Combination Of Analytic Hierarchy Process Research Articles

Evaluation and Selection of Battery Swap Operation Mode of New Energy Vehicles

With the advantages of "vehicle-electricity separation", effectively shortening the replenishment time, relieving users' mileage anxiety, and facilitating the perfection of power battery recycling system, new energy vehicle battery swap has become an important research direction to respond to the government's "low carbon" policy and promote the development of new energy vehicle industry. In this paper, we analyze the differences in the supply chain structure of the three battery swap models led by car manufacturers, battery manufacturers and battery swap operators, and build models of battery swap operation under three different power structures based on the actual market situation. Using the combination of Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE), we use the questionnaires and expert evaluation methods to evaluate and analyze the input and output of the battery swap enterprises, supply chain risk resilience and competitiveness of new energy vehicles under the three different supply chain structures. We compare and conclude that the battery swap model dominated by battery enterprises is generally better than the other two battery swap operation models, then we analyze and conclude the advantages of different operation modes in order to draw some management insights.

A Framework of Selecting Building Flooring Finishing Materials by Using Building Information Modeling (BIM)

Building materials selection is a critical process affected by many complicated factors. Due to the specific function of elements, alternatives to materials must be appropriately chosen as they differ in quality, performance, and cost. Implementing a Value Engineering (VE) process is challenging as it requires effort and several workshops. Thus, this study proposes a framework to automate the VE process of selecting building flooring material. The framework identified selected agreed criteria of flooring finishing materials measured based on agreed standard tests. The developed framework is distinguished from other current research using a combination of Analytic Hierarchy Process (AHP), Pairwise, and Function Analysis System Technique (FAST) methods to define the criteria ranking weight and include the building function. Furthermore, the framework is integrated with Building Information Modeling (BIM) that has been widely used in the Architecture, Engineering, and Construction industry (AEC). Finally, a case study of a residential house in Saudi Arabia was used to demonstrate the framework. The proposed framework was verified by using two questioners and expert consultations.

Intelligent Supply Chain Management Modules Enabling Advanced Manufacturing for the Electric‐Mechanical Equipment Industry

Electric‐mechanical equipment manufacturing industries focus on the implementation of intelligent manufacturing systems in order to enhance customer services for highly customized machines with high‐profit margins such as electric power transformers. Intelligent manufacturing consists in using supply chain data that are integrated for smart decision making during the production life cycle. This research, in cooperation with a large electric power transformer manufacturer, provides an overview of critical intelligent manufacturing (IM) technologies. An ontology schema forms the terminology relationships needed to build two intelligent supply chain management (SCM) modules for the IM system demonstration. The two core modules proposed in this research are the intelligent supplier selection and component ordering module and the product quality prediction module. The intelligent supplier selection and component ordering module dispatches orders that match the best options of suppliers based on combined analytic hierarchy process (AHP) analysis and multiobjective integer optimization. In the case study, the intelligent supplier selection and component ordering module demonstrates several acceptable Pareto solutions based on strict constraints, which is a very challenging task for decision makers without assistance. The second module is the product quality prediction module which uses multivariate regression and ARIMA to predict the quality of the finished products. Results show that the R square values are very close to 1. The module shortens the time for the company to accurately judge whether the two semifinished iron cores for the product meet the quality requirements. The component supplier selection module and the finished product quality prediction module developed in this research can be extended to other IM systems for general high‐end equipment manufacturers using mass customization.

Identification and evaluation of barriers in implementation of electric mobility in India

There is a worldwide movement towards the reduction in greenhouse gas emissions using renewable energy resources. Transportation is the main source of greenhouse gases, which are mostly contributed by fossil fuel driven automobiles. The entire world is now focusing on reducing the dependency on fossil fuels and switching over to the usage of electric vehicles. This initiative would result in alleviation of air pollution, reduction in dependence on oil imports and improved business opportunities for electric vehicle manufacturing industries. However, unlike developed countries, the electric vehicle market in India is quite sluggish on account of technological, social and economic barriers. In this paper, various barriers are identified through literature and interaction with domain experts. Subsequently a hybrid structural model, which is a combination of AHP (Analytic Hierarchy Process) and DEMATEL (Decision making trial and evaluation laboratory) is used to evaluate those barriers. The AHP method helped in assimilating the weights or importance of barriers. The DEMATEL approach established the interactive relationships among the barriers and categorized them into cause and effect groups. The findings would help the policy makers and manufacturers to develop strategies that would enhance the penetration of electric vehicles in Indian market.

Suitability evaluation system for the shallow geothermal energy implementation in region by Entropy Weight Method and TOPSIS method

Shallow geothermal energy suitability map presents the potential for implementation in a region. The potential for implementation depends on hydrogeology, geotechnical, geology environment, and geothermal characteristics. Plenty of scholars evaluate shallow geothermal energy by the algorithm combined Analytic Hierarchy Process and Index Overlap. But Analytic Hierarchy Process and Index Overlap, as knowledge driven methods, rely on the experts' experience. This research presents a data driven algorithm based on Entropy Weight Method and TOPSIS Method. The weights are calculated by the Entropy Weight Method and assigned to the TOPSIS model. The closeness coefficient could be calculated by TOPSIS model. The suitability potential is analysed by comparing the closeness coefficient. The algorithm is accomplished by coding a program using Matlab. The algorithm is also applied to Nantong, China. Depending on the principle of ground source heat pump system, the suitability evaluation system of the open loop system and the closed loop system are established, respectively. Hydrogeology, geotechnical, geothermal, and geology environmental investigations are carried out to obtain the measured data and parameters for suitability analysis. The suitability maps are drawn in according with closeness coefficient. The algorithm is able to overcome the subjectivity of experts' experience. Compared with knowledge driven methods, the proposed algorithm tends to compare the relative potential in a region, rather than assess whether the site is suitable for SGE implementation. Consequently, it is more suitable for selecting the best field-site.

IMPLEMENTASI METODE AHP DAN TOPSIS DALAM ANALISIS MINAT ALUMNI BERDASARKAN PENILAIAN SERAPAN ALUMNI

Preparation of curriculum and education program at vocational high school is conducted within five years with evaluation every year, and then adjusted to the needs of industry in the area around the school. The absorption of alumni in the industry can affect the determination of curriculum and education program, the evaluation done by looking up alumni annually determines the next step that vocational high school will be taken in preparing curriculum and educarion program. In addition, alumni absorption can show the quality of vocational high school from the quantity of alumni entering the industry world. For now the absorption data of alumni has not been used optimally, with an objective assessment. Therefore, further research is needed in assessing the absorption of alumni after graduation by tracing the interest of alumni in looking for work. This research uses Analytical Hierarchy Process (AHP) method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in tracing the interest of alumni in finding work by knowing the factors that influencing the interest of alumni in industry. By using data of alumni absorption and interview of vocational high school stakeholder, it was found that AHP method can be used in weighting criteria as well as alternative and TOPSIS method as comparison and consideration of the selection of the best alternative. This research had result that combination of AHP and TOPSIS can give the best alternative recommendation. The results that obtained by using AHP and TOPSIS is found that the alternative of private companies is the best choice that alumni is interest in it.

Novel combination of analytical hierarchy process and weighted sum analysis for watersheds prioritization. A study of Ulindi catchment, Congo River Basin

Congo River Basin (CRB) is among the World's major basins and one of the least studied basins Worldwide. The few existing literature reported that its upper sub-basin is the source of large sediments which are the heart of many environmental problems. However, the severity level was not fully elucidated due to its larger area of about 1.7 million km2. Subsequently, this opened up a gateway to further narrow the degradation level. The selected Ulindi catchment located in the upper Congo sub-basin was subdivided into 25 watersheds and the study aimed to delineate their priority for soil conservation. To achieve this, morphometric parameters prepared using Weighted Sum Analysis (WSA) together with soil loss, sediment production rate, sediment transport index, and runoff potential were considered as criteria in the Analytical Hierarchy Process (AHP). The results revealed that about 43.8% and 31.04% of the catchment experienced high and low soil degradation and respectively fall under high and low priority for soil conservation measures. The combination of AHP and WSA methods proved to be efficient for identifying sediment deposits and areas’ sensitivity to degradation.

Combination of Analytic Hierarchy Process (AHP) Method and Profile Matching Method with Matrix Decomposition in Determining Olympiad Candidates

One of the government's programs in improving the quality of human resources is by organizing the selection of candidates for the Olympics which aims to improve general knowledge. To be able to take part in the selection of prospective participants for the Olympics, the participants have general knowledge, achievements, behavior and experience in following closely at the high school level.There are several problems in the selection of students at the school level, including teachers or principals in selecting students only based on the value of the lessons obtained, even though the Olympics are held at the district, provincial and national levels, other factors are needed including knowledge, achievement and experience in participating in the competition. previous olympics so the results were not optimal.Therefore, it is necessary to design a decision support system using the AHP (Analytical Hierarchy Process) and Profile Matching methods which are expected to assist decision makers in obtaining information for selecting the right students to participate in the Olympics.After testing and analysis involving manual calculations, it can be seen that the results obtained from system calculations are the same as manual calculations. So that this system can be used to help schools or teachers to select students in participating in the Olympics at the High School (SMA) level.

The Construction of a Poverty Return Risk Indicator System under Rural Revitalization: Taking the Poor Households in Guangdong Province

This paper consists a return-to-poverty risk indicator system including indicators such as the per capita annual income of poverty-stricken families, the implementation of policies, and the gender of the head of the household. Using a combination of analytic hierarchy process and fuzzy evaluation method, 50 poor households with registered cards in Guangdong Province in 2020 were taken as the research objects, and quantitative analysis of the index system was carried out. The results show that the per capita annual household income is the most influential indicator, and policy coverage, policy effectiveness, and per capita annual household expenditure also have a significant impact.

Spatial-temporal evaluation of marine ecological civilization of Zhejiang Province, China

Eco-Civilization Construction has gone through 8 years since it has been included in the “five-in-one” overall layout in the 18th National Congress of the Communist Party of China. As an important part of Eco-Civilization Construction, Marine Eco-Civilization Construction (MECC) has also made great achievement in China. This paper was the first attempt to evaluate the performance of Marine Eco-Civilization Construction at county scale. Selecting 20 specific indicators from six subsystems, including resource, ecology, culture, governance, economy and society, we developed an evaluation system for MECC. With the combination of analytic hierarchy process (AHP) and the entropy method, we measured the MECC performance of all 32 coastal counties in Zhejiang Province from 2010 to 2016 and calculated the coordination degree among six subsystems. Temporally, the performance level of coastal districts and counties in Zhejiang was increased steadily, and spatially, the coordination degree however was relatively low in some counties indicating the spatial discordance. Our study could provide important insights for further promoting MECC in China at local scale as well as for other coastal regions’ sustainability.

The Marketing Strategy of Waste-Processed Craft Product in Pontianak City

Pontianak city produced 400 tons of waste every day. The prevention of waste had been done in various ways; one of them was the utilization of waste by 8 waste banks to be used as craft products with an economic value. The aim of the research was to formulate alternative priority marketing strategies for processed waste craft products in Pontianak. The research method that used was descriptive qualitative methods, surveys and interviews with key informants to obtain SWOT criteria and alternative strategies. This research used primary and secondary data, primary data obtained from interviews and surveys that included waste banks data and respondent data, secondary data included waste production in Pontianak City, waste banks in Pontianak City. The data analysis used the combination of Analytical Hierarchy Process (AHP) and Strength Weakness Opportunities Threats (SWOT). The research results showed that the alternative priority for the marketing strategy of processed waste products was the strategy to improve Human Resources (0.462), such as product innovation, conducted comparative study with UKM (small-medium enterprises), made observations of products that people were interest in; information and technology improvement strategies (0.403), such as recruited and trained employees to understand information technology; institutional improvement strategies (0.135), such as upgraded and focused group discussions in the Waste Bank Forum, managed the requirements for marketing in supermarkets

Urban Pluvial Flood Management Part 2: Global Perceptions and Priorities in Urban Stormwater Adaptation Management and Policy Alternatives

Urban stormwater infrastructure is at an increased risk of being overwhelmed by pluvial flood events due to climate change. Currently, there are no global standards or frameworks for approaching urban rainfall adaptation policy. Such standards or frameworks would allow cities that have limited time, finances or research capacities to make more confident adaptation policy decisions based on a globally agreed theoretical basis. Additionally, while adaptation via blue-green infrastructure is often weighed against traditional grey infrastructure approaches, its choice must be considered within the context of additional policy alternatives involved in stormwater management. Using six global and developed cities, we explore to what extent a standardized hierarchy of urban rainfall adaptation techniques can be established through a combined Analytic Hierarchy Process (AHP) Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Multi-Criteria Decision Analysis. While regional and stakeholder differences emerge, our study demonstrates that green infrastructure undertaken by public bodies are the top policy alternative across the cities and stakeholder groups, and that there exists some consensus on best management practice techniques for urban stormwater adaptation.

Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19

PurposeCollaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk.Design/methodology/approachA combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection.FindingsIt is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period.Research limitations/implicationsThe approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19.Originality/valueThis paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

Factors Influencing Nurses' Intention to Leave Profession in Iran

Background: Several reasons account for nurses' intention to leave the nursing profession. Understanding these factors is a step towards reducing such incidents which pose a threat to the nursing profession. This study aimed to identify and rank the circumstances that influence the intention to leave the nursing profession in Iran. Methods: The present study is a cross-sectional analytical study, which employed four other methods to reach a sound conclusion in 2019.The electronic databases, including the Scientific Information Database, PubMed, Scopus, Science Direct, OVID, Cochrane Library, CINAHL,, were searched for studies published from the year 1998 to December 2018 for scientific studies conducted among factor associated intention to leave in Iran. The Exploratory Factor Analysis (EFA) method was then used to extract hidden factors and determine the hierarchical structure of the review's findings. Using the combination of Analytical Hierarchy Process and Fuzzy Logic, the weight of each one of the factors that affect the intention to leave the nursing profession was then calculated. Finally, the accuracy of the results of the Consistency Ratio and Fuzzy analytic hierarchical process (FAHP), was calculated and evaluated. Results: The electronic search delivered 100 studies, from which we identified and extracted 26 most occurring reasons for the desire to leave the nursing profession. Based on the EFA results, we identified four criteria (personal, managerial, organizational, and side issues) with eigenvalues ​​higher than 1. The first criteria (personal issues) scored the highest (53.39 %), while side issues scored the lowest (13.40 %) as reasons accounting for the intention to leave the nursing profession. Conclusion: Job stress, the lack of freedom and independence in the clinical environment, discrimination, and the probability of catching an illness have higher prominence in influencing nurses' tendency to leave work. These factors can be mitigated by altering managerial techniques within organizations.

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. The aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. This study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decision-making modelling. The applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. The computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. In addition, the results verify the significance of the research in group decision-making under uncertainty. The practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively.

Identification of quality markers of Qixuehe Capsules based on analytic hierarchy process and entropy weight methods

Qixuehe Capsules is a compound Chinese patent medicine developed for treating the disorder of Qi and blood(a common etiology of gynecological disease), which has remarkable effects on smoothing liver and regulating Qi, activating blood circulation, and relieving pain. However, due to its complex prescriptions(15 herbs) and multiple effects, the quality control of Qixuehe Capsules has always been a bottleneck problem limiting its sustainable development. Therefore, this study adopted the traditional Chinese medicine Q-markers quantitative identification system established previously by our research group based on the combination of analytic hierarchy process and entropy weight methods. With the different effects of Qixuehe Capsules as the entry point, the comprehensive scores of chemical ingre-dients in Qixuehe Capsules under the items of effectiveness(smoothing liver and regulating qi, activating blood circulation, and relieving pain), testability and specificity were calculated and integrated, respectively. Subsequently, through the analysis of compatibility relationship of Qixuehe Capsules, 15 active ingredients with high comprehensive scores were found to be the top Q-mar-kers of Qixuehe Capsules, including ferulic acid, quercetin, caffeic acid, kaempferol, rutin, Z-ligustilide, senkyunolide Ⅰ, vanillic acid, protocatechuic acid, chlorogenic acid, rosmarinic acid, senkyunolide A, gallic acid, tetrahydropalmatine and eugenol. Collectively, this study not only provided scientific evidence for further research on the improvement and standardization of quality standards of Qixuehe Capsules but also provided methodological references for the quantitative identification of Q-markers of multi-effect traditional Chinese medicine formulae.

Service quality benchmarking of amusement parks using a hybrid approach

PurposeThe purpose of this paper is to develop a framework for benchmarking the service quality of amusement parks.Design/methodology/approachA hybrid approach, which is a combination of AHP (analytic hierarchy process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), is applied for service quality benchmarking.FindingsAmusement parks are centers of attraction at various tourist destinations across the world. Their service quality is constituted by the attainment of certain quality attributes that varies with different parks. For sustaining in the industry, the managers of the parks need to have a good overview of the practices followed by them and their competitors that necessitate benchmarking of the service quality.Practical implicationsThe developed framework using the hybrid methodology of AHP and TOPSIS can be applied for comparing different amusement parks based on quality attributes, which will help the organizers in improving their service quality.Originality/valueThe paper identifies various service quality attributes of amusement parks and an evaluation scheme for those attributes had been developed. Based on these, a framework had been developed for benchmarking of service quality of different amusement parks.

Energy efficiency evaluation of consumer based on fuzzy comprehensive evaluation method

Aiming at the problems of lack of complete evaluation index system and low evaluation accuracy, a consumer energy efficiency evaluation method based on fuzzy comprehensive fuzzy evaluation is proposed. Firstly, establish a consumer energy efficiency index system. Then the weight of the index is determined by the combination of analytic hierarchy process and entropy weight method. Finally, the energy efficiency of consumer is evaluated by fuzzy comprehensive evaluation method. Through the analysis of experimental examples, it is verified that the proposed method can evaluate the level of electricity energy efficiency accurately, and improve the residential electricity efficiency effectively.

Land Use and Land Cover Change Assessment in the Context of Flood Hazard in Lagos State, Nigeria

Incessant flooding is a major hazard in Lagos State, Nigeria, occurring concurrently with increased urbanization and urban expansion rate. Consequently, there is a need for an assessment of Land Use and Land Cover (LULC) changes over time in the context of flood hazard mapping to evaluate the possible causes of flood increment in the State. Four major land cover types (water, wetland, vegetation, and developed) were mapped and analyzed over 35 years in the study area. We introduced a map-matrix-based, post-classification LULC change detection method to estimate multi-year land cover changes between 1986 and 2000, 2000 and 2016, 2016 and 2020, and 1986 and 2020. Seven criteria were identified as potential causative factors responsible for the increasing flood hazards in the study area. Their weights were estimated using a combined (hybrid) Analytical Hierarchy Process (AHP) and Shannon Entropy weighting method. The resulting flood hazard categories were very high, high, moderate, low, and very low hazard levels. Analysis of the LULC change in the context of flood hazard suggests that most changes in LULC result in the conversion of wetland areas into developed areas and unplanned development in very high to moderate flood hazard zones. There was a 69% decrease in wetland and 94% increase in the developed area during the 35 years. While wetland was a primary land cover type in 1986, it became the least land cover type in 2020. These LULC changes could be responsible for the rise in flooding in the State.

Designing a model for patient relationship management in the general hospitals using the combination of analytic hierarchy process and interpretive structural modeling.

BACKGROUND:Patient relationship management (PRM), in addition to saving costs, increases patient loyalty and creates a satisfactory environment for the patient and the service provider. This study aimed to design a model of PRM in general hospitals using the combination of the analytic hierarchy process and interpretive structural modeling (ISM).METHODS:This was an applied and cross-sectional study conducted in 2020 at three stages. At the first stage, using a systematic review, factors affecting PRM were identified. In the second stage, these factors were prioritized based on the pair-wise comparisons. In the third stage, the interaction levels of the factors were modeled for the general hospitals using ISM through the use of the MICMAC technique and Excel 2007 software.RESULTS:The results showed that “integrated information system,” “registration of the patient's essential information,” and “right data at the correct time” were the first to third priority in implementing PRM in the general hospitals. In the final model of ISM, three levels of effective factors were extracted, and 10, 4, and 6 factors were identified in the first, second, and third levels, respectively.CONCLUSION:Establishing the PRM strategy in the hospital, in addition to executive and managerial requirements, depends on the existence of an electronic customer relationship management system, and the choice of new technology, as well as the integration of information systems and technology culture, should be given special attention by managers.