Application Of Multi-criteria Analysis Research Articles

Suitable Site Selection of Public Charging Stations: A Fuzzy TOPSIS MCDA Framework on Capacity Substation Assessment

The number of electric vehicles (EVs) continues to increase in the automobile market, driven by public policies since they contribute to the global decarbonization of the transportation sector. Still, the main challenge to increasing EV adoption is charging infrastructure. Therefore, the site selection of public EV charging stations should be made very carefully to maximize EV usage and address the population’s range anxiety. Since electricity demand for charging EVs introduces new load shapes, the interrelationship between the location of charging stations and long-term electrical grid planning must be addressed. The selection of the most suitable site involves conflicting criteria, requiring the application of multi-criteria analysis. Thus, a geographic information system-based Multicriteria Decision Analysis (MCDA) approach is applied in this work to address the charging station site selection, where the demographic criteria and energy density are taken into account to formulate an EV increase model. Several methods, including Fuzzy TOPSIS, are applied to validate the selection of suitable sites. In this evaluation, the impact of the EV charging station on the substation capacity is assessed through a high EV penetration scenario. The proposed method is applied in Cuenca, Ecuador. Results show the effectiveness of MCDA in assessing the impact of charging stations on power distribution systems ensuring suitable system operation under substation capacity reserves.

Application of multi-criteria analysis in the selection of formwork material for high-rise building construction projects

Application of multi-criteria analysis in the selection of formwork material for high-rise building construction projects

Prioritization of areas for irrigation in the central-west region of the Tocantins-Araguaia Basin, Brazil: a multicriteria approach

This article aimed to identify most suitable areas for the implementation of irrigation systems in the Midwest portion of the Tocantins-Araguaia Basin, through the application of Multicriteria Analysis, based on the socioeconomic indicators of the 178 municipalities that make up this region. Methodologically, based on bibliographic and documentary research, socioeconomic indicators, were selected, in a range that would allow an economic, demographic, social and environmental characterization of the basin and, at the same time, delimit areas suitable for projects of irrigation, through interviews with experts of the field of irrigation and multi-criteria analysis. The results showed that the basin has 29.2% of its area restricted to the implementation of irrigation systems; on the other hand, more than 70% of the basin area had high and very high suitability class. It is concluded that the multicriteria analysis method was satisfactory for this study, facilitating decision-making, in line with the objectives of the National Irrigation Policy, that aim to promote local and regional development, with priority for regions with low indicators social and economic.

GIS and Multicriteria Analysis Application on Suitable Site Selection for Municipal Solid Waste Transfer Station in Greater Monrovia, Liberia

The inability of existing transfer stations in Greater Monrovia, Liberia, to handle municipal solid waste collected daily from designated collection points for temporary storage and final disposal has resulted in a number of issues such as abandonment of overfilled skip buckets and reinforced concrete bins, indiscriminate waste disposal into drainages, along roadside, river banks, and so on. This situation has also resulted in a number of negative consequences, including environmental degradation, public health concerns, depreciation of the value of adjacent properties, and decrease in the quality of life of the population. The local authorities have made relentless efforts to secure funding through its international partners to construct a well-designed municipal solid waste transfer station, However, due to the study area's topographic complexities, it is difficult for them to select an ideal site for a municipal solid waste transfer station to collect waste from designated and illegal collection points on time. To solve this issue, the research will analyze and identify potential sites while keeping the environment and population within the study area in mind. The research employs a comprehensive evaluation of multiple factors, including lithology, slope, drainage density and land use through GIS tool like Analytic Hierarchy Process (AHP) to identify potential sites that meets sustainable waste management’s requirements. The results showed that 43% of the study area is not suitable, 20% is least suitable, 20% is moderately suitable, 11% is suitable and 6% highly suitable for an environmentally-friendly transfer station. Central Monrovia A and B, and Northwest of Paynesville are areas identified to be suitable for municipal solid waste transfer station.

Statistical downscaling of sea levels: application of multi-criteria analysis for selection of global climate models.

Sea level rise is one of the serious aftermaths of global warming on the hydrosphere. The scientific community often depends on global climate models (GCMs) for projection of future sea levels. Numerous GCMs are available; thus, selecting the most appropriate GCM/GCMs is a critical task to be performed prior to downscaling. In this study, multi-criteria decision-making (MCDM) techniques, namely, Preference Ranking Organisation Method of Enrichment Evaluation (PROMETHEE-II), Elimination Et Choice Translating Reality (ELECTRE-II), and compromise programming, were used to identify appropriate GCMs whose projections can be used to downscale sea level projections at Ernakulam, Kerala, India. Support vector machine was employed to statistically downscale the sea level projections from the projections of GCMs. Five statistical metrics, namely, correlation coefficient ([Formula: see text]), normalized root mean square error, absolute normalized average bias, mean absolute relative error, and skill score, were adopted in this study as the performance criteria. The weightage of each criterion was computed using the entropy method. Six GCMs (GISS-E2-H, CanESM2, ACCESS1-0, CNRM-CM5, GFDL-CM3, and CMCC-CM) were considered for the analysis based on the availability of predictors. GISS-E2-H, CanESM2, and ACCESS1-0 occupied the first three positions respectively in all three MCDM techniques.

Identification of Key Factors for Urban—Industrial Water Reuse: A Multi-Criteria Analysis Case Study

The industrial reuse of existing municipal wastewater treatment plant (WWTP) effluent can play a major role in improving water security in urbanized regions facing scarcity. As the complexity of engineered direct water reuse is related to various economic, technical, legal, social, environmental, and public health aspects, multi-criteria analysis (MCA) is a feasible decision-making tool in this context. The present work aimed to establish the relevant key factors for the application of MCA, wherever plant planning, design, and construction did not previously consider reuse practices. The adopted methodology considers the proposition and valuation of key criteria, based on the existing literature, expert consultations, statistical analysis, and the application of MCA to a real municipal WWTP located in Campinas city (São Paulo State, Brazil). The 13 proposed criteria encompass multiple categories, and their relevance is demonstrated, given the high significance frequencies assigned. The best values are related to effluent quality, health risks, and treatment reliability, in addition to environmental costs and benefits. The application of those criteria in Cooperative Game Theory (CGT) and Compromise Programming (CP) methods is proved to be suitable, considering the characteristics of the studied area (i.e., highly urbanized with a history of water scarcity). Among nine surveyed end-users, the first position in the hierarchy corresponds to the largest industries with the shortest distance from the WWTP.

The Assessment of COVID-19 Vulnerability Risk for Crisis Management

The subject of this article is to determine COVID-19 vulnerability risk and its change over time in association with the state health care system, turnover, and transport to support the crisis management decision-making process. The aim was to determine the COVID-19 Vulnerability Index (CVI) based on the selected criteria. The risk assessment was carried out with methodology that includes the application of multicriteria analysis and spatiotemporal aspect of available data. Particularly the Spatial Multicriteria Analysis (SMCA) compliant with the Analytical Hierarchy Process (AHP), which incorporated selected population and environmental criteria were used to analyse the ongoing pandemic situation. The influence of combining several factors in the pandemic situation analysis was illustrated. Furthermore, the static and dynamic factors to COVID-19 vulnerability risk were determined to prevent and control the spread of COVID-19 at the early stage of the pandemic situation. As a result, areas with a certain level of risk in different periods of time were determined. Furthermore, the number of people exposed to COVID-19 vulnerability risk in time was presented. These results can support the decision-making process by showing the area where preventive actions should be considered.

Disposal of government offices in Jakarta pending relocation of the Indonesian capital: an application of multi-criteria analysis

PurposeThis article develops a viable means of assessment of the suitability for disposal of hundreds of national government offices in Jakarta as a facet of the relocation of Indonesia's capital from Java to Borneo.Design/methodology/approachA “disposal assessment model”, based on multi-criteria analysis (MCA) and a bespoke model of office adaptation, is constructed and applied to the population of to-be-vacated public office buildings in Jakarta.FindingsIn this initial demonstration mode, the disposal assessment model is tested on a live dataset and found able not only to rank buildings for disposal against stated objectives but also to incorporate more complex variables and lead into other forms of business analysis.Practical implicationsA fit-for-purpose model is shown capable of assisting decision-makers involved in major asset disposal, while also accounting for the stances of project stakeholders.Social implicationsThe model offers the possibility to evaluate and, likely, optimise net social benefit for Jakarta and Indonesia both quantitatively and qualitatively.Originality/valueThe disposal assessment model builds on prior work in operations research and property management to develop a new construct applicable to a novel asset issue of massive proportions.

Използване на V-AHP модел за вземане на стратегически решения в земеделските предприятия

Strategic decision-making in organizations is related to assessing the impact of many factors. Often such decisions are made intuitively by the management, or on the basis of its experience and expectations for the development of the sector in which they operate and the market. The use of multi-criteria analysis methods can help to achieve objectivity in making these decisions, as well as to quantify the various alternatives faced by the business. A barrier to the application of multicriteria analysis is its relative complexity, especially in the context of small and medium-sized agricultural enterprises. This publication presents two farm management models that are evaluated and analyzed using the AHP and V-AHP methods. The presented article provides a relatively simple toolkit which farmers can use to make management decisions for their farm.

Multicriteria analysis of the effectiveness of high-speed rails construction projects: case study of the Czech Republic

This article seeks to evaluate the effectiveness of planned public construction projects of high-speed rails in the Czech Republic through the application of multicriteria analysis. In line with the nature of the projects, the developed original evaluation methodology places the main emphasis on the potential production of positive effects and on minimizing adverse effects. It includes criteria for integration, relevance, usefulness, stimulation, and sustainability. In this context, article provides synthesized information on the factual focus and geographical and practical context of application of the criteria used, and further on the results of the comparative evaluation of the four main planned high-speed routes. The acquired knowledge is subsequently discussed from the point of view of the most important stakeholders, interpreted through relevant scenarios, i.e. investor, business, and civic scenarios. URL: https://www.gcass.science.upjs.sk/

Green recovery in the mature manufacturing industry: The role of the green-circular premium and sustainability certification in innovative efforts

Sustainability is an essential goal for companies to pursue alongside their efforts to cope with a period of economic crisis and uncertainty. Technologically mature manufacturing sectors need to preserve their competitiveness, and process and product innovation may no longer be sufficient to stimulate demand. Strategic innovation is one possible option to address this challenge. However, methods to implement this new paradigm are still underexplored. This paper analyzes the Italian and Spanish ceramic tile industries as a prime example of process digitalization and environmental practices in the European manufacturing context. Through the application of multi-criteria analysis, this study aims to investigate the possibilities provided by strategic innovation to companies in this sector, in order to be able to compete with producers in emerging countries who use price strategies as the only lever of their competitiveness. To this end, dimensions relating to operations, market, economy, society and the environment are considered herein. Our results show that the multidimensionality of industrial organizations should stimulate manufacturing firms not only to look at customer needs from a price point of view, but to commit to including social and environmental attributes in their products, such as the green-circular premium and sustainability certification. These two practices represent strategic innovation. This presents a complex challenge involving widespread change that concerns entrepreneurship, management and industrial policies.

Remote Academic Platforms in Times of a Pandemic

The pandemic has accelerated the use and development of video conferenc-ing platforms due to COVID-19, and it is necessary to find an application that best suits our requirements. This article evaluates nine features of nine video conferencing applications to find the best choice. A detailed analysis has been conducted in this article using surveys to collect data from two samples at national and international level. The methodology followed is the CDIO methodology, a tool to address complex problems in four stages: conception, design, implementation, and operation. The primary aim of this paper is to examine which is the best livestreaming option according to the selected criteria, using, as references, well-known applications such as Jitsi, Zoom, Microsoft Teams, Google Meet, Big Blue Button, among others. An application of multicriteria analysis is also shown to support the evalua-tion of these platforms compared to the established criteria.

Application of Multi-Criteria Analysis selecting the most effective Climate change adaptation measures and investments in the Italian context

In the context of climate change, one of the EU’s major political efforts focus on water management. Public investment is carried out considering several drivers, from economic development to demographics, climate, and pollutants. Meanwhile, the need for evaluation methods is also increasing, so their development has grown in recent years. Among these, Multi-Criteria Analysis methodologies (MCA) have taken on great importance. This work aims to demonstrate the usefulness of MCA in addressing crucial environmental issues, such as the use of water resources for agricultural and food production. The document presents an application of MCA for the ranking and selection of projects to be financed under the Italian National Plan on Water Resources. The Plan is part of the national initiatives planned for the adaptation of the agricultural sector to climate change. The selection criteria have been identified following a participatory approach, and to respond to both the challenge of climate change and the limited availability of funds. MCA is used to select the best projects to be financed with the available amount. The Italian experience confirms the effectiveness of MCA and highlights how the involvement of both decision makers and stakeholders is necessary for a successful application of MCA to environmental issues.

Application of Multi-Criteria Analysis on Theatres’ Efficiency – Czech and Polish Comparative Case Studies

Institutions (theatres) evaluated in this paper are mediators of an unrepeatable interpretive art and they need funds from public resources of different government levels to ensure their activities. The aim of the present paper is to evaluate the efficiency of theatre management of 93 evaluated public theatres in the Czech Republic and Poland through 11 indicators. The evaluated weights of chosen indicators were determined by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), in combination with the chosen objective method for determining the importance of indicators. From the results it is evident that big multi-genre theatres producing more genres of interpretive art (drama, opera, ballet, musical) with a bigger number of employees had the worst results in both states.

The Development of the Smart Cities in the Connected and Autonomous Vehicles (CAVs) Era: From Mobility Patterns to Scaling in Cities

Smart cities aim to integrate technological development with different functions/components such as mobility, management of energy, natural resources, water, and the waste cycle, air quality, land use, service network, construction, but also the economy, social participation, increased employment, and citizen safety. It includes a series of coordinated and integrated social, environmental and economic interventions to enhance human capital, reduce environmental impacts and solve ecological emergencies. The holistic approach is particular to smart cities, including several mobility aspects in the main European classifications. In particular, the development of smart cities depends on several factors related to transport supply (i.e., mobility service, infrastructure details, ICT) and demand (socio-demographic aspects), and the size of the city. This paper provides an overview of the development of smart cities by defining a methodology that allows the identification of criteria for determining the optimisation of urban mobility with a particular interest in the development of future autonomous mobility. The analysis of current literature on the concept of smart cities and new mobility technologies made it possible to analyse the compatibility between them and possible criticalities. The definition of criteria lays the groundwork for future research steps focused on the application of multicriteria analysis.

Multicriteria Analysis of Alternative Marine Fuels in Sustainable Coastal Marine Traffic

Marine transportation is considered to be one of the most important aspects of global transportation services. Due to the increase in marine transportation, there are significant impacts on the marine environment. One of the possible measures for mitigation of the environmental impact could be switching to environmentally friendly fuel. However, the alternative fuel selection process is considered to be a problem due to various criteria to be considered and stakeholders that should be involved in the selection process. The aim of this paper is to demonstrate the application of multicriteria analysis as a decision-support tool for the alternative marine fuel selection problem in coastal marine traffic. The suggested methodology takes into account environmental, technological, and economic aspects, and ensures the participation of different stakeholders in the selection process. The priority ranking of the alternatives is based on a combination of the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The implementation of this method considers the involvement of relevant stakeholders through evaluation of the criteria weights and performance of each alternative with respect to each criterion. The method is applied for the case study of Croatia, where the results demonstrated that the best alternative for all stakeholders is electric propulsion, even though there are differences in opinions and perceptions with respect to the objectives and criteria. The findings of this analysis, likely the first of this type in this area, can serve as a solid basis for strategic planning.

Application of multi-criteria analysis for the introduction of green port management practices: an evaluation of energy efficient mobility in nautical ports

Application of multi-criteria analysis for the introduction of green port management practices: an evaluation of energy efficient mobility in nautical ports

Enhancing Urban Resilience Capacities: An Analytic Network Process-based Application

Abstract The current urban challenge is enhancing, maintaining and improving the urban resilience of cities. However, how can cities as complex and adaptive systems be or become resilient? There are specific capacities/qualities that urban systems should have to enhance and maintain their resilience (e.g. redundancy, resourceful, robustness, etc.). Different studies list and describe these capacities in literature, underling also to which urban dimension (e.g. economy, society) they are referred. However, there is a lack of quantitative assessment of these capacities. As well, the analysis of which degree different urban components can enhance and maintain these capacities. Based on the socio-ecological approach of urban resilience, this study proposes the application of multicriteria analysis (MCA) to evaluate which degree the different urban components can support the enhancement and the maintenance of the specific urban resilience capacities. The proposed framework is an indicators-based method that includes a multidimensional set of urban resilience indicators and the set of urban resilience capacities. In detail, the Analytic Network Process (ANP) has been selected according to its ability to consider the mutual interconnections of the evaluation elements. Moreover, a multidisciplinary panel of experts is asked to weigh the importance of the different urban components in enriching the different urban resilience qualities. The final result is a set of priorities that assess the relative importance of each urban component about a specific urban resilience capacity. The illustrated application is a preliminary pilot case study that quantifies the possibility of quantitatively assessing the urban resilience capacities. In detail, this application refers to a more complex and comprehensive evaluation approach that combines MCA with the System Dynamics Approach (SDM). Therefore, the next step of this research will concern the aggregation and the employment of the obtained priorities in the abovementioned approach to correlate the urban resilience performance with the urban capacities.

Application of Multi-Criteria Analysis of Determining Sea Port Development Models in the Spatial Concept of a Town, Based on the Example of the Town of Rovinj

Application of Multi-Criteria Analysis of Determining Sea Port Development Models in the Spatial Concept of a Town, Based on the Example of the Town of Rovinj

Supplier ranking in the Public Company for Underground Coal Exploitation Resavica in an aspect of delivery

The aim of this paper is to show the application of multi-criteria analysis (PROMETHEE method) in the selection of suppliers that operate in the mining systems, specifically in the Public Company for the Underground Exploitation of Coal Resavica (PCUEC Resavica)-Serbia. The company ranking was done in terms of delivery according to five criteria. The criteria cover the most prominent aspects of the delivery management of suppliers. Accordingly, 5 suppliers were taken into consideration. In the ranking process the expert knowledge of specialists from the PCUEC Resavica was used. Firstly, the determination of importance and impact of certain criteria to the process of supplier selection was done, and after that the assessment of suppliers according to each criterion is performed by the company experts. The PROMETHEE method is used for the final ranking of suppliers. The obtained results show that the applied combined method gives the excellent results and it can be used for solving a large scale of complex problems in mining systems.