• Journal of Drive and Control
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• v.19 no.1
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• pp.34-42
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• 2022

Hydrostatic transmission (HST) comprises rotary parts, shafts, valve plate, swashplate, and servo pistons. Ensuring structural stability of each part of an HST has a significant impact on product safety. In this study, the structural stability of HST in agricultural machinery and industrial vehicles was analyzed using ANSYS software. For conservative evaluation, high-pressure conditions (35.5 MPa and 2 MPa pilot pressure) were applied as load conditions. The number of grids used in the calculations ranged from 0.4 to 0.8 million depending on modeling requirements. Structural analysis was performed for essential parts and safety factor was analyzed. All major parts of HST had a safety factor of ≥ 1.5. Thus, they were judged to be structurally safe. This study provides important information for designing an HST system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.1
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• pp.133-140
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• 2018

The purpose of this paper is to provide baseline on the current status and the activation of BIM in civil engineering which can integrate and manage the information and tasks generated during the life cycle. Hierarchical analysis was conducted to identify the level of BIM application, recognition survey for practitioners, and activation plans. The survey results show similar trends in BIM activation inhibition factor, the need for BIM, the effect of BIM and the future possibility of BIM. The utilization of BIM and the technical training in the civil engineering field were lower than those in the architectural field. The analysis of AHP(Analytic Hierarchy Process) is performed to identify the degree of importance in financial, operational, investment, technical, and institutional sections as its activating factors. As a result, the technical factor points the highest degree. Thus, study shows the direction to apply BIM in civil engineering in the future by suggesting an efficient plan.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.289-298
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• 2007

The development of construction industry has led to the increase in the number of criteria imposed by project clients for selecting contractors. For example, clients often request tenderers to satisfy various conditions such as tight programme, financial strength, managerial ability, relevant work experiences, technical strength, high workmanship standard, safety requirement, quality specification, and yet others. This trend has attracted research interests of devising various methods for helping project clients to assess contractors' bids. For example, in recent development, the Works Bureau of the Hong Kong Government has introduced two mechanisms in tender evaluation for various public work contracts, namely, the Marking Scheme effective from June 2002 and the Formula Approach effective from November 2002 [1], [2]. These approaches evaluate a contractor's tender by considering collectively its tender price and performance attributes, the latter including contractor experience, past performance, technical resources and technical content of his proposal. The tender with the highest combined price and performance score (CPPS) will be normally recommended for acceptance. It appears, however, that there is little existing research in helping contractors to identify a competition strategy that enables the contractor to offer his most competitive bid collectively taking into account his resource capacities and project client's multiple performance criteria. This paper examines the factors affecting contractor's competition strategy to compete for works in Hong Kong. The understanding about the factors will contribute to identifying effective competition strategy. The data used for the analysis were collected from Hong Kong construction industry. The research findings may provide valuable references for investigating effective competition strategies in other construction industries outside the region.

• 대한공업교육학회지
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• v.40 no.1
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• pp.40-63
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• 2015

The purpose of this research is to identify internal and external factors that affect specialized technical high school students' career decision status. It then uses career decision types to predict the variables which have the impact on emotional aspects of specialized technical high school student who feel comfortable or uncomfortable after career decision in order to help specialized technical high school students choose their career. The subject of this study consist a total of 809 male and female students attending specialized technical high school located in South Korea. Data were analyzed to investigate the types of career decision status of specialized technical high school students using the SPSS 21.0 program. The results obtained through the study were as follows. Types of career decision status of specialized technical high school students were divided into four groups based on career decision status and types of emotional state. Results showed the decision-comfort(51.3%), decision-discomfort(25.6%), indecision- discomfort(15.3%), indecision-comfort(1.3%) in order. Social support were selected as variables affecting the comfort and discomfort of two groups and the determining factor which distinguished four groups. Result of the analysis showed that social support has statistically significant impact on whether it was decision or not and comfort or not. But career decision-making self-efficacy has no big impact on career decision types. Taking all results of this study together, we can see that specialized technical high school students feel comfortable and they decide the career, but still many students feel uncomfortable on their decision after deciding their career. It suggests the need of development and operation of program about emotional status of career decision which can help specialized technical high school students prepare their career comfortably after they decide on the career, and the need of segmented career counseling approach including social support group.

• Journal of Energy Engineering
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• v.22 no.3
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• pp.283-286
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• 2013

The existing nuclear power plants have been often redesigned by increasing or decreasing electrical power without changing design concept by the request of utility, economic factors or other factors. When the cost of power plant equipment redesigned by changing reactor power and electrical power is estimated, if its quotation is not available in the market place, cost scaling factor(CSF) applies to the cost of existing plant equipment and then the new-designed equipment cost can be calculated. In this paper, we review CSFs according to plant capacity change cases in United State DOE, EPRI, ABB, SWEC and introduce the results applied to Korean PWR 1000MWe and 1400MWe.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.723-738
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• 2007

This paper draws some implications from Logarithmic Mean Weight Divisia Method (LMWDM) on the sources of $CO_2$ emission changes in the manufacturing sectors of Korea, UK, and USA. The sources of change in industrial $CO_2$ emission of a country, as manifested by production scale factor, structural factor, and technical factor, summarizes the forces behind the change in $CO_2$ emissions in each country's manufacturing sector. There are three observations. First one is that Korea's emission is increasing while USA and UK are experiencing reduction or stabilization of $CO_2$ emission in the manufacturing sector. Second implication is that the technical factor affecting $CO_2$ emission in Korea does not help much, or even hinder, the reduction of $CO_2$ emissions, comparing to USA and UK. Third one, which is the combined result of the first and the second one, is that Korea's increasing trend in aggregate $CO_2$ emission throughout the periods in consideration is mainly due to the failure in technical progress, or the deterioration in the structure of within subcategories, or both. The policy implications is clear. The obvious prescription is to launch a nation-wide policy drive which can revert these adverse trends.

• Korea Trade Review
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• v.43 no.3
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• pp.1-26
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• 2018

This study estimates the technical efficiency and total factor productivity(TFP) of and analyzes the relationship between TFP and exports for Korean manufacturing companies from 2000 to 2016. Specially, TFP is decomposed into Technical Change(TC), Technical Efficiency Change (TEC), and Sale Effect(SE), and compared between large and small enterprises. First, in the case of technical efficiency, the Korean economy has been very vulnerable to external shocks, such as the sharp decline following the 2008 financial crisis. The efficiency of the electronics, automobile, and machinery sectors is low and needs to be improved. In addition, the technological efficiency of large enterprises is higher than that of SMEs in most manufacturing sub-sectors except for non-ferrous metals. In the case of TFP, most changes are due to TC, and the effective combination of labor, capital and the effect of scale have little effect, suggesting that improvement of internal structure is urgent. In addition, volatility due to the impact of the financial crisis in 2008 was much larger in SMEs than in large companies, so external economic impacts are more greater for SMEs than large enterprises. The relationship between TFP decomposition factors and exports shows that TC has a positive effect only on exports of SMEs. Therefore, in order to increase exports, in the case of SMEs, R&D support to promote technological development is needed. In the case of large companies, it is necessary to establish differentiated strategies for each export market, competitor company, and item to link efficiency and scale effect of exports.

• 한국디지털정책학회:학술대회논문집
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• 2006.12a
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• pp.167-175
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• 2006

This paper aimed to exam core factors of the success factors of new products and analyze their effects on success. To accomplish this purpose, this study examined previous studies and summarized core factors of success factors of new products. From previous studies, we drawed core factor Core factor is technology factors(marketing skills, technical skills), specific of new product(more innovative, less innovative, cost advantage, competitive advantage), the process of product development(crossfunctional integralion, staff involvement). Except for more innovative factors, the others factors affect on success To be winner , companies must be consider these key factor( less innovative, cost advantage, competitive, advantage, cross-functionalintegration, staff involvement)

• Journal of Digital Convergence
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• v.4 no.2
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• pp.27-39
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• 2006

This paper aimed to exam core factors of the success factors of new products and analyze their effects on success. To accomplish this purpose, this study examined previous studies and summarized core factors of success factors of new products. From previous studies, we drawed core factor. Core factor is technology factors(marketing skills, technical skills), specific of new product(more innovative, less innovative, cost advantage, competitive advantage), the process of product development(crossfunctional integration, staff involvement). Except for more innovative factors, the others factors affect on success. To be winner, companies must be consider these key factor(less innovative, cost advantage, competitive advantage, cross-functionalintegration, staff involvement).

• IE interfaces
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• v.9 no.2
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• pp.191-202
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• 1996

A variety of approaches on performance evaluation modeling have appeared in the technical literature for flexible manufacturing systems(FMS) which can be evaluated only through computer simulation. This study represents a comparative approach for FMS performance evaluation modeling based on reliability, availability and maintainability, and life cycle cost. The methodology proposed in this research includes the following three-step generative approaches. First, a static model to find the initial system configuration is considered under the assumption that the system availability is given as one (failure and maintenance are not considered), and in second step, a stochastic simulation is proposed to serve as a performance evaluation model for FMS with stochastic failure and repair time. In the last step, we developed a simulation modeling using a simulator, FACTOR/AIM to consider a variety of performance factors and dynamic behavior of FMS. Also the applicability and validity of the proposed approaches has been tested and compared through the results of a sample problem using computer programs and procedures developed in each step.