Consistency Ratio Research Articles

Evaluation of Adult Occupant Protection on Body Region using Analytical Hierarchy Process: Side Impact Test


 
 
 ASEAN NCAP is a well-known automobile safety rating program in evaluating new cars for performance against various safety threats on the road. For the Southeast Asian countries, Adult Occupant Protection (AOP), Child Occupant Protection (COP) and Safety Assist Technology (SAT) are domains used in the ASEAN NCAP assessment. In a recent rating protocol, the AOP domain contributes 50 percent of the overall rating system with a maximum 36 points from three main elements consisting of Offset Frontal Test (OFT), Side Impact Test (SIT) and Head Protection Technology (HPT). Frontal crashes resulted in a severe injury that comes from contact with frontal components and ejection; however, side crashes are also reported to have high rates of serious injury and fatality as compared to other crash types. However, in the ASEAN NCAP assessment programme, to what extent side impact test helps to reduce the severity of injury to the car driver and passenger when the collision happened need to be explored. Therefore, the injury of body region on the side impact due to AOP failure were evaluated and reported in this paper to strengthen this program where the recommendation for performing side impact test could be proposed to ensure successful performance. The elements on the side impact test were extracted and decomposed from the existing structure. Next, input from the expert panels of various related backgrounds regarding the injury of body region on side impact test was gathered and evaluated using the Analytical Hierarchy Process (AHP). The result shows that the head, neck, and chest have the highest rank, followed by an abdomen with a Consistency Ratio (CR) of 0.0079. The finding of this paper will help to evaluate the existing side impact test in the AOP assessment.
 
 

Selection strategy implementation of cleaner production using ISM and AHP Method in Chemical Laboratory of Service Industries

The chemical analysis in the service industry cannot be separated from energy use, water, consumables, and chemicals related to the amount of waste produced. The number of hazardous solid waste generated in the CRS Chemical Laboratory division has increased in certain months, ranging from 400-600 kg. This shows the low implementation of green production in the company. Therefore, the purpose of this study is to analyze the key criteria and determine the best strategies to reduce waste. The method used in this study is Interpretive Structural Modeling to find key criteria and the Analytic Hierarchy Process method to determine the priority selection of clean production implementation strategies. This study uses a questionnaire distributed to four experts. The results showed that there were nineteen sub-criteria analyzed in determining key criteria. The sub-criteria for lack of awareness from both individuals and organizations regarding changes for the better is a key criterion in the application of cleaner production. Furthermore, the best alternative calculation results using the AHP method obtained by the implementation of periodic green production socialization to employees has the greatest valuation of 0.57 with a Consistency Ratio (CR) of 0.09. Further research is needed to evaluate the alternatives chosen.

Application of Analytical Hierarchy Process (AHP) Method in Determining Dike Construction for Handling Tidal Flood

Tambak Lorok in Semarang is one of the areas that often undergoes tidal floods. The construction of dam and dike infrastructure is an effort to overcome tidal floods. As one part of the flood control system, the dike has an important role. The construction projects requires an alternative selection method of dike construction in order to function optimally. This research aims to determine the order of priority criteria and alternative construction of dikes. The data were obtained through questionnaires to experts in the field of dike construction. The aspects of criteria used to analyze alternative dike construction are : functions and benefits, site conditions, costs and construction implementation. The dike construction alternatives include a Concrete Sheet Pile (CSP), Parapet Wall with reinforced Corrugated Concrete Sheet Pile/CCSP and landfill with Geotube Components. The questionnaire were processed using the Analytical Hierarchy Process (AHP) method with the Expert Choice v.11 application. The results showed consistency ratio (CR) of 5%, which means that research data were consistent and could be accounted for. Based on weighting in pairwise comparisons, the priority criteria in selecting type of dike construction are : functions and benefits (33%), site conditions (32%), cost (18%) and construction implementation (17%) The priority alternative dike construction is reinforced Corrugated Concrete Sheet Pile/CCSP (39.7%), landfill with geotube components (3.28%) and Cylindrical Concrete Piles (CSP) (27.5%). Dike construction with reinforced CCSP is a top priority in the handling of tidal floods in the Tambak Lorok.

Analysis of facility layout using MCDM approach: a case study of a manufacturing industry

The overall cost and production of any industry is directly affected by the shop floor layout. Present research work demonstrates a case study about the analysis of layout alternatives based on analytic hierarchy process (AHP) methodology. Qualitative factors directly affect the performance of the layout. Three qualitative factors (routing flexibility, production area utilisation and human issues) have been analysed. The steps of the AHP methodology have been adopted, and the values of eigenvalue (λmax), consistency index (CI), average random consistency (RI), and consistency ratio (CR) have been calculated for each selected factor. From the results, it has been analysed that selection of layout directly affected by the priority factors on the shop floor, it was found that for selected industry routing flexibility alternative 1.5 demonstrates best priority vector. For production area utilisation, alternatives 1.1 and 1.3 shows higher priority vectors on the other hand, for human issues, alternative 1.3 has best value of priority vector. It has been revealed that layout 1.3 is the best out of the five layouts selected for the current study.

Application of hybrid AHP-TOPSIS technique in analyzing the braking performance sensitivity of organic-ceramic fibrous reinforced friction composites

In this research work, brake pad friction composite materials based on binary and ternary combinations of ceramic-organic fibres have been realized, following evaluation of braking performance parameters on Krauss friction testing machine adopting ECE R-90 regulations and PVW-32 standard test protocol. The obtained experimental performance data has been further used for the assessment of performance based ranking using hybrid AHP-TOPSIS technique. The order of relative weights or priority order of performance defining criteria as obtained by AHP is μ-Performance (μp) ~ Stability Coefficient (α) > % μ-Recovery > Wear (g) > % μ-Fade > DTR (°C) > Friction Fluctuations (Δμ) > Variability Coefficient (γ). The consistency verification highlights that λmax = 8.0391, consistency index = 0.0045579, and consistency ratio (CR) = 0.00323 << 0.1 (upper bound limit for acceptance of CR). The aramid fibre 5-7.5 wt.% in combination with other fibres 25-22.5 wt.% (for binary combination) and 12.5/12.5 - 11.25/11.25 wt.% (for ternary combinations) has been found to impart the best overall performance level relative to other combos of the friction composites under investigation. The sensitivity analysis of performance defining criteria's and ranking orders of the compositions in the respective formulations gives robust/stable observations as the weights changes from ± (10-20)%. The hybrid AHP-TOPSIS technique in-conjunction-with sensitivity analysis might sever as an effective tool in the decision making whenever there are finite material alternatives and finite performance determining criteria having conflicting nature.

TRIZ and AHP in Early Design Stage of a Novel Reconfigurable Wheelchair

The Reconfigurable wheelchair incorporated with sit-to-stand and sit-to-sleep capabilities is the technological solution for extensive wheelchair users to promote their quality of life (QoL), safety and comfort. This paper presents the conceptual design of a reconfigurable wheelchair using the TRIZ and AHP integrated approach. The objective of this study was to develop optimal conceptual designs of a reconfigurable wheelchair by overcoming identified design conflicts. The TRIZ contradiction toolkit was employed in the early conceptual design phase. Based on the TRIZ inventive principles and developed design strategy, new reconfigurable wheelchair mechanism was modelled in SolidWorks environment, using a top-down modelling approach. Dimensions of a wheelchair were kept within the dimensions of a standard wheelchair. The newly modelled mechanism was refined using motion simulation capabilities of the SolidWorks software. The new mechanism was further integrated with different wheelchair design features by means of the morphological chart in order to get innovative conceptual designs. Further, Analytical Hierarchy Process (AHP) was utilized as a multi-criteria decision making technique for optimal conceptual design selection. Conceptual design-I (joystick controller with electric drive) received highest weight among all conceptual designs, hence selected as the optimal conceptual design. Consistency ratio (CR) for the pair-wise comparisons made throughout the AHP method was found less than 0.10. All AHP calculations were supported by Microsoft Excel Add-in for multi-criteria decision problems. For the purpose of functionality testing of newly modelled wheelchair, 3D printed wheelchair parts have been fabricated (using ABS material) and tested for desired mechanical movements. The methodology implemented in the present work can be utilized for upcoming applications in design of new assistive devices.

Sistem Evaluasi Bahan Pembelajaran Menggunakan Metode DEMATEL dan ANP

Evaluation of learning that will be given or is being given to diagnose success and failure in understanding teaching material. The failure to provide learning can be caused by the use of teaching methods or inappropriate media, and the delivery language that is difficult to understand. By applying information technology in evaluating learning materials, an evaluation system can be developed to assess and improve the quality of learning materials with certain criteria. So the problem of failure in the learning process can be known based on the learning material used. This study uses the DEMATEL and ANP methods as a basis for decision making by evaluating lecturer learning materials with a sample of 12 teachers. The DEMATEL method helps process data which is then forwarded by the ANP method in identifying interdependent relationships between criteria. With the use of the DEMATEL and ANP methods, it is expected to be able to assist in evaluating learning materials with the aim of always trying to provide good learning material based on factors or criteria that should be. The results of the study obtained a pair-level matrix Consistency Ratio (CR) value of 0.0661. Furthermore, calculating alternative ranking weights can be seen in Table 5. Furthermore, the results of the evaluation are used as further improvement efforts and to find out where there are unsuccessful outcomes in learning. Thus can be continuous between the objectives and the final results of teaching

ANALYSIS OF SUPPLIER SELECTION OF CORN STARCH RAW MATERIAL FOR CREAMER PRODUCTION ON KOPIKO AND TORABIKA ITEMS USING THE ANALYTICAL HIERARCHY PROCESS (AHP) METHOD (Case Study Of PT. Mayora Indah Tbk)

This thesis is compiled to analyze supplier selection in Mayora Group, which is a Fast Moving Consumer Goods (FMCG) company, with the object of research using Corn Starch as raw material for making glucose creamer on Kopiko and Torabika items. Based on the criteria that have previously been used by the company, the researcher develops the criteria, sub-criteria for supplier selection and supplier classification as well as consistency test from respondents’ answers based on the level of experience and competence of the 4 departments related to the procurement process of raw material imports so that priority suppliers are selected from the current existing suppliers. The determination of supplier selection criteria is calculated based on the weight of the criteria. This criterion weighting is applied through the Analytical Hierarchy Process method. Based on the results of the study, 7 criteria are obtained for the supplier selection, in order of the highest to the lowest priority: Quality, Price, Document Completeness, Delivery, Service, Company Condition, and Geographical location. The value of consistency ratio (CR) in the pairwise comparison matrix of the criteria, sub-criteria, and alternatives of the results of the respondent’s questionnaire answers is within the tolerance limit, so that it is included in the valid and consistent category.

Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis

ABSTRACT Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode decomposition (EMD) and Hurst analysis (EMD-Hurst). The noisy full-waveforms are first decomposed into their intrinsic mode functions (IMFs), and the Hurst exponent of each IMF is established by the detrended fluctuation analysis. The IMF is regarded as the high-frequency noise and is deleted if its Hurst exponent is ≤0.5. Both simulated and real full-waveforms were conducted to validate and evaluate the method by comparing with six other IMF selection methods via metrics like waveform decomposition consistency ratio (CR), average error of decomposition parameters, and ICESat/GLAS waveform-parameter product GLAH05. The comparisons show that: (1) under different SNR conditions, EMD-Hurst performs robustly and obtains a higher CR than other EMD based methods; (2) obtains the highest average CR and a relatively lower average error for the echo parameters; and (3) peak numbers and fitting accuracy for GLAH01 are more reasonable and precise than those of GLAH05, which could offer a good reference for the processing on future space-borne full-waveform data.

A Multi-Criteria Decision Support System in the Analysis of Flood Risk and Vulnerability Mapping in Suleja, Niger State, Nigeria

Abstract. This study aims at assessing flood risk factors and mapping areas vulnerable to flood in Suleja of Niger State, Nigeria, using Geo-spatial techniques. The method follows a multi-parametric approach and integrates some of the flood causative factors as: rainfall distribution, elevation and slope, drainage network and density, landuse/ land-cover and soil type. The Spatial Multi-Criteria Analysis (MCA) was used to rank and display potential locations, while the Analytical Hierarchy Process (AHP) method was employed using pair-wise comparison to compute the priority weights of each factor. The various layers were integrated in weighted overlay tool in ArcGIS to generate the final vulnerability map (high, moderate and low). The normalized criterion weights were obtained for each factor, and the results shows that, rainfall (34) and slope (31) have the highest influence on flood in the study area. The Consistency Ratio (CR) with an acceptable level of 0.05 was obtained which further validated the strength of the judgement. The factor weights from the AHP were incorporated to produce a Geo-hazard map and it showed that areas that are high vulnerable to flood in Suleja constitute about 37%, while moderate and low vulnerable areas constitute about 45% and 18% respectively. Elements at high risk of flood are those found at the extreme northeast, where elevation is very low, southwest where rainfall distribution is high and on low lying areas along the depressions. Therefore using the Geo-hazard map as a guide, local councils and other stakeholders can act to prepare for potential floods.

A heuristics approach for computing the largest eigenvalue of a pairwise comparison matrix

Pairwise comparison matrices (PCMs) are widely used to capture subjective human judgements, especially in the context of the Analytic Hierarchy Process (AHP). Consistency of judgements is normally computed in AHP context in the form of consistency ratio (CR), which requires estimation of the largest eigenvalue (λmax) of PCMs. Since many of these alternative methods do not require calculation of eigenvector, λmax and hence the CR of a PCM cannot be easily estimated. We propose in this paper a simple heuristics for calculating λmax without any need to use Eigenvector Method (EM). We illustrated the proposed procedure with larger size matrices. Simulation is used to compare the accuracy of the proposed heuristics procedure with actual λmax for PCMs of various sizes. It has been found that the proposed heuristics is highly accurate, with errors less than 1%. The proposed procedure would avoid biases and help managers to make better decisions. The advantage of the proposed heuristics is that it can be easily calculated with simple calculations without any need for specialised mathematical procedures or software and is independent of the method used to derive priorities from PCMs.

The weighting of product design specification for a composite side-door impact beam using the analytic hierarchy process method

In this study, the analytic hierarchy process (AHP) method is employed to determine the weightage criteria for product design specification (PDS) of a side-door impact beam. Six criteria for PDS have been chosen to be judged using the AHP pairwise comparison technique by ten decision makers from an automotive engineering and product design background. The results show that performance has the highest weightage, which is 0.3566, follows by product cost and weight with the values of 0.1971 and 0.1690, respectively. Environment and disposal are at fourth (0.1127) and fifth (0.0857) places, respectively, whilst size generates the lowest weightage (0.0789). The AHP consistency ratio (CR) also shows the obtained average CR value is below 0.1, which proves that the decision makers' judgement is consistently high. In conclusion, this study indicates that the utilisation of the AHP method can assist in systematically determining the weightage criteria in the MCDM method.

Career choice in teaching among engineering graduates: a study of the altruistic, extrinsic and intrinsic factors

The Indian higher education system is the third largest in the world producing immensely talented manpower, winning accolades all across the world. But the system faces faculty crunch majorly in the engineering education sector failing to attract this huge talent pool towards teaching professions. The study analyses the effect of altruistic, extrinsic and intrinsic factors pertaining to the choice of teaching career using survey research-based statistical analysis and analytic hierarchy process (AHP). The results of AHP reveal Intrinsic factor as the highest ranked factor affecting teaching career decisions which is supported by the consistency ratio (CR) value (0.033 <= 0.10). The effect of age, gender and program of study is also studied which reveal that age and program of study has significant effect on the intrinsic factor. The paper finally recommends policy amendments relating to the intrinsic factor so that more students could be attracted towards teaching profession.

An analysis of transport suitability, modal choice and trip pattern using accessibility and network approach: a study of Jamshedpur city, India

The transportation system is considered the most important element of urban infrastructure and therefore, contemporary urban research precise more emphasis on the well-managed sustainable transport system. Accessibility and connectivity are two important tools regarding urban mobility, trip generation and modal choice as well as transportation management. The assessment of transport suitability is now the central part of transport management. From these perspectives, this study has been focused on the patterns of urban mobility and modal choice on the basis of transport accessibility and suitability. The Jamshedpur city and five adjoining urban areas are selected for assessment. The GIS-based accessibility modeling and network analysis have been used in this study. Moreover, the empirical field survey has also been made for the assessment of trip generation in selected nodes. Therefore, the analytic hierarchy process (AHP) was applied to assess the nature and patterns of trip occurrences and content validity ratio (CVR) and consistency ratio (CR) were used for validation. Furthermore, transport suitability index (TSI) in the different traffic zones were measured. The result shows that Jamshedpur is the most suitable in existing transportation supply–demand system as well as sustainable transportation management.

Based on Delphi method and Analytic Hierarchy Process to construct the Evaluation Index system of nursing simulation teaching quality

BackgroundSimulation has been widely adopted in nursing education, as is known to all, the quality of simulation could be affected by many factors. Since there is not a comprehensive and scientific evaluation Index system, it is important to construct an evaluation Index system to guide high-quality simulation. ObjectivesTo construct the Evaluation Index system of Nursing Simulation teaching Quality and determine the weight of each indicator. DesignIt is a phenomenological research study. SettingsThe study was mainly conducted in one universities in China. Participants27 nursing education experts from China participated in this study. MethodsThis study combines the Delphi method and Analytic Hierarchy Process method. ResultsEvaluation Index system of Nursing Simulation teaching Quality is built using Delphi method, including five first level index (Teacher, Student, Simulation design characteristics, Educational practices and Outcomes), 14 secondary index and 62 tertiary index. It's determined through a two-rounded experts consultation involving 27 experts. The recovery rates of two rounds consultation questionnaire were respectively 96.43% and 100%, and coefficient authority was 0.89. The Kendall's W of second and third level index were respectively 0.515 and 0.589 (P < 0.001). And the weighted value of quality index are established at all levels with the consistency ratio (C.R.) <0.1, demonstrating that Teacher (0.4109) came first among the five first-level index followed by Student (0.2593), the Educational practices (0.1812), Simulation design characteristics (0.096) and Outcomes (0.0527). ConclusionsThe quality index of nursing simulation education is scientific and reliable, so as its weight assignment. It can be a guidance for high-quality simulation teaching, and it is a valid tool to evaluate the quality of simulation teaching in nursing.

Construction of cardiovascular surgery nursing service action plan system based on patient's demand

Objective To construct a cardiovascular surgery nursing service action plan system based on patient's demand so as to provide a reference for nurse specialisms of cardiovascular surgery to provide good service for patients. Methods From January 2017 to June 2017, patients of cardiovascular surgery of a ClassⅢ Grade A hospital were investigated with the self-designed patients' demand for nursing service questionnaire according to literature analysis and interview results of patients. Weights of the primary index and secondary index were calculated by analytic hierarchy process so as to construct a cardiovascular surgery nursing service action plan system based on patient's demand. Results The cardiovascular surgery nursing service action plan system based on patient's demand included 5 primary indexes and 78 secondary indexes. The Cronbach's α of patients' demand for nursing service questionnaire was 0.974 with a good internal consistency. Kaiser-Meyer-Olkin (KMO) was 0.843, and P value of Bartlett sphericity test was less than 0.001 with a good construct validity. The normalized weight coefficients of 5 primary indexes (physiological needs, safety needs, belongingness and love needs, self-esteem needs and self-actualization needs) were 0.220 5, 0.479 8, 0.077 1, 0.133 9 and 0.088 7 respectively with 0.048 8 for the consistency ratio (CR) . The CR of 21 secondary indexes of physiological needs, 19 secondary indexes of safety needs, 11 secondary indexes of belongingness and love needs, 20 secondary indexes of self-esteem needs and 7 secondary indexes of self-actualization needs was 0.048 8, 0.050 8, 0.082 3, 0.087 7 and 0.074 6 respectively. The CR was all less than 0.1 showed a satisfactory consistency in the results of hierarchy sequencing. Conclusions The construction of cardiovascular surgery nursing service action plan system based on patient's demand with the strict scientific method improves patient satisfaction. It is worth to be a reference for nursing peers and managers of cardiovascular surgery. Key words: Health services demand; Cardiovascular surgery; Patient's demand; Nursing service system; Construction

SELECTION OF INDUSTRIAL MAINTENANCE STRATEGY: CLASSICAL AHP AND FUZZY AHP APPLICATIONS

The selection of a maintenance strategy is a decision often made with uncertainty or subjectivity. This decision involves the prioritization of critical factors since there are several factors to be considered simultaneously. Decision-making generally depends on subjective assessments from experts. To deal with multiple factors, Analytic Hierarchy Processes (AHP) is a well-established multiple criteria decision analysis (MCDA) method. This article presents an AHP application for the selection of a maintenance strategy by a real industrial plant. Four maintenance strategies are considered: Corrective Maintenance, Preventive Maintenance, Predictive Maintenance, and Proactive Maintenance. Decision criteria are cost, quality, safety, value added and viability. Then, incorporating the concepts of the fuzzy set theory, fuzzy AHP was applied to the same decision problem. In both applications, Corrective Maintenance was the strategy with the highest priority, and value added was the highest priority criterion. With the classical AHP application, some comparison matrices produced Consistency Ratios (CR) greater than 0.10, possibly generated by mistakes or misunderstandings from experts. However, the same result was obtained from fuzzy AHP and validated the result obtained from classical AHP application. The major contribution of the paper is the evidence that Fuzzy AHP may be a useful tool to solve the consistency problems in classical AHP applications.

Development of A Decision Support System on Employee Performance Appraisal using AHP Model

Many employees’ performance appraisal systems lack business standard irrespective of the organization. Performance appraisal system differs depending on the type of work and job description in an organization. Most organizations lack scientific technique for rating their employee’s performances. In this case, a decision support system will help organizations to have a standardize way of performance appraisal and make the appraisal process transparent, fair and just. Analytical Hierarchy Process (AHP) was used in this paper to evaluate employees performances based on five criteria: personal skills, initiatives, teaching quality, method of teaching and research in which case each of the criteria was divided into sub-criteria; and by applying the Decision Support software for evaluating employees performance in line with the individual objectives required to meet the overall organizational mission. The result obtained showed that the consistency ratio (CR) of the five criteria is C.R = 0.0976 which showed that there is consistency in all the criteria in appraising the performance of an academic staff in Kampala International University (KIU) except research. Therefore, personal skills, initiatives, teaching quality and method of teaching are consistent and valid factors while research has not been consistent in appraising an academic staff in KIU despite the weight (47%) attached to it.

STRATEGI PENGEMBANGAN INDUSTRI KREATIF BERBASIS SUMBERDAYA PESISIR DAN LAUT DI KOTA AMBON

Coastal resources are generally used by people into a crafts include fish scales, pearls shells, coconuts, shellfish, snails, coastal pandanus, bintangur and variety of coastal vegetation. To find out how the business continuity community needs to be studied Strength, Weakness, Opportunities and Threats (SWOT) of the business. Respondents were used in the study 0f 20 sample out of a population of 56 people (35,7%) consists of buyers, sellers and institutional industries and tourism. This study analyzed the respondents assessment of the results of Internal Factors Analysis Summary (IFAS) and External Factors Analysis Summary (EFAS). The assessment results are then calculated an overall Ratio of Consistency (CR), if CR ≤ 0,1, the respondents have consistency in answering the questionnaire given. IFAS into strengths like quality of the product is according to counsumer tastes, ease of access to raw materials, skilled labor and experienced. While internal strategic factors of weakness such as: lack of media promotion, lack of financial bookkeeping. EFAS into opportunities such as private consumption will rise crafts, the market share is still widespread. While the factors external strategy that pose a threat to easy to imitate, regeneration of hard labor. Consistency Ratio (CR) of 0,07 indicates a decision taken by the respondent to determine priorities fairly consistent, meaning that priorities can be implemented are: improving the quality of product and market development as well as the flexibility of the product in order to follow changes in behavior and market demand.

Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions.

Background:The development and application of medical technologies reflect the medical quality and clinical capacity of a hospital. It is also an effective approach in upgrading medical service and core competitiveness among medical institutions. This study aimed to build a quantitative medical technology evaluation system through questionnaire survey within medical institutions to perform an assessment to medical technologies more objectively and accurately, and promote the management of medical quality technologies and ensure the medical safety of various operations among the hospitals.Methods:A two-leveled quantitative medical technology evaluation system was built through a two-round questionnaire survey of chosen experts. The Delphi method was applied in identifying the structure of evaluation system and indicators. The judgment of the experts on the indicators was adopted in building the matrix so that the weight coefficient and maximum eigenvalue (λ max), consistency index (CI), and random consistency ratio (CR) could be obtained and collected. The results were verified through consistency tests, and the index weight coefficient of each indicator was conducted and calculated through analytical hierarchy process.Results:Twenty-six experts of different medical fields were involved in the questionnaire survey, 25 of whom successfully responded to the two-round research. Altogether, 4 primary indicators (safety, effectiveness, innovativeness, and benefits), as well as 13 secondary indicators, were included in the evaluation system. The matrix is built to conduct the λ max, CI, and CR of each expert in the survey, and the index weight coefficients of primary indicators were 0.33, 0.28, 0.27, and 0.12, respectively, and the index weight coefficients of secondary indicators were conducted and calculated accordingly.Conclusions:As the two-round questionnaire survey of experts and statistical analysis were performed and credibility of the results was verified through consistency evaluation test, the study established a quantitative medical technology evaluation system model and assessment indicators within medical institutions based on the Delphi method and analytical hierarchy process. Moreover, further verifications, adjustments, and optimizations of the system and indicators will be performed in follow-up studies.