Hierarchy Approach Research Articles

An Empirical Study on the Development and Assessment of a Supplier Selection Model based on the Analytical Hierarchy Process in the Al Kharj Industrial Sector

Selecting a supplier is a critical strategic decision for supply chain management in today's global context. The process involves evaluating suppliers based on core competencies, pricing, delivery timeframes, location, data gathering, and related risks. Suppliers play a crucial role in an organization's profitability and stability. Finding the most optimal supplier can help industries reduce material expenses and maintain their competitive advantage. The supplier not only impacts the organization's profit margin but also its economic strength. Choosing a supplier requires considering qualitative and quantitative elements, making it a decision issue with several criteria. This study aims to create and evaluate a supplier selection model using the analytical hierarchy approach, focusing on a specific case study. When selecting the best supplier, it is crucial to consider tangible and intangible elements that may conflict. The supplier selection process considers several criteria, including qualitative and quantitative variables. The proposed methodology involved a literature review and informal interviews with industry experts and academics to establish the selection criteria. "Quality Supplier Co." was chosen due to the paramount importance of their quality. This research will comprehensively analyze several criteria to identify suppliers accurately.

Individuals with a fragility fracture and a prescription for bone active medication have a positive perception of the medication but do not associate it with fracture risk reduction.

Our purpose was to examine perceptions about bone active medication from individuals with a fragility fracture and a prescription for bone active medication. In this qualitative description study, eligible participants were those who attended an Osteoporosis Canada education session, and reported sustaining a previous fragility fracture and receiving a prescription for bone active medication. We conducted one-on-one interviews and analyzed the data using the analytic hierarchy approach. We interviewed 32 female participants (age range 58-89years). Based on our analysis, two themes were developed: (1) most participants spoke positively about bone active medication, indicating they were willing to start, or continue to take, their medication. Positive perceptions were held by participants who sustained a fracture while taking bone active medication, participants whose healthcare provider had stopped the prescription, and participants who reported side effects from the medication; (2) most participants did not discuss bone activemedication in relation to their fracture and did not appear to connect the medication to the concept of fracture risk. Instead, participants talked about themedication in relation to bone health in general, or to bone density. Participants appeared to have positive perceptions of bone active medication, despite sustaining a fracture while taking the medication, reporting medication side effects, or having a healthcare provider stop the prescription. Participants did not connect bone active medication to the concept of fracture risk, illustrating the need for healthcare providers to emphasize the connection between fracture risk and bone active medication.

Transformation trajectory of wetland and suitability of migratory water bird habitat in the moribund Ganges delta.

Wetland is a suitable habitat for water birds, and it enhances cultural ecosystem services. But the rapid transformation of such habitat, especially in floodplain environments, is an emerging crisis. Wetland reclamation and fragmentation are two major issues leading to poor habitat and landscape. The present paper aimed to explore the spatio-temporal changes in the suitability of wetland bird habitat, wetland landscape pattern, and the connection between them. Two wetlands, including a wetland of national importance, were taken as cases for this study. Time series Landsat and Sentinel images were taken for developing modeling parameters and Land Use Land Cover (LULC) for the years 2016 and 2020. The first transformation of wetland was accounted from the LULC maps of both years. Machine learning algorithm-based spatial models were developed for mapping the poor landscape condition of the existing wetland parts. Finally, semi-subjective analytic hierarchy approach (AHP)-based models were developed for assessing waterbird habitat suitability. Results demarcated more than 48% area belonging primarily to edges and tiny patches of wetlands under a poor state in 2020. Although the total wetland area was reduced between 2016 and 2020, the wetland area found to be highly suitable habitat increased from 25.5 to 59.44% of the total area during that period. The suitability of edge-preferring bird habitat showed a 10% increase. The increasing poverty of the landscape was caused by declining edge-preferring bird habitat suitability. From 1990 to 2020, 27% of wetlands were converted to single-cropped lands, and 5% were converted to multi-cropped agricultural land. Since the study spatially identified the potential suitable area and trend of wetland habitat transformation, this could help policymakers define suitable planning for the restoration and conservation of such promising bird habitat.

A simple predictive three-step chemical model for gaseous stoichiometric hydrogen–oxygen detonation quenching

Two types of three-step chain-branching kinetics for gaseous hydrogen–oxygen detonation quenching are proposed. The reaction rates dependency on density and pressure, as well as the change in molecular weight are included and fitted to results of detailed chemistry not only along the Hugoniot curve but also behind transverse waves. The trend of induction and reaction times and reduced activation energy of zero-dimensional constant pressure combustion process as well as the induction, reaction lengths, and peak thermicity of the ZND model are focused on in the calibration procedure. One model (3SM-I) is designed to model the ideal detonation whereas the other (3SM-N) focuses on the Dn−κ curve during calibration, i.e. the detonation velocity-mean front curvature curves, aiming to capture the non-idealities. The predictive ability using the proposed models is evaluated in a detonation transmission configuration, a layer of ▪ mixture being confined by N2, in determining the critical height, reactive layer height at which detonation transmission is not possible. Both approaches get closer to the critical height from detailed chemistry. With the present set of model parameters, 3SM-I is better than 3SM-N for prediction of critical height. Moreover, borrowing analytical ignition criteria and wave hierarchy approach, the comparison of various chemical models that are able to recover the critical height suggests that the slope of the Dn−κ curve, linked with the chemical response to losses, is the first key parameter for the critical height determination. In addition, the dynamics of the extinction near criticality such as appearance of transverse detonation and quenching distance from 3SM-I are in very good agreement with that of detailed chemistry due to better estimation of the chemical features along the Hugoniot curve and behind transverse waves. The present study provides a guideline to get simplified chemical models from detailed chemistry for predictive simulations.Novelty and significance statementThe novelty of research is two-fold. The first is to provide general guideline to get simplified models from detailed chemistry for the simulation of detonation extinction with improved predictive ability. The tested configuration was that of a stoichiometric hydrogen–oxygen mixture semi-confined by nitrogen. The evolution of the induction, reaction times, and the maximum thermicity were used as fitting targets for our 3-step model. Furthermore, they were evaluated not only at the post-shock states along the Hugoniot curve, but also behind the transverse waves, keystones of the cellular structure. Second, borrowing analytical ignition criteria and wave hierarchy approach, the comparison of different chemical models that were able to recover the critical height suggested that the slope of the normal velocity–curvature curve was the first key parameter for the critical height determination. Moreover, the dynamics of extinction near criticality, and quenching distance depended on the reaction rate dependency on density and pressure.

Landslide susceptibility mapping of a hilly region through a semi-quantitative technique

ABSTRACT Characterization of landslide susceptibility carries great importance in hilly regions as it is one of the frequently occurring natural hazards which comes with huge destruction of life as well as property. Identification of such landslide susceptible zones is usually decided based on the necessity and available resources. It is considered a valuable input for planning developmental activities by policymakers. The current study focuses on Pabbar Catchment, located in the state of Himachal Pradesh in India and prepares a Landslide Susceptibility Map (LSM) at a catchment scale using Analytical Hierarchy Approach (AHP). Eleven geo-morphological attributes of the catchment called causative factors were used in thematic form while creating the LSM. Being a semi-quantitative method, AHP performed satisfactorily to produce a realistic distribution of landslide susceptibility with a prediction accuracy of 0.768 under the Area Under Curve (AUC) technique. Approximately 72% of the geographical area from the catchment falls under the ‘high’ landslide susceptible zone. Unavailability of LSM at this scale is addressed through this study that may be useful to regional planners for future land use planning.

ASSESSMENT OF THE SPATIAL APPROPRIATENESS OF THE FUTURE URBANIZATION OF THE CITY OF (AIN BEIDA, ALGERIA) USING GEOGRAPHIC INFORMATION SYSTEMS, THE ANALYTICAL HIERARCHY PROCESS, AND THE DELPHI METHOD

Spatial adequacy evaluation is a valuable tool for planning land use strategies. It provides planners with data and outcomes that can help them make informed decisions to ensure effective and secure utilization of land in future urbanization processes. The objective of this study is to analyze the urbanization patterns in the city of Ain El Beida to determine the most appropriate areas for urban development. The aim is to create self-sustaining growth centers that effectively support the city, while also helping decision-makers address current expansions and protect agricultural lands. The study utilized spatial analysis methodology to evaluate and map the suitability of expanding the city's future space. It proposed an integration strategy that combined modern methods and techniques of the Delphi methodology to establish criteria for appropriate land use. The influence of these criteria will be analyzed spatially by administering a questionnaire to a sample of specialists in urban planning and city geography, followed by the application of spatial analyst techniques. The user's text is straightforward and precise. within the GIS framework, integrated via the analytic hierarchy approach. The user's text is straightforward and precise. To evaluate the suitability of the spatial location, to determine the significance of the factors influencing the expansion process based on their relative importance, to ensure that the desired goals are achieved in a way that reflects the priority of the decision-making criteria, and to identify the most favorable options for urban development in the study area. The findings indicated that the optimal locations for the urban growth of Ein El-Baida were determined to be 239.57 hectares, which accounts for 26.31 per cent of the entire land area under investigation. These areas are situated on the northern side of the city along National Road 80 (Ain Beida Presh) and on the western side along National Road 10 (Oum el-Bouaghi Ain Beida). These locations have been identified as the most suitable areas for spatial expansion due to their numerous incentives for urban attraction. Firstly, there is a considerable distance from the fertile and generously compensated agricultural areas, which offer unoccupied and level terrain, as well as its proximity to the central area of the pristine city of Ein. The study also determined that integrating GIS with hierarchy is crucial for constructing spatial models that accurately represent physical reality through mathematical means. This integration aids planners in selecting the most appropriate alternatives for urbanization and achieving comprehensive development of the city.

Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making.

Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective waste management strategies in the service industry. For this purpose, a novel fuzzy decision-making model is proposed that has two different stages. In this context, six JCI-based indicators are weighted by using sine trigonometric fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology. Additionally, a comparative evaluation has also been conducted with sine trigonometric fuzzy Criteria Importance Through Intercriteria Correlation (CRITIC) technique to check the reliability of the findings. On the other hand, five different strategy alternatives are selected by considering the principles of the integrated waste management hierarchy approach. These items are evaluated by considering sine trigonometric fuzzy Technique for Order Preference by Similarity (TOPSIS). On the other side, these factors are also ranked with the help of sine trigonometric fuzzy Additive Ratio Assessment (ARAS) to test the consistency of the results. The main contribution is that prior strategies can be presented to the hospitals to have appropriate waste management process by defining the most important factors. Criteria weighting and alternative ranking results are the same in all combinations. Therefore, it is seen that the proposed model creates coherent and consistent results. It is defined that efficient storage of waste is the key issue to have effective waste management process. Moreover, 'reduce' is found as the most critical stage of this process.

The Development of a 360-degree Evaluation Model of Medical Curriculum with the Kirkpatrick Hierarchy Approach

A 360-degree evaluation model of the medical curriculum was developed by adhering to the Kirkpatrick Hierarchy. To bridge the research gap pertaining to instrument development of 360-degree evaluation, a set of tools derived from various stakeholders’ perspectives was used. This mixed-method study in the sequential exploratory design involved 797 participants for two years, April 2017 to November 2019. The three study phases involved were: the qualitative phase (18 informants), the item construction phase with exploratory factor analysis (EFA) (298 participants), and the validation phase via confirmatory factor analysis (CFA) (481 participants by random sampling). In-depth interview sessions were conducted with two stakeholder groups; lecturers and preceptors. Focus group discussion (FGD) sessions were conducted with two other groups; medical students and patients at the teaching hospital. The item construction phase was executed based on the themes that emerged from qualitative findings. Lastly, the final validation stage was performed based on the EFA results. In total, 23 themes were derived from four stakeholder groups. In the item construction phase, 13 and 10 factors were identified for lecturer and student instruments, respectively. To build the preceptor and patient tools, 10 scales were used to validate the item constructs. Thus, the 360-degree evaluation model has four levels of Kirkpatrick Hierarchy with four instrument models. The 360-degree evaluation model is valid, well-constructed, and accurately reflects the indicator variables. The evaluation model is feasible and acceptable to assess the medical curriculum.

Institutions and Corporate Tax Evasion: A Review of the Literature and a Methodological Approach

ABSTRACT We first review the recent research published in the Journal of International Accounting Research (JIAR) on the influence of international institutions on accounting practices. We follow this with a discussion of the literature by studying the influence of institutions on tax avoidance and tax evasion. We then propose a new methodological approach that draws on the theory of institutional hierarchy proposed by Williamson (2000) and examine the relative importance of three broad types of institutions (informal, formal, and media) in curtailing perceived tax evasion activities. We contribute to the international accounting literature by summarizing the recent research that addresses tax avoidance and tax evasion and by providing preliminary evidence on how employing an institutional hierarchy approach can address the interdependencies between commonly used institutional factors. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: H26; G28; O16.

A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

AbstractSmart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies.

Treatment of hepatocellular carcinoma according to multiparametric therapeutic hierarchy approach: a prospective multicenter validation study

Treatment of hepatocellular carcinoma according to multiparametric therapeutic hierarchy approach: a prospective multicenter validation study

Examining medical urgent and patient precedence within the telemedicine landscape with its infrastructure and policies: A comprehensive review

Medical facilities are confronted with grave issues, including a population that is aging and a physician shortage. In an effort to address these issues, telehealth and remote health monitoring systems (RHMS) aim to reduce hospital visits by a small amount. RHMS lessens the workload for primary care patients and enhances inter-unit communication, which lessens the strain on emergency rooms. Due to significant advancements in mobile information transfer and processing of signal technologies, some healthcare researchers have made efforts to employ RHMS in place of hospital visits to provide triage and prioritization for individuals. Prioritization is a strategy for giving people urgent medical care in an attempt to save their lives, while clinical examination determines the severity of a sickness or damage. To emphasize the disadvantages of the present patient screening and prioritization system over the telehealth environment, a crucial inquiry is needed. Based on two crucial axes, an in-depth examination of patient prioritization and medical crisis assessment in a videoconferencing setting was provided in this research. First, a collection, analysis, and classification of earlier research on triage of patients and prioritization in this kind of setting was done. Second, a variety of priorities and standards, as well as various approaches and procedures for prioritization, were provided and examined. The subsequent outcomes were attained: The shortcomings and issues with the current patient prioritization and assessment methods were highlighted. The assessment and priority for individuals who have cardiac conditions were not presented. In the years to come, a structure based on the theory of evidence, as well as the incorporation of a multiple-layer analytical hierarchy approach and method for ranking preference due to resemblance to perfect solutions, can be used to prioritize the care of several patients with ongoing cardiovascular disease by triaging them based on various emergencies dimensions.

An analytical hierarchy approach for studying the impact of human error, environmental factors, and equipment failure on mine accidents: a case study in India

An analytical hierarchy approach for studying the impact of human error, environmental factors, and equipment failure on mine accidents: a case study in India

Exploring the Indian MSME perspective on integrating AI-enabled solutions in the recruitment process: an analytical hierarchy (AHP) approach

Exploring the Indian MSME perspective on integrating AI-enabled solutions in the recruitment process: an analytical hierarchy (AHP) approach

Exploring the Indian MSME perspective on integrating AI-enabled solutions in the recruitment process: an analytical hierarchy (AHP) approach

Exploring the Indian MSME perspective on integrating AI-enabled solutions in the recruitment process: an analytical hierarchy (AHP) approach

Estimating regulatory governance gaps for adoption of augmented reality in automobile sector: the application of analytical hierarchy approach

Estimating regulatory governance gaps for adoption of augmented reality in automobile sector: the application of analytical hierarchy approach

Estimating regulatory governance gaps for adoption of augmented reality in automobile sector: the application of analytical hierarchy approach

Estimating regulatory governance gaps for adoption of augmented reality in automobile sector: the application of analytical hierarchy approach

Building models to evaluate internal comprehensive quality of apples and predict storage time

Apple quality and customer satisfaction are significantly impacted by variations in apple quality throughout storage. In this study, the evaluation of apples' internal overall quality and the estimation of storage time were investigated. By using Pearson correlation analysis and an analytical hierarchy approach, an internal comprehensive quality index was created. A calibration model and a high-order kinetic model were created for the internal comprehensive quality index using the competitive adaptive reweighted sampling (CARS) algorithm in conjunction with partial least squares regression (PLSR) and in accordance with the results of fitting chemical kinetic reactions to variations in internal comprehensive quality with storage time. The calibration model and the high-order kinetic model were combined to create a prediction model for the storage time of apples. Results revealed that the determination coefficient of the prediction (Rp2) and root mean square error (RMSE) of the calibration model were 0.9419 and 0.0023 respectively, and a residual predictive deviation (RPD) of 5.77; the correlation coefficient (R) and RMSE of the higher-order kinetic model were 0.9620 and 0.0038 respectively; the Rp2 of the prediction model was determined as 0.8957, with a root mean square error of 4.63 d. Results show that the proposed calibration model and higher-order kinetic model are capable of evaluating the internal comprehensive quality of apples, and that the determined prediction model is capable of projecting the storage time of apples with an acceptable margin of error while still meeting the real requirements.

Spatial optimization of site selection for development tourism in hawraman area using Analytical Hierarchy Approach:

In this study, the analysis of the suitable places for the development of tourism in Hawraman region is done using the model (AHP). Hawraman region has most of the potential in terms of altitude, climate, water resources, vegetation cover, animals, wild birds, population and historical and religious sites, archaeological sites, caves, language and culture, gardening, construction, food and clothing ... etc, Hawraman has more than (25) tourism areas, some of which are currently visited by tourists from different parts of Kurdistan, Iraq and abroad. The statistics of the last four years of tourists to Hawraman are (86,050) thousand foreign tourists and (172,102) thousand domestic tourists. Therefore, the aim of the study is to develop a comprehensive development of the areas that have not been invested so far according to various scientific tools , such as according to this scientific study, (18) different natural and human criteria were used to produce a four-level map to determine the suitable location for tourism development in Hawraman, Which are the levels of (very suitable, moderately suitable, low and limited suitable, unsuitable) which accounted for (11.9%, 63.64%, 8.44% and 16.02%) of the total area of the study area.

On the Quartic Korteweg–de Vries hierarchy of nonlinear Rossby waves and its dynamics

A long-standing challenge in exploring the dynamics of large-scale atmospheric or oceanic motions is to find more appropriate theoretical models. This paper aims at the mechanisms of nonlinear Rossby waves by a new obtained nonlinear evolutionary equation hierarchy approach. The multiple scales method and weak nonlinear perturbation method are adopted based on the quasi-geostrophic potential vorticity conservation law for large scale atmospheric or oceanic motions. It is the first time that a Quartic Korteweg–de Vries model equation is derived to describe the propagation of nonlinear Rossby waves amplitude, which provides a new acceptable theoretical model for the study of atmospheric blocking phenomena. Qualitative and quantitative analysis for the new Quartic KdV model are finished to disclose the evolutionary mechanisms of nonlinear Rossby waves. The corresponding results declares that the β effect, topographic features and detuning parameter are all important factors on the nonlinear Rossby waves.