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1

A Novel Scale for Inconsistency Reduction in the Pair-Wise Comparison Matrices

MalyadaVommi Amukta, Vommi Vijaya babu

Foundations of Computing and Decision Sciences

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2025

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Vol. 50, No. 1

87--114

EN

Linguistic pairwise comparison of the attributes forms the basis for prioritization of the attributes and also aids in calculating the weights for each attribute for final decision making in the Analytical Hierarchy Process (AHP). This process may sometimes lead to inconsistencies in the pairwise comparison matrix, and the acceptability of the method is checked with respect to a measure known as Consistency Ratio (CR), whose upper limit is fixed as 0.1. The present work attempts to develop a new methodology in which the pairwise attribute comparison matrix is formed in such a manner that the decision maker can safely eliminate the process of consistency check. In this endeavor, a new scale called as 'Relative Percentage Supremacy' (RPS) scale with three variations namely, High, Moderate and Low is introduced and employed. The proposed methodology is successfully applied to Saaty's ‘Distance’, 'Optics', 'National Wealth' and 'Weights Estimation' problems for which the actual weights are available. Also, the method has been applied on Saaty's 'Buying a House' problem and a comparison of the results with the results of already existing scales is done. The Relative Percentage Supremacy scale with Moderate value is found to yield results close to the Saaty's actual values in the majority of the time and the applicability of the other variations are also discussed.

2

Evaluation of the factors determining thermal comfort and occupational health conditions of employees in multi-storey business buildings in the light of expert experiences

Cal Murat, Yilmaz Fatih

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2025

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Vol. 73, nr 1

art. no. e152215

EN

Previous studies generally focused on the indoor temperature of buildings and air supplies to their environment. The effect of outdoor pollutants on thermal conditions has also attracted some interest in recent years. However, the number of studies on other factors that may potentially affect thermal comfort and health in high-rise buildings is limited. A structured analytical hierarchy process and an improved data envelopment analysis method are used in this study to determine the indoor and outdoor spatial features and climatic effects that influence thermal comfort in multi-storey business buildings. The impact levels of these factors on thermal conditions are determined with heuristic algorithms. Further, two climate zones in two countries are compared in terms of the factors that affect thermal comfort and their individual impact levels. The most critical criterion for Kuwait is external insulation features, whereas for Turkey it is indoor air conditioning. The most critical sub-criterion is temperature for Kuwait, whereas for Turkey it is insufficient heat and light insulation of windows. Data envelopment analysis yields that respiratory health diseases are the most critical effect in Kuwait, and work accidents are the most important effect in Turkey. Temperature and humidity play a significant role in thermal comfort in Kuwait. Insulation and air conditioning are crucial factors in thermal comfort conditions in Turkey.

3

Application of the analytic hierarchy process-fuzzy comprehensive evaluation method to assess the quality of electrophoresis on heavy-duty vehicle frames

Zhu Zi-Cheng, Chu Wei-Jun

Advances in Science and Technology. Research Journal

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2025

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Vol. 19, no. 1

363--370

EN

The evaluation methods used to examine the quality of electrophoresis painting applied to heavy-duty vehicle frames in the automotive industry are not comprehensive. Therefore, this investigation presents such a method based on the present manufacturing situation concerning the electrophoresis process for frames, using an evaluation index system designed for frame electrophoresis quality management. Based on the previous literature, the analytic hierarchy processand the fuzzy evaluation method are employed in this study for the evaluation. Per the principle of maximum membership, we assessed the production quality of heavy-duty vehicle frames. The presentation quality was deemed “average,” while the paint film quality, corrosion resistance was good, and comprehensive evaluation grade were found to be “good.”. Together, these results contribute to the state of the art by facilitating an accurate evaluation of the quality of vehicle frame electrophoresis, improving the electrophoresis process for heavy-duty vehicle frames.

4

Sustainable multi-criteria decision port development framework

Županović Dino, Gundić Ana, Zekić Astrid, Mavra Tomislav

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

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2024

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Vol. 18 No. 4

831--845

EN

The specific features of various ports create difficulties for county port authorities in Zadar County and other coastal regions of Croatia in effectively performing daily tasks like managing, maintaining, constructing, and operating ports. The reason for this is the increased presence of various elements that directly affect decision-making regarding the port's progress. Therefore, it has been acknowledged that it is necessary to establish a methodology that allows decision-makers (county port authorities) to make objective decisions regarding the future direction of port development. This article presents a methodology proposal based on the AHP (Analytical Hierarchy Process) method of multi-criteria decision-making. When determining the methodology, special attention was paid to the decision-makers, who were found to possess specific professional knowledge in their activity but rarely possess prior expertise in multi-criteria decision-making. Hence, it was crucial to establish a methodology that would be both straightforward and suitable for adoption by decision-makers themselves. The AHP method, aided by a wide range of easily accessible and even cost-free tools, facilitates this through its visual representation of goals, criteria, sub-criteria, interconnections, and subsequent outcomes. This approach ensures the feasibility of ongoing monitoring throughout the decision-making process. Ultimately, the proposed methodology was verified on the examples of five port areas based on conducted empirical research, which, with their properties, satisfy different directions of development. At the same time, the obtained results confirm its applicability.

5

Selecting a sustainable array of machinery by integrating analytic hierarchy process with gray relational analysis

Kenarsari Hamidreza Qane’ei, Banaeian Narges, Khani Mahdi

Operations Research and Decisions

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2024

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Vol. 34, No. 2

109--119

EN

One of the key factors that contribute to the proper growth and development of agricultural mechanization is the selection of a sustainable combination of agricultural machinery. This study aims to evaluate and select a sustainable combination of agricultural machinery for rice cultivation in a specific region using hybrid decision-making of AHP-fuzzy GRA methods. First, the agricultural operation program and related types of agricultural machinery applied in the region were investigated. Then several sub-criteria were selected for the selection process, in three main criteria (economic, social, and environmental) using literature, chosen by Delphi scores and weighted by pairwise comparison. Finally, available machinery options for each operation were ranked using fuzzy gray relational analysis. Results showed that hybrid methods are powerful tools for solving similar problems confronted with qualitative and quantitative criteria.

6

How to know it is “the one”? : selecting the most suitable solution from the Pareto optimal set : application to sectorization

Öztürk Elif Göksu, Rodrigues Ana Maria, Ferreira José Soeiro, Oliveira Cristina Teles

Operations Research and Decisions

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2024

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Vol. 34, No. 1

211--232

EN

Multi-objective optimization (MOO) considers several objectives to find a feasible set of solutions. Selecting a solution from Pareto frontier (PF) solutions requires further effort. This work proposes a new classification procedure that fits into the analytic hierarchy Process (AHP) to pick the best solution. The method classifies PF solutions using pairwise comparison matrices for each objective. Sectorization is the problem of splitting a region into smaller sectors based on multiple objectives. The efficacy of the proposed method is tested in such problems using our instances and real data from a Portuguese delivery company. A non-dominated sorting genetic algorithm (NSGA-II) is used to obtain PF solutions based on three objectives. The proposed method rapidly selects an appropriate solution. The method was assessed by comparing it with a method based on a weighted composite single-objective function.

7

Decision-makers’ behavioral characteristics and multiple criteria decision-aiding : impact of decision-making style and experience on methods’ use, evaluation, and recommendation

Wachowicz Tomasz, Roszkowska Ewa, Filipowicz-Chomko Marzena

Operations Research and Decisions

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2024

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Vol. 34, No. 3

287--323

EN

The study aims to identify relationships among selected behavioral characteristics of decision-makers (DMs), i.e., experience in making complex decisions, decision-making style, and ability to use various multiple criteria decision-aiding (MCDA) methods coherently, and their impact on the evaluation of the latter functionality and recommendations for future use. The relationships were verified using experimental data through a structural equation model (SEM) and cluster analysis for three MCDA methods, i.e., AHP, SMART, and TOPSIS. One of the strongest effects identified by SEM was observed between coherence in methods’ use and the DM’s opinion on their functionality. DM’s satisfaction and future willingness to use MCDA tools are related to the positive experience gained from using these tools in advance. Decision-making styles shape method selection, with TOPSIS favored by highly experienced DMs, SMART by highly rational, and AHP by those with low experience and a rational approach.

8

Developing a Hybrid Method of Analytical Hierarchy Process and Additive Ratio Assessment for Ranking Suppliers: A Case Study of an Indonesian Concrete Manufacturing Company

Ristono Agus, Wahyuningsih Tri, Madyno Putro Gunawan

Management and Production Engineering Review

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2024

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Vol. 15, No. 4

1--12

EN

Indonesia is developing its infrastructure to remain competitive in the global market, focusing on projects such as the construction of toll roads and bridges, which require large volumes of precast concrete products. Accordingly, it is important to focus on the quality of suppliers so that the products meet the requirements of companies and consumers. This case study aimed to develop a proposed model for ranking suppliers, employing the Additive Ratio Assessment and Analytical Hierarchy Process. Furthermore, it examined the practical application of the proposed model in an Indonesian concrete manufacturing company. The Delphi method was employed to enhance decision-making in criteria selection, considering that it determines the reliability of the supplier ranking. The study demonstrated that the proposed method yielded a practical solution and was not sensitive to parameter changes. Sensitivity analysis can help decision-makers evaluate the resilience of the process by determining the effect of change in the primary criteria on supplier ranking. Therefore, establishing a straightforward methodology enables managers in the concrete industry to identify the most suitable supplier. Additionally, this approach assists managers in categorizing intricate decision-making challenges into straightforward methodologies. The study provides managers in the Indonesian concrete industry with a thorough understanding of the variables that must be assessed when selecting suppliers.

9

The Importance of Relative Slope Length Data in Flood Hazard Zoning: A Case Study of the Ngan Sau, Ngan Pho River Basin, Vietnam

Dang Tuyet Minh, Le Duyen Quang, Nguyen Ba Dung

Inżynieria Mineralna

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2024

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Vol. 2, no. 1

25--33

EN

Flood modeling provides useful information to assist manage flood hazards and lessen the effects of floods in locations that are vulnerable to flooding. The present research established flood hazard maps for the Ngan Sau, Ngan Pho river basin using GIS technology and the Analytical Hierarchy Process (AHP) method. The precision of flood simulation results is dependent on criteria that cause flooding. The goal of this study was to evaluate the role of relative slope length in flood hazard identification and delineation. The AHP method was used to determine the respective weights of six physical geography and meteorology factors including rainfall, slope, soil, land use, drainage density, and relative slope length. In the process of computing the model, these factors are classified into two groups: group 1 includes five criteria excluding the relative slope length criterion and group 2 has all six parameters. Based on flood warning levels at hydrological stations in the research area during past floods, the results of flood hazard zoning were verified. The obtained findings indicated that map developed from the group of criteria including the relative slope length are more accurate than those generated based on the remaining five factors. The results of the paper can be used as a reference when choosing criteria for creating flood hazard zoning models utilizing a combination the AHP and GIS technology.

PL

Modelowanie powodzi dostarcza przydatnych informacji, które pomagają zarządzać zagrożeniem powodziowym i łagodzić skutki powodzi w lokalizacjach narażonych na powodzie. W ramach niniejszych badań opracowano mapy zagrożenia powodziowego dla dorzeczy rzek Ngan Sau i Ngan Pho przy użyciu technologii GIS i metody Analytical Hierarchy Process (AHP). Dokładność wyników symulacji powodzi zależy od kryteriów powodujących powódź. Celem pracy była ocena roli względnej długości zbocza w identyfikacji i wyznaczaniu zagrożenia powodziowego. Do określenia odpowiednich wag w AHP wykorzystano sześć czynników geograficznych i metrologicznych — opady deszczu, nachylenie, gleba, użytkowanie gruntów, gęstość drenażu i względna długość zbocza. W procesie obliczania modelu czynniki te dzielone są na dwie grupy: grupa 2 obejmuje wszystkie sześć parametrów, natomiast grupa 1 obejmuje pięć kryteriów z wyłączeniem kryterium względnej długości nachylenia. W oparciu o stany ostrzeżeń powodziowych na stacjach hydrologicznych na obszarze badań podczas powodzi, które miały miejsce w przeszłości, zweryfikowano skutki wyznaczania stref zagrożenia powodziowego. Uzyskane wyniki wykazały, że mapy opracowane z grupy kryteriów uwzględniających względną długość nachylenia są dokładniejsze niż mapy wygenerowane na podstawie pozostałych pięciu czynników. Wyniki artykułu mogą posłużyć jako punkt odniesienia przy wyborze kryteriów tworzenia modeli stref zagrożenia powodziowego z wykorzystaniem kombinacji technologii AHP i GIS.

10

Wykorzystanie zrekultywowanych składowisk odpadów na potrzeby budowy instalacji fotowoltaicznych

Herba Klaudia, Malinowski Mateusz, Bodziacki Stanisław

Infrastruktura i Ekologia Terenów Wiejskich

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2024

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Vol. 19, No. 1.1

127--138

PL

Wytwarzanie energii z odnawialnych źródeł energii (OZE) polega na wykorzystaniu naturalnych zasobów i procesów zachodzących w przyrodzie. Dzięki efektowi fotowoltaicznemu, który umożliwia wytwarzanie energii elektrycznej w wyniku absorpcji światła przez materiały półprzewodnikowe, pozyskiwanie energii słonecznej zyskuje na popularności zarówno wśród konsumentów indywidualnych, jak i przedsiębiorstw. Praca swoim zakresem obejmuje rozpoznanie możliwości wykorzystania zrekultywowanych składowisk odpadów jako potencjalnych lokalizacji farm fotowoltaicznych (PV) na przykładzie województwa małopolskiego. Celem pracy było opracowanie zbioru kryteriów lokalizacyjnych oraz zastosowanie metody AHP, aby wskazać optymalne składowisko, na którym możliwe byłoby wybudowanie farmy PV. Dodatkowo z wykorzystaniem oprogramowania EasySolar dobrano odpowiednią instalację PV dla wskazanego składowiska, określając również potencjalną ilości energii elektrycznej, którą można pozyskać w ciągu roku. Przeprowadzona analiza umożliwiła identyfikację optymalnego składowiska spośród 41 rozpatrywanych lokalizacji. Dla wybranego miejsca zaproponowano zastosowanie modułów PV typu monokrystalicznego (Jinko JKM550M-72HL4-V) o mocy 550 W. Moc zaprojektowanej instalacji wynosi 903 kWp, a potencjalny roczny uzysk energii z tej instalacji szacowany jest na 787,5 MWh.

EN

The generation of energy from renewable energy sources (RES) involves the utilization of natural resources and processes occurring in nature. Thanks to the photovoltaic effect, which allows for the generation of electricity through the absorption of light by semiconductor materials, solar energy harvesting is gaining popularity among both individual consumers and businesses. This work encompasses the identification of the possibilities for utilizing reclaimed waste landfills as potential locations for photovoltaic (PV) farms, exemplified by the Małopolska region. The aim of the study was to develop a set of location criteria and to apply the AHP method to identify the optimal landfill where a PV farm could be built. Additionally, using the EasySolar software, an appropriate PV installation was selected for the indicated landfill, also determining the potential amount of electricity that could be generated over the course of a year. The conducted analysis allowed for the identification of the optimal landfill among 41 considered locations. For the selected site, the use of monocrystalline PV modules (Jinko JKM550M-72HL4-V) with a power output of 550 W was proposed. The designed installation has a capacity of 903 kWp, and the potential annual energy yield from this installation is estimated at 787.5 MWh.

11

Analysis of constraints to urban expansion in the city of M’Sila using the Analytic Hierarchy Process (AHP) and Geographic Information Systems (GIS)

Houbib Hanane, Kalla Mehdi

Geomatics, Landmanagement and Landscape

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2024

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no. 4

123--135

EN

The presented study aims to deepen the understanding of urban expansion and land resource management to meet growing urbanization needs and identify constraints associated with this phenomenon. The main objective is to propose a model that integrates the Analytic Hierarchy Process (AHP) and Geographic Information Systems (GIS) – a method recognized for addressing complex spatial issues. By defining the criteria related to the targeted objectives and by mapping attribute and geographic data at the municipal level of M’sila, we have prioritized the identified indicators, quantitatively evaluated the phenomenon, and compared various development scenarios for the studied areas. This quantitative evaluation was carried out through spatial simulation, including data intersection and multicriteria aggregation based on the AHP method, which allowed participatory modeling of factors according to their respective importance. Moreover, this process facilitated the identification of optimal land use for urbanization, while assisting specialists in choosing the most appropriate urban planning orientations and objectives for the studied areas.

PL

Przedstawione badanie ma na celu pogłębienie zrozumienia ekspansji miejskiej i zarządzania zasobami gruntów w celu zaspokojenia rosnących potrzeb urbanizacyjnych oraz zidentyfikowanie ograniczeń związanych z tym zjawiskiem. Głównym celem jest zaproponowanie modelu, który integruje proces hierarchii analitycznej (AHP) i systemy informacji geograficznej (GIS) – metodę uznaną za rozwiązującą złożone problemy przestrzenne. Poprzez zdefiniowanie kryteriów związanych z celami docelowymi i mapowanie danych atrybutowych i geograficznych na poziomie gminy M'sila, ustaliliśmy priorytety zidentyfikowanych wskaźników, ilościowo oceniliśmy zjawisko i porównaliśmy różne scenariusze rozwoju dla badanych obszarów. Ta ilościowa ocena została przeprowadzona poprzez symulację przestrzenną, w tym przecięcie danych i agregację wielokryterialną w oparciu o metodę AHP, co umożliwiło partycypacyjne modelowanie czynników zgodnie z ich odpowiednim znaczeniem. Ponadto proces ten ułatwił identyfikację optymalnego wykorzystania gruntów pod urbanizację, pomagając jednocześnie specjalistom w wyborze najbardziej odpowiednich orientacji i celów planowania urbanistycznego dla badanych obszarów.

12

Optimizing Selection of Sustainable Material-extraction Sites with GIS-based Decision-support Systems (AHP/MACBETH): In-depth Case Study from Settat, Morocco

Amellal Issam, Amellal Asmae, Hattabi Said

Geomatics and Environmental Engineering

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2024

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Vol. 18, no. 4

27--54

EN

In today’s world, sustainability is crucial, particularly in managing natural resources for sustainable development. Often, environmental impacts of new activities are overlooked, worsening the effects on already vulnerable environments. Our study uses two multi-criteria decision-making tools, MACBETH and AHP, integrated with GIS technology, to evaluate quarry sites in Settat Province, Morocco. This methodology classifies sites by suitability, based on criteria aligned with sustainable development goals. We found a high consistency between MACBETH and AHP, with less than 4% divergence in criteria weighting, confirming the robustness of our integrated approach in making location-based decisions for quarries. The resulting maps clearly delineate zones from unsuitable to highly suitable for quarrying. Beyond assessing current quarrying practices, our findings offer strategic insights for future site planning and establishment, showcasing adaptability and potential for replication. This research provides a practical model for improving material extraction practices, aligning with sustainable development needs, and serving as a valuable tool for policymakers and industry stakeholders.

13

Model for Assessing Engineering Competencies of Logistics Specialists in Transport Organisations

Drejeris Rolandas, Katinienė Aušra, Vaičiūtė Kristina, Čiutienė Rūta

Engineering Management in Production and Services

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2024

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Vol. 16, no. 3

56--74

EN

In today’s dynamic, technology-driven, and diverse world of knowledge society, transport organisations should purposefully analyse and assess their operations since they often have to face problems emerging from the lack of knowledge and competencies of logistics specialists. The engineering competencies of logistics specialists are highly appreciated in transport systems. However, the selection of assessment criteria and determination of its importance is a difficult task for managers in this sector. Thus, it is reasonable to apply the multi-criteria methodologies, such as SAW, AHP, MOORA, and VIKOR, whilst determining the importance of criteria describing the competencies of logistics specialists in a transport organisation. Applying the multi-criteria methods provides prerequisites for an objective, precise, and the least time-consuming way to evaluate the engineering competencies of logistics specialists. The analysis of the results enables the most suitable decisions to utilise the significant potential of logistics specialists. The article examines the problem areas for evaluating the competencies of logistics specialists. The current paper presents the evaluation of logistics specialists’ competencies based on the methodology used to determine the importance of criteria (SAW and AHP methods). Additionally, further recommendations are suggested to effectively manage certain corrections on competencies in transport organisations under investigation.

14

Reliability analysis of subway sliding plug doors based on improved FMECA and Weibull distribution

Wang Weibo, Liu Wenxiu, Fang Yu, Zheng Yongkang, Lin Chuan, Jiang Yonghua, Liu Dong

Eksploatacja i Niezawodność

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2024

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Vol. 26, no. 2

art. no. 178275

EN

Using traditional failure mode effects and criticality analysis (FMECA) to analyze the hazard of subway sliding plug door system, there are problems such as easy-to-take repetitive values, irrational allocation of expert's weights, and failure to consider the weights of evaluation factors. To address the above problems, this paper proposes an improved FMECA by using linear interpolation to increase the differentiation of the same fault probability occurrence among various fault modes. Apply the dependent uncertain ordered weighted averaging (DUOWA) algorithm to assign weights to different experts dynamically. The analytic hierarchy process (AHP) is used to endow weights to diverse evaluation factors to make them more suitable for engineering needs. We collected 1,836 days of metro train operation records from the Shanghai subway manufacturing plant and studied 17 common faults. Next, use a reliability-centered maintenance (RCM) strategy to determine maintenance periods for different fault modes. Finally, through the Weibull distribution fitting test, the fault rate function of the door is obtained, and the remaining useful life (RUL) of the door is predicted. The consistency between the vulnerable parts obtained by our proposed method and the statistics of the maintenance records of the subway sliding plug door verifies the effectiveness and reliability of our improved FMECA.

15

Groundwater Potential Assessment in the Upper Oum Er-Rbia Basin, Northern Morocco

Midaoui Abdelbaset, El-Hamdouny Malika, Elaloui Abdenbi, Karroum Morad, Boudhar Abdelghani, Lahrach Abderrahim

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 6

27--42

EN

This study aimed to assess the groundwater potential zones (GWPZ) in northern Morocco’s Upper Oum Er-Rbia Basin (UOER). In such a semi-arid context, groundwater resources are crucial to sustaining essential human activities, but they are under stress due to increased overuse and climate change. This investigation utilized remote sensing in a GIS framework along with a multi-criteria decision analysis (MCDA) technique using the analytic hierarchy process (AHP) for the first time in this region. Ten thematic layers were created, representing the most significant parameters, which were then weighted and overlaid. The output map shows five levels of potential: very low, low, medium, high, and very high, covering 12%, 19%, 20%, 27%, and 22% of the basin area, respectively. Comparing the assessment results to the borehole yield, the AUC-ROC curve showed a value of 84.5%, which testifies to the excellent performance of the methodology used. Of the 10 criteria used, lithology was shown to be the most significant factor, followed by LULC, slope, and geomorphology. The study results offer an extensive insight into the hydrogeological potential of the UOER basin. These findings are essential for decision-makers and encourage the efficient utilization of groundwater resources, thus supporting broader objectives of sustainable development.

16

Evaluating Optimal Cultivation Sites for Microalgae Based on Dairy Farm Wastewater using Analytical Hierarchy Process and Geographic Information System Techniques

Hindarti Fin, Khakhim Nurul, Suyono Eko Agus, Budiman Arief

Ecological Engineering & Environmental Technology

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2024

|

Vol. 25, iss. 9

130--146

EN

Dairy farm wastewater contains high BOD, COD, and TSS, thus harming the environment if discharged without proper treatment. However, it is rich in nutrients, primarily nitrogen and phosphorus, which are needed by microalgae to grow and synthesis useful and high-value organic compounds. Microalgae biomass can be generated from a cultivation system that is integrated with wastewater sources efficiently. Selecting a suitable location is thereby crucial for the sustainable development of microalgae cultivation. This study aimed to select suitable locations in Cangkringan District, Indonesia for microalgae cultivation sites using the analytical hierarchy process (AHP) method integrated with geographic information system (GIS) and weighted overlay analysis (WOA). AHP helped determine the relative weights of the relevant factors, including dairy farm wastewater, temperature, land use, land elevation, and land slope in the study area. These weights were subsequently applied in WOA to determine locations that were most suitable for microalgae cultivation sites. The results of WOA, presented in the form of a land suitability map, showed that 0.1% (0.04 km2 ) of the studied areas is highly suitable for the development of microalgae cultivation and that a significant portion, approximately 67.2% (29.75 km2 ), is not suitable.

17

Assessment of safety of masonry buildings near deep excavations: impact of excavations on structures

Jasiński Radosław, Skrzypczak Izabela, Leśniak Agnieszka, Natividade Eduardo

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2024

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Vol. 72, nr 4

art. no. e149817

EN

The knowledge of the impact and the load-bearing capacity of unstrengthened/strengthened structures is a crucial source of information about the safety of masonry buildings near deep excavations, especially in dense urban areas. Incorrect calculations made for such designs can seriously affect not only an analyzed object but also the adjacent buildings. The safety of masonry buildings can be determined by many factors that are closely related to the hazards presented during the performance of deep excavations. These factors are at first identified and then prioritized. The AHP process in the multi-criteria analysis was used to support the decision-making process related to the verification of factors affecting the safety assessment of masonry buildings in the area of deep excavations. The proper design of building structures, including the verification of the structure strengthening near deep excavations, was found to be the most significant factor determining the safety of such buildings. The methodology for proceeding with the verification of ultimate (ULS) and serviceability (SLS) limit states in accordance with the literature data, current regulations, such as Eurocode 6 and other design standards, and the know-how of the authors, described in this paper was the next stage of the discussed analysis.

18

Delineation of groundwater potential zones for sustainable development and planning using AHP and GIS techniques in the coal mining province of Mahan river catchment area

Kausher Rukaiya, Sinha Anand Kumar, Singh Rambabu

Archives of Mining Sciences

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2024

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Vol. 69, no. 1

77--88

EN

The present research aims to address the drinking water crisis in the Mahan River catchment area resulting from the disruption of groundwater availability due to extensive coal mining. The study uses GIS-based Multi-Criteria Decision Analysis (MCDA) to map the groundwater potential of the area by analysing several factors that affect groundwater availability, including rainfall, water depth, geomorphology, geology, soil, land-cover/land-use, and topographic characteristics derived from DEM. The groundwater potential map created using the MCDA technique classified the area into low, moderate, and high groundwater potential zones. The map was validated and verified using water table depth and electrical conductivity values available in the region, indicating that it can be used to identify groundwater recharging sites. The study’s results show that about 30% of the area has high groundwater potential, and more than 45% of the area has moderate groundwater potential. The information derived from the study can be used for sustainable management and proper planning of groundwater resources in the Mahan River catchment area. Overall, the study presents a useful approach to address the groundwater depletion problem resulting from coal mining activities in the Mahan River catchment area.

19

Developing a new multi-criteria decision-making for flood prioritization of sub-watersheds using concept of D numbers

Sepehri Mehdi, Linh Nguyen Thi Thuy, Pouya Hadi Nazri, Bahramloo Reza, Sadeghian Jalal, Ghermezcheshme Bagher, Talebi Ali, Peyrovan Hamidreza, Thanh Phong Nguyen

Acta Geophysica

|

2024

|

Vol. 72, no. 3

2027--2039

EN

Floods are one of the most dangerous natural disasters that humanity has ever faced. In this study, a modified version of D number technique as a suitable form of multi-criteria decision-making (MCDM) approaches was proposed to prioritize flooding in the Sad-Kalan watershed of Iran using some flood related criteria. The proposed method can overcome some shortcomings and uncertainties of the existing MCDM methods. In order to evaluate the performance of the method regarding flood prioritization, its results were compared with the analytic hierarchy process (AHP) technique as mostly frequently used MCDM method. The findings demonstrate that the modified version of D number method provides better results than AHP method. In spite of inherent advantages of D number method, the advantages of the proposed method in relation to existing MCDM are as follows: 1- considering the local and global importance of used criteria, 2- reducing the uncertainty in decision makers’ judgments using employing the concept of Picture fuzzy-AHP, 3- considering the degree of consistency in evaluation of decision makers into calculations. Furthermore, the method is flexible and can be used in any region of the world.

20

Prioritization of overall sustainability factors of cloud manufacturing through AHP and Fuzzy AHP approach

Sharma Mohneesh Kumar

Zeszyty Naukowe. Transport / Politechnika Śląska

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2023

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z. 119

37--61

EN

In this global competitive environment, with the recent advancement in information and communication technologies, the industries are adopting new strategies to sustain. Cloud manufacturing is a new technology that utilizes data analytics for better decision-making resulting in more productive, cost, and energy efficient operations. Increasing awareness towards a clean environment and optimum utilization of resources in manufacturing motivate us to study cloud manufacturing in the context of sustainability. Therefore, a significant number of social, environmental, and economic factors of cloud manufacturing are identified through literature review, and experts’ opinions and prioritization of these factors are obtained through the AHP and Fuzzy AHP methods. As per the final results obtained, “Efficient use of resources” is the most significant factor for the adoption of cloud manufacturing process and “Remote material monitoring” is the least significant factor amongst all the factors taken under consideration. The results are found to be consistent and accurate as per the value of consistency ratio. And the percentage obtained for social, environmental, and economic factors proves the cloud manufacturing process to be a sustainable manufacturing process.