• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.179-187
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• 2010

The purpose of this study is to suggest the advancement of the competitive power of Korean electronics and automobile industries from a product-architectural point of view. There are two types for the characteristics of parts. They are the modular type and the integral type. The former is very independent between one subsystem and another, whereas the other is very dependent. The distinction of product architecture makes them different for the ability to organize developing products suited for the product manufacturing. The organizing ability is generally divided into the abilities of 'modulation integration' and 'selection assembly'. For the integral products such as cars, the integration ability is important between an enterprise and another, as well as between a part and another. However, the modular products such as a PC need the ability to select and effectively organize optimal parts or enterprises. The strategy raising product competitiveness is pursued by synthesizing 'design manufactu-turing strategy' for the product architecture and 'customer value strategy' for the customer values.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.485-494
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• 2020

The study aims to identify and measure factors affecting the salaries of employees in manufacturing enterprises in Hanoi, the important area of Vietnam's economy. We conducted a questionnaire consisting of 31 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". Based on the literature review and results of interviews, a total of 350 questionnaires were sent to participants; 300 of them met the standards and were subject to be analyzed. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identify six main determinants influencing the salaries of employees in manufacturing enterprises in Hanoi, including Paying views of business leaders (PV), Financial ability of the enterprise (FA), Capacity of workers (CW), Capacity of the contingent of employees engaged in salary work (CC), Role of grassroots trade unions (TU), and State policies and laws on labor - salaries (STL). Based on the findings, some recommendations have been proposed to help the firm leaders design appropriate personnel policies for creating better job satisfactions for employees in the future. On this basis, the authors propose a number of recommendations to improve the salaries of employees in manufacturing enterprises in Hanoi.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.5
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• pp.614-621
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• 1999

In this paper, the analytical appproaches are presented for jointly determining the profit-miximizing configuration of the fault-tolerance real time modular cell manufacturing system. The transient(time-dependent) analysis of Markovian models is firstly applied to modular cell manufacturing system from a performability viewpoint whose modeling advantage lies in its ability to express the performance that truly matters - the user's perception of it - as well as various performance measures compositely in the context of application. The modular cells are modeled with hybrid decomposition method and then availability measures such as instantaneous availability, interval availability, expected cumulative operational time are evaluated as special cases of performability. In addition to this evaluation, sensitivity analysis of the entire manufacturing system as well as each machining cell is performed, from which the time of a major repair policy and the optimal configuration among the alternative configurations of the system can be determined. Secondly, the recovery policies from the machine failures by computing the minimal number of redundant machines and also from the task failures by computing the minimum number of tasks equipped with detection schemes of task failure and reworked upon failure detection, to meet the timing requirements are optimized. Some numerical examples are presented to demonstrate the effectiveness of the work.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.13-20
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• 2009

The purpose of this paper is to give information on e-CPC implementation in the manufacturing industry by studying and analyzing a small and medium sized manufacturing company. After analyzing Various factors on J's e-CPC implementation such as environmental factors, process management factor, and result factors, success factors on J's e-CPC implementation are analyzed. The results of this paper can be summarized as follows. First, the most leading role on J's ERP implementation is the will and support of CEO and team leaders. They led the implementation to be stability successfully by settling the different opinions among teams, showing their ability on process decision and communication with consultants. Second, J tried to prompt system stability by mapping out and conducting the long term change management strategy. Third, J organized ERP project team to implement ERP quickly, and it turned out to be successful Finally, J tried to get outside information from consultants and collaborative companies that have experience in implementing ERP. Especially J made full use of overseas consultants. In respect that this paper giver lots of information on e-CPC implementation in manufacturing industry by a case study of a small and medium sized manufacturing company which has not been carried out so far, it would be useful enough.

• Journal of the Korean Society of Safety
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• v.29 no.4
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• pp.168-171
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• 2014

The job stress is rising as a social issue in all industries. So many manufacturing companies have been trying to prevent the job stress. Recently, the job stress is the important cause which lead to WMSDs, depressive disorder, anxiety disorder and sleep disturbance. However, the cause of the job stress is very variety. So management is very difficult. The purpose of this study is to investigate the group of the job stress by Karasek model from workers in auto part manufacturing company. The survey was using Karasek job stress model and was administered to 181 workers of auto part manufacturing company. Job demand median and job decision median was in 30.0 and 50.0. From this study, following results were obtained. 1) The gender of workers according to the groups of job stress was statistically significant(p<0.05). 2) The duration of working of workers according to the groups of job stress was statistically significant(p<0.05). 3) The intensity of work of workers according to the groups of job stress was statistically significant(p<0.01). The result of this study will help to identify the group of job stress and improve personal coping ability, systematic measure of company.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1516-1529
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• 2016

While global manufacturing is becoming more competitive due to variety of customer demand, increase in production cost and uncertainty in resource availability, the future ability of manufacturing industries depends upon the implementation of Smart Factory. With the convergence of new information and communication technology, Smart Factory enables manufacturers to respond quickly to customer demand and minimize resource usage while maximizing productivity performance. This paper presents the development of a big data analytics platform architecture for Smart Factory. As this platform represents a conceptual software structure needed to implement data-driven decision-making mechanism in shop floors, it enables the creation and use of diagnosis, prediction and optimization models through the use of data analytics and big data. The completion of implementing the platform will help manufacturers: 1) acquire an advanced technology towards manufacturing intelligence, 2) implement a cost-effective analytics environment through the use of standardized data interfaces and open-source solutions, 3) obtain a technical reference for time-efficiently implementing an analytics modeling environment, and 4) eventually improve productivity performance in manufacturing systems. This paper also presents a technical architecture for big data infrastructure, which we are implementing, and a case study to demonstrate energy-predictive analytics in a machine tool system.

• Journal of Technologic Dentistry
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• v.45 no.1
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• pp.21-29
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• 2023

Purpose: This study attempted to collect basic data to improve the basic repair ability of university freshmen in a world where the usage of advanced medical devices related to computer programs is now common. Methods: The collected data from 280 university freshmen enrolled in nursing, dental, and health degrees or computer and engineering degrees at K university of Gangwon-do were analyzed using the t-test, ANOVA, correlation analysis, and linear regression analysis using the IBM SPSS Statistics ver. 21.0 (IBM). Results: The mathematical learning status and the detailed factors of basic mathematical ability had a positive (+) correlation. The factors of basic mathematical ability, psychology of learning (p<0.001), method of learning (p<0.001), and propensity to learn (p<0.05) were found to be statistically significant, and the model's explanatory power was 40.0%. Conclusion: As a result of this study and considering that advanced medical devices such as computer-aided design/computer-aided manufacturing and three-dimensional printers are becoming more common and up-to-date in clinical settings, it is determined that nursing and dental health students require education to improve their repair skills.

• Korean Journal of Construction Engineering and Management
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• v.23 no.6
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• pp.119-124
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• 2022

Recently a method of constructing architectural products using additive manufacturing technology has been proposed. The additive manufacturing technology automates the construction process and it can secure the safety of workers. In addition, due to the high implementation efficiency of atypical shapes, the applicability to the manufacturing process of buildings and infrastructure is drawing attention. Additive manufacturing technology has the ability of satisfying computer-based construction automation, resource management and construction period prediction which is required in the modern construction industry. However, the industrial application is still limited by insufficient data, standards, regulations, and operating methods. In this study, in order to analyze the applicability of architectural additive manufacturing technology, we manufacture each architectural product with two additive manufacturing systems. In addition, we apply an application of each building product into an appropriate manufacturing system through the AM production decision model. And identify problems in the manufacturing process through empirical experiments. As a result, we propose an extended additive production decision model to improve the quality of building products.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.264-269
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• 2005

Advances in sensors, actuators, and computers and developments In information systems offer unprecedented opportunities to implement highly ambitious automation, control and decision strategies. There are also new challenges and demands for control and automation in modern industrial practices. There is a growing need for an active participation from the information systems in industrial, manufacturing and process industry environments because currently there are many control problems. This paper provides pattern recognition to the monitoring system for solvent manufacturing process and shows performance in real-time response with multiple input signals. Data is teamed by a multilayer feedforward network trained by error-backpropagation. The two kinds of test results show that the trained network has the ability to show the current system status with different input data sets.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.506-511
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• 1996

The performance evaluation of flexible manufacturing systems or cells at the stages of design and planning is one of important issues in manufacturing. For that reason, Guo has presented an approachbased on moment generating function and generalized stochastic PetriNets for performance analysis. In this paper, Buo's approach is extended tothe cases of flexible manufacturing cell including one machining center with a local buffer, AS/RS(Automatic Storage and Retrieval System), set-up station and AGV(Automated Guided Vehicle). Then the performance measures from this approach is compared with simulation. The major advantage ofthis method over existing performance evaluation methods is the ability to compute analytic solutions for performance measures.