Enrichment Evaluation Research Articles

Multi-Criteria Ranking of Z-Source Inverter Topologies for a Three-Wheel Fuel Cell Hybrid Electric Vehicle

Replacing the regular two-stage inverters with a Z-source inverter (ZSI), based on single conversion, has come under attention in fuel cell (FC) hybrid electric vehicles (HEVs). This substitution is to decrease the circuit complexity, cost, and required space. However, fulfilling these goals highly depends on the selection of a suitable topology. This paper performs a multi-criteria ranking to deeply analyze the impact of different ZSI topologies on the performance of a recreational FC-HEV, composed of FC stack and lithium-ion capacitor bank. First, the dual-energy sources are embedded into the Z-source network (ZSN). Subsequently, the Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) is utilized to rank different possible ZSI topologies based on four scenarios (standard, compactness, input current ripple, and compactness versus input current ripple). This analysis indicates that each scenario can have a suitable topology with respect to its requirements. Finally, the two highest-ranked ZSI topologies according to standard scenario are implemented by signal hardware-in-the-loop (HIL) to validate the effectiveness of the performed analysis. The results indicate that the use of the ZSI topologies lead to higher average efficiencies (1.98% and 4.07%), and smaller size and volume of passive components, compared to a conventional two-stage inverter.

Review and Bibliographic Analysis of Metaheuristic Methods in Multicriteria Decision‐Making: A 45‐Year Perspective Across International, Latin American, and Colombian Contexts

This study performs a systematic review and analysis of research on the use of multicriteria decision analysis (MCDA) methods for more than 45 years. More than 34,468 documents related to MCDA were identified in more than 130 countries, with an annual increase of 14.15% in scientific production. India, China, and Iran lead in number of publications, covering about 35%. The universities with the most publications include Islamic Azad University and Vilnius Gediminas Technical University. The main journals in this field are Expert Systems With Applications, Sustainability, and Journal of Cleaner Production. The most prolific authors are Zavadskas, E.; Wang, J.; Tzeng, GH; Zavadskas, EK; and Kahraman, C. The most popular methods are TOPSIS, AHP (analytic hierarchy process), VIKOR, PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation), and ANP. LATAN, which includes countries such as Brazil, Chile, and Mexico, has increased the use of MCDA in recent years. Colombia has also shown a great interest in MCDA, especially in the selection of alternative energy sources and industrial suppliers. This method of literature review provides a comprehensive overview of research at MCDA and offers valuable information for future projects and studies.

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Kombinasi Metode AHP dan PROMETHEE

Employees are one of the most important assets for a company to be able to survive, develop, compete and earn profits. In an increasingly competitive business world, competition drives companies to work harder to improve their quality. And it takes maximum effort to improve employee performance. One of them is to choose the best employees in hopes of improving their performance. The difficulty in making decisions made by the HRD department in determining the best employees is due to the large amount of employee data and the selection process that still uses manual methods, causing a long processing time in decision making. Decision Support System selection of the best employees is carried out using the Analytical Hierarchy Process (AHP) method to determine the weight of the criteria, as well as the use of the Preference Ranking Organization Method Of Enrichment Evaluation (PROMETHEE) method to find the overall order/ranking. Based on the results of the process of applying the Analytical Hierarchy Process (AHP) method and Preference Ranking Organization Method Of Enrichment Evaluation (PROMETHEE) to determine the best employee performance evaluation goes to the employee with the name effendi with a score of 0.8426 where the value of each attendance criterion is 80%, “Very Good” skills, “Very Good” Teamwork, “Good” Discipline, “Good Enough” Ethics.

Proposal of a Combined AHP-PROMETHEE Decision Support Tool for Selecting Sustainable Machining Process Based on Toolpath Strategy and Manufacturing Parameters

Sustainable manufacturing technologies are the new challenge faced by enterprises, industries, and researchers. The development of a sustainability-based assessment method considering the environmental and economic impacts is crucial to realize viable manufacturing. However, few studies have addressed environmental economics and social flows using a common perspective. Mechanical machining is one of the most-used manufacturing techniques. The overall ecological, economic, and social footprint requires accurate and effective estimation and optimization. Several studies have addressed this issue by examining the entire process of machining, but sustainability flows for machining parameters and toolpaths have remained relatively unexplored. The lack of systematic assistance tools bridging the gap between decision-maker preferences and the three sustainability pillars—economic, social, and environmental—has impeded the widespread adoption of sustainable machining practices. To this end, this paper proposes an integrated approach to the decision-making problem that combines the Analytical Hierarchy Process (AHP) with the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) for selecting a sustainable machining strategy. The sustainability criteria are driven by manufacturing process parameters commonly employed and regulated during the manufacturing phase. This includes toolpath strategies as a qualitative input factor and manufacturing parameters such as cutting speed, feed rate, depth of cut, and stepover as quantitative input factors, affirming the practical applicability of the method in industrial contexts. New fundamental methods are also presented for selecting the most efficient machining parameters and toolpaths according to the weights assigned to each ecological, social, and economic footprint by the decision-maker (the manufacturer or production manager). In this way, sustainable machining strategies in the manufacturing industry will be strengthened in integrity. In a case study of part-end milling, both manufacturing parameters and toolpath strategies are considered to establish sustainable feature-based machining decisions.

Waste-to-energy incineration site selection framework based on heterogeneous fuzzy regret-PROMETHEE model considering life-cycle carbon emissions.

Waste incineration technology has received extensive attention for its advantages of being harmless, reducing, and recycling. However, the waste-to-energy incineration project confronts significant "not-in-my-backyard (NIMBY) concerns," and irrational location choices will have negative effects on the project's economy and sustainability; it is also a great challenge to the credibility of the government. To this end, a multi-criteria decision-making framework is constructed for the site selection of waste-to-energy incineration projects. To begin with, a site selection criteria system is established including 16 sub-criteria from four aspects, where probabilistic linguistic term sets are introduced to depict the qualitative sub-criteria and probabilistic hesitant fuzzy sets are employed to express the uncertainty of quantitative sub-criteria. An optimization model is then built to determine the weights of criteria based on the Pearson correlation coefficient and least square method. Furthermore, a regret-preference ranking organization methods for enrichment evaluations (PROMETHEE) model is presented to rank alternatives in a heterogeneous decision environment. Finally, a case study in China is conducted to validate the applicability of the proposed framework; the result of the site selection demonstrates that alternative A2 located in Miyun, Beijing, is the most optimal option. This work provides investors with scientific decision reference and also extends the methods in the decision-making field.

Evaluation of whole-genome enrichment and sequencing of T. pallidum from FFPE samples after 75 years

Evaluation of whole-genome enrichment and sequencing of T. pallidum from FFPE samples after 75 years

MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection

Business competition is very important in controlling product-savvy customers. Strong basic service techniques will be the main factor that binds vendors as the final destination in the supply chain through the strength of business network processes. This research aims to create a strategic basis for evaluating and selecting vendors through the integration process services of the multi-criteria decision-making method analytic hierarchy process (MCDM-AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) methods. Empirical studies show how this approach can provide optimal decision support for the vendor evaluation and selection process. Eight different types of criteria are required in its apps and must be realized as a barometer of the strategic basis for selecting vendors so that business processes are of high quality. These criteria include quality of goods, payment methods, payment terms, minimum transactions, discounts, delivery times, inventory, and service. The optimal weight for each criterion will be determined based on its importance to the synthesis process and its feasibility tested using mathematical algebra matrices and expert choice apps. Decision-making was based on the results of ranking evaluation of selected vendors through the development of 342 preference matrices, ten vendors were deemed worthy of acceptance and nine other vendors were rejected.

Distribution Analysis and Ranking Analysis of Poverty Data From Three Data Sources in Bekasi Regency

In implementing evidence-based policies, it is necessary to support poverty data that is precise, accurate, and consistent. The goal is that various assistance, such as social assistance, PKH, groceries, pre-employment, and other subsidies, will be right on target for people experiencing poverty. The diversity of poverty data sources will have implications for the inaccuracy of targeting social assistance recipients. Until now, there are still three sources of poverty data, namely the Statistics Indonesia, the Ministry of Social Affairs (Kemensos) with Integrated Data on Social Welfare (DTKS), and TNP2K, which is now under the Coordinating Ministry for Human Development and Culture (Kemenko KMK) which also releases data targeting the Acceleration of Extreme Poverty Elimination (P3KE). The purpose of this study is to analyze the distribution of poverty data and rank analysis of poverty data from three data sources in the Bekasi Regency. The analysis method used ArcGIS 10.4 software and the administrative map shapefile for the Bekasi Regency area. In the ranking analysis of poverty data from three data sources in each sub-district in Bekasi Regency, the Preference Ranking Organization Methods For Enrichment Evaluation (PROMETHEE) method was used. The results of the analysis showed that the distribution of P3KE data is 1,317,098 people spread by decile-1 to decile-4 in all sub-districts of Bekasi Regency. Statistics Indonesia data is 229,367 people spread across each sub-district, and the number of DTKS in Bekasi Regency is 1,035,402 people, with the most distribution of data in Babelan District, namely 110,867 people out of 34,009. While the best ranking of the three sources of poverty data is Central Cikarang, Pebayuran District (0.7273), North Tambun (0.6364), Cibitung and Karang Bahagia (0.4242), North Cikarang (0.3939), South Tambun (0 .3636), Sukatani (0.2121), Serang Baru (0.1515), West Cikarang (0.1212), Tarumajaya (0.0909), East Cikarang (0.0606).

A Systematic Tri-level Demand-driven Supply-side Management Approach on Enhancing Building Energy Performance in an Educational Institution

The concept of demand-side management (DSM) is a ceaseless research topic craving an advanced, superior, and qualitative strategy for improving customers’ level of satisfaction with energy utilization. It encourages the active participation of prosumers and paves the way for sufficient energy proficiency. However, less attention is paid to accounting for consumers’ comfort and priorities. This paper presents a tri-level systematic approach for implementing demand-side and supply-side management at the consumer end. The proposed Tri-level Demand-Driven Supply-Side Management (TDD-SSM) framework commences with gathering knowledge on available loads in the department building block of a higher educational institution situated in the Madurai district of Tamil Nadu, India. The incorporated DSM technique follows strategic load categorization and load scheduling. Following that, a feasibility study on optimal sources is accomplished with Hybrid Optimization of Multiple Energy Resources software. The simulation is done to have a clear comparison in rendering a techno-enviro-economically feasible configuration of energy source to loads (with and without DSM). Ultimately, the framework concludes by picking the most promising energy configuration through the ideal computational multi-criteria decision-making–Preference Ranking Organization Method for Enrichment Evaluation II approach, which highlights the energy configuration of photovoltaic solar generation supply along with grid feeding loads after DSM incorporation and is found to be the best energy configuration under techno-enviro-economic criteria.

An integrated approach to design and evaluate Chinese-style stools

To inherit and promote the excellent design characteristics of Chinese-style furniture, this study focuses on Chinese-style stools and proposes an integrated design and evaluation approach with combination of shape grammar, KANO model, and entropy-weighted VIekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. Firstly, based on the initial forms of five Chinese-style stools, a shape feature library is constructed by extracting shape features using regional cultural symbols. Secondly, combining shape grammar and inference rules, innovative design alternatives are generated for Chinese-style stools, incorporating regional cultural symbol features. Thirdly, an in-depth investigation of Chinese-style furniture market is conducted, and user requirements are analyzed using KANO model questionnaire, categorizing the requirements into three attributes: appearance, technological, and economic. Based on KANO model’s classification of user requirements, a set of 14 evaluation criteria for Chinese-style stools is established. Finally, to avoid subjective factors in weighting the criteria, the entropy-weighted method is applied, and VIKOR method is utilized to obtain the optimal ranking of the design alternatives for Chinese-style stools, ultimately selecting the optimal alternative. The results show that based on VIKOR method, the optimal solution is the same with comparison to the results obtained from Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), preference ranking organization methods for enrichment evaluations (PROMETHEE) and elimination and et choice translating reality (ELECTRE) methods. In addition, to verify its ergonomic characteristics, feasibility and rationality, the optimal alternative is simulated by JACK software. By integrating shape grammar, KANO model, and the entropy-weighted VIKOR method, this study provides some insights for incorporating regional cultural symbols into the design of Chinese-style furniture and exhibits certain advantages in terms of comprehensive evaluation, user orientation, decision objectivity, and consideration of diversity.

Fabrication, characterization and optimal selection of aluminium alloy 8011 composites reinforced with B 4 C-aloe vera ash

The aim of this study is to determine the use of B 4 C along with AVA as economical reinforcements to improve the mechanical properties of aluminium alloy 8011. The purpose of this investigation is the development of cost-effective hybrid metal matrix composites. The present investigation assessed the mechanical characteristics of Al-8011 alloy, Al-8011/3AVA, Al-8011/4B 4 C, Al-8011/2.5B 4 C/2.5AVA, and Al-8011/3B 4 C/3AVA composites, which were manufactured through stir-casting techniques. Scanning electron microscope (SEM) imaging with an energy-dispersive spectroscope (EDS) was performed on the fabricated composites to confirm the presence of reinforcements, and the images revealed a uniform distribution of reinforcements in the matrix. The density of the composite decreased with an increase in weight % of AVA-B 4 C in comparison with that of matrix aluminum alloy 8011. Results obtained for tensile strength and hardness exhibit the optimal results from adding 3 wt.% B 4 C with 3 wt.% AVA. The present paper also investigates the application of three multiple criteria decision-making (MCDM) methodological approaches to select the best option.

Sustainable solutions for the wood and paper industry: A comprehensive assessment of the rural environment impact

Industries in underdeveloped areas can have a substantial impact on the socio-cultural, economic, and environmental development of the surrounding regions. Thus, evaluating the positive and negative effects of these industries on the local environment is essential. In this research, the impact of the wood and paper industry on rural areas was evaluated, considering the issue of sustainability in three scenarios. First, using the fuzzy Delphi method, effective criteria in the evaluation of villages were identified and determined, considering the establishment of the industry in the surrounding environment. Then, using the Best Worst Method (BWM), improvement and challenging criteria in the rural environment were weighted. Additionally, Geographic Information System (GIS) was employed to extract data and assess the study area's geographical information, while also prioritizing research options using the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE (. Investigating the impact of the industry on rural areas with regard to the issue of sustainability in three different scenarios, identifying the positive and negative effects of economic, social, and environmental criteria, and evaluating stability and reactivity to analyze the impact of each criterion on other criteria were some of the contributions of this research. The results showed that economic criteria (improvement) had the most positive effect with 34% and environmental criteria (challenge) had the most negative effect with 31%. Also, the results indicated that the criteria of groundwater pollution with an impact factor of 14%, increasing job opportunities with an impact factor of 9%, and increasing consumerism of the people with an impact factor of 7% were among the most important criteria that increased or decreased the impact percentage of each criterion the ranking results and the impact percentage of other criteria also change. According to the evaluation results of the positive and negative effects of the criteria in relation to each other and to the surrounding areas, corrective measures can be taken to reduce or eliminate the challenging factors so that the positive effects are maximized, and the amount of negative effects on the surrounding areas is reduced.

Selective laser melting of a novel 13Ni400 maraging steel: Material characterization and process optimization

Selective laser melting (SLM) has attracted recent attention in building parts with improved functionality and properties. Accordingly, the present work attempts to fabricate a novel 13Ni400 maraging steel parts with maximum theoretical density by SLM. A Box Behnken Design response surface methodology (RSM) approach is used to evaluate the influence of critical process parameters (laser power, laser scan speed, layer thickness, and hatch spacing) on the relative density, micro hardness, surface roughness, and tensile strength. Both the powder and the fabricated parts were characterized for the structural and microstructural features using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The influences of energy density and other process variables are explored through careful parametric studies and 3-D surface plots. Analysis of variance (ANOVA) is carried out, which reveals that the laser power and layer thickness are the most dominant process parameters impacting the performance of the SLM process. A revolutionary preference ranking organization technique for enrichment evaluation (PROMETHEE) is adopted to convert the multiple responses into an equivalent net outranking flow and rank the alternatives. The PROMETHEE-based outcomes are further improved by using a cuckoo search (CS) algorithm. A confirmatory test is conducted on the optimum build conditions obtained by the hybrid methodology (combination of PROMETHEE and Cuckoo Search) to validate the proposed work. It is seen that the value of net outranking flow is enriched by ∼5 %. This work is proficient in producing defect-free parts, with maximum densification and with improved mechanical properties for a newly developed 13Ni-400 maraging steel.

Selection of Material and Manufacturing Technology for Batik Canting Stamps Based on Multi-Criteria Decision-Making Methods

This study aimed to develop alternative materials and technologies for making canting stamps used in producing batik canting (stamped batik) to transfer hot wax from the pan to the fabric. Previous researchers have studied materials such as wood, aluminum, multiplex, acrylic, and acrylonitrile butadiene styrene (ABS). Manufacturing technologies have also been analyzed, including manual manufacturing, computer numerical control (CNC) milling, laser cutting, and additive manufacturing. However, none of these materials and technologies were considered suitable alternatives for copper canting stamps. This paper proposes Conductive ABS-Electroformed By Copper (CABS-EBC) through additive manufacturing and electroforming processes as alternative material for canting stamps. A multi-criteria decision-making (MCDM) approach was used to assess alternative materials and technologies. The alternatives and criteria were calculated using the Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE) techniques. Besides this, assessment was also carried out based on expert opinions. The results showed that copper was the most suitable material, with Closeness = 1.000, Yi = 0.995, and Phi = +1.00. Meanwhile, CABS-EBC ranked second, with Closeness = 0.627, Yi = 0.864, and Phi = +0.50. The selected technology was additive manufacturing combined with electroforming, with Closeness = 0.700, Yi = 0.895, and Phi = +0.39. By using MCDM on the material-technology development candidates it was found that CABS-EBC processed with additive manufacturing is capable of substituting copper as a canting stamp material. It is expected that the production capacity of the traditional manufacturing process can be enhanced by adopting these new materials and technologies.

An application of the hybrid AHP-PROMETHEE approach to evaluate the severity of the factors influencing road accidents

The evaluation of the severity of the factors influencing road accidents with a detailed severity distribution is critical to plan evidence-based road safety improvements and strategies. However, currently available studies use statistical and machine learning (ML) models to evaluate the severity of factors causing road accidents without a detailed severity distribution. Further, most of these available models require significant pre-data processing and have certain data-centric limitations. However, the multi criteria decision-making (MCDM) techniques have the potential to combine expert opinions for robust analysis without any pre-data processing calculations. Thus, this study uses a hybrid analytic hierarchy process (AHP) and the preference ranking organisation method for enrichment evaluation (PROMETHEE) approach to analyse the severity of factors and characteristics that influence road accidents within the Gujarat state, using injury types as criteria and minor road accident influencing factors as alternatives. These 82 minor factors have been further characterised into 18 characteristics and 4 major factors. Further, AHP integrated 40 expert inputs to determine criterion weights, while PROMETHEE ranked all minor variables. Then, after applying k-mean clustering, each ranked factor has been classified as very severe, moderately severe, or severe. The result clearly highlights that overspeeding, male gender, and clear weather conditions have been concluded to be the highly severe factors for Gujarat state. Thus, by providing a clear severity analysis and distribution of factors influencing road accidents, the proposed research may help government stakeholders, researchers, and politicians build severity-based road safety reforms and strategies with clarity.

Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework

Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness. In the context of real estate enterprises, credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects. Additionally, it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry. However, Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns, making subjective evaluation approaches inevitable, occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks. To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises, this study proposes an integrated multi-criteria group decision-making approach. First, a credit risk assessment index for Chinese real estate enterprises is established. Then, the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods. This approach is suitable for processing large amounts of data with high uncertainty, which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjective evaluation information. Finally, the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility. This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.

A Model Proposal for Measuring Performance in Occupational Health and Safety in Forest Fires

This study endeavors to prioritize occupational health and safety (OHS) accomplishments across ten forest management directorates in a specified province of Turkey, utilizing multi-criteria decision-making techniques (MCDMT). In a rigorous evaluation across four applied methodologies, the alternative P5 (amount of risk before measures) consistently exhibited superior performance. A notable emphasis of this research lies in the employment of a sophisticated OHS performance model, developed herein, to critically assess the OHS performance within these forest management directorates. In our evaluations, static variables such as land use and land cover, slope, vegetation type, soil characteristics, and distance from highways and human settlements were considered. Similarly, dynamic variables including temperature, wind speed and direction, and humidity were also factored in. Our findings corroborate the substantial ramifications, both tangible and intangible, of workplace accidents, hence underscoring the imperativeness of extensive, inter-industrial research initiatives geared towards effective accident prevention. This research is particularly focused on fortifying accident prevention measures in the arena of occupational health and safety during forest fires—an area with substantial economic and social implications, and of escalating importance in light of the expanding prominence of clean energy sources. Specifics pertaining to the forest fire rate within the studied directorates, as well as the criteria bearing the most and least impact as determined by this study, will be explicated in the full text, accompanied by their corresponding percentage values. Through the employment of Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (F-AHP), and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method, this study demonstrates the efficacy of MCDMTs in assessing and categorizing OHS performance, hence contributing valuable insights to managers, OHS experts, and future research undertakings. In conclusion, this research concentrates on the formulation of employee-centric occupational health and safety systems, with a specific emphasis on forest fires. The proposed OHS performance index model represents a tool of exceptional potential in the evaluation of performance measurement, while addressing uncertainties across diverse sectors. This underscores the urgency of addressing health and sustainability issues within economic, social, and ecological domains through the rigorous examination and implementation of effective OHS practices.

Sustainable alternative livelihood for sand miners in Malang Regency, East Java, Indonesia: application of the PROMETHEE method

Sand mining activities on agricultural land and rivers in Bambang Village, Wajak District, Malang Regency, have been ongoing for a long time. The sand mining activities on private agricultural lands, besides being illegal, also damage the land and the environment. In addition, these sand mining activities are also unsustainable. This study aimed to analyze and formulate sustainable alternative livelihoods of sand miners on agricultural lands in Bambang Village, Wajak District, Malang Regency, based on local resources. The study method was carried out using a combination of case studies and survey methods, accompanied by in-depth interviews and field observation. The in-depth interviews were conducted by interviewing 60 respondents for key informants from miners, farmers, many stakeholders, and experts that were selected purposively. The data obtained were analyzed using a multi-criteria analysis (MCA), namely PROMETHEE (Preference Ranking Organization Methods for Enrichment Evaluation) program to formulate sustainable alternative livelihoods. The results showed that the best alternative sustainable livelihood at this location is agriculture. The second best alternative sustainable livelihood is ecotourism, the third is animal husbandry, and the fourth is informal sectors based on local resources. The government should support the development of agriculture, ecotourism, animal husbandry, and the informal sectors in the village.

A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry

PurposeThis paper aims to enable the analysts of reliability and safety systems to evaluate the risk and prioritize failure modes ideally to prefer measures for reducing the risk of undesired events.Design/methodology/approachTo address the constraints considered in the conventional failure mode and effects analysis (FMEA) method for criticality assessment, the authors propose a new hybrid model combining different multi-criteria decision-making (MCDM) methods. The analytical hierarchy process (AHP) is used to construct a criticality matrix and calculate the weights of different criteria based on five criticalities: personnel, equipment, time, cost and quality. In addition, a preference ranking organization method for enrichment evaluation (PROMETHEE) method is used to improve the prioritization of the failure modes. A comparative work in which the robust data envelopment analysis (RDEA)-FMEA approach was used to evaluate the validity and effectiveness of the suggested approach and simplify the comparative analysis.FindingsThis work aims to highlight the real case study of the automotive parts industry. Using this analysis enables assessing the risk efficiently and gives an alternative ranking to that acquired by the traditional FMEA method. The obtained findings offer that combining of two multi-criteria decision approaches and integrating their outcomes allow for instilling confidence in decision-makers concerning the risk assessment and the ranking of the different failure modes.Originality/valueThis research gives encouraging outcomes concerning the risk assessment and failure modes ranking in order to reduce the frequency of occurrence and gravity of the undesired events by handling different forms of uncertainty and divergent judgments of experts.

Hesitant triangular fuzzy FlowSort method: the multi-criteria decision-making problems

Multi-criteria sorting problems have gained significant importance across various fields. However, when experts express their opinions using linguistic terms and quantitative evaluation criteria are not feasible, the fuzzy set theory proves to be a suitable framework. Moreover, in such scenarios, the use of hesitant fuzzy sets becomes necessary because each criterion might have multiple values compared with other alternatives. This paper introduces a novel method called Hesitant Triangular Fuzzy Sorting (HTFFS), which is a variation of the fuzzy FlowSort method based on the preference ranking organisation method for enrichment evaluation (PROMETHEE). The HTFFS method incorporates the theory of fuzzy sets and establishes theoretical foundations for calculating the degree of superiority of each alternative over others. This calculation uses mathematical operators specifically designed for uncertain fuzzy sets and uncertain triangular fuzzy numbers. To demonstrate the effectiveness and practicality of the proposed HTFFS method, two numerical examples are presented. The results obtained from these examples showcase the applicability and validity of the HTFFS method in handling multi-criteria sorting problems.