Analytic Hierarchy Process Method Research Articles

Assessment of the readiness of the medical and preventive facility for actions in an extraordinary situation of a military character with combined radiation injury to the population

Background. In emergency situations of a military nature, medical institutions at all levels, especially specialized (radiological) medical facilities, are tasked with providing qualified assistance to the affected population. The effectiveness of these measures depends not only on the promptness, equipment, and training of operational teams but also on adherence to radiation safety standards, which differ from peacetime norms in terms of the scale of combined radiation injuries, injury criteria, and the methods of implementing measures. At the same time, against the backdrop of the multi-criteria uncertainty of possible radiological scenarios, there is no scientific justification for the necessary connections between the features of radiation safety and specific organizational and technical tasks within the system of overall readiness of medical institutions. Purpose – scientifically justify the potential readiness of a medical institution to act during a special period to provide qualified assistance to the population with combined radiation injuries, based on a systematic analysis of the features of the radiation safety system during military emergencies. Materials and Methods. In this paper, an attempt is made to assess the readiness of a medical and preventive institution to take action in emergency situations of a military nature by applying the method of analysis of hierarchies by T. Saati, adapted for the relevant tasks. Results. The conducted analysis of generalized weight coefficients and priorities in percentages (%) for each element of the hierarchical structure (Fig. 3) shows that more than 50% of «actions» are related to the effective provision of personnel safety and the effective delivery of medical care («Dia-1» and «Dia-2»). These components should receive key attention in the practical training of healthcare facility personnel and involved individuals through special training for emergency actions during special periods. Conclusions. This work attempts to assess the readiness of a medical institution to act in military emergencies by applying the Analytic Hierarchy Process (AHP) method by T. Saaty, adapted for the relevant tasks.

Settlement Suitability Analysis: The Case of Bursa City

Abstract: Nowadays, the existing built-up area texture in cities has started to shift towards areas that are not suitable for settlement. In this sense, settlement suitability analyses play a critical role in the realisation of sustainable development goals. Detailed analyses are required to formulate an effective settlement strategy in regions with large and diverse natural features such as Bursa. In this study, in order to determine the areas suitable for settlement in the study area, which covers the borders of Osmangazi, Nilüfer and Yıldırım districts, which are the central districts of Bursa city, a settlement suitability analysis was carried out with the Analytical Hierarchy Process (AHP) method using 9 parameters consisting of slope, elevation, lithology, land use, precipitation, temperature, distance to stream, distance to fault and erosion. The main underlying data used in the study are 10m resolution Digital Elevation Model (DEM), lithology, land use, erosion, precipitation, and temperature (WorldClim) data of Bursa city. As a result of the analysis, it was determined that 9% of the city is very suitable, 44% is less suitable and 47% is not suitable. The area where the city was established is in very suitable and moderate suitable class. It is observed that the settlements established in the study area, especially in the areas close to the fault line and the main river branch, are in the moderate suitability class. In addition, it has been determined that the erosion risk is in the low class, and the settlements far from the main river branch and fault line are in the very favourable class. While it is observed that Bursa city is located at appropriate values in terms of topography, it is seen that especially the southern part of the city is not sufficiently suitable in terms of distance to fault lines. The results obtained aim to contribute to sustainable settlement planning and to provide a guide for the methods and processes to be used in settlement suitability analysis.

Gradation optimization of AC-20 asphalt mixture based on the fuzzy analytic hierarchy process and comprehensive evaluation method

The aggregate gradation of asphalt mixture is one of the most important factors affecting the service life of asphalt pavement. In order to study the gradation of asphalt mixture with the best comprehensive performance, this study puts forward a new method of mineral aggregate gradation optimization based on the fuzzy analytic hierarchy process and comprehensive evaluation method, aiming at the multi-level and multi-index evaluation of the road performance of asphalt mixture. First, the orthogonal test design method is applied to design nine target gradations with coarse aggregate (>4.75 mm) and fine aggregate (<4.75 mm) of AC-20 (asphalt concrete) mixture serving as two factors and the upper, middle, and lower positions of the gradation curve as three levels, and then the road performance test research is carried out. Second, a comprehensive model for evaluation of road performance of mineral aggregate gradation is established. A fuzzy complementary judgment matrix is constructed, and the index weights of each level and the hierarchical total ranking weight are calculated. Then, the membership function is introduced into the comprehensive evaluation model for the road performance of mineral aggregate gradation, and the membership values of each index of asphalt mixture road performance are obtained. Finally, the fuzzy comprehensive evaluation method is used to find out the comprehensive evaluation value of the road performance of the nine graded asphalt mixtures, and the mineral aggregate gradation is optimized. The research results show that the 1# gradation of the asphalt mixture has the highest comprehensive road performance evaluation value, and the combination of the fuzzy hierarchical analysis process and comprehensive evaluation method can more objectively and comprehensively evaluate the comprehensive road performance of the asphalt mixture and provide a useful reference for the optimal selection of asphalt mixture mineral gradation.

A systematic risk assessment approach for urban roadside infrastructure assets

Revealing potential risks and the influence of these risks on urban roadside vulnerable/risky zones has been a great deal for the last decades owing to increasing vehicular mobility. This study aimed to develop a risk assessment methodology for urban roadside infrastructure assets. In this context, seven risk parameters that are likely to affect hazardous aboveground assets installed on urban roadsides were determined, and weights of each parameter (order of importance) were presented based on expert surveys and literature information using the Analytic Hierarchy Process (AHP) method. Mathematical models were set up for each risk parameter using real field data, The American Association of State Highway and Transportation Officials (AASHTO), literature, related standards, and expert surveys by linear, nonlinear, and binary logistic regression analyses. Risk groups were created, and precautions were offered. The efficiency of the models was verified based on the 28 accident records and field observations in 172 assets. When considering the assets that undergo traffic accidents, 71% of the total assets are ranked in the critical and high-risk group. This ratio is consistent with the risk group definitions assigned in this study; thus, the model proposed is accurate and can be applied reliably. The verification process of the total risk model was sufficiently successful to be used in practice and can be generalized by considering the road and traffic characteristics, infrastructure facilities, and future requirements of the regions or countries that reflect similar historical and cultural concerns. Practitioners, governmental institutes, and researchers can apply this methodology to provide their own data with high transparency and reliability.

Implementasi Metode AHP dalam Penentuan Penerimaan Bantuan Langsung Tunai (BLT) Berbasis Web

One of the government initiatives of the Sobawawi sub-district is Direct Cash Assistance, or BLT, which aims to lessen the financial strain on the population. Not everyone is eligible for direct cash assistance because it is meant to help low-income families fulfill their basic necessities. The government offers cash support to those who are considered impoverished through the Direct Cash support (BLT) program. This program is intended to help those who struggle to manage their financial situation. In order to help resolve and minimize errors when assessing who was eligible to receive BLT (Direct Cash Assistance) in the Sobawawi district, a decision support system was developed in response to the issues that arose throughout the selection process. The goal of this system is to support decision-making processes that employ the Analytical Hierarchy Process (AHP) technique. The results of both system and manual computations demonstrate how the decision-making system uses the AHP method's notion to determine. Based on the method employed, the system delivers findings that are legitimate and accurate. Ultimately, alternate priority weights based on ranking are determined.

Determining the best alternative to build and operate a new coal crushing facilities: Analytical hierarchy process approach

Purpose: This study examines the increase in national coal production in Indonesia and its impact on PT. KLM is one of the largest coal producers in the country. With rising production and shifting global market needs, this study aims to analyze the necessity of building a new Coal Crushing Facility next to the South Pinang Extension #2 area, including evaluating costs and the best strategies for its implementation. Methods: The research methodology involves analyzing problem trees and stakeholders to uncover business complexities and identify the root causes of issues. Qualitative data were collected using semi-structured interviews. All alternatives were evaluated using Value-Focused Thinking (VFT), and the Analytic Hierarchy Process (AHP) method was employed to determine the best alternative assisted by the Super Decision application. Results: Based on interviews conducted with subject matter experts (SMEs) and the analysis, three funding solutions were identified: 1. owned by self-financing, and 2. Own by Leasing 3. Rental Scheme. Limitations: The limitations of this study are that it was sourced from an internal company and gathered from outside the company. An alternative option was produced based on extensive collaborative discussions and interview sessions conducted with subject matter experts within the company. Contributions: This study provides valuable guidelines for selecting alternative financing to build and operate new coal crushing facilities at South Pinang Extension #2.

A Delphi study to build consensus on strategies for adult vocational training of higher education institutes in Guangxi Zhuang Autonomous Region China

Adult vocational training of higher education institutes has great potential to help workforce coping with uncertainties of the fast-changing Labor market in the era of Industrial Revolution 4.0. However, the lack of clarity regarding strategies for effectively establishing adult vocational training in higher education institutes may hinder progress. The aim of this study was to develop agreed strategies of adult vocational training for higher education institutes in Guangxi Zhuang Autonomous Region, China. The 3-round Delphi method used semi-structured interviews and questionnaires to explore and reach an agreement on the future direction of the strategies. The semi-structured interview was used in the first round to explore the ideas in relation to such strategies. the questionnaires were used in the second and the third rounds to explore further and reach the consensus on expert opinions defined at interquartile range (IQR) ≤ 1. Besides that, Analytic Hierarchy Process (AHP) methods were used to calculate the weights of each consented statements. Through Delphi method, the comprehensive strategies have been articulated with the highlights of 1 vision, 6 goals and 40 actionable strategies. furthermore, the experts commonly highlighted that the vision of future adult vocational training shall prioritizes cultivating skilled professionals with industrial needs, offering everyone accessible opportunities for career development. Besides that, the result also showed that reskilling and upskilling and extending the leaners’ interpersonal networks have been ranked as the two most important goals for future adult vocational training in higher education institutes.

Spatio-Temporal Monitoring and Risk Mapping of Glacial Lake Outburst Flood in Hunza Valley, Pakistan

Glacial lake outburst flood (GLOF) disasters are serious and potentially increase huge risks to livelihoods and infrastructure in the mountain regions of the world. The northern highland regions of Pakistan are home to some of the biggest alpine glaciers. In this investigation, the Hunza Valley of Pakistan has undergone remote sensing-based risk assessment for Glacial Lake Outburst Floods. Borith and Passu Lakes were chosen to identify flood risk in the downstream areas. For such, Landsat images were used from 1990-2020. Different spectral indices such as the Normalized Difference Snow Index (NDSI), Normalized Difference Glacier Index (NDGI) and Normalized Difference Water Index (NDWI) were applied to evaluate snow cover changes. Furthermore, these Lakes were digitized to evaluate and check the total increase in Lake Areas. Also, built-up areas close to lakes were digitized to identify total risk. The Land Surface Temperature (LST), NDSI, NDGI, NDWI, Digital Elevation Model (DEM) and Slope variables were given weights using the Analytic Hierarchy Process (AHP) method. In the analysis of flood risk mapping, maximum weight was assigned to Land Surface Temperature, and minimum weight was assigned to the slope. The result revealed that the settlements located in the Ghulkin, Gulmit, Husseini, Passu, Zarabad, and Khorramabad are at moderate risk while settlements located near Hunza River such as Karimabad, Khanna Abad, and Aliabad are at high risk. The outcome also showed that Borith Lake's area expanded, going from 0.059 km2 in 1985 to 0.074 km2 in 2020 and Passu Lake's area also grew, going from 0.074 km2 in 2005 to 0.077 km2 in 2020. In last, Buffer analysis was performed to identify areas that are likely to be affected by the flood. The result of the study can help carry out a downstream risk assessment and better preparedness for future flood hazards.

Evaluation of silk industrial heritage value based on IAHP, D-S theory and mixed decision model: the case of Hangzhou-Jiaxing-Huzhou in China

ABSTRACT A comprehensive understanding of the diverse value of industrial heritage is a prerequisite for preservation and reuse. After studying the composition and evaluation methods of the value of world cultural heritage, this paper puts forward a mixed decision model based on the combination of interval analytic hierarchy process, expert clustering ranking weighting method, fuzzy set and D-S theory. Firstly, an evaluation system that can describe the value of modern silk industry heritage in Hangzhou-Jiaxing-Huzhou area is established, which reflects comprehensiveness and particularity. Then, the interval analytic hierarchy process and expert clustering ranking method are proposed to calculate the weight of various indicators in the evaluation system, which can effectively reduce the influence of subjective experience and extreme experts on group decision-making. In addition, the fuzzy set theory and D-S theory are used to calculate the protection grades of several modern silk industrial heritages, and compared with the actual protection grades recognized by the state, which verifies the scientificity and effectiveness of the mixed decision-making model. Finally, the results show that the mixed decision model can accurately calculate the protection level consistent with the reality, demonstrating high feasibility and providing new ideas for the future evaluation of industrial heritage values.

Perancangan Sistem Pendukung Keputusan Pemilihan Supplier dengan Metode Analytical Hierarchy Process (AHP) Pada CV. Safina Abadi

The contractor industry, including CV Safina Abadi, has a significant need for selecting the right suppliers to ensure smooth project execution. Optimal supplier selection can affect various critical aspects of a construction project, such as product quality, availability, competitive pricing, service, and reputation. However, due to the numerous supplier options available, companies often face difficulties in evaluating and choosing the most suitable supplier based on their needs and criteria. Therefore, utilizing a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method presents an effective solution to assist companies in the supplier selection process. By employing AHP, companies can model a hierarchy of selection criteria, from main criteria down to more detailed sub-criteria. AHP further enables companies to measure and compare the relative weights of each criterion and sub-criterion, providing recommendations for the most optimal supplier based on the company's preferences and requirements. This research aims to design and implement a Decision Support System using the AHP method to assist in supplier selection for CV Safina Abadi. It is hoped that this study will contribute to improving the efficiency and effectiveness of supplier selection, thereby enhancing overall project performance in the construction industry.

Analysis and evaluation of factors affecting the motivation of construction workers

The characteristics of the construction works are the participation of many fields and many jobs with different requirements. Therefore, in construction projects, even when applying science, technology and automation, the construction workers also play an important role. The construction workers are the main force and directly perform the tasks of creating construction products. For desiring to improve the labor productivity in the construction industry, research on the construction workers is focused increasingly. This paper learns about the factors which affect the motivation of the construction workers. Analytical Hierarchy Process (AHP) method is used to analyze and evaluate the affecting factors the work motivation of the construction workers. The ranking results of the factors show that the factors which are from the employer, have a strong impact on their work motivation. These factors are such as salary, bonus and welfare, labor management method, work discipline, regular job guarantee. They are factors with high weight and making decisive to the work motivation of the construction workers. Meanwhile, factors which are from employees, have less impact on their work motivation. This result is consistent with current reality.

Research on Multi-Parameter Optimization of Conical Roller Line Processing Technology Based on Satisfaction Function

In the process of conical roller line processing, there will be problems such as low precision of processing parameters, long processing time, low utilization rate of machine tools, high rejection rate, and high processing cost, which will lead to low production efficiency. In order to solve this problem, it is necessary to iteratively optimize the size parameters, including inner diameter, ovality, and taper. By obtaining the optimal parameter combination, the size parameters in the production process are kept consistent, that is, the accuracy and performance of the workpiece during the processing are guaranteed so as to avoid the problem of quality difference, improve the production efficiency and reduce the processing cost. In view of the fact that there are often some constraints on the accuracy and efficiency in the machining process of tapered roller lines, how to optimize the parameters affecting the accuracy and the parameters affecting the efficiency to achieve balance between accuracy and efficiency in order to better meet the needs of customers for multi-objective optimization of the machining process has become the focus of research. Based on the existing research, this paper explores the multi-parameter optimization modeling and application in the machining process of tapered roller lines by constructing a satisfaction function, and then uses a genetic algorithm to iteratively search for the optimal solution by simulating natural selection and the genetic mechanism. Based on Python software v3.12, the production process of tapered roller bearings is simulated. The AHP analytic hierarchy process and CRITIC weight method are used to redistribute the parameter weights respectively. After eight iterations, it is concluded that the weight value assigned by the AHP analytic hierarchy process makes the satisfaction function value reach the best value of 0.99795 and tend to converge stably. The optimized parameter configuration significantly improves the machining accuracy and production efficiency of the tapered roller line. The optimal parameter combination is obtained: inner diameter: 9.9982 mm, ovality: 0.7 mm, taper: 0.5 degrees, production efficiency: 101.0.97 piece/h. In order to verify the optimization effect, the single value (X) and moving extreme difference (Rs) control charts in the measurement value control chart are used to analyze and verify the tolerance values of important parameters in the processing technology of the tapered roller line. The results show that the data points are all within the control limit, indicating that the processing process is in a statistical control state.

Analysis of solution strategies for the transition to renewable energy in Saudi Arabia

The shift from fossil fuels to low-carbon energy solutions is crucial to mitigate the effects of climate change. The Kingdom of Saudi Arabia (KSA) has formulated a policy framework to accelerate the development of renewable energy (RE) as part of Vision 2030. Therefore, the transition to RE is vital for reducing dependence on fossil fuels and mitigating climate change. Nevertheless, critical barriers hinder RE adoption in the KSA. This study identified several main barriers, sub-barriers, and solution strategies for the analysis. Therefore, the fuzzy Analytical Hierarchy Process (AHP) method was incorporated to evaluate seven barriers and twenty-eight sub-barriers. Later, the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used to prioritize the nine solution strategies for adopting RE technologies in the KSA. The fuzzy AHP results emphasize that technological, environmental, and market barriers obstruct RE adoption. Fuzzy TOPSIS indicates that public awareness campaigns, energy subsidy reforms, and modernization of the energy grid are the most suitable solutions for the adoption of RE technologies in the KSA. Consequently, this research will help governments, stakeholders, and policymakers expedite RE adoption by determining these barriers and strategies to achieve the Saudi Vision 2030 goal.

ANALISIS KINERJA RANTAI PASOK PADA PROSES SOURCE, TRANSFORM, DAN FULFILL DENGAN METODE SCOR DAN AHP PADA TELKOM WITEL BANDUNG

Telkom Witel Bandung is a telecommunications and networking service provider serving the Telkom Bandung area. The company has experienced staff reductions and organizational changes following the transformation to B2B services, which have impacted the execution of High Speed Internet (HSI) projects. Performance measurement of the supply chain was conducted using the Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process (AHP) methods. The evaluation focused on three core processes: source, transform, and fulfill. Performance indicators were derived from KPI validation by employees and managers at Telkom Witel Bandung, resulting in 26 selected indicators with attributes including reliability, responsiveness, agility, cost, profit, and environmental. Indicator weighting was performed using AHP with Expert Choice 11. Analysis of normalized actual data revealed that five indicators with scores below 90 (Excellent) require improvement. The total performance score of 117.461 indicates that Telkom Witel Bandung’s performance is classified as very good.

Wakatobi Development Priorities as A Sustainable Tourism Destination Using the Analytical Hierarchy Process Method

Wakatobi is one of the tourist destinations renowned for its underwater beauty, holding great potential to be developed as a sustainable tourism destination. This research aims to determine the priorities for sustainable tourism development in Wakatobi using the Analytical Hierarchy Process (AHP) method. The AHP method is employed to identify and prioritize various criteria and sub-criteria contributing to sustainable tourism development. Based on the research findings, infrastructure and facilities were found to be the highest priorities, with a focus on improving transportation infrastructure and public facilities. These findings indicate that the development of transportation infrastructure and public facilities is crucial to support the sustainability of tourism in Wakatobi.

ASSESSMENT OF CURRENT AND FUTURE LAND DEGRADATION UNDER CLIMATE CHANGE IN THE UPSTREAM OUERGHA WATERSHED (MOROCCO) USING GIS AND AHP METHOD

Land degradation is a worldwide phenomenon that negatively affects the topsoil of agricultural land. The Mediterranean region is the hardest hit by this phenomenon, which is set to increase due to climate change. This study aims to assess the susceptibility of land to degradation under climate change, based on the calculation of the Land Degradation Sensitivity Index (LDI) in the upstream Ouergha catchment in in Northern Morocco (Southern Mediterranean), using Geographic Information Systems (GIS) and the Analytic hierarchy process (AHP) multi-criteria decision analysis (MCDM) method. In this study, 4 main criteria (climate, vegetation, soil and human environment) divided into 15 sub-criteria were used to assess soil sensitivity to degradation. The weight of each criterion was assigned using the AHP method. The degree of soil degradation was classified on a map based on four categories (low, moderate, high and critical). About 14.9% of land is not very sensitive to degradation, while 37.2% of land is highly sensitive to degradation. Vegetation and climate were identified as the main drivers of land degradation (37% and 28% respectively). climate scenarios indicate a significant drop in precipitation (around 10% for RCP 4.5 and 20% for RCP 8.5 scenarios by 2050), which accelerates soil degradation. The result represents a planning tool that can help decision-makers to take the necessary measures to ensure sustainable soil management in the face of climate change.

STRATEGI PENINGKATAN KETAATAN PELAKU USAHA UDANG VANAME (Litopenaeus Vannamei) BERBASIS RISIKO SEKTOR KELAUTAN DAN PERIKANAN STUDI KASUS DI KABUPATEN PANDEGLANG, BANTEN

The purpose of this study was to determine the level of obedience of vannamei shrimp growers in Pandeglang Regency, Banten. The aim is to increase the compliance of vannamei shrimp businesses with applicable laws and regulations. Data analysis, to determine the level of obedience of aquaculture business actors, is carried out descriptive analysis, as well as to develop strategies to increase the compliance of aquaculture business actors with applicable laws and regulations, carried out using the AHP (Analytical Hierarchy Process) method using 3 (three) people experts from regulators, academics, law enforcement. The results of the study, the level of compliance of vannamei shrimp enlargement business actors in fulfilling licensing documents for aquaculture business actors, there are 9 (nine) business actors who have met the standard, 6 (six) business actors still need improvement, especially in fulfilling the compliance CBIB technical requirements. The most important strategic priority in increasing the obedience of business actors is to increase the number of Fisheries Supervision Personnel 0.4210, simplify the bureaucracy 0.2927, Assistance by Fisheries Extension 0.2862.

Analysis of Vendor Selection for Cash Recycle Machine using the Analytical Hierarchy Process Method at PT.X

Selecting the right vendor for the Cash Recycle Machine (CRM) is a key factor for the sustainability of PT X in the banking business, as most banking tasks are carried out by vendors. Therefore, the vendor selection process is one of the main and crucial processes. This research aims to determine the weight of criteria, and sub-criteria, and analyze the best vendor selection for the Cash Recycle Machine Implementation Project at PT X using the Analytical Hierarchy Process (AHP) method. The number of respondents in this study was eight, consisting of the Project Director, Project Manager, and Division Heads who are the decision-makers in vendor selection. The research was conducted through structured interviews using Saaty’s scale comparison questionnaires for criteria selection and rating scale assessment for vendor evaluation. The criteria evaluated based on the Vendor Performance Indicator (VPI) are Quality, Cost, Delivery, Flexibility, and Responsiveness, with the most influential sub-criteria being Price Reduction, Product Reliability, and Demand Adjustment. The selected vendor for the Cash Recycle Machine implementation project is PT ZZZ with a score of 40% out of 100%, followed by PT YYY with a score of 32%, and PT XXX with a score of 28%.

Identifying potential artificial recharge zone in an arid craton

Identifying sustainable artificial recharge zones in arid cratons is challenging due to complex geology and limited natural recharge conditions, making accurate site selection and management difficult. This study integrates Vertical Electrical Sounding (VES), the Analytic Hierarchy Process (AHP), and Boolean analysis to identify sustainable artificial recharge zones in the arid Bundelkhand craton of India. Aquifer thickness and fractures emerged as critical determinants of groundwater recharge conditions, revealing varying degrees of suitability for recharge across the study area. Approximately 2.31% (13.36 km2) of the area along streams exhibited "very high" suitability, while 8.09% (45.82 km2) had "high" suitability. “Moderate" suitability covered 17.86% (101.66 km2), "low" suitability accounted for 38.85% (218.39 km2), and "very low" suitability represented 17.35% (98.75 km2) of the area. Recharge potential was highest in the northeast and central parts, with the middle of the watershed exhibiting the lowest potential. The study demonstrated that this integrated approach significantly improved precision from 71.40% to 85.70% and enhanced the F1 score from 0.833 to 0.923, surpassing the performance of the AHP method alone. The findings highlighted the importance of strategic selection and targeting of specific locations for artificial recharge, as only ∼18% of the study area was suitable for such efforts, despite ∼43% showing potential for groundwater. AHP with VES proves more precise and reliable than Fuzzy-AHP with VES, with AHP's conservative approach classifying 55.70% of the area as very low to low suitability compared to Fuzzy-AHP's 41.92%, ensuring only the most suitable sites are selected. VES offers cost-effectiveness, noninvasiveness, and rapid generation of a 1D subsurface model, balancing its lower detail compared to Electrical Resistivity Tomography. When combined with the AHP, VES enhances adaptability to changing conditions, emphasizing ecological preservation and climate change resilience. This approach effectively addresses water challenges in arid regions, contributing to sustainable water resource management.

Criteria determination for selecting a projects management information system

The object of research is the process of selecting a project management information system. When selecting a PMIS for the customer organization, there is a need for a specific methodology to formalize the selection stages. The main existing selection methods and their criteria do not provide sufficient and objective information for selecting a PMIS. This research aims to develop a model and method based on it to systematize this process and ensure an objective and rational choice of PMIS, which in turn enhances the productivity and quality of project management. The method of analytic hierarchy process and a developed model are chosen as the basis for developing the method for selecting PMIS. The developed method consists of five stages: determining the basic assessments of PMIS criteria and their weights using experts; determining the assessment of PMIS sub-criteria; determining the global weight of the criteria; evaluating alternatives for each sub-criterion; and selecting the best alternative. An experimental verification of the developed model and method was conducted by creating a web application for data collection and processing within the considered stages. Python and specific libraries that enable the integration of the developed model and method into the company's website were used to develop the information technology. The obtained results demonstrate the feasibility of the chosen criteria in evaluating alternative PMIS by the customer using the formed model and method.