• Journal of Fashion Business
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• v.6 no.5
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• pp.96-111
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• 2002

The aim of this study was to suggest appropriate factors for production pattern making of women's clothing. Sample pattern designers and production patterners of 13 women's brands were individually interviewed about pattern making process and factors necessary. The results were as follows: The factors to be considered in pattern making were categorized in three groups. 1. Factors to be considered to achieve the correct use of specific materials: elasticity, shrinkage, lining and interlining 2. Factors to be considered to satisfy the design specifications: silhouette, dart distribution, collar and sleeve, trimming 3. Factors to be considered for better sewing quality: skillfulness of the sewer, sewing methods and sewing equipment. 4. Suggestions were made for appropriate factors. A focus-group-interview in pattern design has been interviewed to verify the suggested factors. The factors were presented as a guide to develop the production pattern. 5. For better usage of the factors, standardization were suggested for making process with necessary factors for jacket, skirt.

• Journal of Korean Society for Quality Management
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• v.13 no.1
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• pp.41-50
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• 1985

The purpose of this study is to consider the criteria for decision-making of industrial location in view of substituting production factors through maximizing profit instead of minimizing transportation cost. This paper makes use of mutual relationship between spatial economy in Euclidean distance and substituting production factors in production theory. Therefore, this paper will develop weak points in classical theory of industrial location by introducing production theory which has conception of substituting production factors.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.11-20
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• 2003

The purpose of this study is : first, to examine factors of fashion show planning and production and to classify types of fashion show planning and production: second, to compare and analyze the factors through a case analysis to defined their differences. For the purpose, data are collected to compare and analyze from literature as well as the interview with fashion show planning and production companies in Korea. The result shows that all the factors are considered on a practical level except security and publicity among 15 factors presented in literature : the purpose of the show, target spectators, product selection, product prices, type of show, size, location, models, time of show, duration, theme, security, budget, and publicity. Show types are divided into national brands, designer brands, imported brands, and collections. The result of the comparison and analysis of the factors of the planning and production by type shows that factors vary greatly depending on the purpose of the show, target spectators, and form of the show and products. By analyzing the case study on fashion show planning and production on a practical level, the study recognizing the need of specialized development of fashion show planning in Korea's fashion industry, is a basic process of theory systematization for the planning and production in its marketing aspects, and will provide relevant theories in such aspects for those who want to enter into the field.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.93-100
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• 2004

For accurate construction contract time estimation, few parameters are more significant than crew production rates and factors affecting the rates. However, statistical analysis techniques for finding such factors are not always simple mainly because there are many factors and the interaction between factors is not well quantitatively understood. This paper presents methodology of identifying factors driving crew production rates. The methodology is further demonstrated with representative data collected by the author from 13 on-going highway constructions. Three factors were identified as statistically significant drivers of Cap crew production rate: 'Cap Size (m3/ea)'; 'Cap Length (m)'; and 'Cap Shape (Rectangle vs. Inverted 'T')'. It was also found that the production rates are best explained by a multiple regression model with two of the drivers; 'Cap Size' and 'Cap Shape'.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.253-254
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• 2023

The production plan of Precast Concrete members is closely related to the assembly plan of Precast Concrete members, and is an important management factor for the process planning of Precast Concrete construction. This may cause a delay in the construction period due to manufacturing errors occurring in the production process of members and transportation errors according to the production sequence. Therefore, it is necessary to have an efficient production plan for Precast Concrete members that can produce the necessary quantity from the point of assembly of the members and supply them in a timely manner. This study is a basic study for establishing a production plan for Precast Concrete members, and the purpose of the study is to examine the factors that affect the establishment of a production plan for Precast Concrete members. In this study, the influencing factors according to the production method and conditions when establishing a production plan for Precast Concrete members were considered. In the future, correlation analysis among influencing factors will be carried out, and it is expected that it will be used as basic data for schedule management of Precast Concrete construction and derivation of construction period calculation standards.

• Smart Media Journal
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• v.12 no.10
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• pp.29-37
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• 2023

Human lifestyle is affected by the agricultural development in the last 12,000 years ago. The development of agriculture is one of the reasons that global population surged. To ensure sufficient food production for supporting human life, pesticides as a more effective and economical tools, are extensively used to enhance the yield quality and boost crop production. This study investigated the factors that affect crop production and whether the factors of pesticide usage are the most important factors in crop production using the dataset from Kaggle that provides information based on crops harvested by various farmers. Logistic regression is used to investigate the relationship between various factors and crop production. However, the logistic regression is unable to deal with predictors that are related to each other and identifying the greatest impact factor. Therefore, causal discovery is applied to address the above limitations. The result of causal discovery showed that crop condition is greatly impacted by the estimated insects count, where estimated insects count is affected by the factors of pesticide usage. This study enhances our understanding of the influence of pesticide usage on crop production and contributes to the progress of agricultural practices.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.121-122
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• 2015

The demand on free-form buildings is gradually increasing, but there are several problems such as increased cost and construction duration, and decreased constructability at the construction phase upon construction of a building owing to the difficulty of member production-installation. To solve these problems, a technology to produce FCP using a CNC machine was developed. Basically, it delivers the information on a free-form building designed to the CNC machine, the shapes of RTM and PCM are created using the information delivered and FCP are produced with the RTM and PCM which act as forms. Since the construction duration and project cost are limited on site, the efficiency of FCP production-installation is significant for application of the technology. For it is almost impossible to change the production-installation layout and process once they are set in the construction phase, they should be carefully determined. Before the production-installation layout are established, it is necessary to analyze the factors that influence the duration. Thus, the study intends to analyze influence factors in PCM mold on estimation of the production-installation duration for FCP. According to the analysis of influence factors, a simulation model for estimation of the duration that changes depending on the constraint conditions can be built.

• The Journal of Fisheries Business Administration
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• v.44 no.3
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• pp.77-84
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• 2013

While some steps in laver aquaculture production can be controlled artificially to a certain extent, the culturing process is largely affected by natural factors, such as the characteristics of seawater, climatic and oceanographic conditions, etc. This study aims to find a direct relationship between climatic and oceanographic factors (water temperature, air temperature, salinity, rainfall, sunshine duration and wind speed) and laver aquaculture production in Wando region, the biggest aquaculture production area of laver, located in the southwest coast of Korea using a multiple regression analysis. Despite the small sample size of a dependent variable, the goodness of model fit appeared acceptable. In addition, the R-squared value was 0.951, which means that the variables were very explanatory. Model results indicated that duration of sunshine, temperature, and rainfall during the farming period from the end of September to the end of April would be important factors affecting significantly to the laver aquaculture production.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.9
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• pp.1263-1266
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• 2002

The objective of this study was to evaluate the effects of some production factors on commercial production of Etawah Crossbred Goats (ECG) of Inpres Desa Tertinggal member groups (AKIDT) at Krasak, Pandansari, Brajan, and Kragilan villages in Boyolali regency, Central Java, Indonesia. The study was from February to April 2000. Eighty respondents of AKIDT were selected by simple random sampling and the data were analyzed using Cobb Douglas Production Function. The results showed that ECG production simultaneously were highly significant (p<0.01) influenced by amount of feed consumed (kg TDN/year, $x_1$), number of does of ECG (Animal Unit/year, $x_2$), number of kids and does/ barn/year (Animal Unit/year, $x_3$), labor use (man-days/year, $x_4$) and work capital (US$/year, $x_5$) with $R^2= 0.6568$. In addition, ECG production was partially influenced by $x_2$, $x_3$ and $x_5$ (p<0.01) and $x_1$ (p<0.05), but not significant (p>0.05) by $x_4$. Technically, production factors of $x_1$, $x_2$, $x_3$, $x_4$, $x_5$ had reached technique efficiency (0$x_1$, $x_3$, $x_4$, $x_5$ did not showed efficiency (Ep<1) and $x_2$ was not efficient yet.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.69-76
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• 2021

This study focuses on the relationship between ginseng production per area and meteorological factors. Four areas of major ginseng production are considered in the study. Chungcheongnam-do and Gyengsangbuk-do are selected as the original major production places and Gyeonggi-do and Kangwon-do are selected as the new major places. The meteorological factors applied for study are the average temperature, accumulated precipitation, and integrated sunshine hours. With the data collected across four areas, we used a panel data analysis. From the results of Hausman test, the fixed effects model allowing to control individual area effect is preferable to the random effects model. Based on the results of the fixed effects model, the accumulated precipitation statistically and significantly affect the decreases in ginseng production. Changes in the average temperature negatively affect ginseng production, but the value is not statistically significant. The integrated sunshine positively affect ginseng production, but the value is not statistically significant.