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Number of results: 12
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Abstract

Road construction has been an ongoing engineering practice throughout human history. Although road construction technologies have changed over time, the raw material used has not changed for centuries, and it seems that it will not change in the upcoming centuries. Although some standards are used to determine the aggregate quality in road construction works, it is often complex and laborious to identify the aggregates that best meet the standards. Long-lasting and high-quality roads can be built and the most suitable aggregate is selected for the road. This study aims to select the most suitable aggregates used in hot-mix asphalt pavement production for road construction. In this study, multi-criteria decision-making methods were used for the selection of the aggregate that provides the best conditions. Aggregates used in constructing roads within the provincial borders of Ankara are produced from six stone quarries. To rank these aggregates and determine the ideal quarry for hot-mix asphalt production, the analytical hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS) method, which are multi-criteria decision making (MCDM) methods, were used. The results obtained from the tests on aggregates and hot-mix asphalts (HMA) were compared with the the best results based on the maximum and minimum limits determined in the standards. By comparing the the best results of the standards with the test results of the aggregates, weight scores were made for each test. Weight scores were scored and classified using the AHP and TOPSIS multi-criteria decision-making methods. As a result, the aggregate with the highest score and the quarry area represented by the aggregate were determined as the most suitable for hot-mix asphalt construction.
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Authors and Affiliations

Niyazi Bilim
1
ORCID: ORCID
Hamza Güneş
2

  1. Konya Technical University, Turkey
  2. Ankara Metropolitan Municipality, Turkey
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Abstract

The problem of flood vulnerability has been reviewed in several studies, however, the reviews focused exclusively either on the social or on the physical component of the problem. The components of flood vulnerability are interdependent and each of them makes an equally important contribution to the flood vulnerability index. This study identifies and evaluates the integrated flood vulnerability index ( FVI) of an area by considering its multiple components (social, economic, and environmental). The Analytic Hierarchy Process (AHP) method was applied to evaluate the weight of each component. The evaluation was based on the judgements of experts working at local government policy- making agencies. The input data for the AHP were acquired through a questionnaire survey. Eleven indicators that delivered significant results were then selected. The FVI results show high flood vulnerability at the local scale. The FVI provides the basis for the identification of villages with high vulnerability indices. The results provide essential information about pluvial flood vulnerability at the local scale, about the area with the highest vulnerability index, and the most vulnerable villages. The results also show that the components that have a significant impact on the flood vulnerability index include environmental components (43.4%), social components (28.5%), and physical components (28.1%).
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Authors and Affiliations

Entin Hidayah
1
ORCID: ORCID
Retno Utami Agung Wiyono
1
ORCID: ORCID
Ageng Dwi Wicaksono
1

  1. University of Jember, Faculty of Engineering, Jl. Kalimantan No. 37, Tegalboto Sumbersari, Kec. Sumbersari, Kabupaten Jember, Jawa Timur 68121, Indonesia
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Abstract

Municipal solid waste collection points (MSWCPs) are places where residents of municipalities can leave their waste free of charge. MSWCPs should operate in every municipality in Poland. The Geographic Information System (GIS) and analytical hierarchy process (AHP) were used in conjunction as tools to determine potential locations of MSWCPs. Due to possible social conflicts related to the location of MSWCPs, three variants of buffer zones for a residential area were adopted. As a result of the spatial analysis carried out using the GIS software, 247 potential locations were identified in variant no. 1 (which accounted for 7.1% of commune area), 167 for variant no. 2 (6.3% of commune area), and 88 for variant no. 3 (3.8% of commune area). The most favourable locations for MSWCPs were determined using the AHP method with additional criteria for which weights were calculated as follows: the area of a designated plot (0.045), actual designation of a plot in the local spatial development plan (0.397), distance from the centre of the village (0.096) and the commune (0.231), and population density of a village (0.231). The highest weights (over 50%) in the AHP analysis were obtained for 12 locations in variant no. 3, two of which had an area over 3 ha. The adopted methodology enabled to identify quasi-optimal solutions for MSWCP locations in the analysed rural commune. This research has the potential to influence future waste management policies by assisting stakeholders in the MSWCP location.
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Authors and Affiliations

Mateusz Malinowski
1
ORCID: ORCID
Sylwia Guzdek
2
ORCID: ORCID
Agnieszka Petryk
3
ORCID: ORCID
Klaudia Tomaszek
4
ORCID: ORCID

  1. University of Agriculture in Cracow, Department of Bioprocesses Engineering, Energetics and Automatization, ul. Balicka 116b, 30-149 Kraków, Poland
  2. Cracow University of Economics, Department of Microeconomics, Kraków, Poland
  3. Cracow University of Economics, Department of Spatial Management, Kraków, Poland
  4. University of Agriculture in Cracow, Department of Mechanical Engineering and Agrophysics, Kraków, Poland
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Abstract

The main focus of this paper is to propose a method for prioritizing knowledge and technology factor of firms towards sustainable competitive advantage. The data has been gathered and analyzed from two high tech start-ups in which technology and knowledge play major role in company’s success. The analytical hierarchy model (AHP) is used to determine competitive priorities of the firms. Then knowledge and technology part of sense and respond questionnaire is used to calculate the variability coefficient i.e. the uncertainty caused by technology and knowledge factor. The proposed model is tested in terms of two start-ups. Based on the initial calculation of uncertainties, some improvement plan is proposed and the method is applied again to see if the uncertainty of knowledge and technology decreases. In both cases, the proposed model helped to have a clear and precise improvement plan and led in reduction of uncertainty.
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Authors and Affiliations

Josu Takala
Sara Tilabi
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Abstract

The paper presents the application of the Analytic Hierarchy Process technique to evaluate and choose the best alternative for acquiring hard coal for energy purposes by a potential Investor operating in the mining and energy sector. Six different sources supposed to provide hard coal were analysed, each of which might ensure a secure and independent supply of the material to the newly built coal-fired power plant. When choosing the best decision alternative, the positive and negative impacts of alternatives were considered through the BOCR analysis: benefits (B), opportunities (O), costs (C) and risks (R) analysis. For this purpose, 4 independent hierarchical models were developed. Different models have the same decision alternatives assessed, but they differ in criteria used to develop the models. In each of the models, in accordance with the AHP rules, were calculated final, global weights for the alternatives being assessed. Showing the best alternative was possible by applying the multiplicative formula (B ź O)/(C ź R), which value was used to rank and choose the best alternative from all assessed ones. The best decision alternative is the alternative where the (B ź O)/(C ź R) ratio is the highest.

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Authors and Affiliations

Eugeniusz J. Sobczyk
Aldona Wota
Stanisław Krężołek
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Abstract

This paper presents a study conducted using the Multi-Criteria Analysis (MCA) to explore surface irrigation potential zones in the Didesa sub-basin of the Abay basin in Ethiopia. Physical land features, such as land use / land cover (LULC), slope, soil depth, drainage, and road proximity, along with climate factors like rainfall and evapotranspiration, and population density, were identified as criteria for the exploration. The analytic hierarchy process (AHP) is a powerful structured decision-making technique commonly used for complex multi-criteria analysis problems where multiple criteria need to be considered. The importance of the criteria was prioritised and ranked in the analytic hierarchy process (AHP). Five qualitative-quantitative based surface irrigation potential zones were identified, namely highly suitable (48.40%), moderately suitable (27.26%), marginally suitable (13.27%), not suitable (4.91%), and irrigation constraints (6.16%). The consistency of the AHP technique in the exploration of surface irrigation potential zones is evaluated by the consistency index at CI = 0.011 and confirmed the correctness of weights assigned for the individual key factor in the AHP. The accuracy of the potential zones generated in the AHP was evaluated with ground-truth points and a supervised LULC classification map. Moreover, a good agreement was made among the classes with the kappa index ( KI = 0.93). Therefore, the application of the MCA for the exploration of surface irrigation potential zones was successful, and the results of the study will be useful to strengthen the irrigation in the explored potential zones.
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Authors and Affiliations

Habtamu Tamiru
1
ORCID: ORCID
Megersa O. Dinka
2
ORCID: ORCID

  1. Wollega University, Department of Water Resources and Irrigation Engineering, PO box 395, Nekemte, Ethiopia
  2. University of Johannesburg, Department of Civil Engineering Science, Johannesburg, South Africa
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Abstract

Land suitability assessment is an important stage in land use planning that guides the direction of optimal land use. The objective of this study was to select a suitable location for settlements in earthquake-prone areas using the integration of the Analytical Hierarchy Process (AHP) and Geographical Information System (GIS). In total, six maps were considered to determine a suitable location for settlements, namely topography, soil, geology, land cover/land use, a regional spatial planning pattern map, and an earthquake vulnerability map. The results showed that in medium earthquake-prone areas, the suitable land area which are available for settlement was 90.25 km2 (46.36% of the total land area available – 194.68 km2). Whereas in highly earthquake-prone areas, the suitable and available land area was 528.11 km2 (70.25% of the total land area in the high vulnerability zone – 751.81 km2). The research proved that AHP and GIS integration is very effective and robust for mapping land suitability in earthquake-prone areas. The results of the analysis can be used by planners to prioritize settlement development in the Sukabumi regency. The methodology developed is recommended to be applied in selecting locations for settlements in other parts of Indonesia.
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Authors and Affiliations

Wiwin Ambarwulan
1
ORCID: ORCID
Irmadi Nahib
1
ORCID: ORCID
Widiatmaka Widiatmaka
2
ORCID: ORCID
Ratna Sari Dewi
1
ORCID: ORCID
Sri Lestari Munajati
1
ORCID: ORCID
Yatin Suwarno
1
Dewayany Sutrisno
1
ORCID: ORCID
Suprajaka Suprajaka
1
ORCID: ORCID

  1. Geospatial Information Agency, Centers for Research, Promotion and Cooperation, Jl Raya Jakarta Bogor KM 46 Cibinong, Bogor, West, 16911, Bogor, Indonesia
  2. Bogor Agricultural University (IPB University), Department of Soil Science and Land Resources, Bogor, Indonesia
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Abstract

The article presents selected types of phase change materials (PCM) and their properties in terms of applications in construction and concrete technology. The purpose of using PCM is to allow the technological barrier to be exceeded in hot and dry climate conditions, enabling the construction of non-cracking concrete structures. Methodology of the multi-criteria decision-making process with the use of a relatively newdecision-making tool in construction – the Analytical Hierarchical Process (AHP) is presented. Theoretical aspects of the method and an example of its practical use for the selection of the best material variant and concrete care method in the dry Syrian climate are presented. The conclusions resulting from the presented article concern two areas, i.e. the advisability of using phase change materials for temperature regulation in the maturing fresh concrete in dry climate conditions and the attractiveness of the AHP method justifying the advisability of choosing the maintenance methods in such conditions.
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Authors and Affiliations

Mahmoud Hsino
1
ORCID: ORCID
Józef Jasiczak
2
ORCID: ORCID

  1. State University of Stanislaw Staszica in Pila, Department of Civil Engineering, 64-920 Pila, Podchorazych 10, Poland
  2. Poznan University of Technology, Institute of Building Engineering, Piotrowo 5, 60-965 Poznan
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Abstract

Successful mine planning is necessary for the sustainability of mining activities. Since this process depends on many criteria, it can be considered a multi-criteria decision making (MCDM) problem. In this study, an integrated MCDM method based on the combination of the analytic hierarchy process (AHP) and the technique for order of preference by similarity to the ideal solution (TOPSIS) is proposed to select the optimum mine planning in open-pit mines. To prove the applicability of the proposed method, a case study was carried out. Firstly, a decision-making group was created, which consists of mining, geology, planning engineers, investors, and operators. As a result of studies performed by this group, four main criteria, thirteen sub-criteria, and nine mine planning alternatives were determined. Then, AHP was applied to determine the relative weights of evaluation criteria, and TOPSIS was performed to rank the mine planning alternatives. Among the alternatives evaluated, the alternative with the highest net present value was selected as the optimum mine planning alternative. It has been determined that the proposed integrated AHP-TOPSIS method can significantly assist decision-makers in the process of deciding which of the few mine planning alternatives should be implemented in open-pit mines.
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Authors and Affiliations

Ali Can Ozdemir
1
ORCID: ORCID

  1. Çukurova University, Department of Mining Engineering, 01250, Adana, Turkey
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Abstract

The aging of composite insulators in outdoor operation for a long time has a direct impact on the safe and stable operation of the power grid. To solve this problem, fuzzy comprehensive evaluation of composite insulators based on level difference maximum is proposed. To verify the feasibility of this method, insulators in Xinjiang are sampled and the index evaluation system for composite insulators is established based on electrical, mechanical, hydrophobic and other properties, combined with operational years, geographical environment and other factors; Firstly, different membership functions are established according to index types. It is more likely to determine the grade of insulator by comparing measured data with the boundary value. Then, to solve the problem that weights cannot be effectively integrated in the combination weighting, level difference maximization is proposed (during the operation of insulators, the index which has a greater influence on the performance of insulators takes a higher proportion of the weight). Finally, on the basis of fully considering the clarity and ambiguity of grade division, the grade state of insulators is obtained by using the linear weighting method. The results show that compared with the traditional method, the improved method of the membership function and level difference maximum can realize the dynamic adjustment of the index based on the degree of information change. The method can better evaluate the insulator grade. The case study shows that the model can accurately and quickly judge the state of composite insulators, which can be used as a reference for manufacturing and maintenance departments.
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Authors and Affiliations

Sihua Wang
1
ORCID: ORCID
Long Chen
1
ORCID: ORCID
Lei Zhao
1
Junjun Wang
1

  1. Lanzhou Jiaotong University, Lanzhou, 730070, China
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Abstract

In recent years, we have been able to observe a dynamic development of MCDA (multi-criteria decision analysis) methods, which have become widely used in various sectors, including construction. These methods are characterised by simplicity and one of their key advantages is their simple modelling of non-linear dependencies within decision problems and their analysis under the conditions of incomplete, uncertain and hard-to-measure information. The universality and simple use of these methods does not, however, free the decision-maker from the necessity to adopt the proper approach to modelling and analysing specific decision problems. To highlight the fact that it is the character of the problem that should determine the selection of the method of analysing it and not the other way around, the authors assessed the AHP (Analytic Hierarchy Process) and the ANP (Analytic Network Process) method in terms of verifying the impact of the different decision model structures on analysis outcomes and analysed their sensitivity to input data changes. This analysis was based on the example of selecting a telecommunications tower footing reinforcement alternative. The findings confirmed the significant impact of decision model structure on the ranking of the analysed alternatives.
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Authors and Affiliations

Bartłomiej Szewczyk
1
ORCID: ORCID
Grzegorz Śladowski
1
ORCID: ORCID
Kamil Ratoń
2
ORCID: ORCID

  1. PhD., Eng., Cracow University of Technology, Faculty of Civil Engineering, 24 Warszawska Street, 31-155 Cracow, Poland
  2. MSc., Eng., PIB Constructor, 100/104 Balicka Street, 30-149 Cracow, Poland
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Abstract

This article introduces a groundwater vulnerability assessment model that utilises the fuzzy analytic hierarchy process (FAHP) in the Wadi AlHasa catchment, Jordan. The assessment takes into account both geomorphological and hydrogeological variables, employing a comprehensive methodology that integrates various parameters. To evaluate the catchment, the study employs remote sensing and Geographic Information System (GIS) techniques. The analysis of the digital elevation model enables the creation of a map illustrating the diverse geomorphology of the catchment. This geomorphology significantly influences drainage density, direction, and the spatial distribution and intensity of flash flood events. Moreover, the study develops and maps a fuzzy FAHP DRASTIC vulnerability index, which proves to be a valuable tool for assessing the susceptibility of groundwater resources to contamination. The unique feature of the index is its ability to incorporate uncertain or subjective data, providing a means to evaluate the significance of various influencing factors. This information serves as critical support for decision-making and management efforts geared towards safeguarding and enhancing groundwater resources. Within the study area, the DRASTIC vulnerability index values span from 0.08325 to 0.28409, with 18% of the site exhibiting a high vulnerability rate. Additionally, the article implements a managed aquifer recharge model (MAR), with 31% of the area falling into MAR classes. Among these, 22.1% are classified as a high MAR class, while 0.7% belong to a very high MAR class. These findings underscore the feasibility of MAR projects in regions with limited water resources.
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Authors and Affiliations

Alsharifa Hind Mohammad
1
ORCID: ORCID
Taleb Odeh
2
ORCID: ORCID
Mahmoud Abualhaijaa
1
ORCID: ORCID
Khaldoun Shatanawi
1 3
ORCID: ORCID
Maha Halalshe
1
ORCID: ORCID

  1. The University of Jordan, Water, Energy, and Environment Center, Queen Rania Street, 11942 Amman, Jordan
  2. The Hashemite University, Department of Water Management and Environment, Prince Al Hassan bin Talal College for Natural Resources and the Environment, P.O. Box 330127, 13133 Zarqa, Jordan
  3. The University of Jordan, School of Engineering, Queen Rania Street, 11942 Amman, Jordan

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