Use Of Analytic Hierarchy Process Research Articles

Evaluation of integrated threshing and drying design concepts for paddy rice using analytical hierarchy process

Threshing and drying are two major postharvest activities that contribute significantly to postharvest losses for small and medium-scale rice farmers, leading to food insecurity and hunger in Sub-Saharan Africa. Developing an appropriate system for threshing and drying needs urgent attention. The objective of the study involved the use of Analytical Hierarchy Process (AHP) for evaluation and selection of the best option among four design concepts for development and fabrication. The four design concepts shortlisted were: (1) batch flow biomass-powered manual threshing and drying system, (2) recirculating diesel-powered mobile threshing and drying system, (3) mechanized threshing with solar drying batch system, and (4) tractor-powered recirculating continues flow integrated system. For the MCAHP analysis, 17 attributes were proposed and divided into five main criteria. The evaluation of the main criteria showed that cost had the highest score, followed by performance, safety, ease of installation and operation, and manufacturability, with a global score of 0.560, 0.202, 0.108, 0.083 and 0.048, respectively. It was observed that design concept two received the highest weighted score of 0.35 and was selected as the design concept to proceed with. The consistency ratios of the main criteria and attributes were all less than 0.1, which is the allowable limit of inconsistency. In conclusion, concept 2 was selected as the best design for developing an integrated threshing and drying system for paddy rice and is recommended for development, fabrication, evaluation and optimisation. Int. J. Agril. Res. Innov. Tech. 14(1): 30-44, June 2024

Use of analytical hierarchy process for selecting and prioritizing islanding detection methods in power grids

One of the problems that are associated to power systems is islanding condition, which must be rapidly and properly detected to prevent any negative consequences on the system's protection, stability, and security. This paper offers a thorough overview of several islanding detection strategies, which are divided into two categories: classic approaches, including local and remote approaches, and modern techniques, including techniques based on signal processing and computational intelligence. Additionally, each approach is compared and assessed based on several factors, including implementation costs, non-detected zones, declining power quality, and response times using the analytical hierarchy process (AHP). The multi-criteria decision-making analysis shows that the overall weight of passive methods (24.7%), active methods (7.8%), hybrid methods (5.6%), remote methods (14.5%), signal processing-based methods (26.6%), and computational intelligent-based methods (20.8%) based on the comparison of all criteria together. Thus, it can be seen from the total weight that hybrid approaches are the least suitable to be chosen, while signal processing-based methods are the most appropriate islanding detection method to be selected and implemented in power system with respect to the aforementioned factors. Using Expert Choice software, the proposed hierarchy model is studied and examined.

PEMANFAATAN METODE ANALYTICAL HIERARCHY (AHP) DALAM SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BONUS AKHIR TAHUN

Determining the year-end bonus is a strategic decision for PT. Dankos Farma in motivating employees and achieving company goals. In this context, the Analytical Hierarchy Process (AHP) method has been implemented as part of the company's decision support system. This study evaluates the use of AHP by PT. Dankos Farma is in the process of determining year-end bonuses. Through AHP, relevant criteria such as individual performance, contribution to the team, and achievement of company targets can be analyzed systematically. The relative weight of each criterion is determined based on company priorities. Alternatives for awarding bonuses are evaluated taking these factors into account. By using AHP, PT. Dankos Farma can make more objective and measurable bonus decisions, increasing transparency and accountability in the process. Additionally, AHP allows companies to adjust bonus policies quickly to changes in corporate strategy or market conditions. In conclusion, the use of AHP by PT. Dankos Farma's decision support system for determining year-end bonuses has helped increase efficiency and effectiveness in decision making related to employee incentives.

Evaluation of Air Traffic Control Ability Based on Fuzzy Theory and Multiple Evaluation Model

This paper constructs the structural model of the system of air traffic controllers' comprehensive ability evaluation. The use of analytic hierarchy process to determine the weight of various indicators should have weight values. The construction of the controller comprehensive capacity assessment model, fuzzy comprehensive evaluation method can be used to weigh matrix and membership matrix corresponding transformation, and then determine the comprehensive capacity of the controller to evaluate the value. In the assessment process, the advantages of various methods are combined, enabling the comprehensive evaluation of the comprehensive capacity of the controller, making the results tend to be reasonable. The research shows that the evaluation results made by this method can provide decision-making basis for aviation safety management at all levels. Using the multiple evaluation model, the controller’s comprehensive ability evaluation model is established to evaluate the comprehensive ability of the controller.

Supplier Selection Modeling and Analysis in the Metal Casting Industry Using Analytical Hierarchy Process

This study presents a supplier selection problem of a raw material using an analytical hierarchy process. In the existing process, the delivery of raw materials experienced delays and impacted the production process. Therefore, this paper aims to determine the criteria for supplier selection and provide recommendations for the best vendor to be selected from the last request for quotation document. Analytical Hierarchy Process (AHP), as a multi-criteria approach, was utilized in this research, starting from determining criteria, the weight of criteria, and the final score for each supplier. Through discussions with the company’s expert, procurement department, and users, as well as a review of the previous studies, this research defined three criteria, each consisting of three sub-criteria. The AHP approach was utilized to evaluate and determine the weights for the three criteria, yielding the following results: quality (62%), price (28%), and delivery (10%). The identified criteria, sub-criteria, and respective weights are subsequently utilized in a supplier selection scenario. Three suppliers of mild steel raw materials were evaluated using the weights of the criteria and sub-criteria obtained. Supplier 1 was selected because of having the higher alternative value of 0.602. The use of AHP in supplier selection is often impractical and contains subjectivity. Therefore, further research can be performed by integrating AHP with other methods, such as weighted scoring, to facilitate further the vendor selection process and integration with other methods, such as fuzzy logic, to reduce subjectivity.

A Prioritization Method to Optimize School Operational Assistance Fund by Using AHP Approach

In Indonesia, education funding provided by the central government is made up of the components of personnel costs, investment costs, and operating costs. Since its implementation in 2005, the program has found several obstacles. It’s crucial to have an optimization tool to overcome the complications. The main problems that have arisen in the allocation of these funds so far have been lacking in planning and the lack of participation of the school ecosystem, in particular in determining the planning, planning documents and the priority scale of the projects. Program and activity plans based on the School Operating Assistance (BOS) platform. The Analytical Hierarchy Process (AHP) model is a prioritization approach based on determining the priority scale on the comparison of one option with another. The AHP model is a powerful but simple method that is usually used to make decisions. This approach has been implemented in various sectors, business, government, management, and education. In this study, the AHP model was used to determine the priority scale on the criteria of BOS allocated funds in the current year so that it could be absorbed optimally and can be utilized properly in its implementation for Vocational School activities. The results of the study show that the use of AHP makes it easier for school residents to prioritize the use of funds for school activities. Using the AHP model allows managers to record strategic goals using weighted criteria as the basis for prioritizing the use of funds. AHP can also work among different stakeholders in the school (principals, treasurers, teachers, and committee, parents/guardians) to participate in decisions about the use of BOS funds, to improve the quality and form of decision support taken to improve school performance.

THE APPLICATION OF ANALYTIC HIERARCHY PROCESS (AHP) FOR SELECTING COMMUNITY PROBLEMS: MULTICRITERIA DECISION- MAKING APPROACH ON ENVIRONMENTAL HEALTH ASPECTS

Addressing environmental health problems within communities necessitates an approach that considers multiple factors. A multicriteria method can identify useful decisions for carrying out alternative aspects of environmental health. This cross-sectional study illustrates the utility of the Analytic Hierarchy Process (AHP) technique, which is suitable for combining qualitative and quantitative factors across a wide area. This study aims to apply a multicriteria decision-making approach. Stakeholder opinions were collected and the Expert Choice software was utilised. The results showed that solid waste management was the most suitable alternative in addressing problems in the community, with a significance level of 34.3% (Consistency Ratio; CR ≤ 0.1). Other alternatives were wastewater management (26.8%), air pollution management (25.3%), water consumption and quality (8.1%), and food safety and sanitation (5.6%). This study recommends the use of AHP as a crucial tool for prioritising environmental management plans to allocate resources necessary to mitigate adverse environmental health aspects within the community

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

PurposeThe aim of this research was to evaluate the maturity level of strategic communication management implemented by Brazilian startups.Design/methodology/approachThis study employed the analytic hierarchy process (AHP), survey and Grey Fixed Weight Clustering modeling techniques. Three experts with extensive academic and practical experience in the subject participated in the AHP process, providing their opinions on the relative importance of eight variables associated with the topic under investigation, thus enabling their prioritization. Concurrently, data were collected through a survey from 23 respondents who have extensive knowledge about the realities of Brazilian startups. The weights derived from the AHP and the survey data were utilized in the Grey Fixed Weight Clustering modeling.FindingsBased on the opinions of the 23 respondents, the level of implementation of practices related to strategic management, brand management, external image management and internal communication management is superficial. In addition, according to the majority of experts, Brazilian startups exhibited a medium level of maturity to address the key challenges related to communication management. Furthermore, this study reveals that the variables “financial resources allocation,” “stakeholder relationship” and “brand management” were deemed the most significant for the model.Originality/valueThe contributions presented herein can be beneficial for both researchers and startup managers seeking to enhance communication strategies in their organizations. This research also contributes by highlighting how grey systems theory can be extremely useful for conducting decision-making analyses in the context of startups, which is characterized by uncertainty and imprecise information.

Assessing Asian Elephant Habitat Preferences in the Central Western Ghats Using GIS, Remote Sensing, and Analytical Hierarchy Process (AHP)

Geographic Information Systems (GIS) and remote sensing are geospatial technologies that have been widely utilized in environmental science for decades, including data collecting and analysis on animal physical disability, wilderness modeling, and site assessment. Remote sensing technology has been employed in the present investigation. GIS and Analytical Hierarchy Process (AHP) methods were used to assess the habitat preferences of Asian elephants. Use satellite imagery and topographic maps to create environments and habitats, including land use cover (LULC), static vegetation (Normalized Difference Vegetation Index), water, Digital Elevation models (DEM), line and aspect. Next comes the use of AHP to determine the location, select the location's priority and distribution pattern. This study examined the habitat preferences of Asian elephants in the Shakleshpur Taluk in the Central Western Ghats in the Karnataka district of Hassan.The results show that 16 percent of the land and 18 percent of the population is covered with forests. Most places have an altitude of 25° to 40° and an altitude of 800 m and 1000 m. The amount of water in the region is limited to the habitat of the elephants. Habitats inhabited by elephants highlight the need for good management inside and outside protected areas to protect these elephants, especially in areas of translocation, to ensure that habitats are compatible. This information will be useful to people working to safeguard Asian elephants and their surroundings in the Western Ghats.

Mapping Asian Elephant Habitat Suitability Index in Alur Taluk, Central Western Ghats: A GIS, Remote Sensing, and Analytical Hierarchy Process (AHP) Approach for Conservation Assessment

Geographic Information Systems (GIS) and remote sensing are geospatial technologies that have been used for decades in environmental science, including the collection and analysis of data on the physical disabilities of animals, and modelling of wilderness and site assessment. In this study, remote sensing technology was used. GIS and Analytical Hierarchy Process (AHP) methods were used to assess the habitat index of Asian elephants. Use of satellite imagery and topographic maps to create environments and habitats, including land use cover (LULC), vegetation (NDVI), water, and elevation models (DEM). Next comes the use of AHP to determine the location, select the location's priority and distribution pattern. This study used to evaluate Asian elephant habitat preference in the Central Western Ghats region of Alur taluk in Hassan district of Karnataka .The results show that 30 percent of the land is covered with forests and 59 percent of the land with population. Most places have an altitude of 8° to 25° and an altitude of 900 m and 1000 m. The amount of water in the region is not limited to the habitat of the elephants. Habitats inhabited by elephants highlight the need for good management inside and outside protected areas to protect these elephants, especially in areas of translocation, to ensure that habitats are compatible. This information will assist those involved in protecting Asian elephants and their environment in the central Western Ghats region.

Hierarchizing the Criteria of Construction Equipment Procurement Decision Using the AHP Method

Successful investment in construction equipment (CE) is a complex process as it involves the selection and prioritization of many criteria. Fleet managers, contractors, and technical companies search for maximum equipment profitability during the economic life of a machine. Decisions on when to replace a piece of equipment are characterized by many uncertain factors that are difficult to quantify. A literature review and a scientometric analysis are conducted, revealing a gap in the global research, concerning the hierarchy of the criteria in decision making, when coming to procure a CE. The purpose of this article is to address that void in the extant literature by proposing a holistic equipment procurement decision model. A scientometric analysis of the last 25 years is performed to investigate the use of analytical hierarchy process (AHP) in the thematic area. A modified decision model based on the AHP is developed to prioritize factors that determine decisions on equipment procurements. Unstructured interviews with academia, experts, original equipment manufacturers, and practitioners in the field are conducted in conjunction with an extensive literature review to determine the critical “soft” and “cost” factors incorporated in the model. It seems that this is the first integrated attempt to prioritize the “key” factors that determine decisions of equipment procurement.

Intelligent Calculation of Automobile Brand Power Score based on Analytic Hierarchy Process and Entropy Weight Method

In order to improve the brand power of national auto brands and build a strong country for national auto brands, based on the research of this paper, the use of analytic hierarchy process and entropy weight method is used to calculate the score of auto brand power. First, consult a large amount of information to determine the relevant indicator factors. Here, eight indicators are selected, respectively from market research data and sales-related market-side data. Then, the AHP + entropy weight method is used to calculate the first-level index score of the user terminal according to the questionnaire questions of the second-level index. Secondly, on the basis of eight index scores, the entropy weight method is used to calculate the first-level index weight, and the weighted sum method is used to calculate the brand power. Finally, four brands are used for experimental verification, and the results meet the actual situation. Therefore, the method studied in this paper can be used as a reference for promoting brand power.

A hybrid AHP-MAUT model for assessing competitiveness of construction companies: a case study of construction companies in Vietnam and Canada

PurposeThe construction industry is facing an enormous number of challenges due to continuous advancements in construction technologies and techniques. Hence, construction management theories have to confront critical newly issues concerning market globalization and construction innovations. The key factor to address these challenges is to ameliorate the competitive abilities of the competing construction firms. In this context, measuring competitiveness of construction firms is an efficacious approach to amplify their competitive growth and profitability. To this end, the purpose of this research paper is to design a three-tier multi-criteria decision making model for competitiveness assessment and benchmarking of construction companies, meanwhile tackling a wide range of essential factors and attributes that covers broad aspects of the present competitive market.Design/methodology/approachIn the first tier, four new pillars (4P) of competitiveness assessment are introduced for construction firms, namely, organization performance, project performance, environment and client and innovation and development. These pillars are able to aid in construction firms’ management on both long and short term basis. Hence, 21 key competitive factors and eighty key competitive criteria are identified, incorporated and analyzed in this research study. The second tier encapsulates carrying out a questionnaire survey in the Canadian and Vietnamese market to garner two main sets of information. The first set of information incorporates responses of the pairwise comparisons between competitiveness factors and criteria. The second set involves gathering utility scores pertinent to each competitiveness criteria. The developed model then leverages the use of analytical hierarchy process to scrutinize the relative importance priorities of competitiveness factors and criteria. The third tier of the developed model encompasses the use of multi-attribute utility theory to compute competitiveness scores for construction companies through blending criteria’ relative importance weights alongside their respective utility functions. In addition, the third tier comprises conducting a sensitivity analysis to derive the most important criteria influencing the overall competitiveness of construction companies. The developed model is tested and validated using three case studies; one construction company from Canada and two construction companies from Vietnam.FindingsResults demonstrated that the developed model has a potential to render a synthesized and methodical performance evaluation for the competitive ability of a given construction company. Furthermore, it was found that Vietnamese companies are more considerate towards pillars pertaining to environment and client while Canadian companies are more attentive towards innovation and development. The outcome of sensitivity analysis revealed that effectiveness of cost management highly affects the competitive ability of Vietnamese companies while effectiveness of cost management exhibits the most significant influence on the competitive of Canadian companies.Practical implicationsThe developed model can benefit construction companies to understand their competitiveness in their market and diagnose their strengths and weaknesses. It is also can be useful in efficient utilization of their limited resources and development of sustainable and long-term strategic plans strategic plans, which consequently leads to maintaining better position in their dynamic business markets.Originality/valueLiterature review manifests that reported competitiveness assessment models and practices are not able to address present challenges, technologies and developments in construction market.

Use of analytic hierarchy process and four-component instructional design for improving emergency response exercises

Emergency response exercises are a common means for improving the preparedness and resilience of organizations and communities in the face of disasters. It is important to develop an instructional design that can facilitate evaluation and the learner's approach. This study introduced a model based on the Analytic Hierarchy Process to optimize instructional designs for emergency response exercises. This study aimed to propose a procedure to identify the necessary exercise targets and select suitable implementation methods by objectively summarizing the knowledge of emergency management professionals. This model was tested using fire and rescue exercises in a traditional market and an apartment complex in early 2021 in Hai Phong, Vietnam. Our model enables practitioners to determine the need for improvement in any element, allowing for continuous improvements in exercise programs.

Hidden hazard weight analysis and safety assessment of fire protection in residential areas

To evaluate the current situation of fire safety in domestic high-rise residential communities, the community, which integrates high-rise residential buildings, office buildings, and shops, was deliberately selected as an example to conduct fire safety assessment. Combined with the current domestic and foreign fire safety assessment methods and practical application of the review, the establishment of the community at all levels of the evaluation index system, the use of analytic hierarchy process (AHP) for fire safety assessment of the community. Results showed that the fire hydrant system and automatic fire alarm linkage system played a decisive role in the fire safety of the community. To perfect community fire safety assessment, and reduce the plot to fire safety risk, enhance the level of community comprehensively, can not only enhance residents on fire control safety knowledge, and the exact analysis of problems existing in the community fire and handled in time, but also strengthen fire safety management, enhanced the safety awareness of the people.

Renewable energy solutions based on artificial intelligence for farms in the state of Minas Gerais, Brazil: Analysis and proposition

Rural areas have great renewable energy potential. With an introduction to sustainable development goals, the smart farm concept presents a novel idea for providing energy in rural areas using artificial intelligence and renewable energy management. We proposed the following topics in this research: (i) methodologies for sizing generation systems by integer linear programming, (ii) use of analytic hierarchy process (AHP) to select the alternative source by financial, environmental, social, and physical criteria, and (iii) training of an artificial neural network (ANN) for process optimization based on the agroeconomic profile of farms. We applied the proposed generic methodology to farms in São Francisco do Glória, Brazil. The biomass, solar, and wind systems were indicated by AHP for implementation in 62.16, 15.32, and 22.52% of farms, respectively. The best configuration of ANN presented a maximum precision of 81.80 ± 3.36%. If the systems were to be implemented, 1.975 GWh yr−1 would be generated, 435.23 tonnes of CO2 would no longer be emitted per year, and a CO2 credit of 366.62 tonnes yr−1 would be injected into the national electric system. Public policies are necessary for this scenario to become a reality in Brazil, such as research incentives and market development.

Use of Analytical Hierarchy Process (AHP) and Palmer Drought Severity Index (PDSI) to detect drought patterns (Dhi Qar-Iraq) study case

Use of Analytical Hierarchy Process (AHP) and Palmer Drought Severity Index (PDSI) to detect drought patterns (Dhi Qar-Iraq) study case

Analysing dimensions and indicators to design energy education framework in Malaysia using the analytic hierarchy process (AHP)

In order to progress towards a more sustainable energy future, Malaysia should reduce its reliance on fossil-based energy sources and shifting to green and renewable energy. Therefore, focus on energy education awareness programmes emphasising sustainable behaviours and frameworks are required. These programmes connect with Sustainable Development Goal 7 of the United Nations, which is to provide affordable and clean energy. In this study, dimensions and indicators of a framework for energy education were studied and evaluated in an effort to improve decision making. This study systematic approach comprised a review of relevant literature and consultation with an ad hoc panel of energy education experts via surveys, interviews, and questionnaires. This study also included an analytic hierarchy process to evaluate the framework’s criteria selection, alternative indicators, and priority or weights. The results indicated that the “Aim to minimise climate change” dimension is deemed the most essential criterion for selecting energy education dimension criteria. On the other hand, “National policy makers” is the most essential stakeholder across all parties. It has been determined that the use of analytic hierarchy process to the design of the framework for energy education in Malaysia could help simplifies a systematic decision-making process.

Impact of coal mining on land use dynamics and soil quality: Assessment of land degradation vulnerability through conjunctive use of analytical hierarchy process and geospatial techniques

AbstractCoal is the major source of energy in India, where 66% of the thermal power is generated from different grades of coal. The surging energy demand for domestic and industrial sectors has accelerated coal production through intensive coal mining from existing mines and there is exploration for potential areas across the Country. More than 80% of the coal excavated from open cast mining, which is a damaging form of mining that is often associated with undesirable land use changes, soil degradation, and deforestation and is responsible for other environmental degradation. The present study has been conducted in Manendragarh coal mining area located in northern Chhattisgarh, Central India using the analytical hierarchy process (AHP) and geospatial tools. LANDSAT‐TM and OLI satellite data from 1990 and 2020 were digitally analyzed applying a maximum likelihood supervised classification technique in ERDAS IMAGINE and Arc‐GIS platforms. Spatial analysis of satellite data revealed that the area under forest, agriculture‐fallow, and waterbodies fell by 14.5%, 12.9%, and 2.52%, respectively, due mainly to conversion into degraded land, while the mining area and built‐up areas were proportionally enhanced by 3.2% and 0.59% between 1990 and 2020. The intense mining resulted in deterioration of soil health, where the organic C, pH, and soil depth were considerably decreased in mined sites and degraded lands, compared to agricultural and forest areas. The major determinant biophysical, topographic, and soil factors were integrated in a GIS platform to derive a land degradation vulnerability index (LDVI), which identified five vulnerability classes. The salient findings of study provides the critical inputs for the policy makers/environmentalists in prioritization and decision‐making for implementing remedial measures for the eco‐restoration of mining degraded landscapes and also the improvement of ecology and environment along with sustainable coal mining.

Identifying and analyzing the barriers of Internet-of-Things in sustainable supply chain through newly proposed spherical fuzzy geometric mean

Many industrial firms have gained strategic benefits from the use of IoT in supply chain (SC) and operations, but still, several firms are reluctant in applying this technology in their firm. Therefore, this study is going to identify and analyze the most influential barriers faced by firms during the adoption of IoT in attaining sustainable SC. The novelty of the current research work is the use of Analytical Hierarchy Process (AHP) under spherical fuzzy set to assess those identified barriers which are linked with IoT implementation in the context of sustainable SC. Compared to previously developed extension of fuzzy sets such as Intuitionistic and Pythagorean fuzzy sets, Spherical fuzzy set uses three dimensional membership functions capable of handling more uncertainty and ambiguity of preference given by the decision makers. The barriers are analyzed by segregating them into four major categories i.e. economic, organisational, environmental, and technological barriers. In terms of computational complexity the proposed spherical fuzzy AHP is much simpler to the previously developed spherical fuzzy AHP, as it utilizes the newly proposed Spherical Fuzzy Geometric Mean to compute the final score of the barriers. It is found that economic factor is the most influential factor among organizational, environmental and technological barriers. Overall operational cost and financial constraints/insufficient budget are the two most influential factors or major cause which acts as a hurdle in implementing IoT in the context of sustainable SC. The analysis on the crucial barriers in the adoption of IoT in sustainable SC suggest that financial rewards and compensations should be provided to the firms who adopted green material and green devices in IoT technologies.