• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.1
• /
• pp.143-151
• /
• 2015

In this paper, we investigate how the power consumption of a heat pump dryer depends on various factors in the drying process by analyzing variables that affect the power consumption. Since there are in general many variables that affect the power consumption, for a feasible analysis, we utilize the principal component analysis to reduce the number of variables (or dimensionality) to two or three. We find that the first component is correlated positively to the entrance temperature of various devices such as compressor, expander, evaporator, and the second, negatively to condenser. We then model the power consumption as a multiple regression with two and/or three transformed variables of the selected principal components. We find that fitted value from the multiple regression explains 80~90% of the observed value of the power consumption. This results can be applied to a more elaborate control of the power consumption in the heat pump dryer.

• International Journal of Advanced Culture Technology
• /
• v.10 no.1
• /
• pp.67-74
• /
• 2022

In this study, the core competencies of 7-Eleven, Japan's representative convenience store, were derived through a qualitative analysis method using VRIO (value, rarity, Imitability, and organization) framework, a management strategy model based on Resource-Based View (RBV). As a result of VRIO analysis, the value can be based on the scale that 7-Eleven ranks first in the Japanese convenience store industry in terms of the number of stores and market share that it has developed based on capital. The rarity is based on the fact that raw material procurement, the main activity of a company, is establishing the nation's largest distribution channel in the entire process, from producers to logisticians and franchisees. The difficulty for Imitability is based on a dominant strategy and has secured a competitive advantage by opening stores in a specific area, improving awareness, and raising barriers to entry. As the largest company in the convenience store industry, it is confirmed that 7-Eleven is the result of organizational power that has built stores not only in Korea but also in 16 countries around the world.

• Journal of Magnetics
• /
• v.21 no.2
• /
• pp.215-221
• /
• 2016

We conducted a phased electromagnetic forming process analysis (EFPA) over time through a coupling of electromagnetic analysis and structural analysis. The analysis is conducted through a direct linkage between electromagnetic analysis and structural analysis. The analysis process is repeated until the electric current is completely discharged by a formed coil. We calculate the forming force that affects the workpiece using MAXWELL, a commercial electromagnetic finite element analysis program. Then, we simulate plastic behavior by using the calculated forming force data as the forming force input to ANSYS, a commercial structure finite element analysis program. We calculate the forming force data by using the model shape in MAXWELL, a commercial electromagnetic finite element analysis program. We repeat the process until the current is fully discharged by the formed coil. Our results can be used to reduce the error in data transformation with a reduced number of data transformations, because the proposed approach directly links the electromagnetic analysis and the structural analysis after removing the step of the numerical analysis of a graph describing the forming force, unlike the existing electromagnetic forming process. Second, it is possible to simulate a more realistic forming force by keeping a certain distance between nodes using the re-mesh function during the repeated analysis until the current is completely discharged by the formed coil, based on the MAXWELL results. We compare and review the results of the EFPA using the peak value of the forming force that acts on the workpiece (which is the existing analysis method), and the proposed phased EFPA over time approach.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.88-95
• /
• 2001

To convert the construction industry from 'the high cost, the low efficiency' to 'the low cost, the high efficiency and value-added industry' and to enhance the performance and quality of products while reducing the cost, the related law and guideline were established and promulgated, which regulate that value engineering workshop during the preliminary design and the detail design stage should be a mandatory process. But VE practitioners are still confusing in choosing the proper value engineering process, because processes those are described in the various references use the different terms, steps and activities, even though they have their own specific characteristics. To resolve these confusions, the existing steps and activities of three kinds of the literature, four kinds of the organization's policy and other four kinds of study examples relating to the design VE were examined. And then, the differences and expecting problems were extracted through the comparison and analysis of those materials. After that, VE specialists' opinion through the questionnaire survey were grasped. Based on those studies the improved design VE Job Plan and activity statements were suggested.

• Journal of Applied Reliability
• /
• v.16 no.2
• /
• pp.98-103
• /
• 2016

Purpose: The purpose of this paper is to get a meaningful information for improving manufacturing quality of the products before they are produced in client's manufacturing process. Methods: A variety of data mining techniques have been being used for wide range of industries from process data in manufacturing factories for quality improvement. One application of those is to get meaningful information from process data in manufacturing factories for quality improvement. In this paper, the failure rate at client's manufacturing process is predicted by using the parameters of the characteristics of the product based on PCA (Principle Component Analysis) and regression analysis. Results: Through a case study, we proposed the predicting methodology and regression model. The proposed model is verified through comparing the failure rates of actual data and the estimated value. Conclusion: This study can provide the guidance for predicting the failure rate on the manufacturing process. And the manufacturers can prevent the defects by confirming the factor which affects the failure rate.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.5
• /
• pp.485-491
• /
• 2019

In this paper, we present a process and case of RAM analysis using Field-Data of the ground weapon system in operation in the army. In order to perform RAM analysis in filed-Data, we propose data collection, data refining and calibration, and RAM analysis process. RAM analysis was performed with the RAM verification and evaluation system developed by Defense Agency for Technology and Quality. We enhance the objectivity and reliability in result of data, which contains a variety of conditions; operation and maintenance concept of domestic ground weapon system, relevant regulation and after-sales service data of developer. Results are compared 2015, 2018 and development RAM value. We prove results of RAM analysis through discussion experts. Studies show that proposed method can effectively apply database from setting to evaluation RAM value in various ground weapon system.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.4D
• /
• pp.695-702
• /
• 2006

In GIS-based Spatial Decision-making Support System (SDSS), the Boolean logic by conventional simple overlay method contains two problems. One is losing lots of information in analysis process, the other is unable to reflect of weighting values between evaluated items. Therefore, evaluation system as Analytic Hierarchy Process (AHP) needs to improve these problems effectively. The purpose of this study is to provide the benefit of AHP method and GIS spatial analysis in site analysis for crop cultivation. First, the weighting value of AHP for topography, distribution grade of water, property of soil and slope items are evaluated throughout survey to experts of soil, crop and agricultural management fields. On the basis of these weighting value of AHP by items, site suitability analysis for black raspberry cultivation is performed. To estimate the benefit of AHP method, the current cultivating map of black raspberry is constructed in Ssangchi-myeon district. In comparison with site analysis of Boolean logic, site analysis of AHP method shows more realistic.

• Journal of Information Technology Applications and Management
• /
• v.28 no.4
• /
• pp.13-20
• /
• 2021

In this paper, I was applied the life distribution following linear failure rate distribution, Lindley distribution and Burr-Hatke exponential distribution extensively used in the arena of software reliability and were associated the reliability possessions of the software using the nonhomogeneous Poisson process with finite failure. Furthermore, the average value functions of the life distribution are non-increasing form. Case of the linear failure rate distribution (exponential distribution) than other models, the smaller the estimated value estimation error in comparison with the true value. In terms of accuracy, since Burr-Hatke exponential distribution and exponential distribution model in the linear failure rate distribution have small mean square error values, Burr-Hatke exponential distribution and exponential distribution models were stared as the well-organized model. Also, the linear failure rate distribution (exponential distribution) and Burr-Hatke exponential distribution model, which can be viewed as an effectual model in terms of goodness-of-fit because the larger assessed value of the coefficient of determination than other models. Through this study, software workers can use the design of mean square error, mean value function as a elementary recommendation for discovering software failures.

• The Korean Journal of Franchise Management
• /
• v.14 no.4
• /
• pp.67-83
• /
• 2023

Purpose: The beauty market is growing rapidly and becoming more competitive as new shops enter the market and offer similar products and services. The way for industries such as beauty shops to succeed in market competition is to understand customer needs and provide a marketing mix appropriate for those needs. Research design, data, and methodology: The survey was conducted for a total of 4 days from October 4 to October 7, 2023, and a total of 2,431 copies were distributed and 463 copies were returned. Excluding 2 copies with insincere responses, 461 copies were used for analysis. The data were analyzed with SPSS 25.0 and SamrtPLS 4.0. Result: Product, price, promotion, people, and physical evidence influence perceived value, but place and process didn't. Product, process, and physical evidence influence reputation, but price, location, promotion, and people didn't. Perceived value influences revisit intention but did not reputation. Reputation influences revisit intention. Conclusions: First, beauty shops must develop beauty services that can satisfy customers' needs. Second, beauty shops must continue to invest in external facilities and interior design. Third, intangible service processes can help the beauty shop's reputation. Fourth, beauty shops need to maintain a balance between price and perceived value so that customers can be satisfied with the service experience.

• Proceedings of the Earthquake Engineering Society of Korea Conference
• /
• 2002.09a
• /
• pp.28-34
• /
• 2002

The b-value in the magnitude-frequency relationship logN(m) = $\alpha$ - bmwhere N(m) is the number of earthquakes exceeding magnitude m, is important seismicity parameter In hazard analysis. Estimation of the b-value for earthquake data observed on KSRS array network is done employing the maximum likelihood technique. Assuming the whole Korea Peninsula as a single seismic source area, the b-value is computed at 0.9. The estimation for KMA earthquake data is also similar to that. Since estimate is a function of minimum magnitude, we can inspect the completeness of earthquake catalog in the fitting process of b-value. KSRS and KMA data lists are probably incomplete for magnitudes less than 2.0 and 3.0, respectively. Examples from probabilistic seismic hazard assessment calculated for a range of b-value show that the small change of b-value has seriously effect on the prediction of ground motion.