Analytic Hierarchy Process Method Research Articles

Cloud Model-Based Intelligent Construction Management Level Assessment of Prefabricated Building Projects

Intelligent construction is vital for achieving new building industrialization by enhancing prefabricated buildings through integrated, digital, and intelligent management across production and construction processes. Despite its significance, detailed research on evaluating the intelligent construction management (ICM) level of prefabricated projects remains limited. This study aims to develop a comprehensive, multi-level, multi-dimensional ICM assessment system. By reviewing the literature, engaging in expert discussions, and conducting case studies—specifically using a project in Guangzhou as an example—this study employs the Analytic Hierarchy Process (AHP) and entropy weight methods to assign indicator weights. Utilizing cloud model theory, it establishes evaluation standards for intelligent construction management. This model identifies the project’s ICM level, suggests practical improvement methods, and validates its applicability. This work not only advances theoretical understanding but also provides a practical framework for assessing ICM levels in prefabricated projects, thus contributing significantly to the field by offering new research perspectives and empirical evidence.

ANALYSIS OF ECOTOURISM AND DISASTER MITIGATION DATA AT THE KUALA LANGSA MANGROVE FOREST BY USING THE ANALYTIC HIERARCHY PROCESS

The problem in the management of a public area is to determine aspects that contribute most as its best practices. This paper explores the contributions of the Kuala Langsa Mangrove Forest located in Langsa City, Aceh Province, for ecotourism and disaster mitigation. This research was intended to analyze the aspects of forest management that has successfully reformed dry coast into an ecotourism site. The Analytic Hierarchy Process (AHP) as a multicriteria decision making method was used to analyze the best indicators data. This method was selected as the suitable method since it utilizes the objectivity of mathematics in comparing some subjective criteria to obtain the best indicators. The implementation of the AHP method consists of three stages: the development of the criteria’s hierarchy table; the development of pairwise matrix related to the intention of giving weights for the criterion’s elements; the logical concistency verification of the matrix. Indicators were written on a five point scale related to a value judgement. The results of the research show that as an ecotourism site, the activities of the mangrove forest are motivated and based on the existing rules which attract people to become interested. The role of the local government has resulted: developed the programs according to the existing mangrove management law that reached 67% among other law related indicators; budget allocation priority by self-generating which get priority of 59% among budget indicators; oriented on the increasing of fishermen, obtained 49% of economical function elements; encouraged the involvement and partnership of the local resources around the mangrove forest which reached 31% among other programs offered and sustainability approach by considering ecological functions aspect. For physical contribution for disaster mitigation, the largest dissipation is given by Rhizophora mucronata due to its height compared to the other types.

Strategic Evaluation of Whistleblower Software Security in Government: ISO/IEC 25010 and AHP Method

To assess the effectiveness of software security measures in government whistleblower systems, we will utilize the ISO/IEC 25010 standard and the Analytic Hierarchy Process (AHP) methodology. Through the integration of various frameworks, our objective is to build a complete evaluation model that effectively identifies and enhances any vulnerabilities in these crucial systems. The strategy we employ combines the qualitative and quantitative evaluation capabilities of ISO/IEC 25010 and AHP, respectively, to offer a comprehensive perspective on software security performance. The results indicate substantial improvements in the security and reliability of whistleblower software, underscoring the effectiveness of our suggested evaluation technique in identifying crucial areas for refinement. Moreover, the utilization of AHP permitted the ranking of security qualities, guaranteeing focused and efficient improvements. Ultimately, the study emphasizes the significance of thorough security assessments for government whistleblower systems and verifies the effectiveness of utilizing ISO/IEC 25010 and AHP as a methodical approach to improve software security. This research enhances the ongoing endeavor to protect confidential data, fostering a more secure and reliable atmosphere for individuals who expose wrongdoing.

ANALYSIS OF POST-DISASTER CITY STRUCTURE CHANGES IN INDONESIA: STUDY CASE MATARAM CITY OF LOMBOK (NTB)

Purpose: Research has been carried out on identifying the risk of earthquake disasters in the West Nusa Tenggara. Methodology: Region based on 3 factors: the earthquake hazard factor, namely the maximum acceleration of ground vibrations (Peak Ground Acceleration = PGA), the vulnerability factor, namely the population density of the sub-district, and the resilience factor, namely the HDI (Human Development Index) of the sub-district. in West Nusa Tenggara Province. The PGA value was calculated using the Fukushima and Tanaka attenuation function with earthquake parameter data from 1970 – 2014 with criteria of magnitude ≥ 4.5mB, depth ≤ 60 km and epicenter in the range 7.5O – 12.5O LS and 115O-120O BT, while calculating the earthquake disaster risk index uses the AHP (Analytical Hierarchy Process) method. Results and Conclusion: From the calculation results, it was found that the areas with the highest level of earthquake disaster risk were the southern part of Dompu Regency, Mataram City, Bima City, northern Bima Regency, while the lowest were West Sumbawa Regency and southern Sumbawa Regency.

Determining Potential Groundwater Recharge Zones in the North Gujarat Region of Gujarat State Using Techniques of Geoinformatics and Multi-Criteria Decision Analysis

The rapid increase in population and industrialization has significantly raised the consumption of groundwater resources for domestic, agricultural, and industrial purposes. This study aims to develop groundwater recharge potential zone maps to assist in the construction of artificial recharge structures in the North Gujarat Region of Gujarat, India. An integrated approach of remote sensing (RS), geographical information system (GIS), and multi-criteria decision analysis (MCDA) were used to achieve this goal. Influencing factors of groundwater availability included geology, soil, lineament density, slope, rainfall, land use/land cover, geomorphology, and drainage density, were analyzed to delineate potential groundwater recharge zones. each influencing parameter was determined by using Saaty's Analytic Hierarchy Process (AHP) method, and sub-parameters were ranked according to the AHP scale. A weighted overlay analysis tool in ArcGIS software was employed to map the groundwater recharge potential zones in the North Gujarat region. The classified results of the recharge potential area in the study area consist of excellent (9.93%), good (27.90%), moderate (17.58%), poor (3.92%), and very poor (0.92%) These findings provide valuable insights for effectively planning and managing groundwater resource development in the region.

Real-time risk assessment of distribution systems based on Unscented Kalman Filter

The continuous growth of renewable energy and the load level has posed increasingly severe operational risks to distribution systems. In view of this, this paper combines state estimation with risk assessment, and uses the results of distribution system state estimation based on Unscented Kalman Filter as the input of risk assessment. With the combination, the sampling based on probability distributions in traditional risk assessment methods is no longer needed, thus avoiding the difficulty of updating probability distributions timely according to the latest information in real-time operation. By applying the proposed risk assessment method, the real-time assessment of operational risks in perspectives of bus voltage, branch power, and renewable energy utilization is achieved. Meanwhile, the weight of each risk index is properly determined according to both subjective and objective knowledge by using Analytic Hierarchy Process method and entropy weight method. Case studies show that the proposed method achieves effective assessment of comprehensive risks in the operation of distribution system.

Deriving Priorities: Analytical Hierarchy Process (AHP) Approach (Case Study Of Traditional Gedogan Weaving Craft Products, Ranggo Village, Dompu, West Nusa Tenggara)

The objective of this study is to use the Analytical Hierarchy Process (AHP) method to prioritize alternative marketing strategies for traditional weaving handicrafts in Ranggo Village, Dompu, West Nusa Tenggara. The data for this study came from the questionnaire that traditional weaving craft business owners received. AHP ranks five criteria according to their weight: product, price, promotion, market segmentation, and market position. The study's findings show that the product has the most weight (1.98), followed by the price (1.49), market segmentation (0.99), promotion (0.71), and market position (0.41). In general, the research indicates that the marketing strategy of Gedogan's traditional weaving craft products is characterized by the following priority orders and critical components: product quality, price, market segmentation, promotion, and market position.

Flood vulnerability map of the Bagmati River basin, Nepal: a comparative approach of the analytical hierarchy process and frequency ratio model

AbstractThe analytical hierarchy process (AHP) and frequency ratio model (FR), along with the integration of GIS, have proven to be successful approaches for assessing flood-prone areas. However, in Nepal flood vulnerability mapping based on GIS decision analysis is limited. Thus, this study focused on comparing the data-driven FR method and expert knowledge-based AHP technique in a GIS environment to prepare a flood vulnerability map for the Bagmati River basin, helping to explore the gap in flood vulnerability mapping methodologies and approaches. By combining all class-weighted contributing factors, like elevation, precipitation, flow accumulation, drainage density, soil, distance from the river, land use land cover, normalized difference vegetative index, slope and topographic wetness index, the study evaluated the efficiency of FR and AHP in assessing flood vulnerability maps. An inventory map of floods containing 107 flood points was created. Subsequently, the flood vulnerability maps generated using FR and AHP models revealed that 9.30% and 11.36% of regions were in highly vulnerable areas, respectively. Receiver operating characteristics validated the model outcomes, indicating that the FR model’s accuracy of 91% outperformed the AHP model’s 84% accuracy. The study findings will assist decision-makers in enacting sustainable management techniques to reduce future damage in the Bagmati basin.

Analysis of the Choice of Transportation Modes from Lhokseumawe City to Medan City Using the Analytical Hierarchy Process Method

Interprovincial movement activities from the city of Lhokseumawe to the city of Medan is a busy travel route because land routes connect many cities. Minibusses and buses serve transportation needs across these cities. Travelers tend to choose minibusses because of their convenience, fast travel time, and the excellent level of comfort provided. The bus mode also offers smooth and comfortable travel, making it a popular choice among travelers on the Lhokseumawe to Medan route. This research aims to determine the characteristics and percentage of transportation mode choices by travelers. The approach used is the analytical hierarchy process method. The results of the analysis showed that the percentage of travelers interested in choosing a particular mode resulted in 42% of passengers choosing the Hiace Minibus, 24% choosing the Sempati Star Bus, 20% choosing the Putra Pelangi Bus, and 14% choosing the Kurnia Bus. The criteria that influence the choice of transportation mode are convenience with a percentage of 22%, time with a percentage of 19%, comfort with a percentage of 16%, cost with a percentage of 15%, headway and safety with a percentage of 14%.

Enhancing older care services: a comprehensive internet + community home indicator system

ObjectiveConstructing a demand-oriented Internet + community home care service indicator system, starting from the actual needs of the elderly, and quantifying the demand into specific service contents that can be provided, so as to realize the effective supply of services. It aims to provide a theoretical basis for the government to formulate relevant aging policies and provide a reference basis for promoting the innovation and development of the Internet + elderly care model.MethodsBased on existence needs, relationship needs and growth needs abbreviated as “Existence, Relatedness, Growth (ERG)” demand theory, through the discussion in the group meeting, form the expert consultation questionnaire of the demand-oriented Internet + community home care service indicator system, select experts in related fields to conduct two rounds of Delphi expert consultation, summarize the experts’ opinions to determine the indicator system items, and use the Analytic Hierarchy Process (AHP) method to construct the judgment matrix to derive the weighting coefficients of the indicators, and establish the ultimate demand-oriented Internet + community home care service indicator system.ResultsThe effective recovery rates for the two rounds of expert consoulation questionnaires were 100%, with expert authority coefficients of 0.852 and 0.868, respectively. The Kendall coefficients for the second round of expert views varied from 0.226 to 0.431, with coefficients of variation for all indexes less than 0.25.The finalized demand-oriented Internet + community home care service indicator system includes 3 first-level indicators, 10 s-level indicators, and 46 third-level indicators. The consistency ratios of indicator judgment matrices at all levels are less than 0.10, suggesting that the hierarchical analysis findings are consistent, implying that the weight coefficient distribution is appropriate.ConclusionThe demand-oriented Internet + community home care service Indicator System, which was created through expert consultation and AHP method, has reasonable content and is more dependable as an evaluation tool for reliably assessing demand for elderly servic.

Optimal Configuration of Modular Strongrooms Using Multi-Attribute Decision Making

In this paper, we show that it is possible to obtain an optimal configuration variant of Modular Strongrooms (MSR) that satisfies the individual requirements of customers and is most economically advantageous for manufacturers. A model of the automatic configuration system for configuring MSR type MODULPRIM was developed, integrating the procedures for generating product variants, choosing the optimal configuration, and designing detailed products and technological processes. The developed model’s importance lies in its ability to automatically select the optimal configuration from a set of possible configurations on a multidisciplinary basis. The problem of choosing was solved by integrating the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods from the group of Multi-Attribute Decision Making (MADM). Validation of the proposed model was performed on eight examples of Modular Strongrooms type MODULPRIM 5 and showed great opportunities to improve efficiency and effectiveness in the process of innovative product development, as well as to obtain a product configuration with significantly improved quality. The proposed model has a high degree of flexibility and universality; thus, it can be further upgraded and integrated into a company’s business system.

Model for Optimizing Human Resources Performance in the Banking: Analytical Hierarchy Process Method

Human resources are one of the factors that greatly influence a company's success, for this reason this research was conducted, namely building a model for measuring human resources in the banking sector. This research uses a qualitative method with random judgment sampling, namely selecting samples with criteria that are appropriate to the banking sector, data processing methods using the Analytical Hierarchy Process, namely looking for weights and rankings of criteria and sub-criteria, from this research four main criteria and twelve sub-criteria, and the sub-criterion with the highest weight is the Training Instruction sub-criterion 0.395, while the lowest weight sub-criteria is People Orientation with a value of 0.247. By creating this model, it is hoped that banks can fulfil decent work and increase economic growth.

Assessment of mangrove health based on pressure–state–response framework in Guangxi Beibu Gulf, China

Mangroves, primarily found along tropical and subtropical coastlines, are crucial ecosystems that offer significant ecological services, including coastal protection, carbon sequestration, and biodiversity support. However, these ecosystems are under severe threat from human activities such as aquaculture, agriculture, and urban development, leading to deforestation and degradation. This study aims to develop a comprehensive framework for assessing the health of mangrove ecosystems using the Pressure-State-Response (PSR) model with annual temporal resolution from 2019 to 2023. It consists of three dimensions: Pressure (human activities and natural factors affecting the ecosystem), State (current condition of the ecosystem), and Response (efforts to mitigate adverse effects and restore health). This study incorporates innovative physical and structural parameters alongside traditional indicators to improve the accuracy of the assessment. The method offers advantages such as ease of measurement, low cost, early warning capabilities for ecosystem damage, and high sensitivity to ecological changes. It provides valuable insights for decision-makers and enhances the ability to detect trends in mangrove health over time through a large-scale, multi-temporal analysis. Using remote sensing techniques and the Analytic Hierarchy Process (AHP), we identified 12 key indicators. The AHP method was used to determine the weight of each indicator, achieving a consistency ratio (CR) of less than 0.1, which ensures the reliability of the assessment. The evaluation included calculating and analysing the Comprehensive Health Index (CHI), Pressure (PHI), State (SHI), and Response (RHI) health indices. Results indicated that the mangrove ecosystems in the Beibu Gulf region were “healthy” state by 2019 through 2022. However, in 2023, the health status declined to “relatively healthy,” indicating a downward trend. In conclusion, this study presents a robust framework for assessing mangrove ecosystem health using the PSR model. The findings underscore the urgent need for conservation efforts to reverse the declining health trend and ensure the long-term sustainability of mangrove ecosystems in the Beibu Gulf.

Multi-criteria site selection for wastewater treatment plant in Bent Saidane, Tunisia

Optimal site selection for the establishment of a municipal waste-water-treatment plant (WWTP) is an amazingly complex task that involves several factors such as regulations, as well as environmental, economic and social considerations. This paper presents the criteria and applied methods (geographic information system (GIS)/fuzzy analytical hierarchy process (AHP)) used in the screening of potential sites for the WWTP of the Bent Saidane rural locality (northern Tunisia). For this reason, nine factors accompanied by three sets of site selection criteria were used. GIS-based multi-criteria analysis techniques based on the standardised fuzzy logic concept and weighted overlay were applied for generation of all maps in the Universal Transverse Mercator coordinate system. Multiscale evaluations based on the weighted linear combination method were also assessed. The study indicated that 0.14 and 0.11% of the total area of the Bent Saidane locality were found to be highly suitable and very highly suitable, respectively. According to these results, the GIS followed by the fuzzy AHP method could pinpoint the optimal sites selected as the most suitable, due to their minimum impact on the environment, as well as on public health, for the construction of a future WWTP in the Bent Saidane rural area.

Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems

The Analytic Hierarchy Process (AHP) is a widely used method for multi-criteria decision-making that hinges on the assumption of consistency in pairwise comparisons. However, in real-world scenarios, decision-makers often struggle to provide fully consistent judgments. This article introduces a decision-making framework that operates independently of consistency. Utilizing the Skew-Symmetric Bilinear representation of preferences allows decision-makers to more accurately evaluate alternatives and criteria, making this framework more applicable in practical settings. The proposed method is validated through practical examples and an in-depth case study in the textile industry, effectively resolving a complex decision-making problem related to acquiring a data analytics tool for supplier selection. The results underscore the robustness and adaptability of this consistency-independent technique as a flexible alternative to traditional AHP methods.

Analysis of apple chips business development strategies using business model canvas approach and SOAR-AHP method

The study focuses on SMEs X, a producer of various processed fruit products, primarily apple chips. The business experienced a 90% decline in revenue due to an 8-month market closure during the Covid-19 pandemic, with ongoing challenges such as reduced revenue and production capacity post-pandemic. This study aims to identify business models in SMEs using the Business Model Canvas (BMC) approach, develop alternative business strategies through SOAR analysis of BMC elements, prioritize these strategies using the Analytical Hierarchy Process (AHP) method, and enhance their BMC. Four expert respondents participated in the study. The research results highlight the current business conditions across the 9 BMC elements. The SOAR matrix produced eight alternative strategies, prioritized using the AHP method, including optimal production planning and scheduling (OR2), strengthening apple chips brand awareness (OA2), disseminating freeze-drying production technology innovations (OA1), developing business unit production (SA2), expanding the marketplace (SA1), maximizing the use of social media (OR1), product quality standardization (SR1), and forming partnerships with other fruit chip SMEs to innovate freeze-dried products (SR2). The BMC was further developed by integrating SR2 and OA1 into the key partnerships element, SA2 into the key resources element, OA2, OR1, and OA2 into the key activities element, SR1 into the value proposition element, and SA1 into the channel element.

Risk Identification and Safety Evaluation of Offshore Wind Power Submarine Cable Construction

To mitigate accidents in submarine cable construction within the rapidly expanding offshore wind power sector, this study employed the analytic hierarchy process (AHP) and risk matrix method (LS) to assess the risks associated with identified factors. Based on project research and expert consultations, five primary and twenty-two secondary risk factors were identified. AHP was utilized to rank the primary risk factors by severity, probability, and detection difficulty, with the highest risk being the environmental impact, followed by third-party destruction and worker error. LS was applied to rank the secondary risk factors by likelihood and severity, with the highest risks being complex submarine topography, low underwater visibility, and fishing operations. The study proposes risk reduction measures based on these evaluations and offers methodological guidance for improving construction safety in similar enterprises.

AHP-FCE를 활용한 중국 피난안내도 최적화 설계 연구 - Chung Hua University(CHU) 도서관을 중심으로

In large indoor public spaces such as office buildings and shopping malls, the complex architectural layout and dense population increase the difficulty of emergency evacuation. In the event of a fire or other disaster, the lack of effective evacuation measures can lead to significant casualties and property loss. This paper studies fire evacuation maps in China based on the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) methods, aiming to improve the cognitive efficiency and user experience of evacuation maps. The study first constructs a hierarchical index system for evacuation maps, determines the weights of various design elements, and forms a judgment matrix through evaluations by experts and users. Then, the optimized evacuation map undergoes a comprehensive evaluation analysis. The results show that clarity and functionality are the two aspects users are most concerned about, with the recognizability of signage and the accuracy of location information being particularly important. The optimized evacuation map shows significant improvements in clarity and information transmission, effectively guiding people to quickly escape in emergencies. This study validates the rationality and feasibility of the AHP-FCE method in the design of fire evacuation maps, providing new ideas and directions for further optimization of evacuation maps.

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.