Analytic Hierarchy Process Model Research Articles

Development of rejuvenator using waste vegetable oil and its influence on pavement performance of asphalt binder under ultraviolet aging

With the development of road engineering, the shortage of resources and road damage are becoming increasingly serious. In this research, The regeneration effect of a rejuvenator on the ultraviolet (UV)-aged asphalt is tested. The rejuvenator is composed of base oil, plasticizer, toughener and petroleum resin. The recovery performance of aged asphalt inareas with strong UV light is compared using indoor asphalt aging tests. A representative UV aged asphalt is selected for experiments. The basic performance of regenerated asphalt with the mixed ratio of different materials is measured using penetration, softening point, and ductility tests. The orthogonal test design (OTD) and analytic hierarchy process (AHP) model are established, and the optimal match design of a rejuvenator is obtained. The performance of UV aged asphalt before and after regeneration is tested by dynamic shear rheology (DSR) and the Fourier Transform Infrared Spectroscopy (FTIR) test. The results show a strong link between the asphalt from the areas with intense UV light and the asphalt after indoor 50 h UV aging. Waste vegetable oil (WVO) is selected as the base oil for the rejuvenator. The proportion of plasticizer in the WVO was determined to 30% based on OTD-AHP model optimization, the toughening agent is 4%, and petroleum resin is 9%. The high-temperature performance of asphalt can be improved with a reasonable regenerative agent dosage. The FTIR test shows that the rejuvenator can dilute carbonyl and sulfoxide groups in aged asphalt, soften asphalt and restore asphalt pavement performance. The results of this study can be applied to the asphalt regeneration to provide road remediation measures for asphalt deterioration in high UV areas.

The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection

Two multi-criteria decision making approaches were implemented in this paper for selecting a U.S. university considering the industrial engineering doctorate degree as a case study. The Preference Selection Index (PSI) and the Analytical Hierarchy Process (AHP) were these approaches. A total of 37 universities and 20 attributes were considered. The attributes were related to the university reputation, location, financial, and ease of admission. In this paper, the PSI model was initially constructed and its results were adopted in the AHP model. Data of this paper were obtained from the US News and World Report, Times Higher Education (THE) and other well-known organizations. Results proved that the PSI approach could be used in decisions with large number of alternatives and attributes, and the PSI model was able in making the AHP model requirements easier, by reducing the criteria and alternatives. In both the PSI and the AHP models, the university reputation had the highest preferences of students, followed by the ease of admission, financial and then location. Sensitivity analyses for the PSI and AHP models were performed to evaluate the accuracy of the results. Results of this study could be applied in other students’ disciplines for finding a suitable university.

Analisis Sistem Pengambilan Keputusan Penentuan Konstruksi Jalan dengan Perkerasan Kaku atau Fleksibel (Studi Kasus Jalan di Propinsi Maluku Utara)

ABSTRACT
 This research discussing about decision support system analysis in determining concrete and composit road construction compared to asphalt construction for the case of roads in North Maluku Province. This study uses the Analytic Hierarchy Process (AHP) method or model as a method to analyze the feasibility of concrete and composit construction compared to asphalt construction. There are at least 7 (seven) factors that are considered as AHP inputs, namely road conditions, technical pavement, ecomonical/cost, duration/method of construction, availability of equipment, environmental conditions, and availability of materials. This study method includes data collection and analysis methods. For data collection, this study uses a questionnaire method that contains questions related to technical and non-technical factors that are used to assess the feasibility of a road for selecting a type of road pavement with flexible or rigid pavement. The construction feasibility of concrete and composite pavements is better than that of flexible asphalt pavements on road constructions, with the following sub-criteria conditions; roads that have bends and inclines, lower road maintenance costs, excellent weather and environmental resistance, less dense traffic, easy work execution and can be done at any time, do not require a lot of AMP and equipment, and asphalt availability can't fast time. The alternative of road pavement type is effective as a weight value of 33.78% with using the composite pavement construction.
 Keywords: Roadworthiness, Composite pavement, AHP, Decision Support System, North Maluku

Influencing factors of online furniture purchase behavior based on analytic hierarchy process

With the continuous development of the Internet economy, online furniture sales are increasingly becoming an important channel for consumers to purchase furniture. In order to investigate the influencing factors of consumers’ preference for purchasing furniture online, this paper aims to find out the influencing factors of online furniture consumption and their weight relations by using the literature research method and Delphi method to clarify the influencing factors of online furniture consumption, followed by the Analytic Hierarchy Process (AHP), from the Target Level, Criterion Level, and Sub-criterion Level. Weight analysis was carried out on the influencing factors of online furniture consumption. The three primary indicators included Personal Factor, Product Factor, and Service Factor. The 16 secondary indicators included Personality Traits, Revenue, Occupation, etc. An index system model was established for online furniture consumption based on the above factors. It was concluded that consumers are most influenced by the price of furniture among Product factors when choosing online furniture. The findings were consistent with the AHP model data when tested using a grey prediction model. The data from this study can therefore provide an important reference for online furniture product development and marketing promotion.

Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method.

Railway construction contributes to socio-economic development but causes the occupation and destruction of land resources. How to effectively restore the temporary land and achieve efficient and rational reuse therefore becomes particularly important. The beam fabrication and storage yard (BFSY), as a large temporary facility during railway construction, occupies a large area of land. However, BFSYs damage the land in the way of pressing and may harden the ground to a high degree due to the use of high-density pile foundations, adversely affecting the soil properties. Therefore, this research aims to develop a model for evaluating the land reclamation suitability (LRS) of BFSY. The LRS evaluation indicator system of BFSY was firstly constructed based on the literature review and expert interviews. Then, an indicator-based model for assessing the LRS of BFSY was developed by integrating the analytic hierarchy process (AHP) model and the matter-element analysis (MEA) model. A case project in China was chosen to demonstrate and validate the developed model, and results show that the proposed model can rationally evaluate the LRS of BFSY in railway construction. The findings of this research enrich the knowledge system of sustainable railway construction and guide construction managers to conduct practical suitability assessments of land reclamation.

Identification of SMEs in the Critical Factors of an IS Backup System Using a Three-Stage Advanced Hybrid MDM–AHP Model

Backup system work represents “the last mile” of information security (IS). To avoid data loss or damage, enterprises should execute data backup periodically to ensure the integrity and availability of such data. Additionally, due to the continuous emergence of IS incidents featuring malicious attacks in recent years, major firms in countries around the world have successively reported being under attack by ransomware viruses. In particular, small and medium enterprises (SMEs) became the potential targets of malicious attacks based on their different types of IS awareness and degrees of digitalization; therefore, IS work has become one of the essential topics with special significance for numerous SMEs. To this end, this paper studied the factors influencing SMEs’ adoption of IS backup systems in the hope that the critical decision-making behaviors of SMEs regarding the issue of IS could be learned. Practical suggestions can be made for the marketing schemes adopted by IS manufacturers concerning the planning of IS backup systems. Thus, this study used three methodological stages to address the exciting issue of IS backup systems for SMEs. In the first stage, 11 factors at two hierarchies involving three constructs influencing SMEs’ adoption of IS backup systems were summarized via a literature review. The constructs included financial consideration (FC), the IS incident, and business IS decision making (BISD-M). In the second stage, an expert questionnaire was applied; an advanced hybrid modified Delphi method (MDM) and analytic hierarchy process (AHP) with expert input were constructed to identify the sorting of overall weights based on the 11 factors included in the first stage. Following the empirical conclusions, the top three critical factors were “disaster loss amount”, “enterprise’s downtime”, and “supplier’s contractual requirements”. The conclusions of this study indicated that two factors were included in the FC construct; thus, the FC construct influenced IS the most, and the BISD-M construct took second place. In the final stage, through re-checking three actual cases, the results of this study were verified with specific respect to the FC. In conclusion, to popularize IS backup systems among SMEs and fully implement IS, manufacturers may start from the FC in the hope that the severe impact caused by IS incidents featuring malicious attacks can be slowed down and the losses encountered can be lowered. The empirical results and conclusions of this study can be used for reference by SMEs, and both theoretical and empirical foundations have been provided for further studies in academic circles; the results above also show a significant application contribution of this study.

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps

Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives. The objectives of this study are to assess the landslide susceptibility of the high-range local self-governments (LSGs) in the Kottayam district using the analytical hierarchy process (AHP) and fuzzy-AHP (F-AHP) models and to compare the performance of existing landslide susceptible maps. This area never witnessed any massive landslides of this dimension, which warrants the necessity of relooking into the existing landslide-susceptible models. For AHP and F-AHP modeling, ten conditioning factors were selected: slope, soil texture, land use/land cover (LULC), geomorphology, road buffer, lithology, and satellite image-derived indices such as the normalized difference road landslide index (NDRLI), the normalized difference water index (NDWI), the normalized burn ratio (NBR), and the soil-adjusted vegetation index (SAVI). The landslide-susceptible zones were categorized into three: low, moderate, and high. The validation of the maps created using the receiver operating characteristic (ROC) technique ascertained the performances of the AHP, F-AHP, and TISSA maps as excellent, with an area under the ROC curve (AUC) value above 0.80, and the NCESS map as acceptable, with an AUC value above 0.70. Though the difference is negligible, the map prepared using the TISSA model has better performance (AUC = 0.889) than the F-AHP (AUC = 0.872), AHP (AUC = 0.867), and NCESS (AUC = 0.789) models. The validation of maps employing other matrices such as accuracy, mean absolute error (MAE), and root mean square error (RMSE) also confirmed that the TISSA model (0.869, 0.226, and 0.122, respectively) has better performance, followed by the F-AHP (0.856, 0.243, and 0.147, respectively), AHP (0.855, 0.249, and 0.159, respectively), and NCESS (0.770, 0.309, and 0.177, respectively) models. The most landslide-inducing factors in this area that were identified through this study are slope, soil texture, LULC, geomorphology, and NDRLI. Koottickal, Poonjar-Thekkekara, Moonnilavu, Thalanad, and Koruthodu are the LSGs that are highly susceptible to landslides. The identification of landslide-susceptible areas using diversified techniques will aid decision-makers in identifying critical infrastructure at risk and alternate routes for emergency evacuation of people to safer terrain during an exigency.

Evaluation of Water Resources Utilization Efficiency Based on DEA and AHP under Climate Change

In the context of climate change, the problem of water scarcity is becoming increasingly serious, and improving the efficiency of water resources use is an important measure to alleviate this problem. The evaluation of water resources utilization efficiency has become the basis of water resource management. Data envelopment analysis (DEA) and analytic hierarchy process (AHP) are widely used in the evaluation of water resources utilization efficiency. However, one of these methods is mostly used for evaluation, which cannot reflect the influence of both objective and subjective factors. Therefore, in this study, we propose a water resources utilization efficiency index (WEI) to evaluate the water resources utilization efficiency of each region in the Tumen River Basin (TRB), combining both DEA and AHP methods. Firstly, the DEA-CCR model was used to quantify domestic, agricultural and industrial water use efficiency in the TRB. The DEA-BCC model was used to analyze the main influences on water use efficiency in each sector. Secondly, the WEI was constructed by assigning weights using the AHP model based on the importance of each water use sector. The results show that the WEI values for most areas within the TRB trended upwards between 2014 and 2019. In particular, domestic water use efficiency ranged from 0.294 to 0.775, while agricultural and industrial water use efficiency ranged from 0.039 to 0.054 and 0.031 to 0.375, respectively. Technical efficiency is the main factor influencing water use efficiency in TRB. This study could provide a basis for water resource management and mitigation of water scarcity in the context of climate change.

Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq

Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq

Comparison analytical hierarchy process (AHP) and frequency ratio (FR) method in assessment of landslide susceptibility. A case study in Van Yen district, Yen Bai province

Landslides are a natural disasters that frequently occur in the northern mountainous region of Vietnam. This study aims to compare the efectiveness of the Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) modeling in mapping susceptibility to landslides with the support of a Geographic Information System (GIS). The study area is Van Yen district in Yen Bai province, which experiences a high frequency of landslides annually. Ten factors were used as variables in the model, including the lithology map, slope, aspect, plan curvature, profile curvature, topographic wetness index, fault network, river network, road network, and land cover data. The study used a landslide statistical report that including 211 landslide points to create the frequency ratio model, while the pairwise comparison method based on expert opinion was used to establish the weights for the AHP method. The results produced a spatial distribution of landslide susceptibility with five levels: very low, low, moderate, high, and very high. The study used the Area Under the Curve (AUC) to evaluate the performance of both models. The results indicated that the model using the Frequency Ratio method outperformed the Analytical Hierarchy Process model by 4.7% in addition to the similarity between landslide susceptibility maps and past landslide locations.

Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models

Wildfires are one of the gravest and most momentous hazards affecting rich forest biomes worldwide; India is one of the hotspots due to its diverse forest types and human-induced reasons. This research aims to identify wildfire risk zones in two contrasting climate zones, the Wayanad Wildlife Sanctuary in the Western Ghats and the Kedarnath Wildlife Sanctuary in the Himalayas, using geospatial tools, analytical hierarchy process (AHP), and fuzzy-AHP models to assess the impacts of various conditioning factors and compare the efficacy of the two models. Both of the wildlife sanctuaries were severely battered by fires in the past, with more than 100 fire incidences considered for this modeling. This analysis found that both natural and anthropogenic factors are responsible for the fire occurrences in both of the two sanctuaries. The validation of the risk maps, utilizing the receiver operating characteristic (ROC) method, proved that both models have outstanding prediction accuracy for the training and validation datasets, with the F-AHP model having a slight edge over the other model. The results of other statistical validation matrices such as sensitivity, accuracy, and Kappa index also confirmed that F-AHP is better than the AHP model. According to the F-AHP model, about 22.49% of Kedarnath and 17.12% of Wayanad fall within the very-high risk zones. The created models will serve as a tool for implementing effective policies intended to reduce the impact of fires, even in other protected areas with similar forest types, terrain, and climatic conditions.

Quantitative Evaluation Method for Construction Disturbance and Ecological Restoration of Waterway Engineering and Its Application

With the increasing emphasis on the ecology and environment of rivers, the construction of ecological waterway projects has become a development trend in China. In recent years, more and more attention has been paid to the qualitative and quantitative evaluation of the ecological effects of ecological waterway construction. Based on pressure-state-response (PSR) and driver-pressure-state-impact-response (DPSIR) logical frameworks, this paper established a state-pressure-impact-response (SPIR) conceptual model. The model took the river ecology and environment state as the main line, and described the disturbance pressure of the engineering construction on the river state, the impacts of the project on the river comprehensive function, and the positive responses taken in the full lifetime cycle of the project. The analytic hierarchy process (AHP) and fuzzy evaluation model were used to study the changes of the river ecosystem status after suffering from the construction pressure and taking positive responses. Taking the 12.5 m deep water waterway project in the Taicang-Nantong section of the lower reaches of the Yangtze River as an example, the disturbance on the ecology and environment at different stages of the project construction and the effort of relieving the negative impacts of the project on the ecology and environment were evaluated by the health level of the ecosystem. The paper can provide a scientific method for the evaluation of ecological projects in river ecosystems.

Empowering High-Quality Development of the Chinese Sports Education Market in Light of the “Double Reduction” Policy: A Hybrid SWOT-AHP Analysis

Background: The “Double Reduction” policy changed the education market landscape overnight in China. This study aimed to develop a strategic development model for the sports education market within the context of the “Double Reduction” policy. Methods: This study employed a hybrid model of SWOT (strengths, weaknesses, opportunities, and threats) and AHP (analytic hierarchy process). First, SWOT factors were identified by a literature review and survey. In 2022, 30 managers and 251 parents from Changsha and Tianjin were surveyed regarding the sports education market. Second, five decision-makers from the Changsha sports education market performed a pairwise comparison of the AHP analysis, which was used to determine weights, consistency ratios, and intensities of SWOT factors. Third, the strategic vector method was used to develop the strategic development model. Results: Sixteen SWOT factors were determined. The strategic quadrilateral’s center of gravity is positioned in quadrant II (−0.0595, 0.0246). The strategic azimuth is 157.5°, and the strategic coefficient is 0.49. The strategic vector is located at the striving zone of the adjustment type. Conclusions: A conservative business strategy should be implemented in the current sports education market. Four novel strategies were proposed to support the high-quality development of the Chinese sports education market.

A Hybrid Variable Weight Theory Approach of Hierarchical Analysis and Multi-Layer Perceptron for Landslide Susceptibility Evaluation: A Case Study in Luanchuan County, China

Landslides, which can cause significant losses of lives or property damages, result from several different environmental factors whose influences are very complex. Thus, the statistical multi-layer perceptron (MLP) and heuristic analytical hierarchy process (AHP) are employed in the evaluation of landslide susceptibility. However, the landslide susceptibility maps drawn by these two methods are always affected by subjectivity and randomness. In the present study, we introduce variable weight theory (VW) to improve the MLP and AHP methods, and two novel hybrid models, AHP-VW and MLP-VW, are respectively proposed. VW theory is used to redistribute the weights of the factors in the two constant weight evaluations. This is so that the weights of the factors change with different evaluation units, thereby eliminating the subjectivity and randomness problems. The landslide susceptibility maps of the study area were categorized into very low, low, moderate, high, and very high susceptibility grades. The landslide susceptibility maps of the four models are validated by the receiver operating characteristic (ROC) curve. The area under the curve (AUC) is 0.825 for the AHP model, 0.879 for the MLP model, 0.873 for the AHP-VW model, and 0.915 for the MLP-VW model. The results show that the landslide susceptibility map drawn by statistical MLP is better than that drawn by heuristic AHP, which is consistent with many other current research results. Furthermore, VW can significantly improve the performance of constant-weight single models. Landslide susceptibility maps drawn by the statistical MLP model hybrid VW can be used for regional land use planning and landslide hazard mitigation purposes.

Research on construction schedule risk management of power supply and distribution projects based on MCS-AHP model

In order to manage the construction schedule risk of power supply and distribution engineering, a construction schedule risk evaluation model, namely the Monte Carlo simulation method - Analytic Hierarchy Process (MCS-AHP) model, is proposed. In this model, the Monte Carlo simulation method is adopted to improve the analytic Hierarchy Process (AHP), and the normal distribution interval is used to replace the specific value when constructing the fuzzy complementary judgment matrix, to reduce the risk of fuzzy thinking and incomplete information or scattered data in the process of investigation and judgment and improve the scientific evaluation. This paper takes a power supply and distribution project in Guangdong Province as an example uses the MCS-AHP model to measure the key factors limiting the project progress, and uses the AHP method for comparative analysis, to verify the feasibility of the MCS-AHP model. The analysis shows that the key influencing factors are material and equipment procurement, production and arrival, installation of 10 kv high voltage switchboard, electrical acceptance and single machine commissioning, installation of low-voltage switchboard and DC switchboard, and foundation construction of power station equipment, etc., which are consistent with the actual situation. Therefore, it is feasible to construct the MCS-AHP model, which can provide a new way of thinking for schedule risk management analysis.

A PSR-AHP-GE model for evaluating environmental impacts of spoil disposal areas in high-speed railway engineering

Spoil disposal areas (SDA) in high-speed railway engineering severely threat the surrounding environmental system. To comprehensively understand SDA's environmental impacts, this study developed an environmental impact assessment model for SDA by integrating the Pressure-State-Response model (PSR), the Analytic Hierarchy Process model (AHP), and the Grey Euclid model (GE). In the proposed model, 24 indicators are firstly selected in terms of pressures, states, and responses. Then, the AHP model is used to determine the indictor weights and the GE model is employed to determine the environmental impact level of the given SDA site. The developed model is validated through a case study in China and results show that the model can accurately and comprehensively reflect the actual environmental impacts of SDA. This is pertinent to designers, contractors, and governments who have been seeking solutions to achieve cleaner production in high-speed railway engineering.

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.

Extended-GS optimum solution for multi-criteria and multi-alternative problem

Decisions in this competitive and dynamic world must be correct, accurate, and objective. The process of deciding must be fast and precise. Since the dawn of technology, criteria and alternatives increased. Hence, tools, techniques, and methods were developed to conduct the process of decision making swiftly and correctly. Multi-criteria decision-making (MCDM) enhances the decision-making process by relying on calculated decisions rather than guessed decisions. Further, solving tools and techniques are perforated with gaps. To bridge such gaps between the tools and techniques, this paper suggests, extended version of Gale-Shapley (E-GS) algorithm that utilises three MCDM methods: analytic hierarchy process (AHP), weighted product model (WPM), and weighted sum model (WSM). The basic idea of the E-GS algorithm is feeding the preference lists required by the Gale-Shapley algorithm to produce an optimum match using WSM, WPM, and AHP models. E-GS combined the powers of all four algorithms to provide an optimum solution.

Assessment of hydrogeological parameters in a tropical region using GIS and AHP

Hydrogeological parameters have a significant impact on groundwater fluctuations in a tropical region. Malaysia is a tropical country experiencing rise in groundwater usage to meet the growing water demand. Therefore, an assessment of hydrogeological parameters is necessary for sustainable planning and management of groundwater. Geology, rainfall, drainage density, slope and soil are the hydrogeological parameters analysed for assessment in the region. The study aimed to assess hydrogeological parameters in the state of Selangor, Malaysia using Geographic Information System (GIS) and Analytic Hierarchy Process (AHP). The parameters were weighted based on the degree of impact on groundwater potential using AHP model. The weighted and ranked parameters were integrated through GIS to create groundwater potential zone map. The groundwater potential zones were divided into three categories low, moderate, and high potential zones. Moderate potential zones cover 73% of total area in the state of Selangor. The moderate potential zones cover most of the districts in the west such as Sabak Bernam, Klang, Kuala Langat and Sepang. As well as the majority of the area in districts like Hulu Selangor, Petaling, Gombak and Kuala Selangor. The findings of this study might be useful for policy makers and government organisations in formulating strategies for sustainable groundwater management and determining ideal locations for groundwater extraction.

Research on design elements of household medical products for rhinitis based on AHP.

To improve the scientificity of household medical product design for rhinitis patients, this study used the analytic hierarchy process (AHP) to provide guidance for household medical product design strategy. In the process of design decision-making, the identification of user needs and the evaluation of the scheme depend heavily on the designer's experience and knowledge. The main contribution of this paper is to evaluate the design elements through the AHP method and apply it to the actual design work. This work can greatly reduce the risk in design decisions. First, the AHP model and evaluation matrix of design elements were established and sorted out by semantic analysis of users' research results. Second, an expert group was invited to score using the 1-9 scale method. Then, the geometric mean method was used to calculate the weight shares of different indicators so as to rank them. Finally, the strategy was proposed based on ranking indicator weights, and product design was carried out. The application of AHP can make the product design process more objective and rigorous. The design scheme of this study can provide references and ideas to promote the vigorous development of household medical products for rhinitis patients.