AHP Analysis Research Articles

Evaluation of sustainable hydrogen production technologies by fuzzy AHP analysis with bootstrapping

The concept of a hydrogen economy has received increasing attention worldwide. Hydrogen is a promising energy carrier that contributes to the development of a sustainable and reliable energy sector. Selection of the most sustainable hydrogen production technology (HPT) plays a significant role in promoting a hydrogen economy. However, it is regarded as a multi-criteria decision-making (MCDM) problem with several incompatible evaluation criteria. In this study, we develop an MCDM approach based on Fuzzy Analytic Hierarchy Process (FAHP) for prioritizing HPT alternatives, focusing on Egypt as a case study. Our contributions are twofold. First, to combat the issue of a small number of subject matter experts, a bootstrap method is employed to validate the main criteria weights in FAHP. Second, we conduct a comparative FAHP analysis from a broad perspective of the national experts from a developing country and the international experts from developed countries. Our results show that PV electrolysis is the most preferable technology option from the perspectives of both the national and international experts. Since the FAHP approach proposed is a flexible framework that can be applied to countries other than Egypt, it will support global policymakers and industry stakeholders in their decision making toward a sustainable and efficient hydrogen economy strategy.

Agribusiness System and Maize Agriculture Development Strategy in Palolo District Sigi Regency

Maize productivity in Palolo District only reaches 4.8 tons/ha, far below the national average. Suboptimal cultivation techniques, limited access to superior seeds, and the use of fertilizers and pesticides that are not in accordance with the recommendations. Farmers' limited knowledge of modern agricultural practices and lack of access to technology and training also affect production yields. A synergistic agribusiness system ensures integration between the upstream and downstream sectors. The purpose of this study is to analyze the success of the maize agribusiness system and formulate a strategy for the development of the maize agribusiness system. The sampling technique is purposive sampling. The analysis method uses agribusiness index, SWOT analysis and AHP. As a result of the calculation of the agribusiness system index, the value obtained is 11.4 from the maximum value of 17.4 or 65.5%. It shows that the maize agribusiness system is running well, in a good value interval (8.71-17.40). As a result of the SWOT and AHP analysis, there are four main strategies for the development of maize agribusiness: Improving farmers' skills through training and mentoring the latest agricultural technology (weight 0.225), optimizing land use and maximizing production (weight 0.219), increasing maize productivity with active extension and technological innovation (weight 0.137), increasing productivity and availability of facilities through the adoption of sustainable agricultural practices and environmentally friendly technology (weight 0.106).

An Analysis of Critical Factors Affecting the Success of Open Innovation Strategies in High-Tech Firms: The Case of South Korea

High-tech firms face constant innovation and challenges due to a rapidly changing tech environment. Open innovation strategies are an important solution for fostering rapid and efficient innovation by leveraging external capabilities. This study explores the critical factors that influence open innovation strategies in high-tech companies, assessing their importance and providing key insights for promoting these strategies. Through a comprehensive literature review and expert interviews, 16 key factors impacting open innovation were identified. A hierarchical research model was developed using the ser-M (subject, environment, resource, mechanism) framework, focusing on subject, environment, resource, and mechanism for a corporate strategy analysis. A survey and an AHP analysis were conducted with 30 participants, comprising engineers and open innovation experts, all with over a decade of experience in the field within Korean high-tech companies. The analysis focused on four critical elements: subject, environment, resource, and mechanism; subject emerged as the most critical factor for successfully implementing open innovation strategies. Specifically, the will of chief executives, the direction of decision-making, and technological environment changes were found to be significant contributors. The consensus between engineers and experts confirms that while environmental and resource factors are vital, strong leadership and effective decision-making are paramount for successful open innovation in high-tech companies.

Strategic approach to accelerating regional bioenergy development: Bioelectricity for emission reduction and sustainability

The western Himalayas hold significant potential for generating bioelectricity from dry pine needle biomass. This approach provides multiple benefits, including forest fire prevention, electricity generation, and emission reduction. However, despite these advantages, the growth of this sector has fallen short of expectations. The projected electricity generation potential from pine needle biomass in this region could lead to a significant annual emission reduction of 1.7 MtCO2e through forest fire prevention and an additional 0.49 MtCO2e by displacing carbon-intensive grid electricity. Regional bioenergy development plays a crucial role in the global energy transition and aligns with SDG 13, "Climate Action," and SDG 7, "Affordable and Clean Energy." By focusing on bioenergy as a renewable and accessible energy source, local and regional communities can contribute to climate action while simultaneously ensuring affordable and clean energy for their communities. Therefore, this paper employs a hybrid SWOT-AHP analysis as a strategic planning tool to achieve emission reduction targets by stimulating regional bioenergy growth. Twenty-nine SWOT factors were identified under four variables, and then the AHP technique was employed to assign priority weights to both SWOT variables and factors. Combining SWOT with AHP analysis provides quantitatively determined priorities for the factors, enabling their objective comparison. Eventually, this study offers a comprehensive perspective that leads to policy recommendations and serves as a valuable resource for relevant stakeholders, policymakers, and researchers seeking to achieve emission reduction goals through bioelectricity generation.

Machine learning insights into the evolution of flood Resilience: A synthesized framework study

Enhancing urban resilience represented a viable strategy to mitigate flooding induced by intense human activities and climate change. However, existing studies often concentrated on system attributes or isolated resilience characteristics, failing to offer a holistic evaluation of urban flood resilience performance. Thus, it was imperative to develop a comprehensive flood resilience framework that incorporated the resilience evolution process including resistance, economic and function recovery. Consequently, this study endeavored to devise a synthesized framework for evaluating urban flood resilience, subsequently employing a Convolutional Neural Network (CNN) model for simulation. The findings indicated that: (1) Guangzhou’s maximum resistance capacity diminished from 0.52 to 0.50 as rainfall return periods altered, while Dongguan exhibited the lowest resistance, decreasing from 0.42 to 0.40. Regarding functional recovery capacity, Guangzhou ranked highest (0.35) and Foshan lowest (0.19); (2) according to Triangular Fuzzy Number-based AHP (TFN-AHP) analysis, the area classified as highest in resilience decreased from 15.6% to 12.1% of the total, whereas the low resilience area increased from 7.6% to 8.7%; (3) Zhuhai and Zhaoqing were primarily clustered along the resistance axis, in contrast, Dongguan was distinguished by its advancement along the axis of functional recovery.(4) CNN simulations yielded precise outcomes, with the Area Under the Receiver Operating Characteristic Curve (AUC) and predictive accuracy (ACC) values exceeding 0.8,respectively. The insights provided by this research were crucial for entities tasked with flood risk management.

Supporting strategy for investment evaluation of photovoltaic power generation engineering projects using multi-criteria decision analysis methods

This scientific study examines the evaluation of photovoltaic power generation projects through the application of multi-criteria decision analysis methods. Two groups of large-scale grid-connected PV power generation system projects with a nominal power of 50 MW and 500 MW respectively were analyzed and evaluated. These systems were designed to be installed in the same wider geographical area in northern Greece, but they were differentiated in the part of the PV circuit. Twelve systems were analyzed in which either monocrystalline silicon panels or poly-crystalline silicon panels or bifacial photovoltaic panels were to be installed. In these systems either central photovoltaic inverters or photovoltaic string inverters were considered for installation. The following criteria were used to evaluate the investment in these projects. These criteria were related to the profitability, the financial cost, the technical level, and the electrical energy production of the systems and these were the initial investment cost, the operation and maintenance cost, the levelized cost of electricity, the net present value, the internal rate of return, the capital recovery or payback period, the technical level of the photovoltaic circuit, the technical maturity of the photovoltaic circuit, and the annual electricity production. The evaluation of these criteria was initially conducted with fixed weighting coefficients followed by a sensitivity analysis of these weighting coefficients. The results of the evaluation using the PROMETHEE, AHP and TOPSIS multi-criteria decision analysis methods showed that the PV power generation systems which should be preferred are those with increased nominal power, where monocrystalline silicon technology panels are employed following the central inverter topology.

AHP and FAHP-based multi-criteria analysis for suitable dam location analysis: a case study of the Bagmati Basin, Nepal

AHP and FAHP-based multi-criteria analysis for suitable dam location analysis: a case study of the Bagmati Basin, Nepal

Prioritizing sustainable building design indicators through global SLR and comparative analysis of AHP and SWARA for holistic assessment: a case study of Kabul, Afghanistan

Prioritizing sustainable building design indicators through global SLR and comparative analysis of AHP and SWARA for holistic assessment: a case study of Kabul, Afghanistan

Inventory Classification with AHP and ABC Analyses: A Case Study for Dental Products Production

This study explores the applicability of the Hierarchical Decision-Making Method (AHP) and Activity-Based Costing (ABC) analyses in the inventory management of dental products. The ABC analysis categorizes products into A, B, and C categories based on financial values. Category A products represent 80% of the total inventory value, while categories B and C represent 15% and 5%, respectively. These products are grouped according to their importance for stock tracking and control. The AHP analysis, on the other hand, ranks products based on criteria such as demand, price, delivery time, depreciation, and importance. The results from AHP showed that some products matched the ABC categories while others fell into different categories. These findings highlight that the combined use of AHP and ABC analyses allows for a more comprehensive and strategic approach to inventory management.

Geospatial based AHP analysis for habitat suitability of elephants and the effects of human elephant conflict in a tropical forest of Western Ghats in India

Geospatial based AHP analysis for habitat suitability of elephants and the effects of human elephant conflict in a tropical forest of Western Ghats in India

Unlocking sustainability: prioritizing barriers for SME success in India with AHP analysis

Unlocking sustainability: prioritizing barriers for SME success in India with AHP analysis

Selection of an alternate cementitious mortar using ceramic tile dust waste: a hybrid MCDM approach.

Selection of a suitable alternative material from a pool of alternatives with many conflicting criteria becomes a Multi-Criteria Decision Making (MCDM) problem. In the present study, ternary blended mortars were prepared using ceramic tile dust waste (CTD), fly ash (FA), and ground granulated blast furnace slag (GGBFS) as binder components. Crusher dust (CD) was used as a fine aggregate component. Binder to aggregate ratios of 1:3 and 1:1 were prepared considering suitable flow. A total of 16 mortar mixes were cast. These mortars were tested for various conflicting criteria compressive strength, flexural strength, porosity, water absorption, bulk density, thermal conductivity, specific heat, thermal diffusivity, and thermal effusivity whose weightages obtained were 29.09%, 20.08%, 12.77%, 10.60%, 8.74%, 6.74%, 5.54%, 4.47%, and 1.97%, respectively, as per AHP analysis. Later, considering these different criteria and alternate mortars, it was observed that a 1:1 mortar with 20% CTD, 30% FA, and 50% GGBFS (RC20F30G50) is found to be the suitable mortar with the highest relative closeness coefficient of 0.861 and the highest net outranking flow of 0.316 with respect to MCDM techniques: technique for order of preference by similarity to ideal solution (TOPSIS) and preference ranking organization method for enrichment of evaluations (PROMETHEE-II), respectively. The ranking of the mortar in both methods complies with the relative weightages of the criteria and the performance of the mortars with respect to the above criteria.

AHP와 IPA 기법을 활용한 서비스 표준화 전략에 관한 연구

The service industry is undergoing changes such as digital transformation, and it is expected that the number of employees in all types of service industries will increase in the future. Therefore, service certification and standardization is essential to secure the competitiveness of the domestic service industry along with the leap to high-value-added industries. Existing research has focused on certification and standardization strategies to revitalize specific service sectors, but there is a lack of research on the service industry as a whole. Therefore, this study aims to develop the importance and priority of domestic service standardization strategies using AHP and IPA analysis to secure the competitiveness of the domestic service industry. Prior to the analysis, we first reviewed service standards, the current status of the domestic service industry, the current status of domestic service standards, and the current status of international service standards. Through the literature study, three large categories (pure service standards, service delivery infrastructure standardization, and service-applicable management service standardization) and eight medium categories (logistics and distribution, finance, safety, basic IT, education, telecommunications, tourism, and environment) were identified for AHP analysis. The analysis result of the 100 core service standards strategy showed that the development of standards in the fields of ‘social safety services’ and ‘promising services’ was evaluated as a high priority. The AHP analysis shows that ‘safety’ is the most important and urgent among ‘service delivery infrastructure standardization’, reflecting that safety is a top consideration in the service industry, suggesting that safety-related standards should be given top priority when establishing service standardization strategies. This study is expected to be used as a basis for the development of the domestic service industry and the development of certification by suggesting priorities for policies that reflect the problems of the domestic service industry, changes in the service industry, and prospects for the service industry, and to derive service strategies.

예술-기술 융복합 활동 지원사업 항목의 우선순위에 대한 연구: 온라인미디어 예술활동 지원사업에 대한 AHP 분석을 중심으로

예술-기술 융복합 활동 지원사업 항목의 우선순위에 대한 연구: 온라인미디어 예술활동 지원사업에 대한 AHP 분석을 중심으로

자동차 서비스 복합단지의 최적 입지 연구

With the advent of the 4th Industrial Revolution, automobiles have changed in a consumer-led way, the aftermarket market for automobiles has grown rapidly, and regulations have been tightened worldwide and nationally to protect people from carbon emissions, the main culprit of environmental destruction. Therefore, this study attempted to derive and present the optimal plan in terms of development, operation, and use as a process for analyzing the optimal location of automobile service complexes under the Automobile Management Act. For this, it is necessary to select the optimal location, and in-depth analysis and results were derived based on three key aspects of development, operation, and use from various aspects. In the analysis, it is necessary to complete the questionnaire by reflecting expert opinions and proceed with the questionnaire results to present specific strategies for stable development, efficient operation plans, and rational management environment based on the AHP analysis results. According to the analysis, the relative importance of automobile exhibition space, trial space size, connection to automobile maintenance and parts makers, access to sufficient population density hinterland, practical experience and ability, and financial soundness were shown.

Navigating urban sustainability: balancing livability, smartness, services and environment through AHP analysis

PurposeSustainable urban development involves integrating intelligent technology into urban planning to promote economic growth, social services, and environmental preservation. It fosters inclusiveness, safety, resilience, and sustainability in urban environments. However, this strategy faces challenges balancing economic growth, social equality, and environmental preservation. Design experts must balance economic development with sustainability preservation to achieve sustainable urban development. They depend on technology for smarter communities. The paper aims to identify the criteria for sustainable urban design and design professionals' bias and their awareness of using the fourth industrial revolution technologies.Design/methodology/approachThe research methodology involves a document review to identify criteria and weights for sustainable urban design. A questionnaire was conducted with 30 design professionals to understand their preferences and biases. A hierarchical framework was created, and pairwise comparisons were computed using an AHP Online System. The weight of each criterion was calculated by aggregating normalized pairwise values within each row and dividing by the total number of cells. The Consistency Ratio (CR) was determined by aggregating the values in the row to produce the weighted aggregate value for each principle.FindingsThe document review emphasizes the significance of sustainable urban design, livability, intelligence, and environmental conservation in sustainable communities. However, participants often overlook these aspects, focusing on comfort, privacy, security, and exclusiveness. They also ignore the need for smart city technologies and environmental protection. This lack of understanding may hinder Egypt’s achievement of SDG11.Research limitations/implicationsThe paper’s main limitation is the small sample size and composition, as all participants were Egyptians working in Egypt or the Arabian Gulf region. The findings cannot be generalized, and future research could involve a team from different regions. Egypt needs to address the lack of knowledge and awareness of sustainable urban design principles among design professionals to achieve SDG 11 goals. This can be achieved through educational initiatives, readjusting priorities towards sustainability, harmonizing policy and practice with sustainable urban design principles, and interdisciplinary teamwork. Design professionals should customize their methods to suit local requirements and ecological circumstances.Originality/valueThe paper reveals that many design professionals lack an integrated and holistic understanding of sustainable urban design principles that the document review outlined. Their responses and practices reveal an incomplete understanding of sustainable urban development, requiring attention to organizing the profession, training practitioners, and reforming planning education. The paper shows that AHP has the potential to serve as a suitable instrument for decision-making; nonetheless, it is essential to exercise caution when interpreting its outcomes.

Utilizing AHP and conjoint analysis in educational research: Characteristics of a good mathematical problem

AbstractAHP and Conjoint analysis methods are used to determine the priorities and preferences of groups or individuals in the decision-making process. These methods provide predictive results in many fields such as economics, politics, and environmental sciences. Multi-criteria decision-making methods have the potential to produce effective results in educational research where priorities and preferences, such as perceptions, attitudes, and beliefs, are in question. This study aims to determine the characteristics that teachers seek in a good mathematics problem and the features of problems they prefer in classroom practice, using AHP and Conjoint analysis. In this context, it is aimed to contribute to the literature in two areas. Firstly, to introduce AHP and Conjoint analysis, that are not yet widely used in educational research. Secondly, to examine the consistency between the characteristics sought in a good mathematics problem and the problems preferred in classroom practice. The study involved 35 mathematics teachers who were asked to provide data using pairwise comparison forms for AHP analysis and full profile cards for Conjoint analysis. The results indicate that there are differences between the priorities that teachers consider when defining a good problem and their problem preferences in classroom practice. According to AHP results, teachers determine the qualities of a good problem, functional features are ranked first, and physical features are ranked last. In contrast, when it comes to their problem preferences in classroom practice, solution-oriented features are ranked first, and physical features are ranked second through conjoint analysis results. This study demonstrates the applicability of AHP and conjoint analysis in educational research.

Analisis Pemilihan Moda Angkutan Komoditi Ayam Petelur di Kabupaten Sidenreng Rappang – Sulawesi Selatan

Sidenreng Rappang Regency - South Sulawesi is one of the largest contributors of laying chicken commodities and is distributed to various regions. This research aims to determine the characteristics and choice of transportation modes. This research uses a descriptive quantitative method based on surveys and interviews with 170 respondents using AHP analysis. The results of the research show that the characteristics of the transportation used are pick-up trucks (2 tons), single-wheel trucks (5 tons), 2-axle trucks (8 tons). The dominant departure time during the day is 12.00-14.00 WITA, at night 22.00-00.00 WITA, while the arrival time at the distribution point during the day is predominantly 14.00-16.00 WITA, and at night 00.00-02.00 WITA. The dominant spread is to Makassar City, while outside the province, namely West Sulawesi Province. The choice of efficient transportation mode used in the process of distributing laying hens is the Pick Up mode with a priority weight percentage of 0.61%.

Evaluasi Kelayakan dan Faktor Penggunaan Jembatan Penyeberangan Orang (JPO)

The availability of pedestrian bridge facilities is very necessary for the safety of pedestrian crossings in minimizing the risk of accidents. One of the pedestrian bridge facilities in Kupang City is on Jl. Ahmad Yani District. Old town. The level of feasibility and use of this footbridge is considered inadequate so it is necessary to evaluate the feasibility and factors of use of this footbridge. The method used is the method for determining crossing facilities according to Bina Marga standards to determine the suitability of pedestrian bridge facilities and the AHP method for determining factors in the use of pedestrian bridge. The results of the pedestrian bridge’s feasibility analysis show that the facilities required according to the calculation results are a zebra crossing with school safety zone (ZoSS) equipment, whereas based on a geometric review of the pedestrian bridge the safety and comfort aspects do not meet the requirements. The results of the analysis of respondents' answers regarding factors in using pedestrian bridge showed that 89% of respondents used pedestrian bridge for trial and error reasons and 50% of respondents answered that they did not use pedestrian bridge s because of construction constraints. Using AHP analysis, the factor that most influences the use of footbridges is the comfort factor (distance from the center of activity) with a distribution weight of 50%, followed by the comfort factor (lighting) with a distribution weight of 32%, then the safety factor (roof availability) with a distribution weight of 12% and finally the safety factor (bridge construction) with a distribution weight of 6%.

The development strategies of amateur table tennis matches in China based on the SWOT-AHP model: a case study in Shanghai.

Given the significance of amateur sports matches in health promotion and city culture construction. It is essential to systematically analyze the organizational mode of city amateur matches and propose development strategies. This study aimed to investigate the sustainable development strategies for city amateur matches in China. This study adopted a hybrid model of combined SWOT and the AHP analysis, using the Shanghai City Amateur Table Tennis Matches (ATTM) as a case study. Results showed that 20 factors of the SWOT analysis were included, and the ranking of weights of the SWOT group are Strengths, Opportunities, Weaknesses and Threats, respectively, and the strategic vector (θ, ρ) are (74.21°, 0.5861). ATTM should adopt the S-O pioneering strategy and leverages its advantages and opportunities to promote further development. The findings indicate that ATTM with advanced organizational mode, has good internal strengths and external opportunities, which can enlighten the development of amateur table tennis matches for other regions and countries. Future research should apply the hybrid model to a broader range of events and conduct comparative analyses across countries and regions.