AHP Model Research Articles

Penentuan Desa Wisata Terbaik di Kabupaten Tabanan dengan Model AHP dan BORDA

Tabanan Regency, is promoting the development of tourist villages and the development of many tourist villages in the area. The development of tourism villages can generate large regional income or income derived from the tourism sector. The problem is that not all tourist villages develop and generate revenue for the government, even many tourist villages are quiet from tourist visits. The selection of the best tourism village aims to find out what supporting factors can increase tourist visits and provide assistance to the tourist village. The purpose of the aid providers is to improve the quality of tourism in the area. The model used in the selection of tourist villages is the AHP and BORDA models. Both models are able to rank tourist villages from several criteria owned by tourist villages. The decision holder in this system is the Tourism Office of Tabanan Regency and the Province of Bali.

Analytic hierarchy process on comprehensive CO2 capture performance for activators with amine, nanoparticles and surfactants

Chemical absorption technology has been wildly demonstrated in industry, the absorbents have become one of the most decisive factors for the process intensification of CCS technology. In this work, two schemes about bended amine and nanofluid were adopted to develop high-performance TETA-based absorbent. A bubble reaction experimental system was established to extract key data of absorbents’ properties. An AHP model was applied by setting up characteristic matrices to determine the CO2 capture capacities of the overall aspects. The results show that the configuration of 10 wt. %TETA + 5.0 wt. %AMP has the optimal CO2 capture performance with the highest score of 0.763 in blended amine category. The performance of nanofluids are generally higher than the blank TETA solution, though it triggers a 0.6%–3.1% growth of Purchase cost. The AHP score increases first and then declines with the rising of nanoparticle’s mass fraction, and the highest score is given to the activator of 0.1 wt. % TiO2. For the configurations of nanofluids- surfactants, the citrate sodium shows a superior overall CO2 capture performance than Triton X-100, and the reasonable mass fraction of citrate sodium is considered as 0.05 wt. % with the AHP score of 0.792.

Multicriteria approach to select the most economically advantageous tender

Purpose This paper aims to show how the proposed approach (two analytic hierarchy process [AHP] models) may allow dealing with the best tender selection process in an organic and simple way and ensure the consistency check of the judgements, the necessary step for having reliable results. At first, this paper highlights some critical issues regarding the weighted sum model (WSM) and the algorithms frequently used to evaluate the most economic advantageous tender. Then, it proposes to extend the AHP approach to the evaluation of both the qualitative and quantitative components of a public procurement award. Finally, the WSM and the AHP are applied to the same case study to show, step by step, some criticisms of the former and some advantages of the latter. Design/methodology/approach This paper proposes to apply two AHP models to evaluate both qualitative and quantitative components of a public tender. The quality and cost models allow to identify and select the tender associated with the highest quality/cost ratio. Findings The assessment of the WSM and the AHP models, and some differences between them, build upon their application as an example of public procurement. A case study is used as a teaching device (Yin, 2003) to highlight why the AHP may provide different results. In particular, an important issue concerning the evaluation of qualitative requirements is explored: the consistency of judgements expressed by the committee members. Social implications This approach provides analytical tools for public management that allow appropriate implementation of their management function and allow a realisation of the strategic objectives of European Union law and Italian legislation on public procurement. It would help managers to prioritise their goals and criteria and evaluate them in a scientific way. The model integrates multiple qualitative and quantitative criteria, simplifies the selection process, achieves optimal use of funds and leads to cost savings. It allows to reduce the discretional power of both the contracting issuer, in the choice of the formula to adopt for calculating the coefficients, and the committee members, allowing tender evaluation to have more trust and ensure the fairness of public procurement matters and quality of the object purchased. Originality/value This paper proposes the use of two hierarchical models to evaluate qualitative and quantitative requirements and provide the ranking among several tenders.

Assessment of Tender Documents Quality Index

The success of any tender depends on the quality of tender documents. Factors affecting the quality of tender documents can be summarized within nine main factors and thirty-four secondary ones, which were collected from previous studies. The main purpose of this paper is to get an index that can help to evaluate the quality of tender document. Four steps are included to reach the purpose of this paper. The first step is to make a questionnaire to identify the most important factors affecting the quality of tender document. The second step includes a (AHP) model to get the quality percentage for any tender document and to implement this step a questionnaire was applied by using saaty scale. Depending on the previous steps, the most important factors affecting the quality of tender documents are: (Specifications, Design Drawings, Bill of Quantities, Terms and Conditions of Contract) representing (12%, 27.5%, 46.7% and 13.8%). The third step to set an index that can evaluate any tender document and minimum acceptable percentage for every factor. Finally, four actual case studies are implemented to illustrate the proposed AHP model to get the quality percent for each one and to set the proposed index to check the status of the tender (poor-accepted- good - very good - excellent) and to get the minimum acceptable percent for each factor.

PREFER ENSI PELAKU PASAR DALAM MEMILIH INSTRUMEN PASAR UANG ANTAR BANK SYARIAH: PENDEKATAN ANALYTICAL HIERARCHY PROCESS (AHP)

This research aims to describe, compare and analyze the Sharia Banks’ preferences for selecting Islamic interbank money market instrument in Indonesia to manage their liquidity, what is the reason and research what factors determines market choices in the future. Data collection through in-depth interviews through questionnaires to market participants consisting of 7 Islamic banks representing 97% of all Islamic Banking Institutions in Jakarta. The survey was conducted in October 2017. The empirical analysis tool used in this study is the AHP model based on several criteria for the preferences of market players. The liquidity instruments in the Sharia Interbank Money Market in Indonesia are still lack in variance. Among the 3 (three) instruments available: 1) Interbank Mudharaba Investment Certificate (SiMA), 2) Interbank Sharia Commodity Trading Certificate (SiKA), and 3) Sharia Repo, only SiMA is often transacted. Arguing that: 1) SiMA is most widely known and available in the market; 2) The mechanism of SiMA is not complicated, it‟s simple profit-sharing calculation and bookkeeping also easier; 3) SiMA is relatively easy to run especially for its settlement compared to Sharia Repo and SiKA which require underlying settlement.

Providing a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal

The aim of present study was to provide a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal in which subjects were Esfahan youth and sports offices (Iran). In the first step, related indices with four balanced scorecard perspective were identified, and scientific resources, research background, professional comments, and finally confirmatory factor analysis were used. Finally, 41 indices were identified and classified in four-perspectives balance scorecard (BSC). After confirmation of final construct of the BSC, fuzzy analytical hierarchy process was used to identify the weight of indices in every four perspectives. Then, in Esfahan, 26 youth and sports offices were ranked using numerical taxonomy method. According to the results, youth and sports offices of Esfahan city, Najafabad, and Shahinshahr were in first to third places, respectively. Finally, in order to conduct performance appraisal and rank sports organizations, a model was provided through the previous path. The provided model not only could identify studied organizations situation in every executive area but also could make a framework for better management and efficient performance.

Safety Valuation of Military Aviation Control System Based on Cloud Model

At present, the flight training, army operation increase constantly, the army ATC faces rigorous challenges. The safety evaluation on ATC can enhance the control effect and guarantee fly safety. In this paper, an evaluation index system is established based on ‘human factor, machine factor, environment factor and management factor’. On the basis of AHP and cloud model, the safety evaluation model is built. To validate the model, an experiment is operated, the result is accord with the real situation, which proves the scientifically and feasibility of this model.

GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia

Floods are considered as a major natural disaster due to their devastating effects that lead to socio-economic losses. The present study is an attempt to prepare a flood hazard susceptibility map of the Gabes region using ‘multi-criteria decision making – analytical hierarchy process’ model in geographic information system environment. Eight factors have been used in the flood modeling: elevation, land use/land cover, lithology, rainfall intensity, drainage density, distance from the drainage network, slope, and groundwater depth. The impact of each factor contributing in the flood risk was examined by weights using analytical hierarchy process method. The results obtained shows that the most prominent flood occurrence factor is the elevation (22.5%), around 15% of the total area is flooded and the flood hazard index is equal 6.30. The validation of results by a susceptibility zones histogram showed that 74.51% of the observed flood areas are mainly concentrated in a moderate to very high susceptibility zone.

An ensemble model for landslide susceptibility mapping in a forested area

This article proposes a new methodological approach using a combination of expert knowledge-based (analytic hierarchy process, AHP), bivariate (statistical index, SI) and multivariate (linear discriminant analysis, LDA) models for landslide susceptibility mapping (LSM) in Mazandran Province, Iran. Tolerance and variance inflation factor indicators were used for assessing multi-collinearity among parameters, and three (i.e. profile curvature, soil type and topography wetness index) of 18 factors were eliminated because of multi-collinearity issues. Fifteen geo-environmental conditioning factors including elevation, slope degree, slope aspect, plan curvature, slope length, convergence index, stream power index, distance from river, drainage density, distance from road, distance from fault, lithology, rainfall, land use/landcover and normalized difference vegetation index and 321 landslide locations (testing data set, 70% of total landslides) were used for modeling. The importance of factors showed that distance to road (AHP = 0.201, LDA = 0.301) was the most important factor in landslide occurrence. The validation results using validation data set (138 landslide locations, 30% of total landslides) and area under the receiver operating characteristic curve (AUROC) showed that the ensemble models AHP-LDR (83%), AHP-SI (95%) and SI-LDR (83%) had higher prediction accuracies than the individual AHP (82%), SI (82%) and LDA (79%) models and combination of AHP and SI models along with ALOS-PALSAR remote sensing data and geographic information system (GIS) technique provide powerful tool in LSM in the study area. The results of proposed novel methodological framework can be used by decision-makers and forest engineers for forest management spatially forest roads conservation that have key importance in sustainable development in local and regional scales.

SUSTAINABLE LAND USE EVALUATION BASED ON PRESERVATIVE APPROACH

Abstract. Determining the manner of land-use and the spatial structure of cities on the one hand, and the economic value of each piece of land on the other hand, land-use planning is always considered as the main part of urban planning. In this regard, emphasizing the efficient use of land, the sustainable development approach has presented a new perspective on urban planning and consequently on its most important pillar, i.e. land-use planning. In order to evaluate urban land-use, it has been attempted in this paper to select the most significant indicators affecting urban land-use and matching sustainable development indicators. Due to the significance of preserving ancient monuments and the surroundings as one of the main pillars of achieving sustainability, in this research, sustainability indicators have been selected emphasizing the preservation of ancient monuments and historical observance of the city of Susa as one of the historical cities of Iran. It has also been attempted to integrate these criteria with other land-use sustainability indicators. For this purpose, Kernel Density Estimation (KDE) and the AHP model have been used for providing maps displaying spatial density and combining layers as well as providing final maps respectively. Moreover, the rating of sustainability will be studied in different districts of the city of Shush so as to evaluate the status of land sustainability in different parts of the city. The results of the study show that different neighborhoods of Shush do not have the same sustainability in land-use such that neighborhoods located in the eastern half of the city, i.e. the new neighborhoods, have a higher sustainability than those of the western half. It seems that the allocation of a high percentage of these areas to arid lands and historical areas is one of the main reasons for their sustainability.

Research on maturity of engineering project informatization management—As an example of Anhui Sanjian Engineering Co.,LTD.

With Anhui Sanjian Engineering Co.,LTD. as the research object, using the AHP, Delphi and CMM grading model, the index weight is calculated by Yaahp software, engineering project of Anhui Sanjian Engineering Co.,LTD. Engineering project information management maturity has carried on the preliminary judgment and set up evaluation index system of engineering project information management maturity in Anhui province.Through the comparison between the comprehensive evaluation score and the evaluation interval, it is concluded that the engineering project informatization management of Anhui Sanjian Engineering Co.,LTD. Engineering project information management maturity is at the management mode level.This paper studies and analyzes the current situation and deficiencies of engineering project informatization management construction of Anhui Sanjian Engineering Co.,LTD. engineering project information management maturity and points out the next development direction for its informatization management construction.

The Model to Implement the Cyber Security Policy and Strategy for Azerbaijan Information System

This study aims to build an AHP model that evaluates the priority of cyber security policies for the Azerbaijan information system. For this, 4 factors were constructed from components of ITU National Interest Model, whereas 5 alternatives were based on the best practices of the eight developed countries leading the cyber security field. Using the questionnaire, 24 security experts evaluated the strategic priority of such factors or alternatives. The analysis results using the AHP software showed that homeland defense and economic well-being were the dominant aspects of cyber security policy, whereas capacity building and infrastructure were the main concern of cyber security elements for Azerbaijan. This study presents the strategic priority of cyber security policies that can be adopted by Azerbaijan government. This study can contribute to developing the national cyber security guide of Azerbaijan.

Spatial analysis and urban land use planning with emphasis on hospital site selection, case study: Isfahan city

Providing appropriate and equal health care to various classes of society is among the major issues in social welfare. Optimum spatial distribution and equitable locating of health services is important. Due to high population and density in the metropolis of Isfahan, quantitative and qualitative evaluation of hospitals of the city based on the related standards and regulations seems to be necessary. In this study, a combination of GIS and network analysis was used to evaluate the catchment areas of existing hospitals in Isfahan. The results indicated that existing hospitals covered only 23.91 percent of active urban areas at standard time. To promote fair access for citizens and improve the spatial distribution of hospitals based on the related standards and regulations, valuation of urban land for locating new hospital is necessary. Thus, with effective data collection in the form of layers of information such as transportation network, population density, land use, etc. using GIS and AHP model, the authors categorized urban land in 7 categories from poor to very good for construction of hospitals

Sustainable Development of Food Processing Enterprises in China

Sustainable development is an eternal topic in the development of human society. The paper seeks to contribute to the adoption of sustainable development practices in the food processing enterprises of China by fostering the capacities of the enterprises. Moreover, the paper aims to contribute to the promotion of sustainable consumption by helping and encouraging consumers in making informed choices of sustainable and eco-efficient produced foodstuffs. We combined with 1015 survey data in 28 areas of China by using AHP model analysis of the sustainable development of food processing enterprises. The results show that, the overall level of sustainable development ability of food processing enterprises in China is not high; paying attention to economic is significantly more important than paying attention to social and environmental aspects. Chinese food processing entities have an acceptable basis for the implementation of sustainable development. But there are still some problems. Finally, some suggestions are put forward to promote the sustainable development of Chinese food processing enterprises.

Assessment of Groundwater Pollution Vulnerability Using GIS Based Modified DRASTIC Model in Raipur City, Chhattisgarh

Abstract In the present study DRASTIC model was used to assess the groundwater vulnerable zone for Raipur city. In this study DRASTIC model is modified into four ways i.e. DRASTIC, Modified DRASTIC-Lu, DRASTIC AHP and Modified DRASTIC-Lu AHP. To modify the DRASTIC model, LULC parameter was added in the real DRASTIC model and also AHP technique applied to determine the rating and weight. In this study, it is observed that 2.83%, 7.57%, 32.03%, 47.78% and 9.8% areas are respectively falling under very low, low, moderate, high and very high vulnerable DRASTIC index, 2.56%, 10.96%, 30.10%, 47.47% and 8.9% areas are respectively falling under very low, low, moderate, high and very high vulnerable modified DRASTIC-Lu index, 3.27%, 16.63%, 47.14%, 74.44% and 9.96% area are respectively falling under very low, low, moderate, high and very high vulnerable DRASTIC-AHP index classes and 2.74%, 12.27%, 38.16%, 41.5% and 5.3% area are respectively falling under very low, low, moderate, high and very high vulnerable modified DRASTIC-Lu AHP index. To determine the accuracy of the DRASTIC models, total 50 groundwater samples of nitrate concentration were used for pre-monsoon and post-monsoon seasons and it was observed that Modified DRASTIC-Lu AHP model is most accurate and suitable for present study area.

A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method

Identifying the flood susceptible areas is a vital and substantial element of disaster management for every country to control and mitigate injuries of the natural hazards. The current research presents a framework for the preparation of flood prone areas' maps by the integration of Geospatial Information System (GIS), fuzzy logic, and Multi-Criteria Decision Making (MCDM). To achieve this goal, a spectrum of geophysical, geomorphological, meteorological, hydrological, and geographical criteria have been addressed. Considering the linkage and the interdependencies of the criteria, DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) approach are used to form the network of relations among the criteria. Moreover, considering inevitable uncertainty, ambiguity/vagueness of the experts' opinions, fuzzy theory is integrated with DEMATEL to handle the issue. Finally, Analytic Network Process (ANP) are implemented to calculate the final weight of every single criterion. The Kurdistan province, located in the North-West of Iran, is considered as the case study in which numerous flood events has had recently happened. The efficiency of the model is assessed through the area under the curve (AUC) and statistical measures such as the Kappa index. In order to evaluate the produced classified flood susceptibility map, the map of historical flood events in the province is also used. About 85% of validation area is classified as “Very High flood Susceptible” which implies the efficiency of proposed framework for flood susceptibility mapping. Furthermore, for evaluating the functionality of the framework in comparison with traditional approaches, the well-known AHP methodology is implemented too. The validation results demonstrate that the Fuzzy-DEMATEL ANP model (AUC-ROC = 0.938, Kappa = 0.88) has a higher performance accuracy compare to the AHP model (AUC-ROC = 0.918, Kappa = 0.79). Moreover, comparing the proposed and validation model shows that the proposed framework can effectively improve decision makers to provide flood susceptibility maps, and recognize flood susceptible areas in data-scarce and ungauged regions.

The Development Research of Bicycle Systems Based on SWOT - AHP Model

At the end of 2016, public bicycle system were affected to different degrees in various places due to the sudden rise of bike-sharing. In order to explore the development of public bicycle under the impact of bike-sharing, this paper take Xi’an public bicycle system as the research object. Then, the SWOT-AHP model was used to analysis the strengths and weakness of the system; the external opportunities and threats qualitatively and quantitatively, in order to find out the strategic model that adapt to its development. The results show that the public bicycle system in Xi’an should adopt a growth strategy, take advantages of the internal strengths of the system and the external opportunities to reduce the impact of bike-sharing development.

Research on SMEs’ Credit Risk Evaluation of Supply Chain Finance Based on the Third-party B2B Platform

Under the impact of the Internet finance, big data and cloud computing, supply chain finance began to extend into e-commerce. The cooperation between the banks and the third-party B2B platform, making supply chain financing model based on third party B2B platforms came into being. But with the innovation of the financing mode, banks are facing new risks. The paper establishes the evaluation index system by analyzing the main risks of the participants in this financing mode and the mode of credit risk by using the entropy, AHP and fuzzy TOPSIS model of left and right score. Finally, the paper applies the mode to the concrete instance and carries out the credit risk ordering. The result shows the reasonable and feasibility of the evaluation model, providing a basis for the choice of credit targets for Banks and other financial institutions.

A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making (GDM) in a vague decision environment. The complexity of the selected decision criteria for the smart medical devices is a significant feature of this analysis. To simulate these processes, a methodology that combines neutrosophics using bipolar numbers with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under GDM is suggested. Neutrosophics with TOPSIS approach is applied in the decision making process to deal with the vagueness, incomplete data and the uncertainty, considering the decisions criteria in the data collected by the decision makers (DMs). In this research, the stress is placed upon the choosing of sugar analyzing smart medical devices for diabetics' patients. The main objective is to present the complications of the problem, raising interest among specialists in the healthcare industry and assessing smart medical devices under different evaluation criteria. The problem is formulated as a multi criteria decision type with seven alternatives and seven criteria, and then edited as a multi criteria decision model with seven alternatives and seven criteria. The results of the neutrosophics with TOPSIS model are analyzed, showing that the competence of the acquired results and the rankings are sufficiently stable. The results of the suggested method are also compared with the neutrosophic extensions AHP and MOORA models in order to validate and prove the acquired results. In addition, we used the SPSS program to check the stability of the variations in the rankings by the Spearman coefficient of correlation. The selection methodology is applied on a numerical case, to prove the validity of the suggested approach.

Applying machine learning to AHP multicriteria decision making method to assets prioritization in the context of industrial maintenance 4.0

The increasing competition among industries has led to the emergence of numerous tools and methods to support decision making focused on assets maintenance in a company, since ensuring good maintenance is directly linked with greater reliability and uptime for equipment, reducing losses in production processes and consequently increasing profitability. This work aims to use Machine Learning (ML) algorithms - Bayesian Networks (BN) and attribute relevance analysis (ARA), implemented in the Weka® platform, to process a dataset of event logs failure of industrial machine components. The approach aims to use the conditional probability relations generated by the BN and the ranking of criteria relevance for the design of an AHP decision-making model within the scope of industrial maintenance to prioritize which components of a specific machine are more susceptible to failures. The proposed integration mechanism aims to bring greater reliability to the weights assigned to the criteria of the AHP model, and consequently, a more accurate decision support. The results showed that the AHP model generated from a Bayesian Network is consistent with the conditional probabilities estimated by the BN, giving robustness to the decision sphere in the context of industrial maintenance. This AHP model can serve as a basis to be complemented by qualitative analysis criteria according to the need of the individual specialist, allowing the construction of strategic maintenance action plans.