Application Of Analytic Hierarchy Process Research Articles

Evaluating Lecturer Performance in Vietnam: An Application of Fuzzy AHP and Fuzzy TOPSIS Methods

Higher education is regarded as being of paramount importance in Vietnam and as being essential to raising the level of the country's labor force and promoting economic progress. Evaluation of lecturers is one of the institution's activities and a crucial component of managing human resources in higher education institutions. How to evaluate faculty members' overall performance using a range of criteria is one of the key evaluation-related challenges. This study presents a method that uses fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to assess and rank the performance of lecturers. Specifically, the evaluation framework is developed by identifying criteria and sub-criteria based on a comprehensive review of existing literature. Following that, the fuzzy AHP approach is used to determine the weights of the criteria and sub-criteria using the pairwise comparisons. The Fuzzy TOPSIS approach is employed to assess and prioritize lecturers identified through expert evaluation. When applied in group decision-making, utilizing fuzzy AHP and fuzzy TOPSIS promotes agreement among decision-makers and diminishes uncertainty in decision-making processes. The utilization of the multiple criterion measurement approach can then be used to carry out the evaluation. The suggested framework is also demonstrated via a case study. The use of this framework can improve the evaluation's objectivity, accuracy, and scientific methodology. It is believed that this work will assist managers of higher education institutions improve their standards for educational quality.

Ranking and rating halal-certified restaurants in Malaysia: an application of AHP

Purpose The purpose of the study is to measure the performance level of halal compliance practices by the halal-certified restaurants in Malaysia and rank and rate them based on several dimensions of halal compliance. Design/methodology/approach A total of 320 halal restaurants were surveyed. The absolute measurement approach of the analytic hierarchy process (AHP) was applied to rank and rate the restaurants. Finally, ANOVA and independent t-test were applied to assess if there is any significant difference in halal compliance performance between different groups of the respondents. Findings The AHP application resulted in only 19 restaurants (5.94%) achieving an “Excellent” rating. A significant difference has been observed between different groups of the respondents regarding their halal compliance performance. Research limitations/implications An onsite audit and ranking of all the restaurants in Malaysia were beyond the scope of the study. The research was able to rank only 320 restaurants across Malaysia. Practical implications The findings and methodology of the study will provide policymakers with a clear roadmap for establishing a comprehensive rating system in the fields of the halal food industry to enhance the quality and integrity of the halal food management system. Originality/value To the best of the authors’ knowledge, this is the first time an empirical approach, like AHP, has been used to determine how Malaysia’s halal-certified restaurants stack up against one another. Similar studies can be carried out in other sectors of the halal industry as well as in similar context.

기초지방자치단체 지역문화재단의 사업 우선순위 설정에 관한 연구 - 제도주의적 관점에서 계층화 분석법의 적용을 중심으로

This study investigates the prioritization in the operation and project implementation of South Korean local cultural foundations using the Analytic Hierarchy Process (AHP), a multi-criteria decision-making methodology. The purpose of this research is to provide insights into the decision-making processes of local cultural foundation personnel, grounded in the theoretical implications of institutionalism, including historical institutionalism, sociological institutionalism, and rational choice institutionalism. The contributions of this research are twofold: first, it demonstrates the applicability of AHP in multi-layered decision-making analysis, contributing to academic discourse on institutionalism and cultural administration and policy; and second, it offers practical insights to facilitate decision-making processes suitable for the environmental, situational, and conditional contexts of South Korean local cultural foundations. This study is anticipated to be academically and practically beneficial in analyzing decision-making for the promotion of regional culture in South Korea.

An application of AHP and fuzzy entropy-TOPSIS methods to optimize upstream petroleum investment in representative African basins

The growing demand of China for petroleum heightens the complexities and prospects in worldwide investments, necessitating refined and strategic investment approaches. Evaluating the potential of different hydrocarbon-potential areas needs more comprehensive scientific evaluation models. This study aims to establish a Comprehensive Investment Potential of Petroleum (CIPP) framework for targeted sedimentary basins by using an integrated approach that combines the Analytic Hierarchy Process (AHP) and the Entropy-Weighted Fuzzy TOPSIS models. We focus particularly on representative African basins to inform strategic decision-making for the Chinese overseas petroleum enterprises. We firstly interpret the geological condition of these petroleum basins by researching multiple databases and proprietary research data. Then, we use a combined approach of ranking-classification-correlation analysis to evaluate 17 representative basins, taking into account both overall and individual key performance indicators. Our findings suggest the Illizi Basin and the Offshore Côte d'Ivoire Basin could be the most favorable for investment and development. Those like Southwest African Basin warrant cautious consideration. The new evaluation model and computational workflow offer an effective workflow for assessing multiple petroleum basins. This work provides not just practical investment strategies for companies aiming for African petroleum basins, but also a transferable methodology for optimizing investment decisions.

Optimizing Supplier Selection in Indonesia Through Analytical Hierarchy Process (AHP)

This study introduces a structured multi-criteria decision-making framework using the Analytical Hierarchy Process (AHP), applied to evaluate suppliers based on quality, price, quantity of supply, and plantation area. Effective supplier selection is crucial for maintaining supply chain efficiency. By employing the Expert Choice 11 software, the AHP method quantitatively assessed each criterion, resulting in a definitive ranking of suppliers. The analysis highlighted the paramount importance of quality in supplier selection, assigning it the highest weight (0.565). The outcomes reveal that a meticulous application of AHP significantly enhances decision-making in supplier selection, suggesting its broader applicability in global supply chain management contexts to improve operational efficacy and resilience. Highlights: Structured Evaluation: The AHP method provides a systematic approach to supplier assessment. Emphasis on Quality: Quality is the dominant criterion in supplier selection with the highest weight. Operational Improvement: Implementing AHP enhances supply chain efficiency and decision accuracy. Keywords: Supplier Selection, Analytical Hierarchy Process, Expert Choice

Consistency Improvement in the Analytic Hierarchy Process

Consistency checking is one of the reasons for the Analytic Hierarchy Process (AHP) leadership in publications on multiple criteria decision-making (MCDM). Consistency is a measure of the quality of data input in the AHP. The theory of AHP provides indicators for the consistency of data. When an indicator is out of the desired interval, the data must be reviewed. This article presents a method for improving the consistency of reviewing the data input in an AHP application. First, a conventional literature review is presented on the theme. Then, an innovative tool of artificial intelligence is shown to confirm the main result of the conventional review: this topic is still attracting interest from AHP and MCDM researchers. Finally, a simple technique for consistency improvement is presented and illustrated with a practical case of MCDM: supplier selection by a company.

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

The watershed is one of the ecological functional units in a region. The Rawa Pening Sub-Watershed, located in Semarang Regency and its surroundings, is the upper region of the Tuntang Watershed, which experiences periodic floods. Flood hazard disasters occur due to several contributing factors. This phenomenon significantly affects the residents in the Rawa Pening Sub-Watershed, particularly in the agricultural sector, specifically in the local paddy fields. With the development of Geographic Information Systems (GIS) in disaster management, it is possible to provide preliminary information on predicting flood hazard zones, particularly in the Rawa Pening Sub-Watershed. This study aimed to determine the most influential parameters and areas highly prone to flood hazards in the Rawa Pening Sub-Watershed. Nine parameters, including elevation, slope, curvature, precipitation, land use, soil type, distance to the river, Normalized Difference Vegetation Index, and Topographic Wetness Index, were analyzed based on their respective roles. The Analytical Hierarchy Process (AHP) and Ordered Weighted Averaging (OWA) techniques were employed to obtain the flood hazard map. The nine parameters were weighted according to a Forum Group Discussion. The results yielded a flood hazard map divided into five zones: very low (3451,64 Ha / 13,16%), low (5024,29 Ha / 19,16%), moderate (6049,35 Ha / 23,07%), high (7949,67 Ha / 30,31%), and very high (3750,93 Ha / 14,30%).

An integrated geospatial and analytical hierarchy process approach for sustainable water management in the Amravati District, India

Abstract Groundwater is crucial for agriculture, domestic use, and industry. This study represents groundwater potential zones in the Amravati district, Maharashtra, India, using the analytical hierarchy process (AHP) and multi-influencing factor (MIF) techniques. These techniques are employed for a detailed spatial analysis, which is essential for sustainable groundwater management. The study integrates data layers including lithology, geomorphology, land use/land cover, drainage density, lineament density, rainfall, soil, elevation, and slope to evaluate the groundwater potential. The resulting groundwater potential map classifies the area into five categories: poor, fair, moderate, good, and excellent based on groundwater availability. The study reveals that 9% of the area has poor groundwater potential, 37% fair, 28% moderate, 13% good, and 13% excellent. This map is instrumental for stakeholders and policymakers, as it aids in resource allocation and the formulation of sustainable groundwater management strategies. Through the application of AHP and MIF techniques, this study effectively maps the groundwater potential, providing an essential tool for evidence-based decision-making for water resource management in the Amravati district.

Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia

The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.

The Application of Analytical Hierarchy Process (AHP) to Determine The Construction Project Risk

Realisation of implementation also has various risk levels that affect project delays, as a result of which project performance is disrupted and causes losses to costs, time and quality of work. This research location is in a construction project at the vehicle test service office, which aims to identify, analyse, evaluate and mitigate risks using the AHP methods. However, the Risk Breakdown Structures method was first conducted to compile a structured description of project risk identification based on risk categories and subcategories. The collected data were analysed using the AHP method to obtain the dominant risk, then mitigate risk by interviewing experts and validating from various sources so that it becomes the basis for conclusions. The risk of delay in the construction project includes four risk categories and twenty subcategories analysed using the AHP method. The results of processing the data on the dominant risk of uncertainty are the increase in the price of building materials by 10.172%, the rise in fuel prices by 7.835%, and the delay in handing over land by 6.710%. As for risk mitigation, construction providers implement and create strategies to save fuel use and generate work methods regarding the scope and time of project implementation.

Assessing Digital Bank Preferences in the Philippines: An Application of Analytic Hierarchy Process

Individuals at present utilize technologies such as digital banking for faster and more convenient transactions brought by globalization. This study determined the significant factors affecting user preference of digital banking and identified the most ideal digital bank in the Philippines. Data were collected from 150 respondents through an online survey using Google Forms. Applying analytic hierarchy process (AHP), results indicate that usefulness, usability, and security were the most important criteria while trust, health and safety, and risk were the least important. On user preference, Rizal Commercial Banking (RCBC) is the most preferred digital bank while Komo is the least. The study recommends the use of other evaluation tools such as structural equation modeling and machine learning algorithms to deepen understanding of digital banking preferences.

Urban flood hazard assessment in Awka metropolis using multi-criteria decision process

Urban flooding is an escalating global threat, and Awka Metropolis in Anambra state Nigeria is no exception. The city's rapid urbanization and inadequate infrastructure have left it increasingly vulnerable to flooding, exacerbated by the impacts of climate change. Anticipated flood effects include disruption of daily life, infrastructure damage, and threats to public safety, necessitating urgent attention. This study presents a comprehensive assessment of urban flood hazards in Awka Metropolis, utilizing an integrated approach combining the Analytical Hierarchy Process (AHP) and Flood Hazard Index (FHI) to gauge the city's flood vulnerability. The primary objectives were to identify key geophysical factors contributing to flooding, categorize these factors by their vulnerability, determine their reliability indices, delineate flood-prone zones, and generate a spatial flood extent map. The methodology encompassed data acquisition, pre-processing, Flood Modeling (evaluating slope, Elevation, Drainage Network, and flow accumulation), the application of Analytical Hierarchy Process, and the utilization of the Flood Hazard Index. The results classified Awka Metropolis into three flood risk zones: high (837.84 hectares, 14.70%), moderate (2182.65 hectares, 38.30%), and low (2678.45 hectares, 46.99%). These findings provide indispensable insights into the distribution of flood hazards across the city, enabling urban planners and authorities to strategically allocate resources, prioritize mitigation initiatives, and formulate targeted flood risk reduction strategies. Importantly, the incorporation of stakeholder input enhances the study's practical relevance and applicability in real-world urban planning and disaster management scenarios. In conclusion, this research offers a robust and multidimensional framework for assessing urban flood hazards in Awka Metropolis. The synergy of the Analytical Hierarchy Process and Flood Hazard Index equips urban planners, policymakers, and disaster management agencies to proactively tackle the mounting urban flooding challenges. The study's outcomes contribute to the development of sustainable flood risk reduction measures, ultimately enhancing the resilience of Awka Metropolis to future flood events.

Application of AHP and geospatial technologies to assess ecotourism suitability: A case study of Saint Martin's Island in Bangladesh

The study uses the Geographical Information System (GIS) to identify and assess the potentially eco-friendly, sustainable tourist locations on Saint Martin’s Island, Bangladesh. Key informant interview (KII) and the Analytical Hierarchy Process (AHP) have been used to establish a resource inventory and to set a number of sustainable tourism requirements. The suitability map for eco-friendly sustainable tourism was subsequently developed, based on the respective weights deriving from the linear combination of criteria and factors. From the analysis report, it was revealed that the areas of suitable, moderately suitable, less suitable and not suitable were 30%, 32%, 10% and 28% respectively. In this study, attempts were made to specify the degree of ecotourism suitability in the investigated area. The outcome might be useful for the development of resilient policy to design ecotourism. Similarly, this analysis can be used as a guideline for assessing eco-friendly sustainable tourism in other regions. It may also act as a point of departure for potentially more nuanced research.

Application of decision analysis module in water resources allocation of inter-provincial river basins: A case study at the Bang Giang - Ky Cung river basin, Vietnam

The analytic hierarchy process (AHP) method has been widely applied in numerous studies related to water allocation worldwide. However, in Vietnam, very few works have addressed the determination of priority orders and water allocation proportions using this method. This paper focuses on the application of AHP, integrated into the decision analysis module for Excel tool (DAME), to determine the priority order and proportion of water resource allocation for the Bang Giang - Ky Cung river basin using various input data, such as water usage, production values, growth rates, etc. The results, based on scenarios of socio-economic growth up to 2025 for Cao Bang, Lang Son, and Bac Kan provinces, taking into account four main water user categories (industry, livestock, agriculture, aquaculture), and considering the entire basin, indicate that the highest proportion of water resource allocation is for the agriculture, approximately 34%, followed by livestock at 33%, industry at 22%, and finally aquaculture at 11%. The findings of this paper can serve as a reference for near-future planning to promote the development of water sectors, increase production capacity, and effectively manage water resources to meet socio-economic development targets for the period from 2021 to 2025 in the provinces located within the basin.

Application of Analytic Hierarchy Process (AHP) Method in Comparing Stakeholder Perceptions of Tourism Impact in Mentawai Islands

Tourism has become one of the important industries in the Mentawai Islands. Some people depend on the tourism sector. The tourism sector does not come without any consequences or impacts, both positive and negative. Each tourism stakeholder has a perception of the tourism impact. It is necessary to trace stakeholders’ perceptions of the impact of tourism on a tourist destination so that these perceptions can be a reference in tourism development that can represent the interests of all parties. This study explored stakeholder perceptions of tourism impact in the Mentawai Islands. The stakeholders studied in this study are local governments and local communities. This quantitative research used the Analytic Hierarchy Process (AHP) approach to obtain priority impacts from both stakeholder groups. Analyzing stakeholder perceptions seldom use the AHP method. The method is different from quantitative methods in general. A mathematical approach determines stakeholder perceptions of tourism impacts instead of statistical approaches. The tourism impact focused on three main impacts, i.e., economic, socio-cultural, and environmental impacts. The study shows that local governments' perceptions of the tourism impact are dominant in the economic impact (40.14%). Meanwhile, the local community’s perceptions tend to the environmental impact (40.24%). When compared, several impact criteria are considered equally important by both stakeholder groups. Based on this, the comparison of these two stakeholder perceptions can be a reference in the development of tourism in the Mentawai Islands.

Application of Analytical Hierarchy Process and Frequency Ratio Model for Predictive Flood Susceptibility Mapping Using GIS for the Khazir River Basin, Northern Iraq

Flood damage assessment is considered the essential tool for evaluating risk to civil and agricultural systems in land use planning. The validity of the studies’ outcome depends on the availability of data and their spatial distribution. The present study came to compute flood susceptibility maps utilizing two application models: (i) the frequency ratio, and (ii) the analytical hierarchy process. These models were then tested in the Khazir River basin using GIS with a selection of twelve flood conditioning factors. The flood inventory variables layer and flood-causing factors were created using remote sensing data, a digital elevation model, and secondary data from various sources. Then, the flood inventory map was highlight divided into training and test data, with 105 flood sites (70%) used for training and 45 sites (30%) used for testing. After applying the areas under the curve for the frequency ratio and analytical hierarchy process models, which were 90.6% and 88.9%, respectively, the final flood sensitivity maps showed similar results for the two models, which confirm the effectiveness of the adopted methodology. The study found a considerable spatial variance in flood sensitivity maps, as (21.06%) of the flooded areas are classified as having very low sensitivity to flooding, (24.09%) are classified as having low vulnerability to floods, and (23.79%) are classified as having moderate vulnerability, (24.10%) classified as highly vulnerable to flooding, and (6.96%) classified as highly vulnerable to flooding. Flood danger ranged from very low in mountain locations to very high in plain areas close to the riverbanks. Obtained results could be improved if a land-use planning policy will be applied, in order to establish a master plan for water resources development to avoid flood damage.

Application of Analytical Hierarchy Process (AHP) in the Selection of a Flexible Production System

The Analytic Hierarchy Process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It has application in group decision-making and is used worldwide in a wide variety of decision-making situations. Rather than prescribing a ""correct"" decision, AHP helps decision-makers choose the decision that best fits their goal and their understanding of the problem. The technique provides a comprehensive and rational framework for structuring a decision problem, representing and quantifying its elements, relating those elements to general objectives, and evaluating alternative solutions. Given each specific situation, making the right decisions is probably one of the most difficult challenges for managers. The obtained results allow the manager to evaluate the employees in an objective way and make an objective decision for their promotion. This tool not only supports and qualifies decisions, but also allows managers to justify their choices as well as simulate possible outcomes.

Assessing Vulnerability of Agriculture to Drought in East Java, Indonesia: Application of GIS and AHP

Drought known as ‘silent killer’—unpredictable slow-moving hazard which cause severe damage to people and environment. Since agriculture is the first and foremost sector affected by drought, the risk of crop failure can be minimized by reducing vulnerability. Climate patterns can be considered as systematic conditions which are capable of assigning sensitivity regions to drought. Here, the study employs Oldeman’s Agro Climatic data as physical vulnerability indicator to assess and monitor the vulnerability of agriculture system to drought in East Java. The study used long-term monthly rainfall observation data to generate climatic map accompanied with socio-economic indicators to assess vulnerability of region to drought. Spatial distribution of vulnerability was mapped using Geographic Information Systems (GIS) combined with Analytic Hierarchy Process (AHP). The results show there are five categories of vulnerability to drought: very high, high, moderate, low, and very low based on standardized index. Madura Island, particularly Bangkalan, Sampang, and Sumenep considered as most vulnerable region to drought. In addition, most regions in the north plain of East Java, including Tuban, Lamongan, and Gresik categorized as highly vulnerable to drought. Factors affecting vulnerability are mostly related to drier climate which affect acreage and availability of irrigation. The socio-economic factors likewise smallholder farmers and poverty contribute to rising vulnerability level. South part of East Java, particularly Tulungagung and Blitar Regency was least vulnerable because of appropriate climate which induced to acreage of irrigated land. The study emphasizes the utilizing of Oldeman climate pattern as primary indicator in determining vulnerable regions. Smallholder farmers and poverty causing vulnerability in agriculture emerged as priority for further study. The results can provide new insights into drought management for most vulnerable regions by considering local climatic characteristics.

Employing Fuzzy AHP in Modeling a Decision Support System for Determining Scholarship Recipients within the University Context

In the realm of university scholarship programs, the process of selecting deserving recipients presents a complex decision-making challenge. This study explores the integration of Fuzzy Analytical Hierarchy Process (AHP) into the modeling of a Decision Support System (DSS) aimed at facilitating the determination of scholarship awardees. The utilization of Fuzzy AHP enables a more comprehensive and nuanced evaluation of candidates by accommodating uncertainties and imprecisions inherent in the decision-making process. This research investigates the application of Fuzzy AHP within the specific context of university scholarship recipient selection. The proposed DSS framework not only enhances the objectivity and transparency of the decision-making process but also contributes to the optimization of resource allocation and the identification of candidates best aligned with the scholarship's objectives. By employing Fuzzy AHP in this decision-support context, universities can effectively address the intricate considerations involved in awarding scholarships, thereby promoting fairness and increasing the likelihood of rewarding the most deserving individuals.

A modified DRASTIC model for groundwater vulnerability assessment using connecting path and analytic hierarchy process methods.

Groundwater plays a vital role in supporting water for the different needs of domestic, agricultural, and industrial sectors, and its vulnerability assessment to pollution is a valuable tool for establishing protective and preventive management. DRASTIC is a well-known GIS-based model for assessing groundwater vulnerability to pollution, which uses seven parameters including depth-to-water level, net recharge, aquifer media, soil media, topography, the impact of the vadose zone, and hydraulic conductivity. The predefined weights of DRASTIC parameters have made a barrier to its applicability for different regions with different hydroclimatic conditions. To overcome this problem, it has been suggested to apply analytic hierarchy process (AHP) method for modifying the model by adjusting the weights of the parameters. AHP is a widely used method to elicit experts' judgments about different involving parameters through constructing pairwise comparison matrixes (PCMs). Since AHP calculates the weights by performing pairwise comparisons between the parameters, achieving consistent comparisons is difficult when the number of parameters increases. The objective of this research is to modify the DRASTIC model by integrating the connecting path method (CPM) and AHP. The proposed methodology involves asking experts to perform a number of pairwise comparisons between the parameters and then construct an incomplete PCM using the obtained information. To complete the missing values in the PCM, CPM is employed. The CPM is an effective approach that not only estimates missing judgments but also ensures minimal geometric consistency. The proposed method along with DRASTIC and pesticide DRASTIC models is applied to Khoy County, which is located in the northwest part of Iran. The efficiency of the proposed method was further confirmed through the results of the Pearson coefficient test conducted on nitrate concentrations. The test revealed correlation values of 0.47, 0.27, and 0.57 for DRASTIC, pesticide DRASTIC, and modified DRASTIC, respectively. These results demonstrated that the proposed method provides a more precise evaluation of groundwater vulnerability.