• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2015.05a
• /
• pp.190-191
• /
• 2015

Construction delays occur frequently in outrigger framework of tall buildings due to the unexpected conditions and lack of experience. However, delay factors of the outrigger framework has not been managed efficiently. Therefore, the systematic management is needed by perceiving possible delay factors before constructing management system. In this study, the major delay factors of outrigger framework are conducted to derive by using the Importance Performance Analysis(IPA). It is expected that the results of this study are utilized for planning of systematic scheduling in outrigger framework of tall building.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.5
• /
• pp.177-190
• /
• 2006

Construction projects are facing delay problems. Delays in construction have been immense effect on performance or satisfactory delivery of the project. Delays have been causing project cost overrun as well as it is a source of dispute hence damaging the relationship between the project participants. The purpose of this study was to explore the causes of delay risk through a field survey study. Data were collected from construction professionals working in owner, consultant and contractor organizations. All together 208 questionnaire instruments were used and analyzed by employing statistical tools (SPSS computer program). 19 delay factors were identified by this study, out of which following factors were critical: Frequent interruptions from public (local people, pressure group etc.), changed site condition, failure to provide required construction site, unrealistic project time estimation and design errors.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2006.11a
• /
• pp.496-501
• /
• 2006

Work delay is the one of facts that make the reliability of construction business decrease. Building a causal classification system of work delay and deducing the managemental item for it gives a great competition to the construction industry. It is, however, so rare to study about work delay so far. Therefore, this research analyzed a questionnaire, which is focussing on the public apartment construction, to look into the causal root factors and deduce the work delay factors. Finally, we suggest a major managing point to remove effectively the work delay factors.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.5
• /
• pp.766-776
• /
• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.18 no.8
• /
• pp.823-831
• /
• 2008

Since it needs the light computational load and small database, sound source localization method using time delay of arrival(TDOA method) is applied at many research fields such as a robot auditory system, teleconferencing and so on. Researches for time delay estimation, which is the most important thing of TDOA method, had been studied broadly. However studies about factors for time delay estimation are insufficient, especially in case of real environment application. In 1997, Brandstein and Silverman announced that performance of time delay estimation deteriorates as reverberant time of room increases. Even though reverberant time of room is same, performance of estimation is different as the specific part of signals. In order to know that reason, we studied and analyzed the factors for time delay estimation using speech signal and room impulse response. In result, we can know that performance of time delay estimation is changed by different R/D ratio and signal characteristics in spite of same reverberant time. Also, we define the performance index(PI) to show a similar tendency to R/D ratio, and propose the method to improve the performance of time delay estimation with PI.

• Korean Journal of Construction Engineering and Management
• /
• v.8 no.6
• /
• pp.159-166
• /
• 2007

Work delay is one of the facts that make the reliability of construction projects decrease. Therefore, it is important to classify and prioritize the delay factors. This research analyzed key delay factors in apartment house construction through survey. The results of analysis are as follows. (1) Insufficient work force is the key delay factor in structural and finish work. (2) Improper craft of worker is the key delay factor in electrical work. (3) Incompletion of proceeding work is the key delay factor in mechanical work.

• Journal of Advanced Navigation Technology
• /
• v.25 no.5
• /
• pp.320-326
• /
• 2021

In airlines, on-time performance (OTP) is a measure of an airline's reliability and can be used as an important indicator when compared to other airlines. This study analyzed the effects and strength of delay factors on airline punctuality by analyzing the data of domestic K airlines for one year before and after March 2020, when the number of flights drastically decreased due to the corona virus. In addition, delays caused by seasonal weather effects were analyzed, and how the number of passengers who plummeted due to the corona situation had an effect on delay factors was studied. As for the delay factors, the delay codes of K airline which added its own codes to the delay codes of IATA, were applied. Based on the results of the analysis, we would like to suggest a method to minimize the delay.

• Journal of the Korea Institute of Building Construction
• /
• v.12 no.6
• /
• pp.636-647
• /
• 2012

Construction projects have become so large, complicated and incredibly high-tech that process management is currently considered one of the most important issues. Unlike typical manufacturing industries, most major construction activities are performed in the open air and thus are exposed to various environmental factors. Many studies have been conducted with the goal of establishing efficient techniques and tools for overcoming these limitations. Productivity analysis and prediction, one of the related research subjects, must be considered when evaluating approaches to reducing construction duration and costs. The aim of this research is to present a quantified impact analysis of construction delay factors on construction productivity of a steel staircase system, which has been widely applied to high rise building construction. It is also expected to improve the process by managing the factors, ultimately achieving an improvement in construction productivity. To achieve the research objectives, this paper analyzed different delay factors affecting construction duration by means of multiple regression analysis focusing on steel staircase systems, which have critical effects on the preceding and subsequent processes in structure construction. Statistical analysis on the multiple linear regression model indicated that the environment, labor and material delay factors were statistically significant, with 0.293, 0.491, and 0.203 as the respective quantified impacts on productivity.

• The Journal of the Korea Contents Association
• /
• v.14 no.7
• /
• pp.407-426
• /
• 2014

This study analyzed the effects of situational factors and perceived uncertainty on purchase delay behaviors of internet consumers. The survey was conducted from internet consumers in the Seoul Metropolitan areas, and 394 responses were used in the data analysis. The results of this study were as follows. First, the negative experience and avoid regrets of the situational factors had a positive impact on overall purchase delay. The time pressure, changeability about purchase, negative experience and avoid regrets had a positive impact on payment stage delay. Also, the time pressure, negative experience and avoid regrets had a positive impact on shopping cart abandonment. Second, all factors of perceived uncertainty had a positive impact on overall purchase delay and payment stage delay. In addition, the information uncertainty and psychological uncertainty had a positive impact on shopping cart abandonment. Therefore, this study is contributing to the diversification of internet study, and it is provide useful information on the customer management and marketing strategy of internet shopping malls.

• Knowledge Management Research
• /
• v.22 no.1
• /
• pp.1-19
• /
• 2021

Large-scaled hospital information system projects are often delayed than originally planned. Regarding project management, it is necessary to examine main factors triggering the schedule delay and to analyze the causality of such delay. This study tries to find the delay factors and causal relationship between them based on the case of the hospital information system development project by using the grounded theory method. It turned out that 'unrealistic scheduling' affects overall schedule delays like domino phenomenon, and 'poor analysis of existing systems' leads to poor quality of work analysis while 'poor subsystem integrated interface' triggers poor design quality. This study found out the factors affecting the delay of a project, analyzing cause-and-effect relationships between them in the academic side. From the practical view, it shows a solution to minimize delays in the project schedule for each of SI companies, hospitals and project managers.