• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.219-221
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• 2022

Seoul Metropolitan City, the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. These manufacturing industries have developed in the form of mutual assistance by forming small business clusters according to detailed industries and processes. Due to the nature of the cluster, logistics between companies for each process in the cluster are being carried out quickly, but it is difficult for relatively small small business owners to prepare order processing services for consumers of finished products. Therefore, it is urgent to introduce an integrated order fulfillment service platform for collective business owners for smooth order and delivery processing. In this paper, we collect and analyze the existing Fulfillment Service data of small business owners in the printing industry among traditional urban industries, and design an artificial intelligence Fulfillment Service Platform system applying CRNN, k-NN, and ID3 Decision Tree algorithm. Through this study, it is expected to greatly contribute to the increase in sales and capacity of small business owners by enabling the use of individual orders and customized delivery services that can be used by any small business owner in the cluster.

• Journal of the Korea Society for Simulation
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• v.20 no.2
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• pp.19-27
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• 2011

This study investigates impact of smoothed replenishment ordering policy on the performance measures such as lead time, order fulfillment ratio, and inventory cost. We consider a two-echelon supply chain: a single retailer orders using smoothed order up to replenishment policy and a manufacturer produces the retailer's orders on a make to order basis. Simulation result confirms that lead time from the manufacturer can be reduced by smoothed ordering policy as expected. However, smoothing orders may deteriorate the customer order fulfillment ratio and inventory cost in a retailer. We also observe that variance of manufacturing time contributes more than mean of manufacturing time to both order fulfillment ratio and inventory cost. Therefore, variability of upstream manufacturing time should be minimized.

• Korean Management Science Review
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• v.21 no.3
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• pp.101-113
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• 2004

In the rapidly propagating Internet based electronic transaction environment. the importance of real time order confirmation has been more emphasized, In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment. mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem, we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks. which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company. we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.67-78
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• 2021

The number of domestic e-commerce transactions has been breaking its own record by an annual average growth rate of over 20% based on volume for the past 5 years. Due to the rapid increase in e-commerce market, retail companies that have difficulty meeting consumers in person are in fierce competition to take the lead in the last mile service, which is the only point of contact with customers. Especially in the delivery area, where competition is most intense, the role of the fulfillment center is very important for service differentiation. It must be capable of fast product preparation ordered by consumers in accordance with the delivery service level. This study focuses on the order picking system for rapid order processing in the fulfillment center as an alternative for companies to gain competitive advantage in the e-commerce market. A mixed integer programming model was developed and implemented to optimize the stock replenishment in order picking facilities. The effectiveness was scientifically and objectively verified by simulation using the actual operation process and data.

• Journal of the Korea Safety Management & Science
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• v.14 no.1
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• pp.129-136
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• 2012

This study proposes a collaboration system framework on the web service in a supply chain to implement an efficient virtual supply chain and improve an ability to fulfill received orders over a supply chain. The system based on the framework proposed in this paper plays an important role for automatic order negotiation and placing/receiving an order noticed in web service by the main system. Furthermore, it can evaluate the fulfillment of received orders over a supply chain by using the transaction results from hierarchically related vendors and establish efficient manufacturing plans. In a word, this system is the automated system for creating manufacturing plans, placing and receiving orders. A little more important main function of this system is that it has a dynamic evaluation capability about fulfillment with received orders over a supply chain, and improves the evaluation method of fulfillment ability with received orders with related to direct dealing vendors, which is a main problem in existing system. As a result, this system is able to reduce the work load of the sales and purchasing materials, production control division, to manage accurate inventory promptly, to maintain the optimal inventory level by analyzing the information of fulfillment ability with received orders, and to enhance the level of service for customers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1447-1452
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• 2022

Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.

• Journal of Technologic Dentistry
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• v.38 no.3
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• pp.225-235
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• 2016

Purpose: The purpose of this study aims to improve self-confidence, satisfaction and self fulfillment of dental technology students through practical skills competitions to meet the levels required by the industry. Method: The questionnaire was composed of 12 general characteristics, 23 self-efficacy, 25 practice satisfaction, 5 self-satisfaction, 12 self fulfillment out of 77 questions. The reliability of the surveys showed Cronbach' ${\alpha}=0.893$ on the self-efficacy, Cronbach' ${\alpha}=0.871$ on the practice satisfaction, Cronbach' ${\alpha}=0.857$ on self-satisfaction and Cronbach' ${\alpha}=0.941$ on self fulfillment. Results: Before and after the test result comparison showed a statistically significant difference for both men and women according to the general characteristics. Women's progress was higher than for men. The thought about dental technicians has changed for the better and showed a statistically significant difference. Subjects who have 3.1~3.5 school record showed the highest score on job skills, self-efficacy, practice satisfaction, self-satisfaction and self fulfillment according to the the general characteristics, and 3.6 ~ 4.0, 3.0 or less and 4.1 ~ 4.5 in order. Conclusion: This study was conducted with dental technology students who participated in practical skills competitions after 10 week 40 hours training in D college, and the results were as follows. Practical training improved the job performance, self-efficacy, practice satisfaction, self-satisfaction and self fulfillment improved significantly.

• International Journal of Human Ecology
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• v.10 no.2
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• pp.25-37
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• 2009

This study investigated differences in related factors affecting life satisfaction with the elderly in or above middle class experiencing successful ageing. In the study, the respondents were 206 elderly people whose occupation (professional career) placed them in the middle and upper class range residing in metropolitan Seoul. Major results are summarized as follows: (1) In order to test gender differences, results of t-test show that there are 13 variables with seven of those being statistically significant and the rest being insignificant. (2) Needs fulfillment and physical functioning are significant factors for Korean male elders to be satisfied with their later lives. Needs fulfillment, physical functioning, group activity, and learning activity are significant factors for Korean female elders to be satisfied with their later lives.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.3
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• pp.210-218
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• 2005

In the current global business environment, it is very important how to allocate products from the producer to buyers (or distributors). Sometimes some buyers can order more than pertinent demand due to inappropriate forecasting customers' orders. This is the big obstacle to the efficient allocation of products. If the producer can become aware of buyers' pertinent demand, it is possible to realize the high-level order fulfillment through the effective allocation of products. In this study, a new allocation policy is proposed considering buyers' demands. The backpropagation algorithm, one of algorithms in neural network theory, is used to find pertinent demands from the distributors' orders. In the experiment, an allocation policy considering buyers' demands outperforms previous allocation policies.

• Korean Journal of Health Education and Promotion
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• v.18 no.1
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• pp.61-78
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• 2001

The purpose of this research was to find out plans to promote the fulfillment of the breast self-examination and breast cancer screening, which is preventive health behavior about women's having breast cancer exam in some part of our country with searching for the primary causes which have an effect on their fulfillment. The subjects of the study were 540 literate volunteers who were of age from 20 to 69 and who visited 8 health centers in Taegu. The survey research was made through questionares in the 8 health centers in Taegu from the 15th to the 30th of September, 1998. Based on Becker's health belief model asking medical staff's opinions with bibliographies, the major findings from the survey was as follow. The fulfillment rate of the breast self-examination and the breast cancer screening was 37.8％(204 subjects), 27.6％ (149 subjects) each. Getting breast self-exam varied significantly depending on subject's age, income of family, religion, occupation and the number of children. As far as the breast cancer screening was concerned, there was remarkably significant difference in accordance with their age, marital status, religion, occupation, income of family, the number of children, ways of nursing and parturition age of the first baby. The subjects in their forties accounted for the highest rate. Based on the fulfillment of the breast self-examination and the breast cancer screening, the average points of all the variables presented from the health belief as well as the points of the susceptibility, seriousness, benefits, knowledge and level of health concern of interest in health were significantly higher than the points of non-fulfillment of them in the statistical analysis whereas the barriers was lower than them. In consequence of the multiple-logistic regression analysis putting the breast self-examination and the breast cancer screening in dependent variables, occupation, knowledge, seriousness, benefits, barriers and cues to action had significant effects on breast self-examination against breast cancer. Looking more attainments, thinking diseases more seriously, feeling more usefulness and there being any patient around with breast cancer led to the higher rate of the breast self-examination against it. On the other hand, feeling more impedition as well as housewives caused the lower rate of it. The breast cancer screening was significantly affected by age, sensitivity, usefulness, impedition and behavior momentum as well. The cases who are older, feeling more sensitivity against breast cancer, more usefulness of the examination and where any patient around, the fulfillment rate was higher. Contrarily the more impedition they felt, the lower the fulfillment rate was. Accordingly, the study of the causes, which have significant effects on the fulfillment of the self-examination and the breast cancer screening in order to find it in an early stage, and the development of health education programs as well as proper education for public health through carrying on campaigns and stepping up public relations must be indispensable.