Combination Of Analytic Hierarchy Process Research Articles

The model of decision support system using hybrid method and actual weighting for the study program ranking

Nowadays the good or bad study program can be seen from the accreditation rank that it obtains from the institution of college accreditation. However, it is frequently found at college that there are some study programs that have the same accreditation. This encourages the college to do another approach which can do this study program ranking from a different point of view. This research developed a model of decision support system to do ranking towards 25 study programs existed in the environment of Sriwijaya State Polytechnic. Hybrid method employed the combination of analytical hierarchy process (AHP) and simple additive weighting (SAW) to do the ranking. Actual weighting model was used in the calculation based on the fact obtained in each study program, and in line with the criteria which had been determined. As many as 7 relevant criteria and 21 sub criteria were used in this model. The results of this research showed that the model which had been developed can give recommendation in the form of study program ranking with actual condition based on the data attached to each study program.

Digitalization of Small and Medium-Sized Hotels in Vietnam: Interdependent Critical Factors

People responsible for managing digitalization must clarify the role of its critical factors. Many studies have already identified these factors, assuming that they are independent. These factors, however, are likely to interact since digitalization is a multi-stakeholder and multi-dimensional transformation. Ignoring their interactions is likely to cause biases in measurement and analysis. Therefore, this study explores the influential weight and interactions of the critical factors behind the digitalization of Vietnam’s small and medium-sized hotels. According to the technology-organization-environment (TOE) framework, the results of a combined analytical hierarchy process (AHP) and the decision-making trial and evaluation laboratory (DEMATEL) analysis present four key findings: 1) technological context is a cause, but organizational context is an effect, while environmental context is neutral; 2) technological context has influence than others; 3) among the 12 critical factors identified, marketing benefits, financial resources, usage barriers, and cross-technology compatibility are the most important; and 4) marketing benefits, cross-technology compatibility, financial resources, organizational characteristics, and competitor pressure are causes. The findings show that contexts (factors) interact. Cause context (factor) directly and indirectly influences digitalization through other contexts (factors). In addition, there are no dominant contexts and factors. Accordingly, to be effective, digitalization needs to take all critical factors into account. Prioritizing the primary context (factors) and improving the core cause context (factors) are therefore appropriate.

Hierarchical fuzzy comprehensive evaluation of prevention and control level of occupational hazards in coal mines

Objective: To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines. Methods: In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average. Results: The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good. Conclusion: The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

Supplier Selection System Using Fuzzy Analytical Hierarchy Process Method for Shirt Raw Materials

The company has several suppliers to meet the needs of raw materials for t-shirt products. Currently, the selection of suppliers is considered not optimal because there are still problems that result in hampering the production process. Therefore, companies need the right way to select suppliers. This problem can be overcome using the Fuzzy Analytical Hierarchy Process (F-AHP) method. This method is a combination of Analytical Hierarchy Process (AHP) method with fuzzy concept. Fuzzy overcomes the weaknesses of the AHP method, minimizing the level of subjectivity in an assessment of AHP to get more accurate decision results. The result of F-AHP method is supplier priority with more objective results based on priority selection criteria.

Location Based Service Technology in Mapping Tourism Potential with a Combination of AHP and Profile Matching Methods

Background: Palangkaraya is a city that has a variety of natural beauty and culture. However, the tourism potential in this area is still not fully optimized and managed properly. One of the causes of this is the lack of ownership by the Government regarding the mapping of areas that have the potential to become tourist areas in Palangkaraya City. Therefore a system is needed that can assist the Government in mapping areas that have the potential to become tourist areas
 Objective: Develop a system that can be used to map areas that have the potential to become tourist areas. The information generated from the developed system is expected to assist the government and the private sector in increasing tourism in Palangkaraya City.
 Methods: The method used is the application of Location Based Service technology with a combination of Analytical Hierarchy Process and Profile Matching methods.
 Result: The system developed uses 10 criteria with 37 alternatives to produce information related to the sequence of tourism potential levels where the results of the sequence are then displayed on a map to provide an overview of the mapping of tourism potential areas.
 Conclusion: The system that has been created has succeeded in mapping areas that have tourism potential by applying LBS technology and a combination of AHP and Profile Matching methods. From this system it was found that blood with the alternative code A1 had the highest value, namely 4.295193, followed by A10 with a value of 4.156934 and so on. The test results were carried out by comparing the results of the system with the calculation results, it was found that the results were appropriate.

Performance evaluation and multi-objective optimization for alkali-activated slag concrete with recycled aggregate

This study aims to investigate the effect of combined alkali-activators and alkali contents on the engineering and sustainability performance of the alkali-activated slag recycled concretes (AASRCs). The optimal activator type and its alkali content were identified using a combined analytic hierarchy process and integrated performance degree (IPD) model from a decision-making perspective. Three activators were selected, i.e., water glass (WG), combined WG and sodium carbonate (WN), and combined calcium oxide and sodium carbonate (CN). The alkali contents of activators were determined as 4%, 5%, and 6% in terms of the mass ratio of Na2O to binder. The results showed that WG-activated concrete (WGC) obtained the highest slump and compressive strength, and followed by WN-activated concrete (WNC) and CN-activated concrete (CNC). The autogenous shrinkage of CNCs drastically reduced compared to those of WGCs and WNCs. Moreover, CNCs exhibited obvious advantages over WGCs and WNCs in energy consumption, environmental impacts, and life-cycle cost. The AASRCs with higher alkali content generated greater environmental and economic impacts. The CNC with an alkali content of 4% showed the highest IPD value of 0.727 and obtained the optimum overall performance. This study extends the knowledge of the effect of combined activators on AASRC performance, and proposes a framework incorporating engineering, environmental, and economic aspects to optimize the activator type and its alkali content.

Optimization of Warehouse Selection with SWOT and AHP Methods in the Pulogadung Industrial Area

This study aims to analyze the factors that influence the determination of location and warehouse space in Pulogadung Industrial Estate, Jakarta, using a combined SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) and AHP (Analytical Hierarchy Process). The research method applied is qualitative. Participants in this study were leaders of companies operating in the Pulogadung Industrial Estate. Data was collected through the use of SWOT questionnaires and AHP questionnaires given to respondents. SWOT data is analyzed using Excel software, while AHP data is analyzed using Super Decision software. The results revealed that factors that affect the determination of warehouse location and space in the Pulogadung Industrial Estate include proximity to the main road, centralized warehouse location, proximity to the goods distribution terminal, proximity to the port, and efficiency of warehouse maintenance costs. SWOT and AHP analysis show the importance of the determinants of the location of the Pulogadung Industrial Estate, Jakarta. The most important "strength" factor is the location of the warehouse close to the main road, while the "weakness" factor that needs to be avoided is the high cost of renting the warehouse. The "opportunity" factor that must be exploited is the application of modern technology, and the "threat" factor that needs to be avoided is the emergence of more efficient warehouse maintenance costs in competitors' warehouses. This research provides important insights for companies operating in the Pulogadung Industrial Estate in determining the location of their warehouses.

Developing a spatio-temporal interactions model for car crashes using a novel data-driven AHP-TOPSIS

We have proposed a data-driven method for spatio-temporal analysis of car crashes based on the Multi Criteria Decision Making (MCDM) procedure in the Zanjan city, NW Iran which are recorded in the period 2019–2020. A combination of Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used in this paper to accurately identify the spatio-temporal interactions exist in car crashes. A data-driven AHP-TOPSIS procedure is arranged based on assigning proper weights to the time series related to the peak of accidents. On the other hand, for spatial analysis, the Kernel Density Estimation method was used to create the continuous-value maps of different traffic accidents and then classified using Natural Breaks Classifier. In fact, the proposed methodology can be used to identify car crash hotspots by considering spatio-temporal interactions as well as addressing exaggerated weightings arising from knowledge-driven modeling. By using the spatio-temporal interaction maps in which the location and time of crashes are considered, simultaneously, it is possible to provide a new scientific strategy for identifying car crash hotspots which can lead to better traffic management, improved allocation of resources, and enhanced prevention regulations.

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

This study proposes a scientific method to assess the rationality of planning and design of self-sufficient wind power systems (SS-WPSs) at ports. The evaluation method proposed is based on the concept of integrated development of water transportation and a clean energy system, taking into account the demand of the former and the availability of the latter. First, the factors representing the property of the system from the perspectives of economy, environment, energy efficiency, self-sufficiency, and reliability are calculated. The evaluation method is developed by using a combined Analytical Hierarchy Process and Entropy Weight Method (AHP-EWM) to calculate the subjective and objective weights of these factors. Subsequently, a combined weighting method based on game theory is employed with the aim of minimizing deviations between the subjective and objective weights and the combination weights, thereby determining the optimal combination of weights of the evaluation factors. These weights will be used to calculate evaluation results under different planning schemes. To validate the effectiveness of the method, a case study is developed based on a wind power energy demonstration project at a dock of a container port. Study results reveal that Option C, considered in this study, outperforms other options with the highest evaluation score of 0.737. Sensitivity analysis further underscores the reliability of Option C, showing a robust 96.15% probability of achieving the maximum final score within a 20% variation range. This indicates that the case study demonstrates that intuitive and realistic evaluation results can be obtained from the proposed method. These results affirm the practicality of our approach, providing invaluable insights for planners, policymakers, and stakeholders involved in sustainable energy initiatives.

Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability.

Risk assessment is an effective means to alleviate urban flood disasters and has attracted the attention of many studies. However, most previous studies about urban flood risk assessment often focused more on urban inundation area and depth, less on the inter-relationship of the components of risk. In this study, an urban flood risk assessment approach that characterizes the relationship among the three components of risk "hazard-exposure-vulnerability" (H-E-V) is developed. Firstly, eleven flood risk indicators are selected based on the flood simulation results of urban flood model and statistical data to establish the urban flood risk assessment index system. Then, the combination of analytic hierarchy process (AHP) and entropy weight method is employed to determine the weight of each indicator and the comprehensive urban flood risk is assessed. Most importantly, the coupling coordination degree model (CCDM) is used to reveal the relationship among H-E-V. After applying this method to Haikou city, China, the results show that the comprehensive effect and the coupling coordination degrees among H-E-V have a multidimensional impact on urban flood risk. For example, some sub-catchments, although at high risk of flooding, may experience a potential waste of resources. Urban flood assessment can be made more detailed and three-dimensional by comparing hazard, exposure, and vulnerability horizontally. Understanding and grasping the internal relationships among these three risk components can help implement flood prevention measures, optimize the allocation of flood prevention resources, and effectively reduce urban flood risks.

Sensitivity Comparison of AHP with The Combination of AHP and SAW for Facial Wash Recommendation System based on Skin Type

Purpose: This research aims to design a facial wash recommendation system based on all skin types, namely normal, dry, oily, combination, and sensitive. This is to tackle the limitation of previous systems that were developed based on limited skin types which are normal, dry, and oily using Promethee II, Fuzzy Logic, and SAW methods.Design/methodology/approach: This research uses the Analytic Hierarchy Process (AHP) method and a combination of AHP and Simple Additive Weighting (SAW) to consider the importance values of each criterion. Four criteria data are used, namely price, rating, content, and availability, along with 70 alternative data of facial wash products.Finding/Result: Sensitivity testing was conducted on both methods, and the combination of AHP and SAW produced a higher sensitivity percentage, which is 67.51%, whereas the AHP method provided a lower sensitivity percentage of 59.26%.Originality/state of the art: The combination of AHP and SAW is an innovation in designing a facial wash recommendation system, and the research results demonstrate that the combination of AHP and SAW is a superior method for recommending facial wash products.

Optimal selection of cloud manufacturing resources based on bacteria foraging optimization

ABSTRACT As a service-oriented manufacturing paradigm, cloud manufacturing (CMfg) combines the computing resources the manufacturing resources respectively from the Internet and enterprises into a huge shared resource pool for network-based distribution of manufacturing resources and manufacturing tasks. In order to reduce the number and complexity of resource pools in CMfg, it is necessary to simplify the process, save manufacturing resources, shorten the production time and improve the productivity of enterprises. Therefore, a method for the optimal selection of cloud Manufacturing resources based on bacterial foraging optimization was proposed in this paper. First, a scheme evaluation system based on the evaluation factors of production cost, production time and processing quality was established, and a mathematical model of resource optimization selection was built. Secondly, a combination of Analytic Hierarchy Process (AHP) and entropy weight method was used to obtain the weights of different evaluation indicators, and a bacterial foraging optimization algorithm (BFO) was used to optimize the scheme. Finally, an example study of the method was conducted with the NGW51 reducer as an example. By comparing with existing methods, the experimental results verify the advantages of BFO in CMfg resource optimization selection.

Combination of AHP and SMART Methods in Determining Recipients of Direct Village Fund Cash Assistance

Village Fund Direct Cash Assistance (BLT-DD) is cash assistance provided by the government to eligible residents through Village Officials whose recipients are determined based on many criteria. The process determine who is the most eligible citizen to be the recipient of BLT-DD takes a long time because of the large number of residents and the existence of several criteria used. There is a need for a decision support system that can assist village officials in choosing who is entitled to receive BLT-DD assistance. In this study, the application uses the Analytical Hierarchy Process (AHP) and Simple Multi Attributee Rating Technique (SMART) methods. The criteria used are, get assistance, income, floor area, type of floor, type of wall, and education. By using the AHP method, it is possible to optimize the weighting of the criteria and the SMART method to produce a ranking of residents who are entitled to receive BLT-DD. The results of the study indicate that this application can be used to provide recommendations to village officials in determining BLT-DD recipients.

A novel method for the site selection of large-scale PV farms by using AHP and GIS: A case study in İzmir, Türkiye

Effective and sustainable climate-friendly policies to reduce carbon dioxide emissions in line with the 2020 European Green Deal are necessary. Accordingly, renewable energies assumed a critical role, rendering the site selection of these systems very crucial. The present study proposes a novel approach to the site selection of large-scale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic information system (GIS). In the study, the weights of criteria used for selecting solar PV panels are adjusted according to the installed capacity of the PV plant. The land of cost is included as a criterion in the AHP for the first time in PV plant site selection. Besides, a novel method called optimality-based site growing (OBSG) is introduced to further analyze the suitable sites obtained from GIS simulations and to determine the most suitable locations of PV farms. The proposed method is demonstrated with a case study of Türkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.

ADPMDesign: The use of a Participatory Methodology to design a dry anaerobic digestion power plant for municipal solid waste treatment

This work proposed the use of a Participatory Methodology to design a biogas-based power plant (ADPMDesign). The power plant treats the organic waste from Sabana Centro, Colombia. ADPMDesign considered the involvement of relevant stakeholders in different tasks during the design process. Stakeholders included researchers, biogas producers, members of the community, waste collector associations, representatives of local public services companies, and environmental entities. Researchers evaluated technical feasibility through pilot-scale experiments. Interviews with other stakeholders of Sabana Centro enabled the identification of two different production scenarios to forecast organic fraction of municipal solid waste generation capacity in Sabana Centro by 2030. The final use of the biogas produced during anaerobic digestion was defined through the application of a combined Analytical Hierarchy Process with Benefit Opportunity Cost and Risks in focus groups with relevant stakeholders. Then, workshops with biogas producers in the United Kingdom allowed the identification of key lessons based on their experience to improve the process design. After applying ADPMDesign, the best biogas production scenario was determined. Stakeholders in Sabana Centro, including the Municipal Government of the eleven municipalities and public service companies, should collaborate to build a single municipal plant for processing organic waste from all eleven municipalities instead of three small-scale biogas plants. This approach would not only be more efficient, but it would also facilitate better coordination and management of resources. The plant will have a capacity to treat 126.22 t/day and a power generation capacity of 3659 kW providing electricity for around 12,000 homes. The estimated cost of energy production is 78.92 COP/kWh (0.017 USD/kWh), and a payback time of 4.8 years could be achieved dispatching electricity to the national grid and selling fertilizers to local farmers.

A multi-objective optimization approach for integrated risk-based internal audit planning.

Annual audit planning is a multi-criteria decision-making problem faced by internal audit departments of all organizations. Due to the constrained audit resources, the planning process primarily involves the analysis and evaluation of complex factors for selecting auditable units that maximize the full potential of internal audit. Previous research on internal audit planning only focused on the goal of risk minimization and applied ranking methods to prioritize alternatives. In order to enable internal audit activities to add more value to the organization, the integrated risk-based internal audit planning is proposed to assist audit department in achieving multiple objectives in addition to risk management. Meanwhile, a multi-stage framework is proposed to support the development of such value-added internal audit plan. The new framework integrates the risk assessment of auditable units with the selection of audit activities and resource allocation through a combined analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE) and weighted multi-choice goal programming (WMCGP) approach. The model considers both qualitative and quantitative decision criteria. A real-life case study of the development of an integrated risk-based annual audit plan is presented, and sensitivity analysis is performed to illustrate the validity of the proposed approach. The results indicate that the proposed framework is a useful tool for internal audit planning and the implications of the study can be extended to various selection and allocation problems.

GIS-Based Risk Assessment of Structure Attributes in Flood Zones of Odiongan, Romblon, Philippines

Flood triggered by heavy rains and typhoons leads to extensive damage to land and structures putting rural communities in crucial condition. Most of the studies on risk assessment focus on environmental factors, and building attributes have not been given attention. The five most expensive typhoon events in the Philippines were recorded in 2008–2013, causing USD 138 million in damage costs. This indicates the lack of tool/s that would aid in the creation of appropriate mitigation measure/s and/or program/s in the country to reduce damage caused by typhoons and flooding. Hence, this study highlights a structure vulnerability assessment approach employing the combination of analytical hierarchy process, physical structure attributes, and existing flood hazard maps by the local government unit. The available flood hazard maps were layered into base maps, and building attributes were digitized using a geographic information system. The result is an essential local scale risk map indicating the building risk index correlated to the structural information of each exposed structure. It was recorded that of 3094 structures in the community, 370 or 10.25% were found to be at moderate risk, 3094 (76.79%) were found to be high risk, and 503 (12.94%) were very high risk. The local government unit can utilize the resulting maps and information to determine flood risk priority areas to plan flood mitigation management strategies and educate people to improve the structural integrity of their houses. A risk map gives people an idea of what to improve in their houses to reduce their vulnerability to natural disasters. Moreover, the result of the study provides direction for future studies in the country to reduce loss and enhance structure resiliency against flooding.

Ecological security evaluation and early warning in the water source area of the Middle Route of South-to-North Water Diversion Project

Ecological security has important influence on regional sustainable development. The ecological security of Nanyang, the water source area of the Middle Route of South-to-North Water Diversion Project, was threatened because of surface water pollution. The existing studies had not been able to comprehensively assess the ecological security and future trend of water source area. In order to promote the high-quality development of the follow-up projects of the South-to-North Water Diversion project, it is very important to probe into the current situation and predict the future trend of ecological security in the water source area. Therefore, this paper constructed an ecological security evaluation index system based on the Driving force, Pressure, State, Impact and Response (DPSIR) model, used the combination of Analytic Hierarchy Process and- entropy weighting method to evaluate the ecological security of each district and county in Nanyang from 2000 to 2020, and used the auto regressive integrated moving average (ARIMA) model to predict the ecological security of the water source area from 2021 to 2030. The results demonstrated that: (1) The ecological security of Nanyang had changed from a moderate warning to a general safety, and the ecological security index had improved. The ecological security level of Nanyang would improve continuously from 2021 to 2030. (2) The northwest area and the central area of Nanyang had better ecological security states, while the southeast area wasn't so. Based on the results, the countermeasures for improving ecological security were proposed.

Evaluation of waste management and energy saving for sustainable green building through analytic hierarchy process and artificial neural network model

A significant portion of the solid waste filling landfills worldwide is debris from construction and demolition projects. Across the world, a significant portion of the solid waste filling landfills is made up of construction and demolition waste. Recycling construction waste may help cut down on the quantity of waste sent to landfills and the requirement for energy and other natural resources. To help with construction waste reduction, a management hierarchy that begins with rethink, reduce, redesign, refurbish, reuse, incineration, composting, recycle, and eventually disposal is likely to be effective. The objective of this research is to investigate the viability of the Analytic Hierarchy Process (AHP) as a data gathering instrument for the development of a solid waste management assessment tool, followed by an examination of an artificial neural network (ANN). Using a standardized questionnaire, all data was gathered from waste management practitioners in three industry sectors. The survey data was subsequently analyzed using ANN and later AHP. The suggested framework consisted of four components: (1) the development of different level structures for fluffy AHP, (2) the calculation of weights, (3) the collection of data, and (4) the making of decisions. An ANN feedforward with error back propagation (EBP) learning computation is coupled to identify the association between the items and the store execution. It was found that the combination of AHP and ANN has emerged as a key decision support tool for landfilling, incineration, and composting waste management strategies, taking into account the environmental profile and economic and social characteristics of each choice. Composting has the highest sustainable performance when a balanced weight distribution of criteria is assumed, especially if the environmental component is considered in comparison to the other criteria. However, if social and economic features are addressed, incineration or landfilling have more favorable characteristics, respectively.

Assessment of soil fertility for wheat using combined Fuzzy and AHP techniques in Udham Singh Nagar of Uttarakhand, India

Assessing soil fertility is crucial for developing effective soil management strategies that can enhance soil health, increase crop productivity, and promote sustainable agricultural practices. The current study was conducted to assess the soil fertility index and, to prepare a soil fertility zonation map using combine fuzzy and analytical hierarchy process (AHP) approaches in Udham Singh Nagar of Uttarakhand. Sixty GPSbased surface soil samples were collected (0-30 cm depth) from different locations, and analyzed chemical properties using a stratified multistage random sampling method and maps were prepared to identify their spatial distribution. The results show that the values of soil fertility index on the fuzzy scale (0-1) was varied from 0.04-0.62 and, therefore, the study area was classified as very low, low, and moderate soil fertility classes comprising 55.61%, 44.24% and 0.14%, respectively. AHP analysis revealed that the most important limiting factor for wheat production was available nitrogen, followed by phosphorous, potassium, organic carbon, pH and electrical conductivity. A correlation coefficient between wheat yield and soil fertility index was found to be as high as 0.86, and its validating the zonation of soil fertility classes. This study infers that combined fuzzy-AHP techniques may be used to compute soil fertility index and limiting factors of wheat production.