• Journal of Digital Convergence
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• 제8권1호
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• pp.81-92
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• 2010

This study focuses on the evaluation of an article about the AHP methodology in project area at 2001 edition. It is titled, "Application of AHP in project management," by K.M.A.S-S. Al-Harbi. This paper presents the Analytical Hierarchy Process (AHP) as a decision making method in project management. The evaluation by each section is based on the model by Fred Pyrczak (2008) in Evaluating Research in Academic Journals. This paper has an implication that evaluation method can be shown by quantitative numerical value.

• Journal of Korea Society of Industrial Information Systems
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• 제12권5호
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• pp.163-172
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• 2007

ESC has been used as a tool for evaluating overall performance of firms. ESC focuses mainly on building a balanced viewpoint comprising perspectives and their metrics. It is, therefore, difficult to value overall strategic achievements of a company derived by consolidating various perspectives and metrics. Because of the absence of a method for consolidating ESC metrics and computing total score based on these metrics, it is difficult to evaluate whole strategic performance and find core obstacle parts of performance. In this paper, we suggest a method of normalizing a numerical value of metrics with different units, and calculating the total score of ESC metrics. We conduct a case study of evaluating the effectiveness of CRM to illustrate the applicability and feasibility of the suggested method.

• Structural Monitoring and Maintenance
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• 제8권4호
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• pp.361-378
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• 2021

While the pavement rating system is being utilized for periodic road condition assessment in the Eastern Region municipality of Saudi Arabia, the condition assessment is costly, time-consuming, and not comprehensive as only few parts of the road are randomly selected for the assessment. Thus, this study is aimed at developing a condition assessment model for a specific sample of a residential road network in Dammam City based on an individual road and a road network. The model was developed using the Analytical Hierarchy Process (AHP) according to the defect types and their levels of severity. The defects were arranged according to four categories: structure, construction, environmental, and miscellaneous, which was adopted from sewer condition coding systems. The developed model was validated by municipality experts and was adjudged to be acceptable and more economical compared to results from the Eastern region municipality (Saudi Arabia) model. The outcome of this paper can assist with the allocation of the government's budget for maintenance and capital programs across all Saudi municipalities through maintaining road infrastructure assets at the required level of services.

• Journal of Korean Society of Rural Planning
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• 제16권3호
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• pp.67-76
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• 2010

The objective of this study is to investigate a priority and selection of agricultural specialization items from Daegu and Gyeongbuk region by using analytical tools such as, the Analytic Hierarchy Process(AHP) and the Scoring Method. The results of this study are as follows; 1) Five major items were selected for each region based on Daegu and Gyeongbuk regional agricultural performances. 2) The results of AHP analysis, Daegu and Gyeongbuk's agricultural experts evaluated the weight of three decision-elements(objectiveness 0.35, efficiency 0.341, identity 0.309) and seven decision-elements. 3) Results of AHP and Scoring Method analysis, Investigated a priority of agricultural specialization 3 items in 25 cities and districts Daegu and Gyeongbuk regional agricultural performances. 4) Finally, The results of this study will provide basic information on agricultural specialization policy in Daegu and Gyeongbuk region.

• Journal of Information Technology Applications and Management
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• 제13권1호
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• pp.77-94
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• 2006

Case-based Reasoning (CBR) is widely used in business and industry prediction. It is suitable to solve complex and unstructured business problems. Recently, the prediction accuracy of CBR has been enhanced by not only various machine learning algorithms such as genetic algorithms, relative weighting of Artificial Neural Network (ANN) input variable but also data mining technique such as feature selection, feature weighting, feature transformation, and instance selection As a result, CBR is even more widely used today in business area. In this study, we investigated the usefulness of the CBR method in forecasting success in implementing ERP systems. We used a CBR method based on the feature weighting technique to compare the performance of three different models : MDA (Multiple Discriminant Analysis), GECBR (GEneral CBR), FWCBR (CBR with Feature Weighting supported by Analytic Hierarchy Process). The study suggests that the FWCBR approach is a promising method for forecasting of successful ERP implementation in Small and Medium sized Enterprises.

• Korean Journal of Construction Engineering and Management
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• 제25권2호
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• pp.11-22
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• 2024

Power plant engineering industry obtains EPC plan project and delivers results about electricity, measurement, machinery, and piping and so on. Its works are taken by projects. Although power plant engineering composes 2~5% of whole EPC project cost, it's one of the fundamentals because it affects process after planning step a lot. However, domestic power plant engineering companies' project performance ability is insufficient and there's a need for systematic performance. Thus, this study defined related factors of successful performance and analyzed the priority among them through analytical hierarchy process. All respondents recognized experience, knowledge, and communication as important factors. Administrators considered knowledge, experience, and communication. But hands-on workers considered experience, knowledge, human resources. Those who have experience in oversea project considered process, experience, human resources. However those who don't have experience in oversea project considered knowledge, experience, and communication. Recognition of important factors varies by the position and work experience of members.

• Journal of The Korean Society of Agricultural Engineers
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• 제49권3호
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• pp.63-68
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• 2007

The LRA(Logistic Regression Analysis) conducts a quantitative analysis by collecting a lot of samples and the AHP(Analytic Hierarchy Program) makes use of expert decision influenced by subjective judgment to a certain degree. This study is to suggest a combination method in mapping landslide hazard by giving equal weight for the result of LRA and AHP. Topographic factors(slope, aspect, elevation), soil dram, soil depth and land use were adopted to classify landslide hazard areas. The three methods(LRA, AHP, the combined approach) was applied to a $520km^2$ region located in the middle of South Korea which have occurred 39 landslides during 1999 and 2003. The suggested method showed 58.9% matching rate for the real landslide sites comparing with the classified areas of high-risk landslide While LRA and AHP Showed 46.1% and 48.7% matching rates respectively. Further studies are recommended to find the optimal combining weight of LRA and AHP with more landslide data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• 제9권2호
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• pp.1-11
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• 2010

The provision of warning information on upcoming hazards leading to potential crash occurrence is a significant countermeasure to prevent crashes on the highway. This study presents a methodology for selecting more effective warning messages using a multi-criteria value function. The understandability, preference level, and message reading time were used as measures of effectiveness (MOE) for messages. Expert judgements were incorporated into the value function by analytical hierarchical process (AHP) technique. Field experiments to evaluate the warning messages were conducted in a testbed section on the Jungboo-Naeryuk freeway. The proposed methodology would be a useful tool to support the design of various traffic information messages.

• CRM연구
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• 제4권1호
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• pp.19-34
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• 2011

Recently, companies have interests in the adoption and diffusion of customer relationship management(CRM). And, as information and communication technologies and Internet technologies proliferate, they also have interests in e-CRM, which implements CRMusing online communication channels. Until now, many researchers have tried to identify the success factors of CRM and evaluate their relative importance. However, only a few studies have dealt with the success factors of e-CRM. For this reason, we aim at identifying and evaluating the success factors of e-CRM in order to provide the companies with the guideline for preparing the implementation of e-CRM. Our study adopts analytical hierarchy process(AHP) as a tool for evaluating these factors because it has been widely applied and validated for a long time. Whereas prior studies have analyzed the success factors from the organizational and technological perspective, our study analyzes them from the functional perspective. As a result, we found that the companies should manage all the CRM components including analytic-operational-collaborative CRM in good balance. Also, we found that the sufficient support from CEO, the acquisition of good quality customer data, and theonline processing capability for responding customers' requests effectively are important for the success of e-CRM.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제19권2호
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• pp.595-601
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• 2018

The era of autonomous vehicles, which drive themselves and in whose operation the driver does not intervene, is fast approaching. The safety of autonomous vehicles can be guaranteed only if they recognize the road infrastructure. However, the road infrastructure consists of road safety facilities, traffic operation systems, and cross-sectional concerns, which include a variety of components, such as types, shapes, and sizes. Therefore, it is necessary to prioritize the road information. This study was conducted to select the priority with which the road infrastructure attributes should be acquired using the AHP (Analytical Hierarchy Process) method. The road infrastructure attributes were categorized into 2 levels, levels 1 and 2, which consisted of 3 and 26 types of attributes, respectively. As a result of the AHP analysis, it was found that the highest priorities of the road infrastructure are the road safety facilities, traffic operation systems and cross sectional concerns. Also, in level-2, the priorities of the safety barriers (road safety facilities), traffic signals (traffic operation systems), and the median (cross sectional) are the highest. Also, this study provides application examples of road infrastructure extraction with the Point Cloud. The results are expected to support the recognition of technology for autonomous vehicles.