-hazard risk evaluation of the urban area of Kaštel Kambelovac, located on the Croatian coast of the Adriatic Sea. The settlement is placed in a zone of high seismic risk with a large number of old stone historical buildings which are vulnerable to the earthquakes. Being located along the low-lying coast, this area is also threatened by floods due to climate change-induced sea level rises. Furthermore, the settlement is exposed to flooding caused by extreme sea waves generated by severe wind. In the present contribution, the multi-hazard risk is assessed for different scenarios and different levels, based on exposure and vulnerability for each of the natural hazards and the influence of additional criteria to the overall risk in homogenous zones. Single-risk analysis has shown that the seismic risk is dominant for the whole pilot area. The results of multi-hazard assessment have shown that in all combinations the highest risk is present in the historical part of Kaštel Kambelovac. This is because the historical part is most exposed to sea floods and extreme waves, as well as due to the fact that a significant number of historical buildings is located in this area.

Analisis Pemilihan Supplier Kayu Pada Produk Furniture Menggunakan Metode Promethee

UD. Rahman Mebel is a company that produces various forms of furniture such as chairs, tables, cabinets, doors, windows, and various other forms of furniture. the purpose of this research is to determine the best supplier at UD. Rahman Mebel uses the Promethee Method. Four alternative suppliers have been determined by UD. Rahman Furniture namely: UD. Rini, UD. Dedi Putra, UD. Rangga Putra, UD Ujud Alam Riski and there were also four criteria tested, namely quality, price, service, and delivery. Based on the results of observations through interviews stated that the difficulties experienced in selecting the best supplier according to the company's criteria. For this reason, a solution to this problem is needed, namely by analyzing the determination of supplier choices using the Promethee method. From the results of this study is, the highest net flow value is UD. Rangga Putra is in first place with a score of 0.9999. The second rank is UD. Ujud Alam Riski with a score of 0.3333. The third rank is UD. Dedi Putra with a score of -0.9999. And the last rank is UD. Rini with a value of -0.3333.

An extended Step-Wise Weighted Assessment Ratio Analysis for improving criteria prioritization process Using PROMETHEE Method

The new Step Wise Weighted Assessment Ratio Analysis (SWARA) method incorporates the opinion of experts, advocates or litigants about the importance ratio. The SWARA methodology can be used in the p in a virtual environment Special decision support systems Practical implementation and Alternative Dispute Resolution. Possible polymetallic mineralization Future map of various study datasets Step wise through integration Weighted Ratio Analysis Developed by (SWARA). In the world of external methods PROMETHEE methods are very popular. One of the reasons for this popularity called PROMCALC-Promethee It is very user-friendly calculation software. Many trainers use their multiple criteria PROMCALC to handle problems. However, all users in PROMETHEE methods regarding the consequences of model assumptions made them will not know. We study the application of PROMETHEE outranking methods to portfolio selection problems. Starting from the new formulation of the PROMETHEE V method, based on the concepts of frontier portfolios and c-optimal portfolios we develop several alternative approaches. The Priority Ranking System Method for Saturation Evaluation (PROMETHEE) was used to solve the problem. Alternative is Technological (C1), Economic (C2), Political and legislative (C3), Social (personnel) (C4). Evaluation parameters are biomedical micro electromechanical systems (BioMEMS) (A1), Nano technology (A2), Biotechnology (A3), Biomedical engineering (A4). PROMETHEE methods are the best solution. The solution with the shortest distance from the negative-best solution the longest distance is determined, but comparison of these distances is not considered significant. As a result, technical factors (C1) are ranked first, while economic factors (C2) are ranked lowest.

An Extension of HVAC-AHU System Using PROMETHEE Method

An HVAC system is an indoor climate control system that combines heating and cooling equipment of various types. The Air Handling Unit (AHU) is the central component of a central air conditioning system. HVAC systems are used to provide comfort to the inhabitants of a building or to protect goods or objects placed in a space, and include mechanical, electrical, and I&C components. They remove dust and other particles from both outdoor and room air, and adjust temperature and humidity to provide chilled air through pipes to individual rooms. PROMETHEE is a ranking system used for assessing and enriching priority, and its interactive help provides descriptive complementary geometric analysis known as PROMETHEE methods. The PROMETHEE method determines the best solution from the analysis by calculating the distance between solutions and the negative-ideal solution. In this analysis, the shorter the distance and the longer the negative-ideal solution, the better the ranking. However, the comparison of these distances was not considered significant. The results show that the Heating and Cooling Split Systems received the first rank, while the Packaged Heating and Air Conditioning System received the lowest rank. Specifically, the Heating and Cooling Split Systems ranked first, the Duct-Free (Mini-Split) ranked second, the Hybrid Split System ranked third, and the Packaged Heating and Air Conditioning System ranked fourth

Seleksi dan Penentuan Third Party Logistik Transportasi Produk Pelumas Menggunakan Metode TOPSIS dan PROMETHE

Selection of Third Party Logistics (3PL) services is an important focus of attention for companies in selecting suppliers in their supply chain. The wide marketing area of PT PETRONAS's lubricant products demands 3PL performance to increase the company's service level. The purpose of this study is to analyze the decision-making process in the context of selecting 3PL transportation suppliers using the TOPSIS and PROMETHE multi-criteria methods. The type of data used consists of primary data and secondary data through library research, interviews, and field surveys. The process of selecting a transportation 3PL is carried out in two stages, namely selection of criteria and the commercial aspect of the bidding price per region is evaluated as the basis for selecting the best supplier. The selected suppliers are PT Wira Logitama Saksama, PT Glory sogotrans Mandiri, PT Iron Bird Logistik, PT Sumisho Global Logistik, and PT Dunia Express Transindo. Based on the results of the analysis using the PROMETHEE method, five criteria with the highest weight were produced, namely Price, Time Delivery, Health Safety Management, Infrastructure and Office Equipment. The results of the ranking using the TOPSIS method for shipping to each destination are that PT Wira Logitama Semesta is the best supplier for five shipping destinations, namely Jabodetabek, Bandung, Surabaya, Lampung and Medan and PT Iron Bird Logistik is the best supplier for shipping to Cilegon and Semarang.

A Model Proposal for Occupational Health and Safety Performance Measurement in Geothermal Drilling Areas

The energy sources required for general development and maintenance cause environmental pollution due to the carbon emissions released into the atmosphere. For these reasons, countries have turned to renewable energy sources. Energy production methods also cause serious problems in terms of the health and safety of employees. This study aimed to create an occupational health and safety performance model in geothermal energy fields, which generate renewable energy sources, using multi-criteria decision-making methods. A two-stage model was created for OHS performance index measurement. In the first stage, a literature screening was performed, risk analysis criteria were examined, and performance measurement criteria were determined with geophysical engineers and OHS experts. Seven main criteria and forty-seven subcriteria were set. An analytical hierarchy process method (AHP) and a fuzzy analytical hierarchy process (F-AHP) using the main criteria and subcriteria were determined. In the second stage, exposure rates were obtained using the Promethee method in three geothermal wells. The risks in these three wells are listed according to their importance. A performance model was created. The Results section includes conclusions and suggestions. This study, by creating an OHS performance model, can be used by managers and OHS professionals working in geothermal energy production fields to solve problems.

Fuzzy-Based PROMETHEE Method for Performance Ranking of SARS-CoV-2 IgM Antibody Tests.

Antibody tests, widely used as a complementary approach to reverse transcriptase-polymerase chain reaction testing in identifying COVID-19 cases, are used to measure antibodies developed for COVID-19. This study aimed to evaluate the different parameters of the FDA-authorized SARS-CoV-2 IgM antibody tests and to rank them according to their performance levels. In the study, we involved 27 antibody tests, and the analyzes were performed using the fuzzy preference ranking organization method for the enrichment evaluation model, a multi-criteria decision-making model. While criteria such as analytical sensitivity, specificity, positive predictive value, and negative predictive value were evaluated in the study, the ranking was reported by determining the importance levels of the criteria. According to our evaluation, Innovita 2019-nCoV Ab Test (colloidal gold) was at the top of the ranking. While Cellex qSARS-CoV-2 IgG/IgM Rapid Test and Assure COVID-19 IgG/IgM Rapid Tester ranked second and third on the list, the InBios-SCoV 2 Detect Ig M ELISA Rapid Test Kit was determined as the least preferable. The fuzzy preference ranking organization method for enrichment evaluation, which has been applied to many fields, can help decision-makers choose the appropriate antibody test for managing COVID-19 in controlling the global pandemic.

A robust multicriteria clustering methodology for portfolio decision analysis

We consider a portfolio decision problem in which a subset of projects is selected to form a portfolio by dealing with uncertain multiple criteria evaluations, decision makers’ preferences and real-world constraints. Over the last years, many methods have been developed with the aim of maximizing the sum of multicriteria scores of projects selected for the final portfolio. In this paper, unlike the existing literature, we propose a new robust multicriteria clustering methodology that enables to group the best ranked projects into a new kind of cluster (so-called optimal portfolio) that complies with the given constraints. With this aim, a new Integer Programming (IP) model as an extension of the K-medoids clustering technique is combined with the PROMETHEE method. Specifically, we first apply PROMETHEE for multicriteria evaluation of the individual projects and then the two main outputs of PROMETHEE, preference matrix and net flows, are used in the IP model to generate clusters of projects with the given resource constraints. Herein, to alleviate the problem without the influence of all K clusters on the final results, we focus on generating two clusters, with the selected projects in the best one forming the portfolio. In developing this model, we also introduce portfolio quality constraints to ensure the proper distribution of “good” evaluations among all considered criteria. We then enhance this combined model by embedding it into SMAA framework to consider the inherent uncertainties. As a large number of potentially optimal portfolios are obtained through the SMAA simulation, both project and portfolio-level robustness indices are computed in order to help decision makers to identify the most robust and stable portfolio. Our methodology is validated using the data from a bridge maintenance program.

Implementation of integrated BIM-VR into construction management curriculum: lessons learned and development of a decision support system

Several educational institutions and universities have introduced Building Information Modelling (BIM) and Virtual Reality (VR) courses separately in the construction management (CM) programs around the globe, and others are in the process of integrating them into their curricula. However, fewer institutions have included integrated BIM and VR into their courses. The industry needs for integrated BIM-VR are not fully recognised by universities due to the lack of a guideline and cognitive dissonance between academia and industry. As a result, most universities do not have a rigorous strategy for developing BIM-VR teaching topics and plans. This study firstly aims to report on some of the employed processes by university lecturers and academics in an Australian University to integrate BIM-VR education into CM curriculum. The review on the secondary sources indicates that the integration of BIM/VR education requires the consideration of three aspects including: industry needs, course contents, classroom size and software and hardware selection. The second aim of this paper is to develop a decision support system by utilising the PROMETHEE method as one of the multi-criteria decision-making approaches. The findings of the secondary sources and development of the decision support system help the educational institutions and practitioners for their future BIM-VR implementation initiatives.

Penerapan Metode Promethee pada Sistem Pendukung Keputusan Penerimaan Beasiswa

A decision support system is a computer-based system that helps users in the decision-making process. In this study, the authors use the promethee method in the decision support system for receiving scholarships at the Information Systems Study Program, University of Flores. The Flores University Foundation Scholarship is a form of appreciation for the Foundation in helping potential students in the form of finances given in the current semester. This research was conducted by building outranking relations through pairwise comparisons by looking for the values ​​of entering flow, leaving flow and net flow. The stages in the promethee method consist of two main parts, namely the stages of preparation and data analysis. The purpose of this study is to apply the promethee method and build a website-based scholarship acceptance decision support system. This decision support system is designed using the PHP programming language and MySQL database. The type of research used is applied research, while the author's research method uses quantitative methods. The application of this decision support system is expected to facilitate the Study Program in the best decision-making process on receiving scholarships at the Fores University Information Systems Study Program.

An Innovative Approach to the Intuitionistic Fuzzy PROMETHEE Method

Intuitionistic fuzzy PROMETHEE is a method that provides us numerous advantages thanks to its benefits such as allowing the researcher to observe the positive and negative rankings simultaneously, expressing the degree of hesitation, changing the significance weights of the criteria and using different methods when identifying the significance levels for each criterion, putting the degree of hesitation of significance weights into action, and enabling decision makers, who are given the opportunity to use different criteria types and different criteria types for alternatives and criteria, to establish a unique system. In line with the aims of this paper, an original application has been made and an innovative approach has been proposed in order to demonstrate the usefulness of the intuitionistic fuzzy PROMETHEE method.