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1

Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process

Al-Maliki Ali, AL-Bedhany Jasim H., Mankhi Tahseen Ali, Legutko Stanislaw

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no 1

334--348

EN

Fatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears, transmission shafts, etc. The Multiple Criteria Decision-Making (MCDM) methodologies have been used in this study to assess the more effective NMI types using the Analytical Hierarchy Process (AHP) by Expert Choice (EC) software. The five most common types of non-metallic inclusions selected are oxides, sulfides, carbides, silicates, and nitrides, based on different criteria: size, shape, distribution, mechanical properties, and quantity. The results showed that the oxide NMIs are the optimum type relative to the other four options regarding the fatigue resistance of about 35%, probably due to their spherical shape and small size. The most dominant criterion is mechanical properties, which have an effective percentage of 34.6% among the other criteria. It means that the reduction of other types rather than oxide NMIs probably enhances the fatigue resistance of the steel.

2

Socio-economic factors in the event of an oil spill in the North Adriatic

Suban V., Pegan U., Demšar J., Tuljak-Suban D., Perkovič M., Bandelj V.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

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2023

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Vol. 17 No. 3

685--691

EN

Should an oil spill of tier III magnitude occur in the Northern Adriatic, there is a high probability that the oil will reach and pollute the surrounding coastline. Therefore, it is vital to conduct coastal vulnerability studies to develop priority plans and coastal vulnerability maps to help first responders protect the coastline. As there is no common contingency plan for oil spills in the Northern Adriatic, three countries, Italy, Slovenia, and Croatia, which share the area, decided to participate in the North Adriatic Incident Response System (NAMIRS) project. Part of the project was to conduct a coastal vulnerability study in the area. One of the three pillars for determining vulnerability, in addition to the ecological and geomorphological factors, is the socioeconomic aspect, which was studied as part of the research. As there are no clear scientific methods to determine the vulnerability of the socio‐economic factors, a survey was conducted where the participants gave their subjective opinion on its value. This was done through three workshops organised in each participating country, where professional stakeholders familiar with the state of socio‐economic activities assessed their vulnerability. The values obtained were combined with the assessments of the geomorphological and environmental factors and gathered in a coastal vulnerability layer, which was incorporated into a GIS as a standard coastal vulnerability map that will help first responders prioritise coastal protection. The research results will also be useful globally and not just in the area studied by NAMIRS, since the method used is readily applicable to any part of the world.

3

A Comparative Analysis of Analytical Hierarchy Process and Fuzzy Logic Modeling in Flood Susceptibility Mapping in the Assaka Watershed, Morocco

Khaddari Achraf, Jari Abdessamad, Chakiri Saïd, El Hadi Hassan, Labriki Allal, Hajaj Soufiane, Goumghar Lahcen, El Harti Abderrazak, Abioui Mohamed

Journal of Ecological Engineering

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2023

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Vol. 24, nr 8

62--83

EN

The Assaka watershed is one of the largest watersheds in the Guelmim region in southern Morocco. It is frequently exposed to the many flooding events that can be responsible for many costly human and material damages. This work illustrates a decision-making methodology based on Analytical Hierarchy Process (AHP) and Fuzzy Logic Modelling (FLM), in the order to perform a useful flood susceptibility mapping in the study area. Seven decisive factors were introduced, namely, flow accumulation, distance to the hydrographic network, elevation, slope, LULC, lithology, and rainfall. The susceptibility maps were obtained after normalization and weighting using the AHP, while after Fuzzification as well as the application of fuzzy operators (OR, SUM, PRODUCT, AND, GAMMA 0.9) for the fuzzy logic methods. Thereafter, the flood susceptibility zones were distributed into five flood intensity classes with very high, high, medium, low, and, very low susceptibility. Then validated by field observations, an inventory of flood-prone sites identified by the Draa Oued Noun Hydraulic Watershed Agency (DONHBA) with 71 carefully selected flood-prone sites and GeoEye-1 satellite images. The assessment of the mapping results using the ROC curve shows that the best results are derived from applying the fuzzy SUM (AUC = 0.901) and fuzzy OR (AUC = 0.896) operators. On the other hand, the AHP method (AUC = 0.893) shows considerable mapping results. Then, a comparison of the two methods of SUM fuzzy logic and AHP allowed considering the two techniques as complementary to each other. They can accurately model the flood susceptibility of the Assaka watershed. Specifically, this area is characterized by a high to very high risk of flooding, which was estimated at 67% and 30% of the total study area coverage using the fuzzy logic (SUM operator) and the AHP methods, respectively. Highly susceptible flood areas require immediate action in terms of planning, development, and land use management to avoid any dramatic disaster.

4

Selection of the best aggregates to be used in road construction with TOPSIS method

Bilim Ni̇yazi, Güneş Hamza

Gospodarka Surowcami Mineralnymi

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2023

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T. 39, z. 2

145--164

EN

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.

PL

Budowa dróg była stałą praktyką inżynierską w całej historii ludzkości. Choć technologie budowy dróg zmieniały się na przestrzeni dziejów, to stosowany surowiec nie zmienia się od wieków i wydaje się, że nie zmieni się w kolejnych stuleciach. Chociaż niektóre normy są stosowane do określania jakości kruszyw w robotach drogowych, to często skomplikowane i pracochłonne jest uszeregowanie kruszyw spełniających te normy. Trwałe i wysokiej jakości drogi można budować przy użyciu najodpowiedniejszego kruszywa dobranego do drogi. Niniejsze opracowanie ma na celu wybór najodpowiedniejszych kruszyw do produkcji nawierzchni asfaltowych na gorąco do budowy dróg. W niniejszym badaniu zastosowano wielokryterialne metody decyzyjne do wyboru agregatu, który zapewnia najlepsze warunki. Kruszywa wykorzystywane do budowy dróg w granicach prowincji Ankary produkowane są w sześciu kamieniołomach. Aby uszeregować te agregaty i określić idealny kamieniołom do produkcji gorącej mieszanki asfaltowej, zostały użyte: analityczny proces hierarchiczny (AHP) i technika preferencji zamówień na podstawie podobieństwa do metody idealnego rozwiązania (TOPSIS), które są metodami wielokryterialnego podejmowania decyzji (MCDM). Wyniki uzyskane z badań kruszyw i asfaltów na gorąco (HMA) porównano z najlepszymi wynikami wynikającymi z maksymalnych i minimalnych limitów określonych w normach. Porównując najlepsze wyniki wzorców z wynikami testów agregatów, dla każdego testu wykonano oceny wagowe. Oceny wagowe zostały ocenione i sklasyfikowane przy użyciu wielokryterialnych metod podejmowania decyzji, AHP i TOPSIS. W rezultacie kruszywo z najwyższą punktacją i obszar kamieniołomu reprezentowany przez kruszywo zostały uznane za najbardziej odpowiednie do budowy gorących mieszanek mineralno-asfaltowych.

5

Selection of Robot for Contour Crafting Using Analytical Hierarchy Process

Senthilraja S., Raja Muthaiah R.C.

Civil and Environmental Engineering Reports

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2023

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Vol. 33, no. 4

123--150

EN

The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.

6

Remote sensing and multi criterion analysis for identifying suitable rainwater harvesting areas

Debebe Yalembrhan, Otterpohl Ralf, Islam Zubairul

Acta Geophysica

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2023

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Vol. 71, no. 2

855--872

EN

Water scarcity and soil erosion are the main constraints small holder farmers are facing in Tigray, the northern most part of Ethiopia. Both very high and very low precipitation can cause a damage to agriculture which is the case in semi-arid regions like Tigray. While too little rainfall cannot support the growth of crops resulting in crop failure, the short but intense rainfall also causes a runoff thereby washing away essential soil nutrients. Installation of different micro/macro-catchment rainwater harvesting can address both water scarcity and soil erosion if they are properly designed prior to construction. This research was intended to develop a methodology for identifying suitable rainwater harvesting (rwh) sites by using weighted overlay analysis. It also utilizes Ahp (analytical hierarchy process) as effective multi-criterion decision-making tool in eastern Tigray at Kilte Awlaelo district on an area of 1001 km2 . This method was chosen because it is simple to use, cost effective, flexible and widely adopted. Physical, hydrological, climate and socio-economic aspects were taken into account during criteria selection. The result indicated four suitability classes with 8.74% highly suitable areas (85.25 km2 ), 56% suitable areas (550.75 km2 ), 30.8% moderately suitable areas (303.2 km2 ) and 4.46% less suitable areas (43.87 km2 ). The produced rwh suitability map was also validated by both ground truth on google earth pro and a field trip to the study site. In situ and ex situ rwh including bench terraces, wells, and enclosure areas were identified during the field visit that verified the suitability model. Finally, depending on weight and scale of criteria and sub-criteria that matched to each identified suitable areas, different micro-catchment and macro-catchment techniques of water harvesting are recommended. This methodology can be utilized as decision-making tool for rwh practitioners, local and foreign organizations working on soil water conservation programmes and policy-makers during their early planning stages.

7

Optimization of innovation features in mobile-based attendance application

Katrilia Tiya, P.W. Anggoro, P.K. Dewa

Management Systems in Production Engineering

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2022

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nr 1 (30)

18--26

EN

Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.

8

An analytical hierarchy process-based decision making for sustainable medical devices development

Kritchanchai Duangpun, Wahab Siti Norida, Tan Albert, Mak Taisy

LogForum

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2022

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Vol. 18, no. 4

481--493

EN

Background: The medical device industry needs to be sustainable and should consider the safest, trusted quality and accessibility for use when they are required for patient diagnostic procedures. This study is conducted to identify the factors influencing sustainable development of medical devices. Methods: The analytical hierarchy process (AHP) is being adopted to prioritize the influencing factors. Based on the classified criteria, the alternative factors are evaluated and compared with each other using AHP to make an optimal selection. Results: The findings show that there are six main factors and seventeen sub-factors in this study that can support the development of sustainable medical devices. This study provides useful information for the medical device supplier to improve their current and future product design toward sustainable medical device development. Conclusions: This study adds to the understanding of sustainable medical device development and its consequences on the intention to use from the consumer's perspective.

9

Delineating suitable site for settlement in potential earthquake vulnerable areas using spatial multi-criteria decision analysis in the Sukabumi regency, Indonesia

Ambarwulan Wiwin, Nahib Irmadi, Widiatmaka Widiatmaka, Dewi Ratna Sari, Munajati Sri Lestari, Suwarno Yatin, Sutrisno Dewayany, Suprajaka Suprajaka

Journal of Water and Land Development

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2022

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no. 53

10--21

EN

Land suitability assessment is an important stage in land use planning that guides the direction of optima 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.

10

AHP and GIS-Based Site Selection for a Sanitary Landfill: Case of Settat Province, Morocco

Benezzine Ghizlane, Zouhri Abdeljalil, Koulali Yahya

Journal of Ecological Engineering

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2022

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Vol. 23, nr 1

1--13

EN

In Morocco, solid household waste is often disposed of in open air in unsuitable sites, causing adverse effects on humans and the environment. In the province of Settat, there are eight uncontrolled landfills. The present study aimed to determine the most suitable sites from an environmental and economic point of view to ensure good management on a regional scale. The investigation involved a combination of a multi-criteria method (the AHP analytical hierarchy process) and a GIS geographic information system (ArcGIS) with ten criteria: distance from the ground water, water surfaces, drilling, settlements, forests, roads, highway, land use, slope, and elevation. The suitability map showed that about 18.5% of the study area is suitable for installing a sanitary landfill.

11

Use of analytical hierarchy process in dairy cattle barn site selection

Delice Hatice, Yaslıoglu Erkan

Infrastruktura i Ekologia Terenów Wiejskich

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2022

|

nr I/1

75--83

EN

The first thing to do when planning dairy cattle barns is to determine a suitable management location. Site selection is a very important decision, as it will be difficult and costly to compensate for the mistakes made after the establishment of the enterprise. Analytical Hierarchy Process (AHP), which is used in the solution of complex problems, creates a hierarchical structure in the decision-making process in the form of purpose, criteria, sub-criteria and alternatives. AHP is defined as the method of choosing the best among many alternatives. In this study, 5 main criteria (topography, land use, marketing conditions, environmental factors and infrastructure adequacy) and 20 sub-criteria were determined in order to determine suitable areas for dairy cattle barns. In order to determine the weighted values of the criteria, a total of 30 surveys were conducted with academicians who are experts in their fields, agricultural engineers working in the livestock sector and officials working on animal production in institutions.According to the results of the survey, it has been revealed that the most important criterion among the main criteria is environmental factors. Considering the paired comparison results of the sub-criteria; it was concluded that among the topography criteria, the importance levels of the slope criteria are higher than the others. Besides, land use capability among the land use criteria; milk processing potential among marketing conditions criteria; distance to settlements among environmental factors criteria; among the criteria of environmental factors, distance to settlement areas and distance to drinking water basin protection areas; among the infrastructure adequacy criteria, proximity to electricity services are higher than the others.

12

An integrated approach for supply chain risk management

Sukwadi Ronald, Caesar Alexander

Engineering Management in Production and Services

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2022

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Vol. 14, no. 1

38--48

13

Use of GIS, Remote Sensing and Analytical Hierarchy Process for Groundwater Potential Assessment in an Arid Region – A Case Study

Jari Abdessamad, Bachaoui El Mostafa, Jellouli Amine, El Harti Abderrazak, Khaddari Achraf, El Jazouli Aafaf

Ecological Engineering & Environmental Technology

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2022

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Vol. 23, iss. 5

234--255

EN

This research aims to evaluate the groundwater potentiality in the arid region “Telmzoun” located in the south of Morocco using the analytical hierarchy process (AHP) model of multi-criteria analysis in conjunction with geographic information system (GIS) and remote sensing techniques. The used methodology to generate the groundwater potential map starts with the preparation of thematic layers of different factors influencing the existence of groundwater, such as precipitation, lithology, geomorphology, lineament density, drainage density, slope, in addition to the proximity of the hydrographic network. Groundwater potential map was prepared using relative weights derived from the AHP. The results were mapped on ArcGIS 10.2 and validated using the existing borehole data and the ROC curve. The accuracy of the generated map reached over 70%. It represents five classes of groundwater potential that are as follows: very high potential areas consisting of 10.5% (2.14 km2), high potential representing a rate of 27.2% (5.53 km2), moderate potential areas consisting of 30% (6.06 km2), low potential 20.5% (4.17 km2) and very low potential areas showing a rate of 11.8% (2.40 km2) of the total study area. The results obtained are satisfactory and consist of a guide map to be used effectively in direct future groundwater exploration campaigns and to minimize various field costs.

14

Decision-Making Process Development for Industry 4.0 Transformation

Sajjad Ahmad, Ahmad Wasim, Hussain Sulman

Advances in Science and Technology. Research Journal

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2022

|

Vol. 16, no 3

1--11

EN

Development of design characteristics based dynamic decision support framework is presented in the current study, to facilitate the decision makers in the transformation of system in the industry 4.0 paradigm. The model development is designed for a robust decision-making approach to integrating human and machine knowledge to adopt smart technologies and system design. The system is based on prioritization of the industry 4.0 design principles and characteristics including flexibility, self-adaptability, self-reconfigurability, context awareness, decision autonomy, and real-time capabilities. It has been revealed from an industrial field study, the companies facing difficulty to transform the system, and systematics approach needed to overcome the challenge. A decision support process has been developed as an integrated approach to embedding human knowledge. The developed process has been validated using Technique for Order of Preference by Similarity to Ideal Solution, the results depict the operational flexibility, has been most crucial transformation characteristics prioritized using the Analytical Hierarchical Process. The developed process has the capability to help the system development and estimate the factors involved in the transformation.

15

Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Türkiye

Yilmaz Osman Salih

Acta Geophysica

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2022

|

Vol. 70, no 6

2747--2769

EN

Global climate change brings with it various natural disasters. In particular, natural disasters such as foods destroy nature and human resources. The food disaster in Kastamonu province, primarily striking Bozkurt district and many other districts in Türkiye on August 11, 2021, causing both life and material losses, has been one of the most devastating disasters in the Black Sea region. In this study, various geospatial and statistical methods were used to produce food hazard susceptibility maps of Kastamonu province. In order to evaluate the food risk in Kastamonu, eleven different variables, i.e. rainfall, slope, elevation, distance from stream, land-use-land cover, lithology, curvature plan, curvature profile, Topographic Wetness Index, Stream Power Index and Normalised Differences Vegetation Index were used. Flooded areas were determined by the Modified Normalised Water Index (MNDWI) on the Google Earth Engine platform using Remote Sensing techniques. Flood points determined on the calculated MNDWI image are divided into 70% training and 30% testing dataset. Geographical Information Systems-based Analytical Hierarchy Process (AHP), Frequency Ratio (FR), and ensemble AHP-FR were used in the creation of food hazard susceptibility maps. The maps were divided into five classes: very low, low, moderate, high, and very high. On the map classified using AHP-FR, areas in high and very high sensitivity classes were calculated as 128.72 km2 and 6.89 km2 , respectively. These calculated areas constitute 0.99% and 0.05% of the entire region. On the other hand, part of Kastamonu province with an area of 484.07 km2 was determined as a moderate-risk area. This area covers 3.71% of the entire province. The remaining part of the province, with an area of 8729.39 km2 and 3697.30 km2 , is classified as very low and low, respectively. These areas cover 66.91% and 28.34% of the entire province, respectively. The study’s accuracy was tested using the receiver operating characteristic curves method. Area under curve values for AHP, FR, and AHP-FR were calculated as 0.965, 0.989, and 0.992, respectively. According to these values, using the AHP-FR ensemble gave more successful results than the other two methods.

16

Development of the flood vulnerability index using a multi-element approach

Hidayah Entin, Agung Wiyono Retno Utami, Wicaksono Ageng Dwi

Journal of Water and Land Development

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2021

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no. 50

255--264

EN

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%).

17

A GIS and AHP-based approach to determine potential locations of municipal solid waste collection points in rural areas

Malinowski Mateusz, Guzdek Sylwia, Petryk Agnieszka, Tomaszek Klaudia

Journal of Water and Land Development

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2021

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no. 51

94--101

EN

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.

18

Wybór wariantu czasowej organizacji ruchu - preferencje organów zarządzających ruchem a preferencje wykonawców z branży drogowej

Prałat Karol, Dobaczewska Wioletta

Builder

|

2021

|

R.25, nr 1

19--21

PL

Na podstawie preferencji organów zarządzających ruchem autorzy przeanalizowali problem decyzyjny polegający na wyborze wariantu czasowej organizacji ruchu w przypadku, gdy technologia robót drogowych umożliwia wykonanie ich połówkowo lub przy całkowitym zamknięciu ulicy. Analizę wykonano za pomocą metody hierarchicznej AHP. Preferencje organów zarządzających ruchem porównano z preferencjami wykonawców działających w branży drogowej.

EN

Base on the preferences of traffic management institutions, the authors analyzed the decision problem consisting in the selection of the variant of temporary traffic organization in the case when road works technology enables their execution in half or with complete street closure. The analyze was performed by using the Analytical Hierarchy Process. The preferences of traffic management bodies were compared with the preferences of contractors operating in the road engineering.

19

Impact of decision model structure on the selection of a telecommunications tower footing reinforcement alternative

Szewczyk Bartłomiej, Śladowski Grzegorz, Ratoń Kamil

Archives of Civil Engineering

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2021

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Vol. 67, nr 2

309--321

EN

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.

PL

W ostatnich latach można zauważyć dynamiczny rozwój metod MCDA (multi-criteria decision analysis), które znalazły powszechne zastosowanie także w budownictwie. Metody te cechuje prostota, a ich istotną zaletą jest łatwe modelowanie nieliniowych zależności w problemach decyzyjnych oraz ich analiza w warunkach niepełnej, niepewnej i trudno mierzalnej informacji. Autorzy niniejszego artykułu przeanalizowali specyfikę dwóch popularnych i uznanych metod wielokryterialnego wspomagania decyzji: metody AHP (Analytic Hierarchy Process) i ANP (Analytic Network Process). Przedmiotem oceny tych dwóch metod jest zagadnienie tzw. strukturyzacji problemu w formie modelu decyzyjnego, która determinuje charakter jego analizy. Ponieważ w praktyce wielu decydentów nie przywiązuje wagi do strukturyzacji problemu, w ramach stosowania w/w metod autorzy swoje rozważania na ten temat oparli na praktycznym przykładzie wyboru wariantu wzmocnienia posadowienia wieży telekomunikacyjnej stanowiącej część Radiowej Stacji Bazowej (RBS) Wierzbięcice w gminie Nysa na terenie Polski. W związku z planowaną modernizacją stacji bazowej i związaną z tym rozbudową infrastruktury antenowej na wieży i zwiększeniem obciążeń zalecono wykonanie wzmocnienia trzonu wieży oraz jej fundamentów. Analizie poddane zostały następujące warianty wzmocnienia fundamentu: V1 dodatkowe stopy fundamentowe, V2 mikropale, V3 płyta żelbetowa. Do oceny wariantów przyjęto siedem kryteriów decyzyjnych: C1 czas wykonania, C2 grunt do wywiezienia, C3 ilość potrzebnego sprzętu, C4 koszt, C5 stabilizacja tymczasowa, C6 stopień skomplikowania robót, C7 wymagania formalno-prawne. Celem przeprowadzonej analizy było ukazanie wpływu struktury modelu decyzyjnego na wybór optymalnego rozwiązania problemu decyzyjnego w świetle przyjętych kryteriów.

20

An AHP-based Decision Support System for Personnel Selection for Manager Position in Businesses

Calp Muhammed Hanefi, Agarwal Shivani

Annals of Computer Science and Information Systems

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2021

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Vol. 28

1--7

EN

Humanity is one of the most important resources for businesses. Because, with human resources, the data of the institution can be obtained and information can be produced by processing. Thus, human resources make the business a learning and dynamic organization and ensure its continuity. In enterprises, personnel selection (in terms of quantity or quality) is carried out within the scope of Human Resources Management. This selection process usually takes place when a group of decision makers evaluates the candidates according to some criteria and their own opinions. However, this situation prevents an objective and fair selection. For this reason, in this study, a decision support system (DSS) has been developed by using the Analytical Hierarchy Process (AHP), one of the Multi-Criteria Decision Making (MCDM) methods, to ensure objectivity and to select the most suitable personnel for the job description. The said DSS provides the selection of the marketing manager among the personnel working in an enterprise. For this, the 10 employees working in the marketing department of the enterprise for the longest time were taken into account. When the results are examined, it is seen that the most qualified personnel can be selected successfully in cases where customer satisfaction, performance value and number of projects are prioritized