• Journal of the Society of Naval Architects of Korea
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• v.46 no.3
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• pp.362-371
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• 2009

Shipbuilding is a typical 'build to order' industry. It has a business model that generates revenues from building various ships and offshore products in accordance with owner's requirements at each production stage. Under uncertainty in shipping market, it is very essential for the shipbuilder to prepare the fast and competitive decision for product portfolio strategy in order to maximize contribution margin by exploiting production facilities and constraints. In this study, we introduce the unique decision supporting methodology for the optimal product portfolio sets based on Theory of Constraints(TOC). This methodology is established by adopting the concept of Drum Buffer Rope(DBR) in constraints planning and Throughput Accounting (TA) in management accounting of TOC. In addition, Decision Supporting System(DSS) is implemented. This DSS system provides a throughput estimator with reflecting the cost structure of shipbuilding industry and a resource simulator built on heuristic algorithms to operate major constraint-resources in shipyard such as dock, quay and pre-erection area etc. Several examples are presented to show that the proposed methodology and system can effectively support the strategic decision-making process of a global shipbuilding company.

• Korea Trade Review
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• v.47 no.5
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• pp.241-251
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• 2022

As a 4th industrial revolution technology, robots are changing the form of labor market and trade in Korea. In the future, changes in the international trade order are expected to move in the direction of shortening global supply chains and restricting trade between countries. Accordingly, reshoring of relocating overseas production facilities to Korea or near-shoring of relocating overseas production facilities to neighboring allies may expand. In this context, this study analyzed the impact of robot introduction on the domestic labor market and trade based on firm-level data. As a result of analysis based on the 'business activity data' accumulated from 2017 to 2019, the introduction of robot technology was analyzed to expand low-wage, low-skilled employment. Analysis on trade shows that the introduction of robots decreases exports and increases imports. In order to expand exports through the technology of the 4th industrial revolution, employment expansion and robot introduction should occur at the same time, rather than replacing the labor force with robots. In addition, it is thought that reshoring's goal of risk management can be achieved when a stable supply chain for imports of raw materials or essential goods, which are difficult to transfer to Korea, is established together.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• The Korean Journal of Mycology
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• v.35 no.1
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• pp.37-42
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• 2007

The mushroom Lentinus lepideus was used to produce mycelial as well as soluble polysaccharides in bioreactor cultures. To determine optimal submerged culture conditions, both growth characteristics and water soluble polysaccharides production were compared among four different types of bioreactor and culture conditions. For the production of mycelial biomass, the following bioreactors were proven to be effective in decreasing order: an external-loop type air-lift bioreactor (ETAB; 7g/l), a balloon type air bubble bioreactor (BTBB; 6.2g/l), a stirrer type bioreactor (STB; 6g/l), and a column type air bubble bioreactor (CTBB; 5g/l). Maxiaml production of water soluble exopolysaccharides (EPS; 0.62g/l) and endopolysaccharides (PPS; 7.7%) could also be obtained from BTBB. The mycelial biomass increased with increase in glucose concentration from 15g/l to 75g/l in the media. In contrast, PPS contents in the cells decreased with increase in glucose concentration in the media, showing the highest PPS content (7%) at 15g/l. Among different medium feeding types, fed-batch culture based on concentration control in media (10g/l) produced higher mycelia than fed-batch culture based on volume control of media (5.8g/l) or batch culture (3.4g/l). EPS production was also higher in fed-batch culture based on medium concentration control than that in other feeding types.

• Journal of the Korean Operations Research and Management Science Society
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• v.1 no.1
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• pp.151-170
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• 1976

There are many cases of production processes which intermittently produce several different kinds of products for stock through one set of physical facility. In this case, an important question is what size of production run should be prduced once we do set-up for a product in order to minimize the total cost, that is, the sum of the set-up, carrying, and stock-out costs. This problem is used to be called scheduling of multiple products through a single facility in the production management field. Despite the very common occurrence of this type of production process, no one has yet devised a method for determining the optimal production schedule. The purpose of this study is to develop quantitative analytical models which can be used practically and give us rational production schedules. The study is to show improved models with application to a can-manufacturing plant. In this thesis the economic production quantity (EPQ) model was used as a basic model to develop quantitative analytical models for this scheduling problem and two cases, one with stock-out cost, the other without stock-out cost, were taken into consideration. The first analytical model was developed for the scheduling of products through a single facility. In this model we calculate No, the optimal number of production runs per year, minimizing the total annual cost above all. Next we calculate No$_{i}$ is significantly different from No, some manipulation of the schedule can be made by trial and error in order to try to fit the product into the basic (No schedule either more or less frequently as dictated by) No$_{i}$, But this trial and error schedule is thought of inefficient. The second analytical model was developed by reinterpretation by reinterpretation of the calculating process of the economic production quantity model. In this model we obtained two relationships, one of which is the relationship between optimal number of set-ups for the ith item and optimal total number of set-ups, the other is the relationship between optimal average inventory investment for the ith item and optimal total average inventory investment. From these relationships we can determine how much average inventory investment per year would be required if a rational policy based on m No set-ups per year for m products were followed and, alternatively, how many set-ups per year would be required if a rational policy were followed which required an established total average inventory inventory investment. We also learned the relationship between the number of set-ups and the average inventory investment takes the form of a hyperbola. But, there is no reason to say that the first analytical model is superior to the second analytical model. It can be said that the first model is useful for a basic production schedule. On the other hand, the second model is efficient to get an improved production schedule, in a sense of reducing the total cost. Another merit of the second model is that, unlike the first model where we have to know all the inventory costs for each product, we can obtain an improved production schedule with unknown inventory costs. The application of these quantitative analytical models to PoHang can-manufacturing plants shows this point.int.

• Cartoon and Animation Studies
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• s.12
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• pp.56-72
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• 2007

The purpose of this study is to analyze the characteristics of animation cluster in Chuncheon. It has been over 10 years since Chuncheon was designated as the cluster raising the animation industry. The Chuncheon cluster is trying to differentiate through managing several unique strategies. In order to realize the micro-regionalism, it focuses on co-production not with domestic companies but with foreign companies. Especially, for establishing the whole concrete production pipe-line, it concerns to make co-production contracts dealing with not only for the main production part but also pre- and post-production parts. Based on these production experience, it is building the production complex in the name of ICT convergence cluster. The changed role of the policy-management organization(Gangwon Information & Multimedia Corporation, GIMC) enables these differentiated strategies by itself. The establishment of the Asian Animation Round(AAR) is recognized as the characteristic of macro-regionalism. Starting from the year of 2006, the AAR tries to place Chuncheon as the hub of animation production in Asia and focuses on constructing the network of animation production countries that have developed their production capabilities through sub-contracts. This type of production and market bloc has not been made before.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.3
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• pp.493-502
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• 1999

Majority of livestocks are kept in the tropics. Demand for animal products (meat and milk) is continuously increasing and is related to human population growth. Consequently, potential feeds should be continuously identified particularly on their nutritive values. Crop residues and agricultural by-products are the main feed sources for feeding livestock in the tropics. Their nutritive values ranging from low to medium quality level although Some agricultural by-products such as cotton seed meal and coconut meal are rich in nitrogaen contents. From literatures, nutritive values in these ingredients are mainly based on their chemical composition and to some extent based on limited number of in vivo studies. However, optimum of inclusion in the diet is suggested. Development of tree legumes should be thoroughly considered since they grow well in most tropical regions. In order to improve nutritive value of tropical feeds, biological treatments should be considered. Effect of secondary compounds decreasing efficiency of nutrient utilization in the rumen, to some extent could be reduced by introducing probiotics.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.6
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• pp.339-346
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• 2019

Multi-axis servo systems are widely used in various fields such as industiral systems for improving production efficiency, robotics and complex systems where many mechanical devices and sensor systems are connected. Such a servo system requires that the servo control technique to realize the synchronization of the drive shaft in the steady state and transient conditions and to control so as to follow the target track in order to improve product precision and production efficiency. In addition, embedded type hardware is required for smooth control of the entire multi-axis system. Therefore, this paper uses hardware based on FPGA which is widely used in digital signal processing field and various control system because hardware design change is easy and parallel processing is possible. In addition, Labview based servo motor control program was studied that can control the servo motor by ensuring the performance and flexibility of the FPGA and follow the target trajectory according to various speed processing and accurate timing synchronization.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.1
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• pp.109-141
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• 1998

Many processes in the industrial realm exhibit sstochastic and nonlinear behavior. Consequently, an intelligent system must be able to nonlinear production processes as well as probabilistic phenomena. In order for a knowledge based system to control a manufacturing processes as well as probabilistic phenomena. In order for a knowledge based system to control manufacturing process, an important capability is that of prediction : forecasting the future trajectory of a process as well as the consequences of the control action. This paper examines the robustness of data mining tools under varying levels of noise while predicting nonlinear processes, includinb chaotic behavior. The evaluated models include the perceptron neural network using backpropagation (BPN), the recurrent neural network (RNN) and case based reasoning (CBR). The concepts are crystallized through a case study in predicting a chaotic process in the presence of various patterns of noise.

• Transactions of Materials Processing
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• v.19 no.8
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• pp.523-528
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• 2010

The forging industry is composed of those plants that make parts to order for customers; or make parts for their own company's internal use; or make standard parts for resale. Also, the forging industry is closely related with automobile industry and ship building industry - Korea's major export industry. But, it is hard to find the Korea's forging industry's statistical analysis because it is not revealed with final product. In this paper, we perform statistical analysis using the micro data service provided by the Statistics Korea. We focus on the analysis of production costs as well as the status of forging company and their employee.