A well-designed classroom environment is essential for effective learning, and natural light plays a fundamental role in creating a space conductive to concentration and comfort. This study investigates the intricate relationship between visual comfort and natural light in classroom by employing the Analytical Hierarchy Process (AHP). AHP emerges as an invaluable tool for lighting engineers, architects, and decision-makers in the education sector. It allows them to systematically identify rank, and prioritize the factors that most significantly influence daylight quality. The architectural elements examined in this study include the climate, color of walls and ceiling, window design, and dimensions, orientation of the classroom, and the presence of shading elements. Interior design considerations, such as furniture arrangement, choice of materials, and the height of desks and chairs, are also evaluated for their impact on natural lighting. Collectively, these variables shape the overall lighting environment of a classroom. This study aims to determine the relative importance of each factor, providing valuable insights that can guide evidence-based design strategies to enhance student performance through improved lighting. The findings confirms that daylight quality in classrooms necessitates taking into account a number of key factors, with a focus on climate and hour of the day as well as window design and color. These insights are guided by the outcomes of the AHP evaluation. It allows for comprehensive assessments of lighting quality by systematically weighing the various factors that influence both natural and artificial lighting, facilitating informed decisions about design improvements and optimal funding allocation.
PL
Dobrze zaprojektowane środowisko klasy jest niezbędne do efektywnej nauki, a naturalne światło odgrywa fundamentalną rolę w tworzeniu przestrzeni sprzyjającej koncentracji i wygodzie. W niniejszym badaniu zbadano zawiły związek między komfortem wizualnym a naturalnym światłem w klasie, stosując Analytical Hierarchy Process (AHP). AHP okazuje się nieocenionym narzędziem dla inżynierów oświetlenia, architektów i decydentów w sektorze edukacji. Pozwala im systematycznie określać rangę i ustalać priorytety czynników, które mają największy wpływ na jakość światła dziennego. Elementy architektoniczne badane w niniejszym badaniu obejmują klimat, kolor ścian i sufitu, projekt i wymiary okien, orientację klasy oraz obecność elementów zacieniających. Rozważania dotyczące projektowania wnętrz, takie jak rozmieszczenie mebli, wybór materiałów oraz wysokość biurek i krzeseł, są również oceniane pod kątem ich wpływu na naturalne oświetlenie. Łącznie zmienne te kształtują ogólne środowisko oświetleniowe klasy. Celem niniejszego badania jest określenie względnego znaczenia każdego czynnika, dostarczając cennych spostrzeżeń, które mogą stanowić podstawę opartych na dowodach strategii projektowania w celu poprawy wyników uczniów poprzez ulepszone oświetlenie. Wyniki potwierdzają, że jakość światła dziennego w klasach wymaga uwzględnienia szeregu kluczowych czynników, ze szczególnym uwzględnieniem klimatu i pory dnia, a także projektu i koloru okien. Te spostrzeżenia są oparte na wynikach oceny AHP. Umożliwia ona kompleksową ocenę jakości oświetlenia poprzez systematyczne ważenie różnych czynników, które wpływają zarówno na oświetlenie naturalne, jak i sztuczne, ułatwiając podejmowanie świadomych decyzji dotyczących ulepszeń projektu i optymalnego przydziału środków.
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.
The COVID-19 pandemic has had a significant adverse impact on economic trends and the ability of enterprises to manage their global supply chain activities. One major challenge relates to handling disruptions in supply chain activities and conducting humanitarian logistics. When facing disruptions in the humanitarian supply chain, non-governmental organizations (NGOs) need to identify relevant scenarios for supply chain processes, both before and after the COVID-19 pandemic, to determine the performance outcomes of these processes. This study aims to measure the logistics performance of the humanitarian supply chain process before and after the COVID-19 pandemic. It adopts the performance criteria from the supply chain operations reference (SCOR) model and the humanitarian logistics success criteria found in the literature for operationalization. Subsequently, the study employs the spherical fuzzy analytic hierarchy process (SF-AHP) methodology as a decision-making tool to prioritize criteria for identifying each aspect of the humanitarian supply chain process. These metrics are valuable for organizations to determine which sustainable supply chain processes are better suited, based on predefined criteria, to mitigate disruptions caused by the pandemic. Document accuracy is identified as the most important metric criterion for the humanitarian supply chain process.
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.
The main aim of this study is to examine the interconnections among performance indicators in Small and Medium Scale Enterprises (SMEs) within the mining industries in Kerala, India. A hierarchical model for performance metrics is introduced, starting with the identification of performance indicators through a systematic process. Following this, a comprehensive questionnaire-based survey is conducted within the mining and mineral industries in Kerala to identify the significant indicators specific to the sector. In this context, the Analytic Hierarchy Process (AHP) serves as a valuable multi-criteria decision-making approach for the evaluation of performance indicators. The primary objective of this article is to scrutinize performance indicators that assess the performance of SMEs and provide a comparative rating against their peers. Distinguishing itself from conventional approaches, this study directly engages manufacturers to gauge the relevance of four main factors and twelve sub-factors (performance indicators) through the application of the Analytic Hierarchy Process.
During the mining of a single coal seam isolated island work surface with large burial depth, the high mine pressures can crush and break the protective coal pillars, causing serious air leakages in the rear goaf. Herein, we use the analytic hierarchy process(AHP) to determine the main influencing factors of air leakage in island mining face. The air leakage source and sink in goaf were determined by measuring the differential pressures between the island mining face and the adjacent goaf using the energy level measurement method. The air volumes in the roadways were monitored on site to quantitatively analyze the specific changes of the air leakage in the isolated island work surface. Finally, the air leakage prevention measures were evaluated for the air leakage reduction efficiency in the island mining face and the goaf. Research shows that: (1) The fissure development in the roadway wall is the main influencing element of the air leakage in the isolated island work surface; (2) The differential pressure causes the air leakage volume of 37-40 m3/ min from the goaf to the island mining face; (3) Shotcrete in the gob-side roadway of the isolated island work surface can reduce the air leakage by 78%.
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.
The impact of civil engineering course education on civil engineers is profound and crucial. Due to the hierarchical and ambiguous nature of quality assessment for flipped classroom teaching, there is an urgent demand for a rational and effective approach to conduct such assessments. This would enable the targeted formulation of instructional improvement methods based on assessment outcomes, ultimately elevating the quality of pedagogy. This study combines the analytic hierarchy process and fuzzy evaluation method. The fuzzy evaluation method is utilized to identify four primary evaluation factor sets, fourteen secondary judgment factor sets, and five evaluation outcome sets, with subsequent quantification of the assessment results. The analytic hierarchy process is employed to ascertain the weight coefficients of the evaluation factors. The comprehensive assessment model for flipped classroom teaching quality is established. The assessment results indicate that the overall quality of flipped classroom teaching in the civil engineering major at Anhui University of Science and Technology, conducted through the platform of Superstar Learning Hub, falls within the ‘Good’ category. The fuzzy comprehensive evaluation score for extracurricular learning quality is the lowest, and the weight proportion attributed to flipped classroom infrastructure is the highest. Consequently, several targeted improvement measures are proposed to enhance the quality of flipped classroom teaching.
Countries’ defence industries are the leading indicator of their global power. The warehouse is the place where the materials are kept until the customer order arrives so that the companies are viable and can respond appropriately to internal/external customer demands. In this regard, warehouse location plays a vital role in the defence industry in terms of storage options with increased flexibility, a simplified supply chain with cost management and optimal positioning according to deployment locations. In this study, the decision on the location of warehouses for logistic support during the warranty period of military vehicles manufactured and supplied to the armed forces by a defence company was made. It is aimed to propose the best solution to a real-life problem with high complexity, containing many data and constraints. In this context, the criteria that are thought to be most relevant to this problem have been determined by taking expert opinions. Having determined the order of importance of the requirements by the analytical hierarchy process (AHP) with the Super Decisions V 2.10, their weights were included as a coefficient of the objective function in the goal programming (GP) model. As a result of solving the GP model using GAMS (general algebraic modelling system), it was decided to select the warehouses that provided the optimal results among the alternative warehouse locations in 9 different locations. Furthermore, to see the impact of changes in criterion weights, sensitivity analysis has also been included. The significance of this research lies within the integrated usage of AHP and GP in the defence industry when determining warehouse locations by the experts’ opinions. With this study, not only a solution strategy was developed, but also a basis for the warehouse location decision in the defence industry projects already signed or to be signed was given.
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.
Due to the indiscriminate use of limited water sources, the requirement for groundwater evaluation in India expanded substantially. Population growth and unequal distribution, poor irrigation systems, rapid urbanization/industrialization, large-scale deforestation, droughts, and inefficient land use practises contribute to groundwater depletion.As a result, the need for water for agriculture, domestic, and industry soars. The study identifies viable zones in Visakhapatnam’s emerging metropolitan metropolis by utilising the Analytical Hierarchy Process (AHP) approach with remote sensing data in ArcGIS software. Thematic layers were created by taking remote sensing data into consideration (drainage density, soil, lineament density, land use land cover, geomorphology, rainfall, slope, and geology). The method is employed to determine the weights of distinct thematic layers by obtaining the normalised weight from a pairwise matrix.To emphasize the groundwater potential zones and create a map with different zones specified, the weights and ranks extrapolated from the AHP approach have been made available in the weighted index overlay analysis tool in ArcGIS.Groundwater availability and recharge are significantly high in the good zone of the present study’s four classifications of good, moderate, low, and very low. The groundwater status, potential locations for water extraction, and best practises for groundwater recharging may all be determined with the use of the acquired information from the indication map.
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.
This article discusses in a simplified manner how to use the multiple functions of the Geographic Information System (GIS) to support the engineering decision for vital and important sites that require the decision-maker to have a high degree of certainty, such as the decision related to choosing the best location for the airport among several sites. This paper aims to provide a practical model that allows for a decision support system on how to adopt a GIS software by both its part Arc-Map and Arc-Catalog combined with analytic hierarchy process (AHP) method to make strategic decisions by spatial and non-spatial analysis to choose the appropriate site for the project as those related to choosing an airport location. Nineteenth criteria were considered to analyze the study area which is represented by three governorates of the middle Euphrates region in Iraq, Babil, Kerbala, and AL-Najaf. Finally, the research presented a practical and efficient approach for the decision maker to select the appropriate location for the airport based on the value of the highest suitability index.
Cost overrun during construction is one of the most common problems occur in construction projects around the world, which also includes the area of Chongqing in China. At present, there are few studies related to cost overruns at the construction stage of high-rise residential building projects (HRBPs) in Chongqing. The purpose of this study is to develop effective control measures from the contractor’s perspective to help projects to minimize cost overruns during the construction phase of HRBPs in Chongqing. Firstly, through the literature review and semi-structured interviews, 65 cost overrun-related risk factors in construction projects were identified. All the risk factors have been prioritized through the analytic hierarchy process (AHP) based on their importance to project success. Out of the 65 factors identified, 12 were classified as the critical ones that have a great potential to instigate a cost overrun during construction to take place in the real project. There were four risk factors that have the greatest impact on cost overruns, and their weights were 0.04 or above, including low bid, force majeure, undetailed/inaccurate geological survey data, and increased loan interest rates. Finally, control measures were developed for these four critical cost overrun risk factors (CCORFs). The measures developed provided a guideline to control the risk of cost overruns and clear control key points to help contractors minimize cost overruns on construction projects.
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 new decision-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.
PL
W artykule przedstawiono wybrane rodzaje materiałów zmiennofazowych (PCM) oraz ich właściwości pod kątem zastosowań w budownictwie, w tym w technologii betonu. Celem stosowania PCM jako dodatku do świeżego betonu jest umożliwienie przekroczenia określonych barier technologicznych występujących w warunkach klimatu gorącego i suchego, gwarantując schładzanie betonu i tym samym wykonanie niezarysowanych konstrukcji betonowych. Przedstawiono metodologię wielokryterialnego procesu decyzyjnego związanego z wyborem różnych wariantów pielęgnacji betonu w warunkach ekstremalnie suchych z wykorzystaniem stosunkowo nowego narzędzia decyzyjnego w budownictwie jakim jest AHP tj. Analytic Hierarchy Process. Przedstawiono teoretyczne aspekty metody oraz przykład jej praktycznego zastosowania do wyboru najlepszego rodzaju cementu oraz betonu i metody jego pielęgnacji w suchym klimacie syryjskim. Wnioski płynące z przedstawionego artykułu dotyczą dwóch obszarów, tj. celowości stosowania materiałów PCM z przemianą fazową o stosunkowo niskiej temperaturze do regulacji temperatury w dojrzewającym świeżym betonie w suchych warunkach klimatycznych oraz atrakcyjności metody AHP uzasadniającej celowość wyboru alternatywnych metod pielęgnacji młodego betonu w takich warunkach.
Pioneers of the digital era have invented a different business model and expanded the existence of the digital economy, and the digital entrepreneurship is the beginning of this digital revolution. To explore the key characteristics of digital entrepreneurs, this study is divided into two stages. The first stage conducted a literature review and case study to construct the characteristic elements of the entrepreneurship into a model of digital entrepreneurs. In the second stage, the relative weights of the key characteristics of digital entrepreneurs are understood through an analysis of the AHP questionnaire results. The results show that autonomy and selfdiscipline are keys among the main dimensions of the key characteristics of digital entrepreneurs' entrepreneurship; the secondary dimension of "action power" is key in the main dimension of "autonomy and self-discipline"; the secondary dimension of "business networks" is key in the main dimension of "social capital"; the secondary dimension of "insight" is key in the main dimension of "innovation and breakthrough"; the secondary dimension of "communication ability" is key in the main dimension of "leadership communication".
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Groundwater can serve as an alternative measure to solve the scarcity in perennial water sources. In this perspective, a study has been carried out in Phuentsholing, Bhutan, for demarcating the most probable zone for groundwater source by an integrated application of geospatial and geophysical survey. The seven contributing factors (i.e. geology, geomorphology, drainage, landuse landcover (LULC), normalized difference vegetation index (NDVI), lineament, and slope are evaluated. Subsequently, an Analytic Hierarchy Process (AHP) is also carried out to normalize the weightage and rank of the individual factors, which are further overlaid using the Weighted Index Overlay (WIO) algorithm. The resultant groundwater potential was categorized into: extremely high (0.7%), high (54%), moderate (12.5%), low (21%), and extremely low (12%) potential zones. Each of this category is further validated by Vertical Electrical Sounding (VES-3) using Schlumberger electrode configuration and identified the most probable groundwater exploration zones towards the south-western parts of the study area. Thus, the study emphasizes on significant role of remote sensing and geographic information system (GIS) in aggregation with the geophysical and statistical measures to delineate the most probable location for groundwater resources in the Himalayan region.
The origin of a cost-efficient, service-oriented, customer-centric, manufacturing system called cloud manufacturing has evolved due to advancements in cyber systems and the availability of internet facilities worldwide. However, there is a significant number of opportunities before the adoption of cloud manufacturing. Through literature survey, expert opinions from academicians and industrialists, various opportunities, namely, pay-as-use, scalability, cost efficiency, flexibility, autonomy, low-risk backup and recovery, low startup cost and location independence associated with the espousal of cloud manufacturing are identified. Further, the Analytic Hierarchy Process (AHP) model is applied to find the weights and prioritize these opportunities, thereby finding the significant key opportunities. Moreover, the consistency ratio is calculated for the accuracy and consistency of the results. As the obtained value of consistency ratio is less than .1, it shows that the result obtained is consistent and accurate. The managerial implication of these outcomes is that the results would indirectly help entrepreneurs in the adoption of cloud manufacturing.
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Wybór metody inwentaryzacji obiektu zabytkowego zależy od wielu czynników. Celem pracy był wybór najkorzystniejszej metody pomiarowej do inwentaryzacji rzeszowskiego Ratusza. Rozważano cztery metody pomiaru i dokonano ich oceny za pomocą pięciu kryteriów. Do wspomagania procesu decyzyjnego wykorzystano metodę analizy wielokryterialnej AHP. W przypadku analizowanego obiektu najkorzystniejszy okazał się naziemny skaning laserowy. Zaprezentowano także wybrane elementy przeprowadzanego procesu inwentaryzacji.
EN
The choice of a heritage building inventorying method depends on many factors. The aim of the work was to select the most advantageous measurement method for the Rzeszów Town Hall inventory. Four measurement methods were considered and assessed according to five criteria. The multi-criteria AHP method was used to support decision-making. Terrestrial laser scanning has proved to be the most advantageous for the analysed case. Selected elements of the on-going inventory process were also presented.
The Analytical Hierarchy Process (AHP) is one of the multi-criteria methods with tools that are effective for decision-making in complementary or alternative medicine (CAM). This approach, in combination with other available methods, such as the Utrecht Method, allows medical professionals and patients themselves to take a balanced choice of special treatment and health control. This is particularly important for pregnant women who suffer from nausea and vomiting during pregnancy (NVP). The mechanisms of toxicosis occur, and the way of treatment have certain uncertainties. The decision-making process for therapeutic care must consider several factors, the determination of which is the result of collaboration between the patient and the healthcare provider. This paper presents the results of a decision-making study regarding the use of the ginger medicinal plant in helping a woman with NVP symptoms. The research was conducted using the original questionnaire according to the methodology proposed by the developers of the Utrecht Method. The chosen respondents were healthcare professionals with experience in treating NVP and pregnant women. The Analytical Hierarchy Process (AHP) capabilities in decisionmaking were shown in an example of analyzing the benefits, risks, and side effects of using ginger during pregnancy. The combination of two methodological approaches allowed to successfully connect the proven facts of using CAM therapy with the subjective assessment of all stakeholders. The study demonstrates that this approach successfully uses decision-making by structuring hierarchical decision elements and weighing the criteria involved in the decision-making issue. The article examines the practicality and effectiveness of using AHP when making decisions regarding the treatment and improvement of the condition of pregnant women with NVP, and summarizes the quantitative and qualitative indicators of the effectiveness of this method. The presented combination of two methodological approaches in decision-making allows for choosing an optimized medical strategy for supporting pregnant women through CAM therapy.
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