Application Of Analytic Hierarchy Process Research Articles

Application of analytic hierarchy process (AHP) to evaluate maintenance practices in TVET institutions in Kenya

TVET institutions are expected to produce the bulk of Kenya’s middle level manpower equipped with skills to drive the attainment of infrastructural objectives of Kenya Vision 2030. However inadequate training resources brought about by poor management practices continue to impede efforts to equip Kenyan youth with employable technical skills. A programme to re-equip the institutions has been effected but it requires maintenance practices to be aligned with the new acquisitions to ensure they are constantly available for training. A survey was conducted through a questionnaire to engineering departments to evaluate compliance with maintenance performance indicators (PIs); a 5-point rating scale was used to score responses in the questionnaire that returned a combined Maintenance Management System Effectiveness Index of 0.517. This indicated a need for improvement of maintenance practices. The Analytical Hierarchical Process (AHP) method was applied which identified predictive maintenance policy as the best one to apply

A State-of-the-Art Survey on Analytical Hierarchy Process Applications in Sustainable Development

Nowadays, utility of the multi-criteria decision making (MCDM) technique in tackling real-world complex problems has risen tremendously. Even the United Nations is focusing on decision-making in order to accomplish Agenda 2030, as stated in its paragraph 48. The desire to promote sustainable development (SD) necessitates complex decision models, which could be achieved through the use of an efficient MCDM approach. Analytical Hierarchy Process (AHP) is one of the most efficient MCDM techniques that is incorporated in this study. The purpose of this work is to provide a contrasting of AHP's application that emerged between 2011 and 2022, rather than to reflect on its methodological improvements. Its application encompasses a wide range of disciplines including Renewable Energy, Sustainable manufacturing, Natural Hazards, Environmental Pollution, Landfill waste management and many others which lies explicitly or implicitly under the theme of SD. Previously, many reviews have been conducted that concentrated on a single decision topic; moreover, this review explore the comprehensive viewpoint of decision problems. As per statistical results, Middle Eastern countries such as Iran placed top in terms of applying AHP application in different sectors. GIS and fuzzy logic are the most often used approaches to incorporate AHP across all disciplines. Notably, the findings indicate that the most decision problem have selection and assessment as a major concern whereas, environmental, economical, LULC & DFR are more frequently used criteria.

A Review of User-Centred Design Methods for Designing a Portable Oil Spill Skimmer

Boom and skimmer are mechanical techniques in Oil Spill Response and Recovery (OSRR) that collect oil from the water surface. However, there are several drawbacks of using boom and skimmer, such as the oil could pass over the boom during strong wind and high tides. Moreover, the currently available oil skimmer designed by the engineers is heavy-duty; in consequence, it is ineffective in shallow water. Thus, there is a need to develop a portable oil spill skimmer to complement the current drawbacks. Several journals on the fabrication of the oil spill skimmer were reviewed. Findings from literature shows that the development of oil spill skimmer lacks user requirements when designing a portable oil spill skimmer. This article provides a systematic review of Kansei Engineering and the Analytical Hierarchy Process in the product development process. Therefore, Kansei Engineering and Analytical Hierarchy Process (AHP) can be incorporated in the early stage of designing a portable oil spill skimmer. This paper also includes the application of Kansei Engineering and AHP in design research articles. Findings from observed articles indicate a lack of design and development technologies relating to products for environmental protection; the AHP and Kansei Engineering application is somewhat lacking. Moreover, the fabrication of an oil spill skimmer focuses more on technical specifications and includes fewer user requirements. As a result, the characteristics such as ease of use, robustness, and safety cannot be evaluated. The AHP and Kansei Engineering methodology can be extended to the design and manufacture of products for environmental protection.

Renewable Energy Scenarios for Sustainable Electricity in Malaysia and the Application of Analytical Hierarchy Process (AHP) for Decision-making

Renewable energy (RE) is an important addition to existing energy systems, indispensable to the sustainable development of human society now and in the future. Renewable energy is advantageous as it is clean, renewable and sustainable. Although the global power supply mainly relies on fossil fuels, as fuels are consumed and the formation cycle is extremely long, resources will gradually decrease and costs will increase accordingly. There are many types of renewable energy, and the selection of which RE should be chosen in a specific situation depends on many factors. The objective of this study is to develop a decision-making framework based on the Analytical Hierarchy Process (AHP) which covers four available renewable energy technologies in Malaysia. Through this process, the most critical issues in implementing the renewable energy systems can and have been identified which includes technology, ecological environment and market issues that must be overcome. The AHP results show that hydropower has great potential for electricity generation in Malaysia, while biomass and wind are ranked second and third respectively, and solar is ranked fourth. Nevertheless, this research had only considered four criteria with limitations in terms of the sub-criteria chosen. The accuracy of this framework may be improved if additional criteria are included and analyzed which can closely simulate the actual scenario of renewable energy development in Malaysia. Hence, through continuous optimization of the energy structure, energy security can be ensured while regional development strategies can be promoted for a balanced development of sustainable energy systems in the region.

Application and validation of AHP and FR methods for landslide susceptibility mapping around choke mountain, northwestern ethiopia

The present research was conducted around Choke Mountain, East Gojjam, Northwestern Ethiopia. This study aimed to apply and validate analytical hierarchy process (AHP) and frequency ratio (FR) Methods and produce landslide susceptibility maps of the area. At first, a landslide inventory map was produced with information on past and active landslide locations. To produce a susceptibility map, nine influencing factors including lithology, slope, elevation, distance to drainage, distance to road, profile curvature, plane curvature, NDVI, and aspect were determined and integrated into the ArcGIS platform. All these influencing factors were statistically analyzed to determine their relationship to past landslides. The landslide susceptibility maps generated in the GIS environment by the AHP and FR methods were classified into five susceptibility classes: very low, low, moderate, high, and very high. Accordingly, the AHP method showed that very high susceptibility zones and high susceptibility zones cover 9.8% and 19.3% of the area, respectively. Whereas, moderate, low, and very low susceptibility zones cover 26.1%, 28.0%, and 16.8% of the area, respectively. Similarly, the FR method showed that very high susceptibility zones and high susceptibility zones cover 12.2% and 22.5% of the area, respectively. Whereas, moderate, low, and very low susceptibility zones cover 27.6%, 24.2%, and 13.4% of the area, respectively. The final results were compared and validated using the area under the curve (AUC) method. According to the AUC graph, the AHP and FR methods had success rates of 85.8 and 82.0%, respectively, and prediction rates of 88.2 and 84.8%. According to the AUC validation results, the map obtained from the AHP method is more accurate than that obtained from the FR method. Thus, the validation of the landslide susceptibility map demonstrated that the methodologies used resulted in acceptable results. This type of map can be useful for damage and risk prevention management and land use planning.

Assessing the impacts of industrial wastewater on the inland surface water quality: An application of analytic hierarchy process (AHP) model-based water quality index and GIS techniques

The main objective of the present work is to provide a clear insight into receiving inland surface water quality in Kashipur city of Uttarakhand state, India, due to the impact of industrial discharges using a novel Water Quality Index method based on the Analytic Hierarchy Process (AHP) approach. Surface water samples were collected monthly from 12 locations between September 2020 and March 2021. The locations were chosen based on their potential to acquire the most contaminants from surrounding industries and analyzed for their physicochemical characteristics. Geostatistical analysis results represented the spatial variation of the parameter concentrations in the study area. Statistical analyses were performed using Principal Component Analysis and Hierarchical Cluster Analysis. PCA results revealed that two factor loadings impact the surface water chemistry in the study region, where factor 1 represents 50.051% of the variance with six dominant water parameters, and factor 2 represents 33.222% of the total variance. HCA classified the sampling locations randomly into two major clusters. Analytic Hierarchy Process results in establishing the weights of the parameters revealed that dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, and total dissolved solids were the dominant parameters for assessing water quality with a consistency ratio of 0.097. The WQI results showed that 8% of the water samples depict “very poor” inland surface water quality. The anthropogenic sources might be the reason for such poor water quality. This model can be effectively applied at any location and with as many parameters as required to assess surface water quality.

Most Searched Topics in the Scientific Literature on Failures in Photovoltaic Installations

Photovoltaic installations (PVs) are currently one of the fastest-growing sources of renewable energy. Expanded forms of financial support and higher electricity prices have resulted in a large increase in its installed capacity. PV installations are increasingly being ordered by industry and privates, often for installations capacity of several hundred kilowatts. In addition to the advantages, photovoltaic installations also have drawbacks. One of these is that the increase in the voltage in the power grid leads to the exclusion of individual installations from the grid. An important issue in the operation of photovoltaic installations is also their reliability during their lifetime. The reliability of photovoltaic installations depends on the random nature of the cloud cover as well as the material’s mechanical degradations. This paper presents a literature analysis using Citespace software in terms of reliability. A detailed bibliometric analysis has been performed to outline the main drawbacks of the PV installations cited by researchers. This literature review forms the basis for further analysis. The paper also presents a new approach to implementing the Multiple-Criteria Decision Analysis (MCDA) method for assessing the risk of failure of PV panels. The obtained results showed the main interests of scientists in the field of failure analysis of photovoltaic installations and countries having the largest share in research on this issue. The applied Analytic Hierarchy Process (AHP) analysis enables supporting the process of managing photovoltaic installations by analyzing installation operations in terms of reliability as reliability impacts the profitability of investments and operating costs. The proposed method can be used by the operators of photovoltaic installations or farms.

Application of analytical hierarchy process and GIS techniques to delineate the groundwater potential zones in and around Jorhat and Majuli areas of eastern Assam, India

Application of analytical hierarchy process and GIS techniques to delineate the groundwater potential zones in and around Jorhat and Majuli areas of eastern Assam, India

An Application of Analytical Hierarchy Process to Financial Asset Selection

Asset selection involves picking up a particular asset within each asset class in such a manner that it would outperform the rest of the assets to maximize the investor’s goal of increasing value while mitigating risk. This paper aims to implement a widely used “multi-criteria decision making (MCDM)” technique known as Analytical Hierarchy Process (AHP) for best asset selection. In AHP, the qualitative problems are described and transformed quantitatively, and then the quantitative analysis is used to find the relationship among various decision criteria. In this study, ethical and suitability criteria are used along with the financial criteria to rank the assets based on individual investors’ preferences. To demonstrate the efficacy of the problem, a hypothetical data set is used for ethical and suitability criteria, and data set of 10 assets of Nifty 50 companies under the National Stock Exchange (NSE) is collected for financial criteria.

Consistency Improvement Method of Pairwise Matrix Based on Consistency Ratio Decreasing Rate and Attribute Weighting Method Considered Decision Makers’ Levels in Analytic Hierarchy Process: Application to Hip Joint Prosthesis Material Selection

Analytic hierarchy process (AHP) is a well-known attribute weighting method in multiattribute decision-making. Its major requirement is to satisfy the consistency of pairwise matrix (PM). To solve this problem, we first propose a new consistency improvement method of PM based on consistency ratio (CR) decreasing rate. In this method, we calculate the CR decreasing rates of all the PMs reconstituted by replacing all elements of the PM with the lower and upper neighbouring 9-point scales and find the element with maximum CR decreasing rate, and then modify it to its lower or upper neighbouring scale. Second, we develop third-order approximate polynomial for random consistency index using least square method. It enables to determine the RI value according to the number of attributes without a numerical table. Third, we propose the final PM determining method and final attribute weighting method considered decision makers’ levels based on the CR values of the individual PMs in case several decision makers perform their own pairwise comparisons. We test the performances of the proposed and some previous consistency improvement methods with two numerical examples. The results demonstrate that the proposed method improves the consistency of PM better and faster with smaller amount of modification than that of the previous methods, while it modify the elements of the PM to 9-point scales, necessarily. We apply the proposed method to hip joint prosthesis material selection. The proposed methods may be widely used in practical applications of AHP.

On Prospects of Analytic Hierarchy Process Application for Freight Transportation Safety Management in Integrated Transport Systems

Integrated transport systems are a perfect form of transportation organization, because they allow integrated use of competing modes of transport, providing a high level of transportation service at affordable prices and savings in transportation costs. With the increasing demand for such transportation, the issue of transport safety assessment is becoming more important, particularly in preservation of cargo and vehicles in each section of the transportation process. In the process of technical progress, it becomes increasingly difficult to achieve a high enough level of transport safety, which allows to ensure national security and interests in the field of transport activities. Unfortunately, transport safety management today is mainly carried out at organizational level, which needs to be supplemented with safety assessment of transport system’s objects. The development of methods for transport safety assessment remains a complex scientific task, the solving of which depends on the economic efficiency and safety of the transportation process. Since transport safety is the state of the transport system, its assessment includes the safety assessments of various transport infrastructures. Thus, there is some imaginary protection field of the object of transport infrastructure, which provides counteraction to a set of existing or perceived threats. The proposed algorithm for safe freight transportation routes development may be divided into two cyclical stages: optimal transport hub determination from the alternatives; optimal transportation route choosing between selected transport hubs. The method provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. The practical use of the proposed approach allows at the designing stage of multimodal transportation routes to evaluate their alternatives, according to the selected criteria and take the necessary measures in order to improve transport safety.

การจัดลำดับความสำคัญของกลุ่มงานวิจัยในสาขาวิชาวิศวกรรมอุตสาหการและโลจิสติกส์ของไทยในยุคอุตสาหกรรม 4.0

This research aims to set the direction of research groups in Industrial and Logistics Engineering according to the evolution of Industry 4.0 era by applying Analytical Hierarchy Process (AHP). The applied AHP consists of 6 criterion which are research that promote and support the entrepreneur to develop commercial innovation, research that go along with Industry 4.0, research that go along with the development of Thailand Industry, research that challenge the interest of domestic entrepreneur, research that needed digital technology to support the operation and research that promote and support the competitiveness enhancement of Small and Medium Enterprises (SMEs) in Thailand. This research applies AHP to rank 12 research groups which are the group of operation research, the group of production and operation management, work study, plant layout, ergonomics and safety management, the group of quality management, the group of energy management, the group of green and sustainability in industrial engineering, the group of materials and manufacturing engineering, the group of supply chain and logistics, the group of innovation management and industrial technology transfer, the group of engineering management, the group of maintenance and reliability engineering and the group of other related topics to industrial engineering. The results from AHP show that the group of innovation management and industrial technology transfer, the group of green and sustainability in industrial engineering, the group of energy management and the group of supply chain and logistics are the research groups that need to be focused through 2 processes which are to promote and funding and to improve the related educational curriculum according to the direction of research groups.

Neural Network Model Design for Landscape Ecological Planning Assessment Based on Hierarchical Analysis.

In this paper, an in-depth study and analysis of landscape ecological planning and evaluation are carried out using the analytic hierarchy process (AHP) algorithm that integrates neural networks. The application of AHP in the field of tree species planning and the introduction of quantitative analysis methods can effectively change the subjectivity of previous qualitative analysis in tree species selection and make it objective, scientific, and reasonable. The research can provide a reference for other urban tree species planning. From the connotation of landscape ecological service process and ecological space structure, the analysis of landscape ecological service process involves service supply area and service association area, which correspond to different key components of ecological space structure. With the help of the platform, based on the identification and identification methods and theories of ecological spatial structure, the key components of ecological spatial structure in different environments are identified and extracted by using the representation model, binary suitability model, weighted suitability model, and process model. The type of service is based on the different service processes supported by the key components of the ecological spatial structure, forming the ecological spatial structure under different service types. Spatial structure; on this basis, the basic characteristics of the key components of the ecological spatial structure are analyzed, and the correlation characteristics of the ecological spatial structure are analyzed based on the correlation classification system of ecological spatial structure. A backpropagation (BP) neural network-based state assessment method of the grid structure is established. The method takes the parameters of the autoregressive model constructed by the acceleration signals of different working conditions as the feature quantity and the results of the fuzzy hierarchical analysis method as the labels, divides the data set into a training set and a test set, and uses the BP neural network learning method and the training set to supervised train the BP neural network learning assessment model. The test set is used to test the effectiveness and accuracy of the BP neural network-based learning method. The study shows that the evaluation system established by the BP neural network structure is fast and accurate and can substantially reduce the cost of manual testing.

Application of Analytical Hierarchy Process and Geophysical Method for Groundwater Potential Mapping in the Tata Basin, Morocco

Ensuring water availability for agriculture and drinking water supply in semi-arid mountainous regions requires control of factors influencing groundwater availability. In most cases, the population draws its water needs from the alluvial aquifers close to villages that are already limited and influenced by current climatic change. In addition, the establishment of deep wells in the hard rock aquifers depletes the aquifer. Hence, understanding the factors influencing water availability is an urgent requirement. The use of geographic information system (GIS), and remote sensing (RS), together with decision-making methods like analytical hierarchy process (AHP) will be of good aid in this regard. In the Tata basin, located in SE Morocco, ten factors were used to explain the groundwater potentiality map (GWPM). Five categories of potential zones were determined: very low (8.67%), low (17.74%), moderate (46.77%), high (19.95%), and very high (6.87%). The efficiency of the AHP model is validated using the ROC curve (receiver operating characteristics) which revealed a good correlation between the high potential groundwater zones and the spatial distribution of high flow wells. Geophysical prospecting, using electrical resistivity profiles, has made it possible to propose new well sites. It corresponds to conductive resistivity zones that coincide with the intersection of hydrogeological lineaments.

Climate Change and Food Security Prioritizing Indices: Applying Analytical Hierarchy Process (AHP) and Social Network Analysis (SNA)

Food security and climate change are multidimensional issues. Therefore, a lack of knowledge about the most essential variables made these concepts more complex for decision-making and highlighted the need for credible decision support methods. Here, we aim to develop an accurate tool by using the analytic hierarchy process (AHP) method to explore the priority indicator of food security under climate change in Iran and social network analysis (SNA) to support decisions. The following steps were conducted for the AHP approach: a literature review, a Likert questionnaire and experts’ interviews for variable selection and the variables’ weight determination and prioritization by pairwise comparison questionnaire, designed based on the hierarchy matrix of the criteria and sub-criteria of food security and climate change. The SNA was employed to understand the robustness of the informants’ points of view for indicator selection. After the analysis, 61 criteria were extracted. Sustainability was the important criterion, weighted 0.248. The most important sub-criteria (indicators): groundwater sources, household income, underweight adolescent ratio, food wastage and an annual average of precipitation, weighted 0.095, 0.091, 0.125, 0.227 and 0.236, respectively. The SNA showed that professionals with academic origins focused on the sustainability component. The AHP tool is a credible technique to distinguish the most important criteria. The results might be employed to estimate or predict food security under climate change and simplify decision making in Iran.

Application of Analytic Hierarchy Process in the Selection of Botryococcus braunii Cultivation Technology for Bio-crude Oil Production

Bio-crude oil is a way to utilize bioenergy that can reduce the Indonesian government's dependence on fossil energy. Bio-crude oil can be obtained by carrying out a thermochemical process of biomass. Microalgae is a potential source of biomass and Botryococcus braunii is one of the promising types of microalgae for this matter. One of the units required in the conversion process of microalgae into bio-crude oil is the cultivation unit. The objective of this study is to determine the most effective and optimal cultivation technology to be applied to the bio-crude oil refinery plant. Location of the cultivation system is in Cilacap, Central Java, Indonesia. A study was conducted for this purpose using the Analytic Hierarchy Process (AHP) method. The cultivation systems proposed to be the alternatives were open raceway pond, flat panel photo-bioreactor, hybrid, and membrane photo-bioreactor. The AHP results showed that the open raceway pond was selected to be applied to the bio-crude oil refinery process. The biomass production potential of Botryococcus braunii from the cultivation unit in this study was 19.8795 ton/year/ha which could be processed into 11.5301 ton of bio-crude oil with a high heating value (HHV) of 553,448.8 MJ.

Application of analytical hierarchy process for the determination of green polymeric-based composite manufacturing process

Application of analytical hierarchy process for the determination of green polymeric-based composite manufacturing process

Selection of a forecasting model for Russia consumer price index based on the application of Analytic Hierarchy Process

The present article is dedicated to the problem of making decisions in the process of selecting a forecasting model through the example of Russia Consumer Price Index (CPI) forecast. Forecast values of CPI have been obtained for a year of 2021 using five models. Qualitative criteria for the comparability of the models have been formulated in order to select the most appropriate model. The application of the Analytic Hierarchy Process gives the opportunity to determine the optimal model for the Consumer Price Index forecast based on the synthesis of quantitative preference vectors.

An Application of Analytic Hierarchy Process and Entropy Weight Method in Food Cold Chain Risk Evaluation Model.

The food cold chain is a special type of cold chain that refers to a system in which refrigerated and frozen food is always kept in the specified low-temperature environment in all links from production, storage, transportation, sales, distribution to consumption, so as to ensure food quality and to prevent food deterioration caused by temperature fluctuation. In recent years, the coronavirus disease 2019 (COVID-19) has brought a great impact on people’s life and the social economy and also threatened the large-scale food cold chain. Through the effective identification and evaluation of high-risk factors in the food cold chain, this article has found the major risks that have a great impact on the entire food cold chain and proposes the specific measures of risk management and control to solve the problems of food cold chain and reduce risks quickly and efficiently to ensure the stability and safety of food cold chain and avoid the serious food safety accidents. The contribution of this article is reflected in three aspects, namely, (1) applies the expert system based on professional knowledge and rich experience and constructs a classification and identification system structure of food cold chain risk indexes, which lay a foundation for further identifying and evaluating the major risks of the food cold chain; (2) designs a comprehensive index weighting method combining the AHP method and entropy weight method to quantitatively evaluate the major risks. This comprehensive method combines a hierarchical structure system, evaluation algorithm, subjective factor correction algorithm, and so on. The evaluation results are more accurate, have a high matching degree with reality, and have good theoretical and practical significance; (3) analyzes and explains the major risks of the food cold chain in the non-epidemic situations and COVID-19 situations. Proposals and measures for risk management and control are put forward, which have wide practical significance.

Application of analytic hierarchy process for evaluation Western region of Ukraine with the purpose of organic land use development

The purpose of the research described in this article is to test the method of hierarchies for assessing the territory according to the selected criteria and to determine the most attractive area for the development of organic land use in the Western region of Ukraine, which is suitable for organic land use. The interest of agricultural producers in organic products comes from a stable trend towards growth of the global organic market, and the significant potential of our country as one of the main producers and exporters of organic raw materials and products. The method of hierarchies was chosen to provide the accurate evaluation of the areas for developing organic land use, as it allows to gradually break down the problems into more and more simple components and set the priority of criteria. That is, to assess the importance of individual indicators in the further processing of the sequence of judgments based on the results of pairwise comparisons, which are then expressed numerically, as well as to evaluate alternative solutions and find the best of them. Taking into account the recommendations of scientists and the requirements of the standards according to which organic producers work, in order to build a hierarchical structure of indicators of agricultural land selection there were used ecological-toxicological and agrochemical indicators of its condition. There were derived normalized ratings for each criterion and checked their reliability by the index and the ratio of consistency. There was made a comparison for each criterion, for all studied alternatives and the corresponding generalized ratings were calculated. A matrix of global priorities is constructed, which characterizes the potential of the considered areas. According to the results of the assessment by the hierarchy method, the greatest potential for the introduction of organic land use in the Western region of Ukraine is in Lviv, Khmelnytsky and Ternopil regions. There is the largest area of agricultural land which is potentially suitable for organic production with the least risk and greater economic efficiency in the above-mentioned regions. Further research will focus on the use of the hierarchy method to evaluate the potential of the territory in terms of areas of the region on a wider list of criteria, taking into consideration the suggestions and priorities of the farmer (the potential investor).