• Journal of Labour Economics
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• v.31 no.1
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• pp.105-133
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• 2008

Focusing market failure and state intervention, this article analyzes the determinants of corporate training in Korea. Analysing the first wave of HCCP(Human Capital Corporate Panel) data produced by KRIVET(Korea Research Institute for Vocational Education and Training), this article finds that even though the skills attainead in corporate in Korea are mostly general(industry-specific), but the market failure in training appears rather small and is confined to the manufacturing industry. And the state intervention in corporate training works only at manufacturing industry, it does not work at new service industry. The results mean that in new service industry, it is difficult to find out the existence of market failure in training due to the positive externalities. Therefore Korea government should look thoroughly into the state intervention in training in new service industry.

• Industrial Engineering and Management Systems
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• v.12 no.4
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• pp.306-316
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• 2013

The semiconductor industry has grown rapidly, and subsequently production planning problems have raised many important research issues. The reentrant flow-shop (RFS) scheduling problem with time windows constraint for harddisk devices (HDD) manufacturing is one such problem of the expanded semiconductor industry. The RFS scheduling problem with the objective of minimizing the makespan of jobs is considered. Meeting this objective is directly related to maximizing the system throughput which is the most important of HDD industry requirements. Moreover, most manufacturing systems have to handle the quality of semiconductor material. The time windows constraint in the manufacturing system must then be considered. In this paper, we propose a hybrid genetic algorithm (HGA) for improving chromosomes/offspring by checking and repairing time window constraint and improving offspring by left-shift routines as a local search algorithm to solve effectively the RFS scheduling problem with time windows constraint. Numerical experiments on several problems show that the proposed HGA approach has higher search capability to improve quality of solutions.

• Industrial Engineering and Management Systems
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• v.4 no.2
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• pp.145-157
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• 2005

There are a lot of raw materials, work-in-processes and finished goods in manufacturing industry. Here, the less stock of materials and work-in-processes manufacturing industry has, the worse the rate of the production is. Inversely, the more manufacturing industry has, the more expensive the cost to support them is. Thus, it is important for us to balance them efficiently. In general, inventory problems are to decide appropriate times to produce goods and to determine appropriate quantities of goods. Therefore, inventory problems require as more useful information as possible. For example, there are demand, lead time, ordering point and so on. In this paper, we deal with an optimal ordering policy on both way substitutable two-commodity inventory control system. That is, there is a problem of how to allocate the produced two kinds of goods in a factory to m areas so as to minimize the total expected inventory cost. The demand of each area is probabilistic, and we adopt the exponential distribution as a probability density function of demand. Moreover, we provide numerical examples of the problem.

• Korean Journal of Computational Design and Engineering
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• v.13 no.1
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• pp.67-75
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• 2008

In spite of rapidly increasing interests in digital manufacturing, there still lacks of a systematic approach in manufacturing line flow analysis via modeling and simulation; currently, the parameters for designing manufacturing line are defined by being solely based on engineers experiences. The paper proposes an application of the genetic algorithm to a discrete event line simulation finding optimal set of parameters for manufacturing line balancing problem. The proposed method has been applied to two example problems-one is a simple manufacturing model and the other for shipyard industry-in order to demonstrate its validity and usefulness.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.601-610
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• 2017

Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.582-604
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• 2013

The machinery industry provides infrastructure to many manufacturing industries and it has strong influences on performance and quality of products. However, Korean economic growth has been constantly causing the korean general machinery industry to significantly depend on Japan. To solve this problem, many industrial policies have been tried. In this paper, we divide the value chain of general machinery industry into four steps; technology development step, manufacturing step, marketing step, and after-sales management step. We study the relationships between each of these steps and the awareness of dependency on Japan. For empirical analysis we surveyed 207 domestic companies in general machinery industry. The findings are that the three factors, technology development competency, marketing competency and after-sales management competency have significant relationships with dependence on Japan. Manufacturing competency is not a significant factor. As control variables, the type of manufacturers has effect on dependency on Japan. The company size, the kinds of products and technology levels of products don't have effects on the relationship between the four steps of the value chain and dependency on Japan. To overcome the trade imbalance with Japan in the general machinery industry, we recommend to develop technology development competency, marketing competency, and after-sale management competency. Also we need to adopt industry supporting policies, not depending on all three control variables of company sizes, the kinds of products and the technology levels of products, but depending on the type of manufacturers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.69-71
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• 2018

Looking at Korea's manufacturing industry, there are many old manufacturing plants. In fact, the manufacturing process of the product inventory management and the unit price of the product are all created by using Excel, and the factory is operated by using it. Also, the operator can not predict the failure of the equipment in order to produce the product at work. Problems related to this may result in the loss of the documents during the instruction and work process between the manager and the worker, and the communication between the manager and the worker can not be properly performed, There is appear a situation in which the operation is continued by using the equipment without recognizing in the failure. In this paper, we propose a method for upgrading the aging manufacturing plant to improve the productivity and productivity of the product by predicting the efficient inventory management, unit price management, production volume, and the operator's failure prediction.

• Journal of the Korean Geographical Society
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• v.11
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• pp.27-46
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• 1975

• Journal of the Korean Professional Engineers Association
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• v.19 no.2
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• pp.53-59
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• 1986

• Journal of the Korean Professional Engineers Association
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• v.36 no.3
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• pp.57-59
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• 2003