Journal articles: 'Analysis Hierarchy Process (AHP)'

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Rajput, Virendra, and Dr A. C. Shukla Dr.A.C.Shukla. "Decision-Making using the Analytic Hierarchy Process (AHP)." International Journal of Scientific Research 3, no. 6 (2012): 135–36. http://dx.doi.org/10.15373/22778179/june2014/47.

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Othman, Mohamad Rizza, Rosshila Idris, Mimi Haryani Hassim, and Wan Hanisah Wan Ibrahim. "Prioritizing HAZOP analysis using analytic hierarchy process (AHP)." Clean Technologies and Environmental Policy 18, no. 5 (2016): 1345–60. http://dx.doi.org/10.1007/s10098-016-1104-4.

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Alsheref, Fahad Kamal. "Route Recommendation Model Via An Analytic Hierarchy Process (AHP)." Journal of Advanced Research in Dynamical and Control Systems 11, no. 9 (2019): 17–24. http://dx.doi.org/10.5373/jardcs/v11i9/20192768.

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Gong, Ting, and Hui Yan. "An Improvement Research of SWOT Method Based on Analytic Hierarchy Process." Applied Mechanics and Materials 263-266 (December 2012): 2287–90. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2287.

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SWOT Analysis Method is improved by advantage of Analytic Hierarchy Process (AHP), qualitative and quantitative methods are combined effectively based on Analysis of traditional SWOT Method deficiency. In the end of this paper, the analytical hierarchy process (AHP)is applied in detail experiment and some sound analysis and research are implemented.

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Altin, Hakan. "An Analysis of Pecking Order Theory With the Analytic Hierarchy Process." International Journal of Applied Management Sciences and Engineering 9, no. 1 (2022): 1–18. http://dx.doi.org/10.4018/ijamse.295865.

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According to pecking order theory (POT), when a company feels the need for capital, it applies the hierarchies of accounts payable and accruals, retained earnings, debt, and new common stock. Similarly, the analytic hierarchy process (AHP) method calculates the hierarchical priorities for the solution of complex problems. The most important justification explaining the hierarchy implementation of the POT approach are the impacts of asymmetrical information and signaling. Similarly, in the AHP method, the hierarchical decision-making process depends on the justification of the decision maker. The existence of asymmetrical information shows that the two methods complete each other. The aim of the study was to analyze POT with the AHP method, in other words, an examination of the consistency of the POT and AHP approaches with each other. The results showed that the two methods are indeed consistent with each other.

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DANG, HUNG. "ON SENSITIVITY RANKING USING ANALYTIC HIERARCHY PROCESS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp02 (2007): 67–73. http://dx.doi.org/10.1142/s0218488507004613.

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We present an application of the Analytic Hierarchy Process (AHP) in the sensitivity analysis of a multi-parameter decision support problem. In this problem, the Multi-Parametric Sensitivity Analysis (MPSA) appears appropriate and is employed. A drawback of MPSA is that it only produces a sensitivity comparison between every two parameters, and does not offer a systematic method for ranking all parameters at once. Without the overall sensitivity ranking, it is difficult to interpret the analysis result from MPSA, especially when the number of parameters is large. Our paper shows that AHP can be used to perform such ranking based on MPSA's pair-wise comparisons.

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Leite Alves, Josivan, and Jeniffer de Nadae. "Application of the Analytical Hierarchy Process in sustainability in complex projects." Revista Gestão da Produção Operações e Sistemas 15, no. 4 (2020): 134–57. http://dx.doi.org/10.15675/gepros.v15i4.2699.

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Purpose – Analyze how complexity influences the implementation of sustainability in complex civil construction projects. Design/methodology/approach – Based on the proposal of indicators due to the composition of the theoretical background of this research, the Analytic Hierarchy Process (AHP) multi-criteria method was applied. Thus, the sampling for collection, through a questionnaire, was be limited to engineering professionals working in the Metropolitan Region of Cariri, extreme south of Ceará, more specifically in the cities Crato, Juazeiro do Norte, and Barbalha. Findings – In terms of the complexity of the projects, the research participants pointed out that changes made over time and the financial aspects are variables that considerably hinder the completion of the building. Finally, it was possible to notice that there is a close relationship between the indicators of complexity and sustainability, where the target audience of the research showed a strong tendency to consider the most important economic aspects of the design and execution of civil construction projects. Originality/value – This research contributes to the national literature by combining mathematical tools with practical applications. It encourages managers and academics to develop indicators for building a sustainability classification system for complex projects, according to their specificities. It also explains how the AHP determines the weights for each criterion, proposing a conceptual sustainability index module. Keywords - Sustainability. Civil Construction. Complexity. AHP

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Braga, Solano de Souza, Anderson Guzzi, and Guilherme Augusto Pereira Malta. "ANALYSIS OF THE TOURIST TERRITORIES OF THE PIAUÍ COAST USING THE ANALYTICAL HIERARCHY PROCESS." Mercator 22, no. 2023 (2023): 1–14. http://dx.doi.org/10.4215/rm2023.e22007.

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The article applies the Analytic Hierarchy Process (AHP) to evaluate tourism development on the coast of Piauí, Brazil. The assessment of the tourism territories identified on the coast of Piauí was viable due to a quantitative analysis of the region's tourism activity. By quantifying the importance of the variables "means of accommodation," "food services," "tourist attractions," and "access routes" related to the criteria of "cost, "availability," and "quality," it was possible to evaluate each territory. The negative impacts caused by problems related to infrastructure were evident, especially the difficulty of access. AHP proves to be a methodology with the potential to be incorporated into the planning and management process for tourism, as it is effective in characerizing and evaluating territories used by tourism. This study is expected to support the decision-making of municipal and state public authorities concerning the social and environmental impacts of tourism activity on the coast of Piauí, mainly in fragmented territories. Keywords: Analytic Hierarchy Process, Tourism, Piauí, Coast.

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Zhang, Jiao. "Analytical Hierarchy Process Applied to Risk Analysis of Deep Excavation." Advanced Materials Research 250-253 (May 2011): 1646–50. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.1646.

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The application of the analytical hierarchy process (AHP) to the risk analysis of deep excavation was investigated. Firstly, the occurring probabilities of various risk factors during deep excavation were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of deep excavation could be evaluated by fuzzy complex evaluation. This risk analysis method was applied to evaluate the total risk of a real deep excavation, and the exemplification verified its feasibility.

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Oral, Ceren. "Analytical Hierarchy Process as a Tool for Investment Appraisal." International Journal of Economics and Finance 8, no. 4 (2016): 306. http://dx.doi.org/10.5539/ijef.v8n4p306.

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Analytic Hierarchy Process (AHP), is the method of multiple-criteria decision analysis. AHP; severity of the important criteria in deciding the pairwise comparisons and it carries out the sequence of decisions alternatives. AHP is a powerful and easy to understand method that allows combining qualitative and quantitative factors in the decision making process for groups and individuals.AHP in finance is a frequently used method especially financial performance appraisal, credit appraisal, the financial failure prediction, estimation of the exchange rate and the selection of projects. Evaluation and selection of projects is a difficult task before making investment decisions. In this context, it has been developed a case study to determine the best project by applying the AHP technique. For this purpose, considering four criteria, the best projects between options have been identified and evaluated by alternative four projects.

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Liang, Xiao Fei, Yu Xin Liu, and Yue Xu. "Risk Identification in Bridge Construction Stage Based on Fuzzy Hierarchy Analysis." Applied Mechanics and Materials 405-408 (September 2013): 1552–55. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.1552.

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Due to the characteristic of ordinal consistency in the analytical hierarchy process (AHP) difficult to meet, the method combined AHP and the theory of fuzzy mathematics is introduced, the idea of fuzzy analytic hierarchy process is introduced innovatively. The failure mode and the main factor of failure induced during construction of bridge engineering are identified. The method can exert the brain advantage of evaluation, and simplify the computation process.

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Battistoni, Elisa, Andrea Fronzetti Colladon, Laura Scarabotti, and Massimiliano M. Schiraldi. "Analytic Hierarchy Process for New Product Development." International Journal of Engineering Business Management 5 (January 1, 2013): 42. http://dx.doi.org/10.5772/56816.

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The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.

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TEPE, Serap. "Coding Program Selection Using Spherical Fuzzy Analytic Hierarchy and Pythagorean Fuzzy Analytic Hierarchy Processes." Academic Platform Journal of Engineering and Smart Systems 11, no. 1 (2023): 11–18. http://dx.doi.org/10.21541/apjess.1143964.

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Today, coding is not a field that belongs only to software developers; it has become a field of interest to many people from different professions. The coding education designed for elementary school level resulting from the changes made in the curriculum has led to teaching analytical thinking to children. Deciding the most suitable software for children among all the options is an important issue. This paper aims to extend the classical Analytical Hierarchy Process (AHP) and look at the spherical fuzzy analytical hierarchy (SF-AHP) method to show its applicability to the problems of coding software program selection for children through a comparative analysis using Pythagorean AHP (PF-AHP). After performing the analysis by using the proposed method, it was found that technological facilities, diversity, cost and environmental conditions were the most critical factors according to SF-AHP and PF-AHP methodologies. According to these criteria, the educational programming platform ‘Tynker’ was determined to be the best alternative using both these methods.

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Devi, M. Tirumala, Sameena Afreen, Abdul Majeed, G. Mahender Reddy, and V. Shyam Prasad. "Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer." Indian Journal Of Science And Technology 17, no. 21 (2024): 2150–58. http://dx.doi.org/10.17485/ijst/v17i21.1314.

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Objectives: To determine the best area in the software industry for a fresh engineering graduate in India. Methods: Examined the current situation of the software industry today and the datasets that were gathered and included in accordance with that. Here, five alternatives (Research and Development, Mobile solutions, Cloud computing, Big data analytics, and Government and Defence) and seven parameters (Communication, Teamwork, Coding and technical literacy, Programming languages, Problem-solving skills, Research skills, and Multitasking skills) are taken into consideration. Fuzzy AHP and fuzzy TOPSIS methods were used, and the outcomes were compared to the AHP method. Findings: Fuzzy AHP and fuzzy TOPSIS methods have been used to produce the normalized weight vector for each alternative relative to the criterion. Additionally, a normalized weight vector has been calculated and compared to every criterion and criteria alternative. Final rankings for each alternative have been determined in relation to all of these. Novelty: The novelty of the present study is to identify the best sector of the software industry in India for a recent engineering graduate based on providing a ranking of alternatives using fuzzy TOPSIS and fuzzy AHP methodologies. While other strategies may be used to do similar works, the techniques listed above may not be used. Fuzzy AHP and fuzzy TOPSIS approaches can provide more optimal solutions, which is an innovative aspect of this study. Keywords: Analytical Hierarchy Process (AHP), Comparative analysis, Fuzzy AHP method, Fuzzy TOPSIS method, Software industry

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Huang, Jih-Jeng. "Analytic Hierarchy Process with the Correlation Effect via WordNet." Mathematics 9, no. 8 (2021): 872. http://dx.doi.org/10.3390/math9080872.

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The analytic hierarchy process (AHP) is a well-known approach in decision-making because of its simplicity and rationality. However, in conventional AHP, it cannot account for the correlation effect between criteria. In this paper, we use the lexical database, WordNet, to calculate the similarity between criteria set by a decision-maker. Then, we use the similarity matrix to process the factor analysis and obtain the independent factors, which are composed of their criteria. Finally, the weights of factors are derived to evaluate the alternatives. Moreover, we use a case study of online shopping to illustrate the proposed method and compare the result with the conventional AHP.

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Sael, Nawal, Touria Hamim, and Faouzia Benabbou. "Implementation of the Analytic Hierarchy Process for Student Profile Analysis." International Journal of Emerging Technologies in Learning (iJET) 14, no. 15 (2019): 78. http://dx.doi.org/10.3991/ijet.v14i15.10779.

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Data science is the discipline that allows the exploration and analysis of data in order to extract useful and relevant information for decision making and problem solving. In the educational domain, human experiences need to be synthesized in order to improve the success rate and help the responsible to make the best informed decision. Analytic Hierarchical Process (AHP) is one of the most widely used multi-criteria analysis techniques in decision making. It allows building models for various problems even in the case of insufficient observation data. This paper aims to, benefit from the potentials of AHP technique, to analyze students’ profiles. Our objective is to detect and classify the most important fac-tors that increase Moroccan student dropout and failure. We expect that this study is the first one that explores AHP, studying the Moroccan context and describing student profiles depending on variant criteria. It reveals, on the one hand, that Moroccan student failure is strongly related to their family and behavioral characteristics. Indeed, lack of motivation, family instability and lack of responsibility are the top three factors causing failure at the university. On the other hand, student dropout is strongly related to studying context, namely the lack of orientation and repeated failures in modules. These findings will enable the decision makers to develop adequate solutions to overcome these two scourges.

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Wu, Xi, Shuying Qiao, and Qiongqiong Tan. "Destination Management for Ecotourism Activity Using Analytical Hierarchy Process." Scientific Programming 2022 (January 10, 2022): 1–6. http://dx.doi.org/10.1155/2022/4143060.

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Analytic hierarchy process (AHP) refers to a decision-making method that decomposes the elements related to decision-making into goals, criteria, plans, and other levels and performs qualitative and quantitative analysis. Ecotourism is one component of sustainable tourism. Due to ecotourism activity, ecotourism links the reserved area with local residents and tourists. The aim of this research is to identify the proper ecotourism activity in Diaoluo Mountain National Nature Reserve with the help of the AHP method. The motivation behind the use of AHP is its widespread use in the decision-making process of selection of suitable candidate or alternative spot for tourists’ activity in the domain of ecotourism. The result shows that the most suitable ecotourism activity is “visit and experience life in the original ecology villages of Li and Miao ethnic minorities with a guide.” The proposed AHP decision-making method has effectively been used to select ecotourism activity based on multiple criteria evaluations.

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Siddayao, Generino P., Sony E. Valdez, and Proceso L. Fernandez. "Analytic Hierarchy Process (AHP) in Spatial Modeling for Floodplain Risk Assessment." International Journal of Machine Learning and Computing 4, no. 5 (2014): 450–57. http://dx.doi.org/10.7763/ijmlc.2014.v4.453.

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Abed Aljasim Muhisn, Zahraa, Mazni Omar, Mazida Ahmad, and Sinan Adnan Muhisn. "Team Leader Selection by Using an Analytic Hierarchy Process (AHP) Technique." Journal of Software 10, no. 10 (2015): 1216–27. http://dx.doi.org/10.17706//jsw.10.10.1216-1227.

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Sonawane, P. D. "Application of Analytical Hierarchy Process to Analyze Delay in Commercial Construction Project in Nashik City." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46613.

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ABSTRACT The Analytic Hierarchy Process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematical analysis. It has copious applications in group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry and education. The main feature of AHP is its inherent capability of systematically dealing with a vast number of intangible and non-quantifiable attributes, as well as with tangible and subjective factors. To simplify the critical situations by analyzing the parameters affecting the selection, the ‘Analytic Hierarchy Process’ is utilized. Keywords: Analytic Hierarchy Process (AHP), Causes of delay, Consistency Index (CI)

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Riyanto, Agus, Bayu Adytia Kurniawan, Gabriel Sianturi, and Dina Oktafiani. "Supplier performance analysis using the Analytical Hierarchy Process (AHP) method." Matrix : Jurnal Manajemen Teknologi dan Informatika 12, no. 1 (2022): 1–6. http://dx.doi.org/10.31940/matrix.v12i1.1-6.

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This research aims to determine priorities in supplier selection. The determination of this supplier uses the Analytical Hierarchy Process (AHP) method by determining the criteria and sub-criteria of the supplier selection objectives. Each criterion and sub-criteria are arranged in a hierarchical structure and compared by determining the priority scale. The selection of suppliers is based on the largest global weight values. The selected supplier is PT. MMII with a global weight value of 0.280. The global weighted assessment has considered consistency in decision-making based on a consistency index, which must be below 10%. It shows that PT. MMII is selected based on existing criteria and sub-criteria compared to other suppliers. This study contributes to group decision-making involving experts to choose the most appropriate supplier.

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Nizam, Md Eanamul Haque, Md Moniruzzaman Rasel, Darko Ujevic, Ayub Nabi Khan, and Tarikul Islam. "Evaluation of Basic Shirt and Pant Fit Using Analytic Hierarchy Process-AHP and 3D CLO for 20-25 Years Bangladeshi Men." Indian Journal Of Science And Technology 17, no. 21 (2024): 2128–37. http://dx.doi.org/10.17485/ijst/v17i21.3034.

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Background: The proportion of a garment to its body is known as garment fit. To ensure comfort between the human body and clothing, fit is very important. At present, 3D simulation of garment fit has great potential for business purposes. However, in previous analyses, there were expert opinions on manual fit analysis, which is very popular in the industry. Objectives: The main objectives of this research are to ensure manual clothing fits with a live model with 3D CLO software evaluation. Method: In this study, up to 50 textile experts from industries have chosen to analyze the analytical hierarchy process (AHP) to evaluate clothing fit. Findings: In this study, small, medium, and large-sized basic shirts and pants (20–25 years old) have been developed for live model fit evaluation. According to the analytical hierarchy process (AHP), among small, medium, and large-sized basic shirts and pants, one or two sizes of garments have been tested for garment fit evaluations. The results of these fit evaluations are satisfactory, according to 50 textile experts, and are the main output of the 3D CLO software. Novelty: The analytic Hierarchy Process (AHP) is fully adopted by the Bangladeshi newly developed size chart, which is enhanced by the 3D CLO software. Keywords: Analytic Hierarchy Process (AHP), 3D CLO, Shirts, Pant, Garments, Bangladesh

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Pascoe, Sean, Anna Farmery, Rachel Nichols, Sarah Lothian, and Kamal Azmi. "A Modified Analytic Hierarchy Process Suitable for Online Survey Preference Elicitation." Algorithms 17, no. 6 (2024): 245. http://dx.doi.org/10.3390/a17060245.

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A key component of multi-criteria decision analysis is the estimation of criteria weights, reflecting the preference strength of different stakeholder groups related to different objectives. One common method is the Analytic Hierarchy Process (AHP). A key challenge with the AHP is the potential for inconsistency in responses, resulting in potentially unreliable preference weights. In small groups, interactions between analysts and respondents can compensate for this through reassessment of inconsistent responses. In many cases, however, stakeholders may be geographically dispersed, with online surveys being a more cost-effective means to elicit these preferences, making renegotiating with inconsistent respondents impossible. Further, the potentially large number of bivariate comparisons required using the AHP may adversely affect response rates. In this study, we test a new “modified” AHP (MAHP). The MAHP was designed to retain the key desirable features of the AHP but be more amenable to online surveys, reduce the problem of inconsistencies, and require substantially fewer comparisons. The MAHP is tested using three groups of university students through an online survey platform, along with a “traditional” AHP approach. The results indicate that the MAHP can provide statistically equivalent outcomes to the AHP but without problems arising due to inconsistencies.

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Zhao, Yuting, Honghua Liu, Wanlong Qu, Pengyu Luan, and Jing Sun. "Research on Geological Safety Evaluation Index Systems and Methods for Assessing Underground Space in Coastal Bedrock Cities Based on a Back-Propagation Neural Network Comprehensive Evaluation–Analytic Hierarchy Process (BPCE-AHP)." Sustainability 15, no. 10 (2023): 8055. http://dx.doi.org/10.3390/su15108055.

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With the rapid development of the economy in China, the scale and quantity of urban underground space development continue to grow rapidly; as such, geological safety problems in urban underground space development and utilization are a research hotspot at present. Therefore, it is important to establish a high-quality evaluation index system and method for assessing the geological safety of urban underground spaces in coastal bedrock. Taking the typical area of Qingdao as an example, this study establishes an effective system for evaluating the geological safety of urban underground space according to the geological background, hydrogeology, engineering geology, and unfavorable geological phenomena in the Hongdao Economic Zone of Qingdao. Then, the method of evaluating the geological safety of urban underground space was studied. Through a comprehensive analysis and comparison of the fuzzy comprehensive evaluation–analytic hierarchy process (FCE-AHP), the grey relation comprehensive evaluation–analytic hierarchy process (GRCE-AHP), the matter-element comprehensive evaluation–analytic hierarchy process (MECE-AHP), and the back-propagation neural network comprehensive evaluation–analytic hierarchy process (BPCE-AHP), it was determined that the back-propagation neural network comprehensive evaluation–analytic hierarchy process (BPCE-AHP) was an ideal method for evaluating the geological safety of underground space in Qingdao’s coastal bedrock area. This method was used to evaluate the geological safety of the study area, and the evaluation results were verified; this further proved the practicability and rationality of the back-propagation neural network comprehensive evaluation–analytic hierarchy process (BPCE-AHP).

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Marimuthu, G., and G. Ramesh. "On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria." International Research Journal of Engineering, IT & Scientific Research 2, no. 3 (2016): 54. http://dx.doi.org/10.21744/irjeis.v2i3.41.

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Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques. Every decision making can be considered as the choice from the set of alternatives based on a set of criteria. The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10]. The weight vectors from this comparison model are obtained by using extent analysis method. This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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Jenab, Kouroush, Sam Khoury, and Ahmad R. Sarfaraz. "Manufacturing Complexity Analysis with Fuzzy AHP." International Journal of Strategic Decision Sciences 3, no. 2 (2012): 31–46. http://dx.doi.org/10.4018/jsds.2012040103.

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Budgeting, resource allocation, and planning in manufacturing systems are important issues that can be managed by complexity measures. Manufacturing processes have several primary areas of complexity that may not be measured precisely due to uncertain situations. Therefore, this study reports a Fuzzy Analytic Hierarchy Process (FAHP) model for evaluating the process complexity that takes into account uncertain situations and manufacturing process technology. The model can rank manufacturing processes based on their relative complexities. An illustrative example for several processes is demonstrated to present the application of the model.

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Brožová, H. "The analytic hierarchy process for the decision tree with multiple criteria." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (2012): 77–82. http://dx.doi.org/10.17221/5170-agricecon.

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For choosing the best decision in daily agricultural practice, it is very important to formalize the decision process using systems analysis and mathematical methods. Theory of the decision-making under uncertainty or under risk supposes one criterion. In practice, the best solution is chosen under more decision criteria. Decision problem with &lt;i&gt;m&lt;/i&gt; alternatives, &lt;i&gt;n&lt;/i&gt; states of nature and k&nbsp;criteria has to be solved in this case. Application of the Analytic Hierarchy Process (AHP) for solution of this problem is described in this paper.

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Zhang, Jiao. "Application of Analytical Hierarchy Process to Risk Analysis of Port Construction Project." Applied Mechanics and Materials 170-173 (May 2012): 2292–97. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2292.

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The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.

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Starčević, Slobodan, Nebojša Bojović, Raimundas Junevičius, and Viktor Skrickij. "ANALYTICAL HIERARCHY PROCESS METHOD AND DATA ENVELOPMENT ANALYSIS APPLICATION IN TERRAIN VEHICLE SELECTION." Transport 34, no. 5 (2019): 600–616. http://dx.doi.org/10.3846/transport.2019.11710.

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Selection of a terrain vehicle for performing different tasks is an important factor, which influences the mobility of a user through the quality of conducting transport activities. This paper is dealing with the problem of the terrain vehicle selection for the equipping of military units which, are to be engaged in multinational operations, using the Analytical Hierarchy Process (AHP) method and Data Envelopment Analysis (DEA). Determination of the relative importance of criteria, which are used for evaluation of potential alternatives is conducted through AHP method. The results proposed by the AHP method are used as multiple outputs of the defined DEA model for the selection of the terrain vehicle. Based on the DEA model the efficiencies of alternatives are defined and also the final ranking of alternatives is determined. Besides the hybrid model AHP-DEA, which is the integral part of a basic multicriteria model in this paper the possible applications of Best Worst Method (BWM) and FUll COnsistency Model (FUCOM) are presented through validation of models. The validation is conducted through statistical data obtained by application of different multicriteria techniques, using Spearman’s Correlation Coefficient (SCC).

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Dahlan, Firmansyah, Nurul Musfira Amahoru, and Muslim. "Analytical Hierarchy Process (AHP) sebagai Solusi Pembinaan Sepakbola Amatir : Literatur Review." Jurnal Pendidikan Kesehatan Rekreasi Vol.9, No.2 (June 30, 2023): 274–85. https://doi.org/10.5281/zenodo.8137173.

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The focus of the data that will be displayed in this literature review is the extent to which AHP is used both in the form of analysis results, as well as as a data base from an application in the form of a Decision Making System (DSS) in sports science studies, then conclusions will be drawn in the form of an overview of AHP-based DSS design. in assisting the development of Amateur Football. Secondary data collection techniques use the systematic literature review (SLR) method, through the Preferred Reporting Items for Systematic Reviews and Meta Analysis approach or commonly known as PRISMA. Our findings show that : 1) AHP has been widely used in sports; 2) the use of AHP in the field of sports is divided into two types of research namely as a database in designing applications in the form of DSS and as a methodological formula to describe the problems studied and 3) the intended use of AHP in the sports sector is still limited to product trials which basically test work feasibility from an application perspective (technology and informatics) and has not yet touched on deeper theoretical concepts in the sports sector. The description of the development that can be carried out regarding the AHP-based SPK in assisting the development of amateur football, namely ; 1) designing AHP-based SPK from upstream to downstream (Selection and recruitment of players, Recruitment of coaches, Selection of training camps, Selection of forms of training according to the conditions of the players, Selection of tactics and strategies according to the composition of the athletes in the team, Selection of the main players who will compete) in the same application and 2) AHP in assisting the development of Amateur Football can be implemented in the form of a Blue-print or in this case a planning strategy from upstream to downstream.

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Zuo, Rui. "Research on the Land Decision of Real Estate Enterprises Based on Fuzzy AHP." Applied Mechanics and Materials 226-228 (November 2012): 2263–67. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.2263.

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Land decision is a prerequisite for the healthy development of real estate enterprises, the decision-making is a multi-criteria decision-making problem. This paper mainly research on the real estate enterprises’ land decision, considering the land decision factors integrating real estate enterprises’ characteristic, using the analytic hierarchy process (AHP) and fuzzy theory to effectively integrate qualitative and quantitative factors of the real estate enterprises’ land decision. First of all, this paper expounds the real estate enterprises’ land decision-making process based on the fuzzy analytic hierarchy process (AHP). Secondly, it takes an example of a real estate enterprise to analysis it. Finally, the research showed that the fuzzy analytic hierarchy process (AHP) was effectiveness and feasibility.

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Abdullah, Ade Gafar, Almira Hery Setiorini, Nabila Andara Dwitasari, Dadang Lukman Hakim, and Muhammad Aziz. "Location Suitability Analysis for Wind Farm Exploitation Using Fuzzy Analytic Hierarchy Process." Indonesian Journal of Science and Technology 6, no. 3 (2021): 523–34. http://dx.doi.org/10.17509/ijost.v6i3.38957.

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The development of renewable energy has been constantly conducted as an attempt to increase energy diversification, improve energy sustainability and reduce greenhouse gas emissions, including the wind power plant (WPP). Suitable location selection is urgently necessary to achieve optimized output and high economic values. There are multi-criteria to be considered during the selection process, namely wind velocity, climate condition, road access, environmental impact, land use, land tilt, plain condition, distance to residential areas, etc. This study aimed to develop a software supporting multi-criteria decision-making based on artificial intelligent technology, namely fuzzy analytic hierarchy process (fuzzy-AHP) which was implemented to evaluate the WPP location suitability. The method of fuzzy-AHP is believed to be able to generate prioritized criteria supporting the location of WPP with high accuracy. Based on those criteria, there were two locations identified at Tanah Laut Regency, South Kalimantan, Indonesia, as the most suitable research sites. It is expected that studies employing fuzzy-AHP are to be further developed to determine wider renewable WPP locations.

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Kim, Changwon, Yeesock Kim, and Hak Yi. "Fuzzy Analytic Hierarchy Process-Based Mobile Robot Path Planning." Electronics 9, no. 2 (2020): 290. http://dx.doi.org/10.3390/electronics9020290.

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This study presents a new path planning method based on Fuzzy Analytic Hierarchy Process (FAHP) for a mobile robot to be effectively operated through a multi-objective decision making problem. Unlike typical AHP, the proposed FAHP has a difference in using triangulation fuzzy number based extent analysis to derive weight vectors among the considerations. FAHP framework for finding the optimal position in this study is defined with the highest level (goal), middle level (objectives), and the lowest level (alternatives). It analytically selects an optimal position as a sub-goal among points on the sensing boundary of the mobile robot considering the three objectives: the travel distance to the target, robot’s rotation, and safety against collision between obstacles. Alternative solutions are evaluated by quantifying the relative importance for the objectives. Comparative results obtained from the artificial potential field, AHP, and FAHP simulations show that FAHP is much preferable for mobile robot’s path planning than typical AHP.

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Samanaseh, V., Z. Z. Noor, and M. A. Mazlan. "The application of analytic hierarchy process for innovative solution: A review." IOP Conference Series: Earth and Environmental Science 1143, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1755-1315/1143/1/012022.

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Abstract The Analytic Hierarchy Process (AHP) serves as an all-inclusive and logical approach to evaluate complex decisions making. This paper discusses a review on the methods of AHP in various power plant and production plant for multiple factors as well as indicates potential gaps from the researchers’ perspectives. Many analyses have identified various AHP applications to solving problems that necessitate both qualitative and quantitative elements. Generally, the applications of AHP cover large scale (complicated and real) and industrial oriented problems. A larger part of these applications or AHP case studies are arranged and a couple of paper focused on adding to AHP displaying prior to applying practical problems. As evidenced in this review, AHP has been applied in innovative solutions in industries such as biological treatment process, hydropower plant, electricity generation, and plastic waste management. Hence, this review provides a comprehensive list of the various applications of AHP in activities and fosters a system for highlighting the areas that that future researchers should focus on to assure a more thorough evaluation of the gaps.

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Fitriyono, Ary, Raditya Indra Kusuma, and Humiras Hardi Purba. "Analysis of Production Priority using Winter Forecasting Method and Analytical Hierarchy Process." JURNAL TEKNIK INDUSTRI 9, no. 1 (2019): 54–62. http://dx.doi.org/10.25105/jti.v9i1.4787.

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Forecasting is a tool to determine the extent of future conditions which will affect decisions on the strategic policy direction. Making the best decisions requires an analysis tool as a means for the level of accuracy can be achieved. This paper aims to forecast sales conditions radiator type A, type B and type C in 2016 and set priorities based on the results of analysis AHP production. The method used in forecasting using the method of Winter and decision analysis using AHP Pairwise comparison. Forecasts for radiator type A and type B tend to fluctuate while the linear C-type radiator, resulting in the production of type C are preferred. AHP analysis results indicate that the radiator of type C have a dominant score on the criteria of Production (0.382), Selling Price (0.376), Design (0.340), and Market Segment (0.329). As for Durability criteria, type B has the highest score of 0.391. Changes in sensitivity criteria has no significant effect on C-type radiator, so that it can be concluded radiator type C is a priority in radiator production line at company X for 2016.

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Almeida, Rafael Guimarães de, Gustavo Benitez Alvarez, Cecília Toledo Hernández, and Patrícia Alves Pereira de Sousa. "Some mathematical comments about the Analytic Hierarchy Process: Part II - Practical analysis." Pesquisa e Ensino em Ciências Exatas e da Natureza 5 (November 30, 2021): 1820. http://dx.doi.org/10.29215/pecen.v5i0.1820.

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O Analytic Hierarchy Process (AHP) é um método de apoio à decisão tendo como uma das maiores críticas o efeito de reversão de ranking. Uma nova análise matemática deste método é realizada em 22 aplicações. Duas formulações do AHP mostram-se equivalentes em solução e comportamento na análise de sensibilidade. A análise de sensibilidade realizada inclui uma parte típica usando o elemento crítico e duas novas análises usando o vetor coluna crítica e o número de condicionamento. Em alguns casos, o AHP é mais sensível a perturbações no vetor coluna crítico do que a perturbações no elemento crítico. O vetor coluna crítico é único, independentemente da perturbação ser relativa ou absoluta. A análise de sensibilidade usando o número de condicionamento revela que a reversão de ranking sempre existirá para todo método linear. Transformações algébricas para matrizes com posto incompleto são realizadas para obter um método mais estável e confiável.Palavras chave: Análise múltiple critérios, análise de decisão, reversão de ranking, sistemas lineares de equações, análise de sensibilidade, tomada de decisão.

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Tunjung-Sari, Ariza Budi, Fitrih Salsabilah Prameswari, Maria Belgis, and Winda Amilia. "Sensory Profile of Cocoa Powder Using Analytical Hierarchy Process." Pelita Perkebunan (a Coffee and Cocoa Research Journal) 38, no. 3 (2022): 211–20. http://dx.doi.org/10.22302/iccri.jur.pelitaperkebunan.v38i3.514.

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Cocoa powder comes with various attributes in its taste affecting consumer acceptance. The analytical hierarchy process (AHP) approach can be used to identify the effect of each attribute on the sensory profile of cocoa powder. This present study used the AHP approach to determine the degree of importance of sensory attributes on several types of cocoa powder and find the type with the best sensory profile. Cocoa powder comes from cocoa beans made through fermentation and non-fermentation process. In addition, we used non-fermented cocoa powder treated with water and incubated at 45oC for 4, 8, and 16 hours later named as incubated cocoa powder. Then, the sensory attributes of fermented cocoa powder were used as the reference in assessing the sensory profile of incubated cocoa powder, including the one going through the treatment. The sensory analysis performed by trained panelists revealed 11 attributes that made up the flavor profile of cocoa powder. Of these 11 attributes, only 4 were considered primary attributes with a high degree of importance, including chocolate (23.7%), sweet (19.9%), caramel (11.8%), and nutty (10.9%). Other attributes had a lower degree of importance, including creamy (7.4%), fruity (6.5%), green (5.4%), flowery (4.8%), astringent (4.5%), bitter (3.1%), and acid (2.2%). AHP also ranked the incubated cocoa powder based on the similarity of the flavor profile with fermented cocoa powder. Nonfermented cocoa powder without treatments fell into the lowest rank, while nonfermented cocoa powder with treatments fell into a higher category in the following order: 8 hours > 16 hours > 4 hours. To summarize, AHP can be used in decisionmaking affected by many factors. AHP has been proven effective in determining the sensory profile of cocoa powder, especially in choosing the attribute withthe highest effect. In addition, AHP helps determine the best treatment for incubated cocoa powder to produce the most similar sensory profile to fermented cocoa powder.

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Zaheb, Hameedullah, Obaidullah Obaidi, Sarban Mukhtar, Habiburahman Shirani, Mikaeel Ahmadi, and Atsushi Yona. "Comprehensive Analysis and Prioritization of Sustainable Energy Resources Using Analytical Hierarchy Process." Sustainability 16, no. 11 (2024): 4873. http://dx.doi.org/10.3390/su16114873.

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The growing global concern for climate change and the need for sustainable energy solutions have driven nations to explore renewable energy alternatives. This research focuses on a developing country heavily reliant on imported electricity and evaluates the potential of renewable energy resources. Using the Analytical Hierarchy Process (AHP), a multi-criteria decision-making method (MCDM), this study prioritizes sustainable energy resources crucial for energy security and environmental sustainability, given the country’s dependence on traditional and imported power and its potential for renewable energy development. This study employs AHP to evaluate and rank various sustainable energy options, emphasizing their technological, economic, environmental, and social impacts. The novelty of this research lies in its comprehensive and systematic approach to integrating diverse expert opinions and utilizing AHP; the development of a robust decision-making model that accommodates the diverse criteria and sub-criteria (SCs) influencing the prioritization of energy resources; and its bridging of the gaps through the integration of varied criteria and SCs, region-specific concerns, and stakeholders’ engagement by creating a comprehensive and inclusive prioritization strategy. The key findings highlight solar energy as the most viable sustainable energy resource, followed by wind and hydro energy. These results underscore the significant potential for solar energy development, considering its current technological advancements, economic affordability, social acceptance, and environmental friendliness. This study not only provides a prioritized list of sustainable energy resources but also offers a methodological framework adaptable for similar assessments in other regions facing energy transition challenges. Readers will find a detailed explanation of the AHP methodology, the criteria used for evaluating energy resources, and the implications of the findings for policy and decision making. This research is particularly relevant for policymakers, energy planners, and stakeholders interested in sustainable energy development and strategic planning in similar contexts.

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Sumanto, Sumanto, Karlena Indriani, Lita Sari Marita, and Ade Christian. "Supplier Selection Very Small Aperture Terminal using AHP-TOPSIS Framework." Journal of Intelligent Computing and Health Informatics 1, no. 2 (2020): 39. http://dx.doi.org/10.26714/jichi.v1i2.6290.

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There are several methods of decision making VSAT IT goods suppliers such as: Promethee, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP). Decision-making in the selection of the best suppliers, we have the basis of assessment criteria, and we will also be faced with more than one alternative. If alternatives are only two, maybe still easy for us to choose, but if the alternative is a lot of choice, it is quite difficult for us to decide. Analytical Hierarchy Process (AHP) is a technique that was developed to help overcome this difficulty, because the Analytical Hierarchy Process (AHP) is a form of decision-making model with many criteria. One of the reliability of the Analytical Hierarchy Process (AHP) is able to perform simultaneous analysis and integrated between the parameters of qualitative or quantitative. In this study the authors use six criteria and alternatives 6, the results of these alternatives will be obtained perangkingan alternative used as a reference supplier selection VSAT IT goods company Total EP Indonesie

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Budiono, Yusuf, and Dudi Permana. "Analysis of Propylene Glycol Raw Supplier Selection using the Analytic Hierarchy Process Method." European Journal of Business and Management Research 6, no. 2 (2021): 69–73. http://dx.doi.org/10.24018/ejbmr.2021.6.2.783.

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The purpose of this research is to study the priority order of the criteria and sub-criteria that influence supplier selection and to find out which supplier or supplier of the best raw material, which best meets the criteria for selecting the supplier that should be selected. In this study only limited to 4 criteria, namely price, quality, warranty, and delivery. This research is a qualitative research using the calculation method used is the Analytic Hierarchy Process (AHP) method. The software used in using the Analytic Hierarchy Process (AHP) method is version 3.2 super decisions. The findings show that the price criterion is the most important priority for companies to pay attention to, followed by delivery, quality, and warranty criteria.

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Huang, Jih-Jeng, and Chin-Yi Chen. "Using Markov Random Field and Analytic Hierarchy Process to Account for Interdependent Criteria." Algorithms 17, no. 1 (2023): 1. http://dx.doi.org/10.3390/a17010001.

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The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accurate in realistic scenarios where interdependencies between criteria exist. Several methods have been proposed to relax the postulation of the independent criteria in the AHP, e.g., the Analytic Network Process (ANP). However, these methods usually need a number of pairwise comparison matrices (PCMs) and make it hard to apply to a complicated and large-scale problem. This paper presents a groundbreaking approach to address this issue by incorporating discrete Markov Random Fields (MRFs) into the AHP framework. Our method enhances decision making by effectively and sensibly capturing interdependencies among criteria, reflecting actual weights. Moreover, we showcase a numerical example to illustrate the proposed method and compare the results with the conventional AHP and Fuzzy Cognitive Map (FCM). The findings highlight our method’s ability to influence global priority values and the ranking of alternatives when considering interdependencies between criteria. These results suggest that the introduced method provides a flexible and adaptable framework for modeling interdependencies between criteria, ultimately leading to more accurate and reliable decision-making outcomes.

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MASUDA, Tatsuya, and Katsuhiko FUJII. "Sensitivity Analyses of Priorities Used in the Analytic Hierarchy Process (AHP)." Transactions of the Society of Instrument and Control Engineers 23, no. 10 (1987): 1060–67. http://dx.doi.org/10.9746/sicetr1965.23.1060.

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Huang, Jih-Jeng, and Chin-Yi Chen. "Resource Allocation of Cooperative Alternatives Using the Analytic Hierarchy Process and Analytic Network Process with Shapley Values." Algorithms 17, no. 4 (2024): 152. http://dx.doi.org/10.3390/a17040152.

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Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) often overlook the synergistic potential of cooperative alternatives. This study introduces a novel method integrating AHP/ANP with Shapley values, specifically designed to address this gap by evaluating alternatives on individual merits and their contributions within coalitions. Our methodology begins with defining problem structures and applying AHP/ANP to determine the criteria weights and alternatives’ scores. Subsequently, we compute Shapley values based on coalition values, synthesizing these findings to inform resource allocation decisions more equitably. A numerical example of budget allocation illustrates the method’s efficacy, revealing significant insights into resource distribution when cooperative dynamics are considered. Our results demonstrate the proposed method’s superiority in capturing the nuanced interplay between criteria and alternatives, leading to more informed urban planning decisions. This approach marks a significant advancement in MCDM, offering a comprehensive framework that incorporates both the analytical rigor of AHP/ANP and the equitable considerations of cooperative game theory through Shapley values.

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Yulfadli, Zony, Sakila Herfiana Silmy Adani, and Mochamad Abdillah Nafis. "Analysis of Route Selection Using the Analytical Hierarchy Process (AHP) in Mahakam Ulu Regency." JSE Journal of Science and Engineering 3, no. 2 (2025): 59–65. https://doi.org/10.30650/jse.v3i2.4293.

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Roads are essential infrastructure for improving the economy of the community and regional development. Good road infrastructure certainly impacts the progress of an area. As the region develops and the complexity of the district government's tasks increases, which affects the increase in vehicle traffic, new road access is needed to facilitate the mobility of officials. The Analytical Hierarchy Process (AHP) method is one of the methods used for decision-making in project feasibility studies. In this study, there are four criteria used, namely 1. Distance 2. Efficiency, and; 3. Spatial Planning Integration and aesthetics. Each of these three criteria is broken down into two sub-criteria. Questionnaires were distributed to two respondents selected proportionally, consisting of one person from the Public Works Department of Mahakam Ulu Regency and one person from the Planning Consultant of PT. TEMA KARYA MANDIRI KSO. The questionnaire results were analyzed using the Analytical Hierarchy Process (AHP) method to assess four alternative road sections to be selected. Based on the AHP analysis of the main entrance road planning in the office area of Mahakam Ulu Regency, alternative location 1 was chosen with an AHP score of 0.473, which is higher than the other three alternatives. Therefore, alternative location 1 is recommended to proceed to the next study stage (Detail Engineering Design).

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Risonarta, Victor Yuardi, and Arie Cahya Kamila. "SUPPLY CHAIN RISK ANALYSIS AND ASSESSMENT USING ANALYTICAL HIERARCHY PROCESS (AHP): A REVIEW." Jurnal Rekayasa Mesin 13, no. 3 (2022): 875–86. http://dx.doi.org/10.21776/jrm.v13i3.1241.

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In these days, increasing consumer demand uncertainties, e.g. due to war in Europe, severe drought in west Europe or Covid pandemic, increase challenge in supply chain operation. Uncertainty and unreliable events interfere supply chain’s operations and strategies. As a result, increasing risks in supply chain becomes vulnerable and leads to undesired circumstance. A systematic approach is therefeore required to manage the risks. Of many methods, supply chain risk management (SCRM), as a part of supply chain management (SCM), is offered in this paper to address this challenge. The SCRM increases supply chain resilience agains many uncertainties. An important key of SCRM is risk assessment as risk-impact ordering method which can deliver solution with the lowest risks. Of many methods applied for risk assessment, analytic hierarchy process (AHP) provides several advantages, e.g. it can be used as multi-criteria decision making, it can be used with high flexibility and it can be used as subjective assessment. This paper discusses the AHP method in supply chain risk assessment as well as offers a new AHP structure applied for risk analysis.

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Gawlik, Remigiusz, Michał Głuszak, and Agnieszka Małkowska. "The Measurement of Housing Preferences in the Analytic Hierarchy Process." Folia Oeconomica Stetinensia 17, no. 1 (2017): 31–43. http://dx.doi.org/10.1515/foli-2017-0003.

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Abstract The paper focuses on an adaptation of the AHP method to elicit housing preferences on the rental market. To assess the applicability of the AHP method for residential market analyses, a survey was conducted on a group of students from Cracow University of Economics, Poland. The students were asked to evaluate the importance of particular criteria when selecting an apartment. We identified the major methodological difficulties of the utilization of the AHP method in applied research on preferences and decision-making on the housing market. Potential solutions to the mentioned limitations were also presented.

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Adebiyi, Sulaimon Olanrewaju, Emmanuel Olateju Oyatoye, and Owolabi Lateef Kuye. "An Analytic Hierarchy Process Analysis: Application to Subscriber Retention Decisions in the Nigerian Mobile Telecommunications." International Journal of Management and Economics 48, no. 1 (2015): 63–83. http://dx.doi.org/10.1515/ijme-2015-0035.

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Abstract The introduction of mobile number portability (MNP) in the Nigerian telecommunications industry has brought a new challenge for mobile operators. This study investigates the use of Analytic Hierarchy Process (AHP) in customer retention decisions in the Nigerian telecommunication industry using a cross-sectional survey design. Primary data were obtained through questionnaires administered to 480 mobile telecommunications subscribers in six tertiary institutions located in Lagos State, Nigeria. These educational institutions were chosen using a multistage sampling technique. Of 438 questionnaires received from subscribers, 408 were valid. Based on this sample data an AHP model was built to assess the determinants of customer retention decisions. Next, eigen values, an eigen vector and maximum lambda (λMax) were obtained using the AHP analysis for the matrices. This analysis shows that customers considered call quality as the important in the retention decision. We conclude that AHP is a meaningful tool for determining what motivates retention decisions, that can help network operators formulate effective customer retention strategies.

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Sumani, Sumani. "PENGUKURAN KINERJA BISNIS MELALUI PENDEKATAN BALANCED SCORECARD DAN ANALYTICAL HIERARCHY PROCESS (AHP)." EKUITAS (Jurnal Ekonomi dan Keuangan) 20, no. 4 (2016): 455. http://dx.doi.org/10.24034/j25485024.y2016.v20.i4.1842.

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The aim of this study is Analyzing the business performance using balanced scorecard approach and Analytical Hierarchy Process (AHP). The population in this study were all employees and members of BMT-UGT Sidogiri. The sampling technique was Stratified Random Sampling for employees and convenience random sampling for BMT-UGT members Sidogiri. level positions (positions) of employees at BMT-UGT Sidogiri be the foundation of a random sample and tiered. The research sample used in this study were 42 employees and 212 members of BMT-UGT Sidogiri. The results showed: (1). balanced scorecard approach, showed the financial perspective (BMT-UGT Sidogiri conditions were good); perspective of satisfaction (satisfied with the services Sidogiri BMT-UGT); internal business perspective (increasing the number of business units); learning and growth perspective (employee productivity has increased); (2). The analysis perspective Balanced Scorecard using AHP Analysis of the individual perspective Balanced Scorecard by using AHP shows that the perspective is considered the most influential on the performance of the company is customer perspective that has the highest weight value, while the factor most considered to have the highest influence on the customer's perspective is the growing number of members. In other hand, internal business perspective has lowest value as a result of AHP analysis.

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Sumani, Sumani. "PENGUKURAN KINERJA BISNIS MELALUI PENDEKATAN BALANCED SCORECARD DAN ANALYTICAL HIERARCHY PROCESS (AHP)." EKUITAS (Jurnal Ekonomi dan Keuangan) 20, no. 4 (2018): 455–72. http://dx.doi.org/10.24034/j25485024.y2016.v20.i4.55.

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The aim of this study is Analyzing the business performance using balanced scorecard approach and Analytical Hierarchy Process (AHP). The population in this study were all employees and members of BMT-UGT Sidogiri. The sampling technique was Stratified Random Sampling for employees and convenience random sampling for BMT-UGT members Sidogiri. level positions (positions) of employees at BMT-UGT Sidogiri be the foundation of a random sample and tiered. The research sample used in this study were 42 employees and 212 members of BMT-UGT Sidogiri. The results showed: (1). balanced scorecard approach, showed the financial perspective (BMT-UGT Sidogiri conditions were good); perspective of satisfaction (satisfied with the services Sidogiri BMT-UGT); internal business perspective (increasing the number of business units); learning and growth perspective (employee productivity has increased); (2). The analysis perspective Balanced Scorecard using AHP Analysis of the individual perspective Balanced Scorecard by using AHP shows that the perspective is considered the most influential on the performance of the company is customer perspective that has the highest weight value, while the factor most considered to have the highest influence on the customer's perspective is the growing number of members. In other hand, internal business perspective has lowest value as a result of AHP analysis

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Anita Theresia Kurniawati and Misbahul Munir. "ANALYTIC HIERARCHY PROCESS (AHP) UNTUK PENENTUAN RANGKING PENGGUNAAN LAHAN." Journal of Research and Technology 3, no. 1 (2017): 54–62. http://dx.doi.org/10.55732/jrt.v3i1.811.

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In urban spatial planning, the Local Government prioritizes land use to support planning development. The use of available land in an area must be adjusted to the function. So far, sometimes in an area the use of available land in an area does not fit with its function. Therefore, in this research will be determined the priority and ranking of land use by using Analytic Hierarchy Process (AHP). Ranking is based on four aspect criterias: social demography, economic, spatial and regional plan (RTRW), and environmental aspect. Based on the alternatives and criteria and also subcriteria, the decision hierarchy model is made. Then it will be assessed for the comparison between criterias and subcriterias and their consistency value. The result is achieved by using Expert Choice software version 11 and analysis, it showed that the main priority of land allocation in Sidoarjo regency was used as agricultural land (31.9%).

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Journal articles on the topic 'Analysis Hierarchy Process (AHP)'

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