Optimal Alternative Research Articles

Advanced multi-criteria decision-making technique to describe the relationship between criteria and select optimal alternatives

Advanced multi-criteria decision-making technique to describe the relationship between criteria and select optimal alternatives

Parametric optimization and determination in machining processes by means of probabilistic multi-objective optimization

In the present article, it attempts to present the determination of optimal parameters of machining processes by means of probabilistic multi-objective optimization (PMOO), in which the optimal objectives (attributes) are fundamentally divided into beneficial type and unbeneficial type, moreover all attributes of both beneficial type and unbeneficial type are evaluated separately with equivalent manner to get their partial preferable probability. Finally, the total preferable probability of each alternative is obtained by the product of all partial preferable probabilities, which is the unique and decisive representative of the alternative to join the competitive optimization, the optimum alternative is with the highest total preferable probability. An example of parametric optimization and determination of aerospace component with Electro Chemical Machining (ECM) is taken to illuminate the procedure. In the case of ECM, the current, voltage, and feed rate are as the optimal parameters to be investigated, while Material Removal Rate (MRR), and Surface Roughness (SR) are the optimal objective responses to be measured. The experimental runs were designed using an L27 Taguchi orthogonal array. In the assessment of PMOO for ECM, the objective MRR belongs to the beneficial attribute, and the objective SR is as the unbeneficial attribute. The novelty of this work is to reflect the simultaneity and the irreplacement of optimization of objectives MRR and SR in the optimal system. The evaluated results reveal that the optimized experimental scheme is the alternative 8, which is with the optimal responses of MRR of 280.112 g/min and SR of 0.45 mm, the corresponding optimum experimental parameters are voltage of 12 V, electrolyte flow rate of 12 m/s and tool feed rate of 0.4 mm/min, respectively. The achievement of the present article indicates the validity of the corresponding approach and algorithm.

The phantom effect in information visualization

Recent research focuses on understanding what triggers cognitive biases and how to alleviate them in the context of visualization use. Given its role in decision-making in other research fields, the Phantom Effect may hold exciting prospects among known biases. The Phantom Effect belongs to the category of decoy effects, where the decoy is an optimal yet unavailable alternative. We conducted a hybrid design experiment (N=76) where participants performed decision tasks based on information represented in different visualization idioms and phantom alternative’s unavailability presentation delays. We measured participants’ perceptual speed and visual working memory to study their impact on the expression of the Phantom Effect. Results show that visualization usually triggers the Phantom Effect, but two-sided bar charts mitigate this bias more effectively. We also found that waiting until the participant decides before presenting the decoy as unavailable helps alleviate the Phantom Effect. Although we did not find measurable effects, results also suggest that visual working memory and visualization literacy play a role in bias susceptibility. Our findings extend prior research in visualization-based decoy effects. They are the first steps to understanding the role of individual differences in the susceptibility to cognitive bias in visualization contexts.

Интерактивное приложение, реализующее метод уверенных суждений на массовой программной платформе

The article examines the functionality and architecture of an interactive application designed to support multi-criteria decision-making using S.A. Piyavsky's confident judgment method. It provides a description of key components of this method essential for presenting the topic in a computer-oriented format for data and knowledge representation. The application stores and provides access to a bank of universal importance coefficients for specific criteria and serves as the core of an information methodology for decision-making based on the confident judgment method. This methodology includes the following stages: compiling a list of alternative solutions with evaluations by a set of specific quantitative criteria; establishing a selection policy that orders criteria by importance for the decision-maker; normalizing the multi-criteria problem statement in line with a foundational optimization model; evaluating each alternative solution within this model; and selecting the optimal alternatives. The application automatically coordinates the creation and editing of the list of alternative solutions according to variation boundaries set by the selection policy, integrating all solution stages with user feedback. The application’s functionality is represented by a diagram linking the main activities and their outcomes, along with a UML diagram of application use cases. The architecture of the application is presented as a mind map. The application is implemented on the Excel platform using VBA programming language, chosen to ensure accessibility and support the development of advanced multi-criteria decision-making methods for a broad user base who use Excel in their professional work.

AIE-active fluorescence emitters containing tetraphenylethylene and α-cyanostilbene with mechanochromism and photo-responsive behaviors

Aggregation induced emission luminogens (AIEgens) as one of the optimal alternatives for designing stimuli-responsive fluorophores for real-life applications have sparked much current interest in smart materials design. Herein, the “Star molecules” in AIEgens of α-cyanostilbene and Tetraphenylethylene (TPE) derivatives were constructed into one molecular, namely DC-TPE-tBu and DC-TPE-CN. Both compounds exhibited significant AIE properties. Moreover, the two compounds could change their luminescent colors and intensities under the stimulation of external mechanical force and UV light, showing excellent mechanochromic luminescent (MCL) and remarkable photo-responsive behaviors, respectively. The stimuli responsive mechanisms were investigated by powder X-Ray diffractometer (PXRD) spectra and density functional theory calculations (DFT). The MLC behaviors were associated with the crystalline-to-amorphous transitions after mechanical grinding. These remarkable features make them suitable for the application of mechano/photo-sensors. The studies provide a useful strategy for developing AIE-active functional materials.

Transport Policy Pathways for Autonomous Road Vehicles to Promote Sustainable Urban Development in the European Union: A Multicriteria Analysis

The European Union’s policy aims for the wide-scale deployment of automated mobility by 2030, i.e., within the next programming period (2028–2034), with the deployment of autonomous road vehicles (AVs) in cities playing a key role. Researchers suggest that AV deployment will have complex impacts on urban development, which are difficult to quantify due to scarce real-life data. The present research aims to evaluate different policy pathways of AV deployment for sustainable urban development in the next EU programming period. A multicriteria analysis is conducted, combining AHP and VIKOR, with the participation of experts across Europe. Initially, the potential impacts on sustainable urban development are weighted as evaluation criteria. Then, different pathways are evaluated against these criteria, i.e., AV deployment as collective and/or private transport in specific areas and periods or in the whole Functional Urban Area (FUA) on a 24 h basis. An interesting finding is that the effect on the city’s spatial development, not thoroughly examined by literature, is highly ranked by experts. Regarding policy pathways, autonomous collective transport with 24 h service of the FUA emerged as the optimum alternative. The proposed methodology provides a tool for planners, researchers, and policy makers and a framework for an open debate with society.

Decision Support System for Determining Recipients of Subsidized Foodstuffs for Poor Families Using the Simple Addictive Weighting Method

Technology is increasingly becoming a necessity that must be met, both in the world of education and in the world of business and social, especially information technology is used not only as a support but also as a primary need that can be used to provide information quickly. In accordance with what has been determined to obtain Subsidized Food, criteria are needed to determine who will be selected to receive subsidized food. The distribution of subsidized food is distributed to underprivileged or poor citizens. To assist in determining who is eligible to receive subsidized food, a decision support system is needed. One method that can be used for Decision Support Systems is by using Simple Additive Weighting (SAW). In this study, a case will be raised, namely finding the best alternative based on predetermined criteria by using the SAW method to calculate the method in the case. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is those who are entitled to receive subsidized food based on the specified criteria. The study was conducted by finding the weight value for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely the poor. After the study was conducted, the results obtained were that there were 4 alternatives receiving Subsidized Food and the one with the highest value was alternative 5 with the name Yuhel Fentri with a value of 0.875.

Intersecting social welfare with resilience to streamline urban flood management

Urban policymakers have long searched for stormwater management plans that incentivize stakeholders to adopt Green Infrastructure (GI) while effectively reducing the vulnerability of drainage systems. In this regard, our research introduces a novel framework to develop GI strategies that provide both hydrological resiliency and social acceptance. To achieve this, first, using a coupled Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II), optimal alternatives for GI planning were generated. In the optimization process, we used a novel Simple Urban Flood Resilience Index (SUFRI) to consider the internal performance of the system in identifying resilient plans. Derived management strategies warrant runoff volume reduction and resilience improvement up to 31.3% and 55.1%, respectively. In the next step, Utilitarian-based Social Welfare (USW) was employed to clarify the socio-economic behavior of management strategies. Results indicate that while financial incentives significantly motivate developers to implement GI, they cannot guarantee high social welfare, and achieving a sustainable solution requires evaluating both SUFRI and USW layers under different subsidy levels. Visualizing the SUFRI layer revealed a critical failure in the resiliency trend of solutions that cannot be detected by evaluating simpler metrics, such as runoff volume reduction. This highlights the importance of the SUFRI method in conducting deeper evaluations and preventing financial waste. Finally, we navigated the intersection of USW and SUFRI measures to reach an ideal management plan with optimal supporting level. Our findings showed that the selected solution with the highest social acceptability can improve the resiliency of the system by 29 %. This study is a novel combination of the hydrological and social aspects of stormwater management, enabling decision-makers to take significant steps towards sustainable urban development.

Experimental investigation on the flexural performance of reinforced cold-formed steel 'C' section beams

A very interesting technical objective for the improvement of the mechanical performance of cold formed profiles is to avoid its instability or even to reduce its effect. Among the proposed solutions, the reinforcement of the section with struts offers an optimal alternative. Positioned parallel to the web and fixed to the edges of the flanges, the struts perfectly counteract local instability and delay global instability. This study is a component of an experimental and numerical strategy to determine how much of an impact this kind of reinforcement will have on the overall strength of a bent C-beam.Two profile sizes and various variants of strut reinforcement are proposed. Experimentally, the profile is progressively braced between its flanges with square pieces, the side of which is equal to the height of the web. Thus, blocking their warping, at defined spacing, one could judge the contribution of the device added to the flexural rigidity. Following a finites elements modelling (ABAQUS) andthen a characterization of the cross-section according to Eurocode 3, the article proposes a prediction model that can estimate the contribution of the struts to the flexural rigidity of these profiles. The results were encouraging, as the flexural inertia can double at certain strut spacing, with almost no change in weight.

Microbiological analysis of donor human milk over seven years from the Hearts Milk Bank (United Kingdom)

When maternal milk is unavailable, donor human milk (DHM) from human milk banks (HMBs) is the optimal alternative, as recommended by the World Health Organisation. The microbiota of DHM could contain opportunistic pathogens, which means rigorous microbiological screening for DHM, prior to pasteurisation, is recommended to safeguard recipients. Here, an analysis of 6863 DHM samples from 1419 donors at the Hearts Milk Bank between 2017 and 2023 showed approximately 70.1% of samples exhibited a total viable count (TVC) between 10³-10⁵ CFU/mL, while 18.3% yielded no growth; 11.5% of samples exceeded the 10⁵ CFU/mL threshold. Staphylococcus was the most prevalent genus, with S. epidermidis found in 61.5% of samples. A significant (p < 0.05) negative co-occurrence was observed between S. epidermidis and Gram-negative opportunistic pathogens. Overall, 16.8% of DHM samples failed to meet UK microbiological screening criteria, with 68.3% of these failures due to exceeding TVC thresholds. S. epidermidis accounted for approximately 10.2% of the total failed samples. The majority of DHM samples met the current microbiological criteria specified in the National Institute for Health and Care Excellence (NICE) clinical guidance (CG93), “Donor milk banks: service operation”. The core species in DHM reflects microorganisms typically found on the skin. These findings highlight that the current UK thresholds and criteria could potentially be modified to increase the available supply of DHM without increasing microbiological risk.

ФОРМУВАННЯ ПОРТФЕЛЮ ІНСТРУМЕНТІВ ЦИФРОВОГО МАРКЕТИНГУ ПІДПРИЄМСТВА В УМОВАХ ВІДНОВЛЕННЯ ЕКОНОМІКИ УКРАЇНИ

The article examines the peculiarities of the period of post-war recovery of the Ukrainian economy and their influence on the composition of the portfolio of digital marketing tools of enterprises. The purpose of the article is to develop an algorithm for forming a portfolio of digital marketing tools for an enterprise in the period of post-war recovery, to clarify the concept of a "portfolio of digital marketing tools of an enterprise." It is substantiated that in the post-war period, the provisions of the concept of anti-crisis marketing will be relevant for planning the marketing activities of enterprises. The most common digital marketing tools are identified. The definition of the term "portfolio of digital marketing tools of the enterprise" is proposed. An algorithm for forming a portfolio of enterprise digital marketing tools has been developed. It was determined that the audit of the enterprise's marketing activity is the foundation for the formation of the enterprise's portfolio of digital marketing tools. It was determined that conducting marketing research will contribute to increasing the accuracy of the planning of the enterprise's anti-crisis marketing program. It is proposed to apply decision-making criteria in conditions of uncertainty and risk when choosing optimal alternatives for achieving the company's marketing goals in the post-war period. It was determined that monitoring the level of rationality of the company's portfolio of digital marketing tools is a necessary condition for controlling the company's marketing activities. The expediency of focusing on a proactive strategy in the implementation of marketing activities has been investigated. It has been studied that in recent years the tools of digital marketing have been constantly improved and this allows it to be considered as an opportunity to spend the marketing budget of enterprises more rationally. The portfolio of digital marketing tools can include content marketing, SEO, contextual and targeted advertising, advertising in social networks, e-mail marketing, influencer marketing, lead generation, complex analytics, viral marketing.

Towards a sustainable decision analysis approach for moisture-safe building envelope design

Energy-efficient building designs, notably through adding insulation, can reduce energy consumption and greenhouse gas emissions by over 40 %, but may also increase risk of condensation. Therefore, a comprehensive decision analysis approach is essential for selecting optimal building envelope assemblies while considering their hygrothermal, economic, and environmental implications. This study introduces a novel decision analysis method based on the inutility decision analysis (IDA) concept, in which the building envelope with the lowest inutility is considered the optimal choice. Initially, different building envelope assemblies were assessed through probabilistic hygrothermal analysis combined with a machine learning metamodel. Subsequently, the environmental and economic consequences associated with each assembly were quantified by integrating moisture-related damage into these assessments. Combining these outputs yielded inutility indices for the case studies, guiding the selection of the most optimal alternative. The results indicated that an external wall, with a minor risk of moisture-related failure, may outperform other alternatives when considering economic and environmental metrics. However, the final decision on the acceptability of such risk should rest with the customers or owners. Balancing the trade-off between performance longevity, cost, and occupants’ health is crucial.

A large-scale group decision-making framework based on two-dimensional picture fuzzy sets in the selection of optimal carbon emission reduction alternatives

This article proposes the concept of two-dimensional picture fuzzy sets (TDPFS). This new framework extends the original picture fuzzy sets (PFS) by incorporating a confidence level to evaluate expert opinions using probability. This innovation facilitates the stratification and dimensionality reduction of large-scale expert groups, while also offering a new perspective for examining group decision-making problems. This article determines the weights of each subgroup by considering the confidence level of expert evaluation, the cohesion of the subgroups, and the size of the subgroups. This approach simplifies the decision-making process by transforming the originally complex large-scale group decision-making problem into a traditional decision-making problem. Finally, the traditional consensus reaching process (CRP) ensures that experts meet specific consensus requirements in decision-making. To verify the feasibility and practicality of the framework in practical applications, we applied it to the selection of carbon emission reduction paths and alternatives in China’s iron and steel industry. This practice not only demonstrates the theoretical value of our research results but also highlights its potential in practical operations.

Large bore access for transcatheter aortic valve replacement, endovascular aortic repair, and thoracic endovascular aortic repair. A review of anatomic challenges and operative considerations.

Transcatheter aortic valve replacement (TAVR), endovascular aortic repair (EVAR), and thoracic endovascular aortic repair (TEVAR) are standard and prolific procedures in the modern cardiovascular world, and appropriate delivery of these endoprostheses requires adequate understanding of the requisite large bore access. Percutaneous large bore access is the preferred route but may be accompanied by complications like thrombosis, hemorrhage, or inability to deliver the device. Anatomic limitations such as vessel tortuosity, small size, and heavy calcification may require alternative approaches for successful large bore access. This study aimed to better define large bore access, as well as to elucidate optimal adjuncts and alternatives to enable successful delivery of large bore endoprostheses. A systematic review for "large bore access" in the cardiovascular literature was conducted on PubMed and the Cochrane Library Central according to PRISMA guidelines. Identified articles were filtered and sub-selected for TAVR, EVAR, and TEVAR; studies related to other large bore interventions were excluded. A representative selection of 39 full-text studies included both cardiac and vascular studies and was critically interpreted to identify a consensus definition for large bore access, challenging anatomy, and adjuncts or alternative approaches to the standard transfemoral approach. Transfemoral access remains the first-line approach but in the setting of unfavorable anatomy, adjunct maneuvers (e.g. intravascular lithotripsy, endoconduits) or alternative approaches (supra-aortic, transcaval) help decrease morbidity, mortality, length of procedure, and overall health care cost in large bore access.

Organic waste recycling application increases N availability and mitigates N2O emission without crop yield penalty in the North China Plain.

Agricultural organic waste recycling can supply nutrients for crop production and partially replace chemical nitrogen fertilizers, which is beneficial for waste management and environmental protection. Nevertheless, comprehensive evaluation of the effects of different organic materials applications on crop yield and the environment is limited. Therefore, in this study, a comprehensive investigation of the synergistic effects of straw, pig manure, and biogas residue recycling on the wheat (Triticum aestivum L.) and maize (Zea mays L.) systems was carried out in the North China Plain. Field experiments were conducted from 2019 to 2021, comprising five treatments: straw (ST), pig manure (PM), and biogas residue (BR) partially replacing chemical nitrogen fertilizer, sole application of chemical nitrogen fertilizer (CF), and a control with no nitrogen application (WN). The results showed that organic materials significantly increased soil total nitrogen (3.04%-9.10%) and N recovery efficiency (REN; 42.21%-44.99%), but pig manure was more beneficial in increasing crop yields (3.50%), especially wheat yields (8.72%), and REN was significantly higher than that of the other treatments. Organic materials performed differently in wheat and maize seasons, and wheat yield could be improved by organic materials return. Organic materials stimulated N2O emission in wheat season (4.28%-32.20%), while biogas residue inhibited the N2O emission in maize season (47.47%). The negative effect of straw and biogas residue on yield decreased with increasing years of return, and pig manure continued to contribute to yield. In conclusion, pig manure is the optimal alternative that can increase crop yield, soil N content, and REN without stimulating N2O emissions.

Finding alternative stepwise improvement paths with different improvement effects

Targets on the data-envelopment-analysis (DEA) efficient frontier show the direction of inefficient decision-making units’ (DMUs) improvements. Some authors have correlated the improvement effects of targets with management needs. Nevertheless, targets are unattainable for DMUs with poor performance. Hence, stepwise improvement paths with different improvement effects should be provided to solve the problem of unachievable targets and flexibly meet decision-makers’ (DMs) diverse management needs in performance improvement. For this purpose, we propose novel stepwise DEA benchmarking approaches and a search algorithm to find progress-improvement strategies with different improvement effects. The contributions of our approaches are as follows. (1) Several stepwise improvement paths with different improvement effects are found, which provides DMs with more abundant alternatives for performance optimization in various management situations. (2) The upper bound for efforts in all intermediate improvement steps can be effectively controlled, which overcomes the problem of unachievable targets and makes stepwise improvement paths more feasible. To illustrate our approaches, we conducted a case study on 18 ports in China. In this case study of Chinese ports, we further highlighted the advantages of our methods by comparing them with existing DEA models. In sum, our approaches are suitable for poorly performing units that aspire to align performance improvements with management needs.

Combined effect of climate change and labor relation on optimally managing labor productivity under uncertainty

Heat stress amplified by climate change causes excessive reductions in labor capacity, work injuries, and socio-economic losses. Yet studies of corresponding impact assessments and adaptation developments are insufficient and incapable of effectively dealing with uncertain information. This gap is caused by the inability to resolve complex channels involving climate change, labor relations, and labor productivity. In this paper, an optimization-based productivity restoration modeling framework is developed to bridge the gap and support decision-makers in making informed adaptation plans. The framework integrates a multiple-climate-model ensemble, an empirical relationship between heat stress and labor capacity, and an inexact system costs model to investigate underlying uncertainties associated with climate and management systems. Optimal and reliable decision alternatives can be obtained by communicating uncertain information into the optimization processes and resolving multiple channels. Results show that the increased heat stress will lead to a potential reduction in labor productivity in China. By solving the objective function of the framework, total system costs to restore the reduction are estimated to be up to 248,700 million dollars under a Representative Concentration Pathway of 2.6 (RCP2.6) and 697,073 million dollars under RCP8.5 for standard employment, while less costs found for non-standard employment. However, non-standard employment tends to restore productivity reduction with the minimum system cost by implementing active measures rather than passive measures due to the low labor costs resulting from ambiguities among employment statuses. The situation could result in more heat-related work injuries because employers in non-standard employment can avoid the obligation of providing a safe working environment. Urgent actions are needed to uphold labor productivity with climate change, especially to ensure that employers from non-standard employment fulfill their statutory obligations.

Functionalized cellulose-based adhesive with epoxy groups having high humidity resistance performance

Sustainable and environment friendly natural-based adhesive has been considered as an optimum alternative of industrial adhesive which is non-renewable and harmful to health. Cellulose is the most abundant natural polymer in nature and has potential applications in the field of adhesives. However, the inherent hydrophilic nature of cellulose-based adhesive significantly challenges its use in high humidity environments. In this paper, a highly hydrophobic and anti-swelling cellulose-based adhesive was prepared by epoxy modification of microcrystalline cellulose (MCC). The simultaneous enhancement of adhesive and cohesive properties is achieved through the reaction of epoxy groups with the hydroxyl groups from the wood and adhesive during the hot-pressing process. Prepared adhesive has excellent properties in extremely humid environments. The dry bonding strength of the prepared adhesive reached 6.02 ± 0.26 MPa, while the wet bonding strength was 4.78 ± 0.21 MPa after immersed in water at 63 °C for 3 h. Furthermore, the bonding strength remained largely stable in 90 % atmospheric humidity. The adhesive has a certain universality, which can bond to substrates such as aluminium, iron, and glass. This study presents an innovative approach to the manufacturing of cellulose-based adhesive with enhanced bonding performance and exceptional water resistance.

Optimization of BIPV Utilization with Parametric Approach: Case Study on Nearly Zero Carbon Building Studio Design in Medan, Indonesia

Buildings significantly consume fossil energy, leading to substantial carbon emissions contributing to global warming and rising sea levels. These environmental impacts pose serious challenges, necessitating a shift towards sustainable building designs. By integrating clean energy solutions into building architecture, we can reduce the environmental burden of emissions. This approach mitigates adverse effects on living organisms and ecosystems and promotes long-term sustainability and resilience in urban development. Building-Integrated Photovoltaic (BIPV) systems represent one such approach for substituting fossil energy. However, implementing BIPV effectively necessitates comprehensive analysis considering numerous parameters and variables. This paper introduces building design strategies employing the BIPV approach. The decision-making process in designing alternatives utilizes parametric methods, recognized for their ability to yield optimization results for various variables through the development of design algorithms. The study focuses on the design of a studio building at the University of North Sumatra. Comparative analysis of the results obtained through parametric design aims to identify the most favorable design outcomes. The research includes developing a parameterized design algorithm, workflow, and assessment results for selecting optimal design alternatives. The results indicate that the placement of PV panels on the side area (PVOS) has more potential than placement on the top area (PVOT). Despite the PVOT area being observed to be 0.57% smaller than PVOS, PVOS shows a significant increase in total Incident Radiation (IR), average IR, and total Energy Generated by 137.14%, 128.40%, and 132.97%, respectively.

An insightful multicriteria model for the selection of drilling technique for heat extraction from geothermal reservoirs using a fuzzy-rough approach

Geothermal energy stands out as an exceptional renewable resource for power generation, offering a consistent power production without the intermittency issues. Despite its potential to deliver a consistent supply of electricity on demand, geothermal adoption is hindered due to substantial costs. Utilising the most effective drilling method can alleviate this challenge by boosting efficiency and reducing operational costs. The primary goal of this study is to identify the best drilling method for extracting heat from geothermal reservoirs. This optimised approach facilitates better access to geothermal reservoirs, leading to increased heat recovery rates and improved project viability. Traditional methods often fall short in evaluating optimal drilling alternatives due to uncertainties. To address this, our research introduces an innovative paradigm that integrates novel T-Spherical Hesitant Fuzzy Rough (T−SHFR) set, method for the removal effects of criteria with a geometric mean and ranking alternatives with weights of criterion hybrid Multiple Criteria Decision-Making (MCDM) techniques. By leveraging the novel T−SHFR concept, our approach allows for a comprehensive assessment of various factors. This holistic evaluation ensures an exhaustive comprehension of the decision-making environment. The study reveals that reservoir characteristics play a significant role in selecting a sustainable drilling alternative. Furthermore, directional drilling appears as the most promising method with higher energy yields followed by slim hole drilling. The robustness and credibility of these findings are established through sensitivity and comparative analyses, indicating the potential applicability of this MCDM method to analogous challenges in different contexts. The findings of the ranking techniques were validated using Spearman's rank correlation coefficient, which revealed a positive and notable correlation. This research will empower stakeholders to make informed decisions, thereby enhancing the overall efficiency and sustainability of geothermal energy projects.