• Journal of the Korean Regional Science Association
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• v.10 no.1
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• pp.19-37
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• 1994

The past studies on the change of industrial location can be reinterpreted as spatial determinism, decision making process determinism and industrial sturcure determinism according to the view of the mutual operation between the economic activity and spatial structure. From the point of the industrial structure determinism which focuses on the fact that the locational type of production activity can be differenciated by the structural change of industry itself, it is proper to explain the change of industrial location not only by spatial condition but also by containing the fundamental changing causes for the reorganization of the spatial condition. One of the most important changing causes for reorganizing economic space is industrial technology. This study aims to explain the spatialization process of industrial technology and consists of the process of suggesting the hypothesis that the spatialization process is differentiated according to the production organization as the user of industrial technology and the user of industrial technology and the production system as using method. In other words, this study attempts to internalize the technology variable, which has been treated as external in the past studies on the industrial location, as an independent one and consider the production organization and production system as a paramenter, so that it can represent 'conceptual framework' for explaining the change of industrial location.

• Clean Technology
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• v.9 no.3
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• pp.145-151
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• 2003

This study shows the evaluation and consulting for pollution prevention of dye production by cleaner production methodology. Especially, this study intended to investigate the methods for reduction of process water and recovery of organic solvent (DMF), and to modify the process for higher qualified products in the acid dye production by cleaner production methodology. This methodology, consisting of 7 sequential phases (business leadership decision to start, problem definition, evaluation of the screened options, option selection for implementation, implementation, monitoring and sustainable implementation), is based on initial developments in the USA and Western Europe. Reduction of process water over 25%, recovery of DMF and solubility enhancement of acid dye over 2 times were achieved.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.401-412
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• 2015

In this paper, we present a modeling approach to production planning for an actual production line and a heuristic method. We also illustrate the successful implementation of the proposed method on the production line. A heuristic algorithm called the push-back algorithm was designed for a single machine earliness/tardiness production planning with distinct due date. It was developed by combining a minimum slack time rule and shortest processing time rule with a push-back procedure. The results of a numerical experiment on the heuristic's performance are presented in comparison with the results of IBM ILOG CPLEX. The proposed algorithm was applied to an actual case of production planning at Woongjin Chemical, a leading manufacturer of filter products in South Korea. The seven-month execution of our algorithm led to a 24.5% decrease in the company's inventory level, thus demonstrating its practicality and effectiveness.

• IE interfaces
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• v.18 no.1
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• pp.35-43
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• 2005

A production system in domestic shoes companies has difficulty in achieving automation and information because of insufficiency of flexibility and standardization. Particularly small and medium sized shoes companies producing by OEM have tendency to chase the given production schedule blindly without considering major factors that may affect the production. Therefore, the production schedules or the process conditions can not be optimally set and are extemporized by the experience in the past. These behaviors cause low productivity and financial loss. To maximize efficiency and productivity of the shoe-making process, we develop a simulation model based on a production system in small and medium sized shoes companies. The model has been developed using ARENA which has been demonstrated to be a powerful tool to simulate various manufacturing systems. Using the simulation model, we find out several problems for the production process, and then suggest several alternatives to improve the system.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.2 no.1
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• pp.44-60
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• 2008

This paper analyses the relative efficiency and competitiveness of production structure for the industrial clusters(Ulsan, Changwon, Kumi, Wonjoo, Banwol & Siwha, Kwangwju, Gunsan) which had allocated in 2004 in Korea by the DEA approaches. The results show that except U1san, Wonjoo, the 5 industrial clusters have improved the relative efficiency in terms of input and output since they were allocated. And, the reason of the inefficiency for the 5 industrial clusters were not for the technical relationship but for the production scaling size. That is, by clustering for the industrial production firms, the economic effect came true throughout the production scaling size effects. Also, by the positioning approach for the production factors such as labor, capital, and R&D investment via production growth, the results show that Banwol & Siwha, Goomi clusters have effectively been managed, but Wonjoo, U1san and Gunsan are not.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.97-103
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• 2006

Recently, the control chart is developed for monitoring processes with normal short production runs by the coefficient of variation(CV) characteristic for a normal distribution. This control chart does not work well in non-normal short production runs. And most of industrial processes are known to follow the non-normal distribution. Therefore, the control chart is required to be developed for monitoring the processes with non-normal short production runs by the CV characteristics for a non-normal distribution. In this paper, we suggest the control chart for monitoring the processes with a gamma short runs by the CV characteristics for a gamma distribution. This control chart is denoted by the gamma CV control chart. Futhermore evaluated the performance of the gamma CV control chart by average run length(ARL).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.149-158
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• 2015

Up-to-date manufacturing companies have faced a market-driven environment of pull production order. There should be a difference in operating manufacturing resources according to the type, quantity, and delivery time of manufactured products, because the process situation in pull production is changed by customer orders. And it should be taken into account from the stage of preparing for production such as process design and the placement and utilization of manufacturing resources. However, the feasibility of production plans is limited because most of small manufacturing businesses make production/supply plan of the parts and products assuming that equipment abilities in scheduling is sufficient without managing process standard information systemically. In this study, a discrete event simulation system based on BOM (bill of material), that is F-OPIS (online productivity innovation system), is introduced and a case study on application of the system leading to improving productivities is presented. F-OPIS deals with a decision-problem on production management and it is specialized for small-and- medium sized manufacturing companies. The target company of this case study is a typical small-and-medium sized manufacturing company in Korea, that produces various machined parts. The target company adopts make-to-stock production management to prevent tardy delivery because of fluctuations in demand. Therefore, it is required to apply an efficient inventory control solution for improving productivities. In this paper, based on the constraints of working capacity of manufacturing resources, the bottleneck process is analyzed as production conditions are changed. Consequently, an improvement plan is proposed, that eventually enhances overall utilization rates of resources in the bottleneck process and reduces overall production lead-time and inventory level.

• Biotechnology and Bioprocess Engineering:BBE
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• v.7 no.5
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• pp.252-262
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• 2002

The growing interest in the application of arachidonic acid (ARA) in various fields of health and dietary requirements has elicited much attention on the industrial production of ARA-containing oil by the cultivation of Mortierella fungi. For the industrial production of ARA, various studies, such as isolation of a high-potential strain and optimization of culture conditions, have been conducted. Studies including the investigation of morphology are important because ARA is accumulated in the mycelia, and thus cultivation with high biomass concentration is essential for obtaining a high ARA yield. Combining the results derived from various studies, a high ARA yield was attained in an industrial fermentor. These ARA production techniques are applicable to the production of other polyunsaturated fatty acids (PUFAs), and will contribute to the improvement of fermentation technology especially in the field of fungal cultivation.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.1
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• pp.105-113
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• 1998

This paper deals with a production line which consists of two production stages that are separated by a finite storage buffer. The inventory level in the storage buffer controls the production rate of the preceding stage. That is, the production rate becomes high (low) when the buffer inventory is low (high). We analyze the system characteristics utilizing the Markov process theory and then find an optimal control policy which maximizes a given system profit function. Also, a sensitivity analysis is made to examine the effects of various system parameters on the system performances.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07a
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• pp.539-542
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• 2005

We report how to establish the dynamic index for production control in a pilot fabrication over versatile and diverse production environments. We used dynamic index provided by a simulation model to monitor production performance. When production control is abnormal, the information system prompts administrators to classify these abnormal situations. In addition, the trend over the operation index is continuously reviewed in short-term and long-term. This simulation model is handy at setting goal for a versatile and diverse pilot production fab.