• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.372-378
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• 2015

In labor-intensive enterprise, such as garment factory, assembly line is widely used as a manufacturing process for reducing costs and production time. However, for the sake of the various working capacity of worker, idle or delay may happen and influence the rear processes. If these unforeseeable delay happened continuously, it may influence the whole manufacturing process and a model, which is called limited-cycle model with multiple periods (LCMwMP), is assumed to evaluate the influence risk. In order to minimize the risk, the assignment of the workers is focused on. In this paper, we deal with an assembly line as LCMwMP model when two kinds of workers exist, whose efficiency is assumed to two different groups. We consider an optimization problem for finding an assignment of workers to the line that minimizes total expected risk, which is exchanged to expected cost by reset model of LCMwMP. First, reset model as a simple model of LCMwMP is introduced. Then, some hypotheses of the rules of the optimal worker assignment are proposed and some numerical experiments are researched assuming the processing time as Erlang distribution. Finally, the other rules on other certain conditions are discussed.

• Journal of the Korea Safety Management & Science
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• v.26 no.1
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• pp.45-53
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• 2024

A Smart factories are systems that enable quick response to customer demands, reduce defect rates, and maximize productivity. They have evolved from manual labor-intensive processes to automation and now to cyber-physical systems with the help of information and communication technology. However, many small and medium-sized enterprises (SMEs) are still unable to implement even the initial stages of smart factories due to various environmental and economic constraints. Additionally, there is a lack of awareness and understanding of the concept of smart factories. To address this issue, the Cooperation-based Smart Factory Construction Support Project was launched. This project is a differentiated support project that provides customized programs based on the size and level of the company. Research has been conducted to analyze the impact of this project on participating and non-participating companies. The study aims to determine the effectiveness of the support policy and suggest efficient measures for improvement. Furthermore, the research aims to provide direction for future support projects to enhance the manufacturing competitiveness of SMEs. Ultimately, the goal is to improve the overall manufacturing industry and drive innovation.

• Korea Trade Review
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• v.41 no.5
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• pp.353-371
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• 2016

The purpose of this paper is to examine the structural change of Korean manufacturing industries and the differences of total factor productivity(TFP) between exporting industries and import substituting industries in Korean manufacturing industry from 1980 to 2013. The empirical results show that over half of total 13 industries have experienced changes of direction from import to export or export to import, which implies that there was a considerable structural change in Korean manufacturing industry. The output growth rates are higher in exporting industries than in import substituting industries. All industries employ more capital than labor during the period, which means that production methodology in Korean industries changes to a more capital intensive one. Finally, the growth rate of total factor productivity is higher in exporting industries than in import substituting industries, and it is also proved in panel regression analysis.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.2
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• pp.5-22
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• 2000

Manufacturing industry in Chonbuk region has experienced relatively consistent increase during period 1975-1999. The importance of labor-intensive sectors such as textiles and clothing, wood and furniture, and food and drink, which had been traditionally major sectors in this region, has declined over the same period. On the other hand, the shares of more complex sectors like automobile, chemistry, communication equipment, and other machinery have gone up. The structural change of Chonbuk manufacturing industry, with increasing diversity, follows the national trend of industrial development, based on national industrial policies. but the speed and level of the change has been slow and low in terms of the national standard of manufacturing development, especially with the weak development of high technology industry. In Chonbuk, the spatial distribution of manufacturing industry has shown a high degree of concentration. Although spatial concentration is apparent in the central area including the cities of Chonju, Iksan, and Kunsan, new tendency towards industrial decentralization within this area has been found. The tendency means manufacturing development at the fringe of this area. There is another tendency towards industrial dispersion into the cities of Kimje and Jeongup close to this central area. The spatial dispersion of manufacturing industry has been accelerated in the form of increasing external investment. But despite the tendency of the spatial dispersion, the development of manufacturing industry in the rest of the region still remains a marked inferiority.

• Journal of Biosystems Engineering
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• v.30 no.2 s.109
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• pp.81-88
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• 2005

Manual transplanting Chinese cabbage needs 184 hours per ha in Korea. Mechanization of Chinese cabbage transplanting operation has been highly required because it needs highly intensive labor during peak season. This study was conducted to developed walking-type Chinese cabbage transplanter. In order to find out design factor of the transplanter, a kinematic analysis software, RecurDyn, was used. The prototype was tested in the circular soil bin and its operating motion was captured and analyzed using high speed camera system. Prototype was one row type which utilized original parts of engine, transmission and etc. from walking-type rice transplanter in order to save the manufacturing cost. Success ratio of pick-up device of hole-pin type and latch type were $96.0\%$ and $99.2\%$, respectively. which was highly affected by feeding accuracy of feeding device of seedling. Transplanting device of the prototype produced a elliptic loci which were coincident with those produced by the computer simulation. Prototype proved good performance in transplanting with mulching and without mulching operation, either. Working performance of prototype was 22 hours per ha and operation cost of the prototype was 961,757 won per ha. So, it would reduce $88\%$ of the labor and $29\%$ of operation cost.

• Journal of the Ergonomics Society of Korea
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• v.25 no.3
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• pp.97-103
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• 2006

Severities of musculoskeletal diseases (MSDs) have been recognized at the regular work such as manufacturing but incidence of MSDs are increasing also at the atypical work. The examples of those are health medical workers, office workers and service workers etc. Nurses among health medical workers are accomplishing to manage and recover the patients' health in the first place. Therefore, they are exposed to very stressful work conditions during caring the patients. This study was performed to analyze the musculoskeletal burdened work among nurses at a university hospital, in order to grasp the realities of the MSDs, analyze and prevent MSDs. We surveyed risk factors for ward, intensive care unit, delivery room, newborn room, operation room, function test room and central supply room at a university hospital in Seoul. It was executed for 2 months as the field study that was composed of simulation, real measurement, work motion assessment and subjective assessment. And the results were analyzed into ergonomics techniques. Works according to the criteria of musculoskeletal burdened work by the Ministry of Labor were scrub in operation room and heart ultrasonic function test. And a lot of works that need attention and management were also detected. So it should be required the education and systematic managements of MSDs for nurses.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.177-181
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• 2007

The construction industry is still more labor-intensive than other manufacturing industries. Because of that, it is recognize as a 3D industry. So, many researches to solve it increase to apply robots as to construction sites. Robots are recognized to alleviate the problem of construction industry as the alternative. Therefore in this study, automatic construction system for high-rise building based on robots is developed with high profit as a better research than Japanese it which have gone in advance of robot technology in the world.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.1
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• pp.1-8
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• 2024

Robotic arms have been widely utilized in various labor-intensive industries such as manufacturing, agriculture, and food services, contributing to increasing productivity. In the development of industrial robotic arms, camera sensors have many advantages due to their cost-effectiveness and small sizes. However, estimating object positions is a challenging problem, and it critically affects to the robustness of object manipulation functions. This paper proposes a method for estimating the 3D positions of objects, and it is applied to a pick-and-place task. A deep learning model is utilized to detect 2D bounding boxes in the image plane, and the pinhole camera model is employed to compute the object positions. To improve the robustness of measuring the 3D positions of objects, we analyze the effect of lens distortion and introduce a false positive filtering process. Experiments were conducted on a real-world scenario for moving medicine bottles by using a camera-based manipulator. Experimental results demonstrated that the distortion removal and false positive filtering are effective to improve the position estimation precision and the manipulation success rate.

• Environmental and Resource Economics Review
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• v.24 no.2
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• pp.411-433
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• 2015

This paper decomposed energy productivity changes across 14 Korean manufacturing industries into 5 components, technological catch-up(EC), technological progress(TC), and changes in labor-energy ratio(LC), capital-energy ratio(KC) and energy mix(EMC). Then we also figured out the possible relationship between energy productivity change and export growth rate across the industries. It is found that (1) technological progress, changes in capital-energy ratio and energy mix contribute to energy productivity growth in Korea during the sample period, (2) technological progress is the primary driving forces for energy productivity growth, (3) increase in export growth rate had a positive impact on energy productivity growth excepting a part of energy-intensive industries.

• Journal of Appropriate Technology
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• v.5 no.2
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• pp.70-81
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• 2019

The garment industry is one of the most labor-intensive manufacturing industries, with its sewing process relying almost entirely on manual labor. Its costs highly depend on the efficiency of this production line and thus is crucial to determine the production rate in real-time for line balancing. However, current production tracking methods are costly and make it difficult for many Small and Medium-sized Enterprises (SMEs) to implement them. As a result, their reliance on manual counting of finished products is both time consuming and prone to error, leading to high manufacturing costs and inefficiencies. In this paper, a production tracking system that uses the sewing machines' energy consumption data to track and count the total number of sewing tasks completed through Convolutional Neural Network (CNN) classifiers is proposed. This system was tested on two target sewing tasks, with a resulting maximum classification accuracy of 98.6%; all sewing tasks were detected. In the developing countries, the garment sewing industry is a very important industry, but the use of a lot of capital is very limited, such as applying expensive high technology to solve the above problem. Applied with the appropriate technology, this system is expected to be of great help to the garment industry in developing countries.