Multi-criteria AHP Research Articles

Development and Application of an Environmental Vulnerability Index (EVI) for Identifying Priority Restoration Areas in the São Francisco River Basin, Brazil

The environmental vulnerability diagnosis of a river basin depends on a holistic analysis of its environmental aspects and degradation factors. Based on this diagnosis, the definition of priority areas where interventions for environmental recovery should be carried out is fundamental, since financial and natural resources are limited. In this study, we developed a methodology to assess these fragilities using an environmental vulnerability index (EVI) that combines physical and environmental indicators related to the natural sensitivity of ecosystems and their exposure to anthropogenic factors. The developed EVI was applied to the headwater region of the São Francisco River Basin (SFRB), Brazil. The proposed index was based on the AHP multicriteria analysis and was adapted to include four variables representative of the study area: Land Use Adequacy, Burned Area, Erosion Susceptibility, and quantitative water balance. The EVI analysis highlighted that the presence of easily erodible soils, associated with sloping areas and land use above their capacity, generate the most vulnerable areas in the headwaters of the SFRB. The highest EVI values are primarily linked to regions with shallow, easily erodible soils like Leptosols and Cambisols, found in steep areas predominantly used for pasture. In the SFBR, the greatest vulnerability was observed within a 5 km buffer around conservation units, covering approximately 32.4% of the total area. The results of this study indicate where resources should be applied for environmental preservation in the basin under study, directing the allocation of efforts to areas with lower resilience to maintain ecosystem services.

Optimising Solar PV Placement in Indonesia: AHP Multi-Criteria Decision Analysis for Ideal Locations

Optimising Solar PV Placement in Indonesia: AHP Multi-Criteria Decision Analysis for Ideal Locations

Management Indicators for the Organisational Sustainability of Associative Productive Ventures

Associative enterprises linked to the social economy continue to be an important economic alternative for small producers, generating decent work opportunities for people excluded from the formal labour market and contributing to sustainable development. The social and economic importance of this type of initiative has prompted several scientific publications on its success factors, leaving a gap in its practicality, raising the question: How can success factors of associative productive ventures be integrated into management indicators that promote their organisational sustainability? The aim is to define and prioritise management indicators that promote associative productive ventures through the analysis of key success factors. This study was carried out using a combination of BSC management methodology and AHP multicriteria decision making, based on a bibliographic review of success factors and the criteria of experts including managers of consolidated production associations in Quito-Ecuador. The results show that the indicators of participatory leadership, technical training and labour integration are the most relevant in the consolidation of associative productive ventures, prompting the conclusion that the prioritisation and integration of business and social management indicators would boost the organisational sustainability of associative ventures.

Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches

The optimal management of personal resources impacts everyone’s quality of life. An investment in graduate education is a sustainable opportunity for improved outcomes in human life, including cognition, behavior, life opportunities, salary, and career. Advanced technology dramatically reduces the risk of personal resources in graduate program admission recommendations that depend on multiple individual needs and preferences. In the digital age, a dynamic recommender system enhances the suitably effective solution for students’ university selections. This study focused on designing, developing, and testing a recommender system for graduate admission using a dynamic multi-criteria AHP and fuzzy AHP approach. The explicit multi-criteria recommender system was a platform as a service (PaaS) web application created to aid in graduate admissions management and decision-making. The design proposed that the bit representation store a dynamic explicit multi-criteria data structure. The recommendations adopting dynamic multi-criteria were validated by comparing them to the programs to which the students were actually admitted and enrolled. They individually ranked the evaluation outcomes of dynamic explicit multi-criteria and alternative preferences to provide graduate admission recommendations. Eighty graduate students in information technology evaluated the recommender system. Using top-1, top-2, and F1-score accuracy, the effective system accuracy performance on the dynamic multi-criteria recommender system was evaluated using AHP and fuzzy AHP approaches. The fuzzy AHP demonstrated marginally greater practical accuracy than the AHP method.

Thermal and Hydrodynamic Performance Analysis of a Shell and Tube Heat Exchanger Using the AHP Multicriteria Method

Thermal and Hydrodynamic Performance Analysis of a Shell and Tube Heat Exchanger Using the AHP Multicriteria Method

Use of multi-criteria AHP technique for detection of potential sites for tourism in Anjarle Beach area of Ratnagiri District, Maharashtra (India)

Use of multi-criteria AHP technique for detection of potential sites for tourism in Anjarle Beach area of Ratnagiri District, Maharashtra (India)

Optimizing the Transportation Route in the Distribution Network Using Fuzzy AHP Multi-Criteria Decision Making

In the field of transportation in the distribution network, route optimization is of great importance because it can reduce costs, increase efficiency, and improve service quality. In this paper, a new method to optimize the transportation route in the distribution network using fuzzy AHP multi-criteria decision making is introduced. First, using the fuzzy AHP method, various criteria such as distance and time, cost and service quality are evaluated. Then, by using the matrix of integrated fuzzy comparisons of the criteria, the preference of each criterion over the other is determined. In the next step, in order to improve the accuracy and efficiency, the sub-criteria related to each criterion are evaluated. Using the matrix of integrated fuzzy comparisons of sub-criteria and the normalization method, the degree of preference of each sub-criteria is determined and we rank them. According to the results obtained from the preference of criteria and sub-criteria, different transportation routes can be improved and optimized based on preferences and normalization of preferences. The results show that the use of fuzzy AHP multi-criteria decision-making in the optimization of the transportation route in the distribution network leads to improved efficiency and reduced costs, and ultimately increases the quality of services.

A Literature Review of the Use of GIS-Based Multi-Criteria AHP Technique for Optimal Siting of Wind Energy Sources

A Literature Review of the Use of GIS-Based Multi-Criteria AHP Technique for Optimal Siting of Wind Energy Sources

Application of Multi-Criteria Analytic Methods in the Assessment of the Technical Conditions of Small Hydraulic Structures

Increasing water demand, combined with unfavourable climate change, creates a need for well-thought-out water management. Such goals are realised thanks to appropriate hydrotechnical infrastructure, the efficiency and functionality of which depend on its technical condition. In the literature, there is no method for the assessment of the technical condition of small damming structures, including sluice gates. The aim of this article was to present the possibility of using the multi-criteria AHP decision support method to assess the technical condition of small damming structures. The assessment included both concrete elements (spillways, abutments, and apron) and steel elements (gates and hoisting equipment). The analyses considered the effects of growing vegetation, the condition of concrete surfaces (e.g., cracks, cavities, exposed rebar) and steel elements (corrosion, deterioration). A hybrid method was used to study the assessment of the technical condition of water structures. It consisted of a modified Zawadzki’s method and weights which were determined by different groups of respondents with industry backgrounds (university students and experts) using the AHP method. The obtained results show that the factors related to the holes and corrosion of the gate elements had the highest value of the matrix solution vector. The last level of the tree structure indicated that the condition of the spillway and gate is the most important factor in the technical condition assessment. As the assessment considers commonly available parameters, the proposed method is universal and can be used in the assessment of other structures of this type in different regions of the world, which is important in terms of their functioning, planned repairs, and optimal use in water resource management.

PORT LOGISTICS VIABILITY ANALYSIS

This article aims to perform the logistic viability analysis of PAC for West Africa using the AHP multicriteria method. This port contributes largely in the country's economy through customs and tax revenues, the formation of the Gross Domestic Product (GDP) and also in international trade. Four criteria (quality of infrastructure and services, equipment productivity, and logistics cost of cargo) were modeled. With the result, the port infrastructure criterion is most important, followed by the port equipment criterion. Showing the importance of each port logistics viability criterion (infrastructure, service, equipment, cost), the alternative long-term logistics viability is preferable to the medium-term and short-term. The application of the AHP shows in its result that for long-term port logistics viability, it is preferable to invest more in modern and quality infrastructure and equipment.

Design of a Model for the Evaluation of Social Projects Using Neutrosophic AHP and TOPSIS

Projects are responses to identified problems. So a thorough analysis to detect the problem is extremely important in project management. There are countless types of projects depending on their purpose, content among other issues. Among these, those related to content and social development stand out due to the current context. In the development of this research, the characteristics of a project in a general sense are detailed and it is specified in those related to social programs, taking into account the current situation in the world, mainly influenced by the economic crisis and the Covid 19 pandemic. The foundations for the design and development of a procedure for the evaluation of social projects will be established. A series of principles and premises related to these will be analyzed using the AHP and TOPSIS multicriteria methods in their neutrosophic version. The result is a decision support tool for all the people involved in the process © 2021. Neutrosophic Sets and Systems. All Rights Reserved.

The use of the multi-criteria AHP method to select a cloud computing provider

The article aims to present one of the methods of supporting decision-making by non-specialists, using the experience of experts in each field, in this case specialists using the services provided in the computing cloud model. The broad spectrum of cloud-based services makes it difficult for decision-makers to choose a single solution from among the many options available. A solution to the decision problem was proposed using the method of hierarchical analysis of decision problems. Five cloud service providers were selected, and the classification was made according to five criteria. The analysis is based on author’s own research.

Análisis y clasificación regional de la siniestralidad laboral en la industria de la construcción civil brasileña

Anualmente en el territorio brasileño, por causa del trabajo en la industria de la construcción, acontecen miles de siniestros laborales, que dejan como resultado fuertes afectaciones sociales y gasto de millones de dólares en beneficios accidentarios. Con fundamento en estas informaciones, se torna relevante analizar el comportamiento del país frente a la accidentalidad laboral en dicha industria. Por lo tanto, este artículo presenta como resultados principales, un análisis y un ranking de la siniestralidad laboral en el sector construcción en las regiones brasileñas, a partir de datos obtenidos de fuentes estadísticas oficiales, para el periodo 2010-2016, donde se destaca una reducción generalizada en los índices accidentalidad del país. Este estudio se llevó a cabo mediante investigaciones cuantitativas, observaciones estadísticas, determinación de correlaciones y uso de los métodos multicriterio AHP y TOPSIS, pretendiendo brindar especialmente a profesionales del sector y a las autoridades nacionales, una visión clara de la problemática.

Exploring Aluminum Alloy Metal Matrix Composites in EDM Using Coupled Factor-level-present Worth Analysis and Fuzzy Analytic Hierarchy Process

This paper targets two improvement aspects of the electrical discharge machining (EDM) process. First, it formulates the EDM problem as an economic issue incorporating the present worth analysis into the factor-level framework and solves it with the performance analysis flow diagram. Second, it conceptualizes the EDM process as imprecision and uncertainty and solves it with the fuzzy analytical hierarchy process (FAHP) approach. At present, these methods are not accessible to the EDM process engineer to machine the work material, AA6061/10%Al2O3AMMCs. In this study, the EDM process application using these methods on AA6061/10%Al2O3AMMCs is considered. This paper investigates the use of fuzzy AHP multi-criteria and the present worth method to produce a structured approach to model multi-response problem of EDM process parametric optimization concerning composite named AA6061/10%Al2O3AMMCs to obtain a robust design and the best parametric selection. The selected performance measures for the inputs to attain the performance flow analysis using the present worth method are MRR = 17.932 to 31.753 mg/min, TWR = 0.171 to 0.289 mg/min, SR = 8.228 to 12.680 mm and OV = 0.292 to 0.406 mm. The performance flow analysis reveals a present with a value of 1.604 based on the equivalence analysis of the flow diagram's positive and negative sides. The FAHP results showed the enhanced values of 0.1051, 0.2290, and 0.6658 for peak current, pulse on time, and duty factor, respectively. The approach is novel and has not been implemented elsewhere to solve the problem for the combination of materials studied.

Improving Distributed Decision Making in Inventory Management: A Combined ABC-AHP Approach Supported by Teamwork

The need of organizations to ensure service levels that impact on customer satisfaction has required the design of collaborative processes among stakeholders involved in inventory decision making. The increase of quantity and variety of items, on the one hand, and demand and customer expectations, on the other hand, are transformed into a greater complexity in inventory management, requiring effective communication and agreements between the leaders of the logistics processes. Traditionally, decision making in inventory management was based on approaches conditioned only by cost or sales volume. These approaches must be overcome by others that consider multiple criteria, involving several areas of the companies and taking into account the opinions of the stakeholders involved in these decisions. Inventory management becomes part of a complex system that involves stakeholders from different areas of the company, where each agent has limited information and where the cooperation between such agents is key for the system’s performance. In this paper, a distributed inventory control approach was used with the decisions allowing communication between the stakeholders and with a multicriteria group decision-making perspective. This work proposes a methodology that combines the analysis of the value chain and the AHP technique, in order to improve communication and the performance of the areas related to inventory management decision making. This methodology uses the areas of the value chain as a theoretical framework to identify the criteria necessary for the application of the AHP multicriteria group decision-making technique. These criteria were defined as indicators that measure the performance of the areas of the value chain related to inventory management and were used to classify ABC inventory of the products according to these selected criteria. Therefore, the methodology allows us to solve inventory management DDM based on multicriteria ABC classification and was validated in a Colombian company belonging to the graphic arts sector.

User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

The necessity of the use of several mobile services increases every day. This requires the consumption of energy rates. Hence, minimizing the energy and interferences of mobile users are major concerns of Heterogeneous Networks (HetNet). This paper aims to improve the energy of mobile users by minimizing a weighted function. To consider significant weights values, we have exploited the multicriteria AHP method. The cost function represents the cost of users toward available BS. It includes the essential criteria influencing energy consumption. Moreover, we introduce an optimal user association based on their minimal cost values. Simulation results prove that the optimal method has saved more energy and reduced network interferences.

Determination and Verification of the Key Assessment Indicators for the Insurance Market by Applying the Decomposition Multi-attribute Methods and Regression Analysis

The aim of the article is to determine and verify the key assessment indicators for the insurance market by applying the decomposition multi-attribute methods and regression analysis. The assessed specific indicators are qualitative indicators (insurance penetration, claim ratio) and quantitative indicators (gross premium, insurance benefit, number of insurance contracts, number of settled insurance claims, number of employees, number of commercial insurance companies, concentration of the insurance market, and more). The decomposition multi-criteria AHP method (analytic hierarchy process) and ANP method (analytic network process) based on the Saaty pair comparison approach are described, including the computation procedure. The described methods are then applied to determine the preferences of the indicators for the insurance market. Subsequently, a particular regression model is created. Our findings reveal the resulting preferences of individual indicators of the insurance market evaluation and key assessment indicators.

Aplicación de un proceso analítico jerárquico (AHP) para mejorar la gestión de inventarios en cadenas de abastecimientos

El presente estudio tiene como objetivo optimizar las ganancias de la “Distribuidora de carnes FK”, debido a la falta de stock de carne para fritada, ya que dichos productos son vendidos en alta demanda y no se lleva un buen control de su inventario. Esta problemática surge a partir de que el encargado del local no prevee la variación que podría surgir en el proceso de ventas. La carne que se vende fresca, sin necesidad de ser congelada, tendrá un mayor precio de venta que la que fue congelada. Esto conlleva que la distribuidora tenga la necesidad de implementar un sistema de inventario para poder llevar un correcto control en la planeación del abastecimiento. Y para cumplir con la finalidad del estudio se desarrolla un modelo cuya implementación incluye el uso del método multicriterio AHP, el cual nos permite escoger la mejor opción de abastecimiento, además se simula la demanda de productos del 2020 mediante simulación de Montecarlo con una distribución de probabilidad Normal tomando como referencia el volumen de ventas de los años 2017 al 2019. Los resultados demuestran que las ganancias de la carnicería aumentarían considerablemente en un 77% para el año 2020 debido a que cambió la cantidad de abastecimiento y la frecuencia del mismo.

Application of Multi-Criteria AHP and TOPSIS Methods to Assess Sustainable Development of Poviat S in West Pomeranian Voivodeship (Poland) In 2017

Application of Multi-Criteria AHP and TOPSIS Methods to Assess Sustainable Development of Poviat S in West Pomeranian Voivodeship (Poland) In 2017

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.