• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.121-130
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• 2004

This Study will introduce the concept of CTP(Capable-to-Promise) Algorithm, CTP process, and the modeling of algorithm. This research is based on the environment of using Job-Shop method. CTP algorithm model use LPST(Latest Possible Start Time) and EPST(Earliest Possible Start Time) method especially. It is important part of executing CTP system. The CTP modeling and implementing develops to system which is able to implement in the various business environment through additional and continuous research.

• Proceedings of the Safety Management and Science Conference
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• 2003.11a
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• pp.117-127
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• 2003

This Study will introduce the concept of ATP(Available To Promise) and CTP(Capable to Promise) through the existing study , the process analysis of CTP(Capable to Promise), the modeling of algorithm and the embodiment of system. This research considers the environment of using Job-Shop method. The CTP algorithm models espicially through using LPST(Latest Possible Start Time) and EPST(Earlist Possible Start Time) method. It is important part of executing CTP(Capable to Promise), The CTP(Capable to Promise) modeling and implementing system develops to system which is capable to implement in the various business environment through addational and continuous research.

• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.189-197
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• 2010

Recently, industrial business environments have rapidly changed and face severe competitive challenges. The effective inventory system enables to product and deliver the products quickly for meeting due date of customer's order in this environment. This study have developed a web-based inventory system framework using RFID for a plastic injection molding industry. The system analysis inventory problem issues such as inventory planning, warehouse assignment. In this study, web-based inventory system using Java language is proposed and implemented. As the result of implementation of the system, we expected that it manages to inventory planning continually and systematically.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.704-708
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• 2002

Production scheduling has been one of the most critical issues in a manufacturing environment Job-shop scheduling problems(JSP) are well know from the standpoint of production planning and operations control in this research scheduling against due date is a measure of performance and the objective is minimizing total weighted tardiness This paper presents an idea of decomposition of the problem and shows robustmess of the schedule under various disturbances along with exact and approximation methods. The proposed method can indeed handle shop disturbances more effectively when compared with traditional and dynamic scheduling methods.

• IE interfaces
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• v.23 no.1
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• pp.12-23
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• 2010

A semiconductor market is one of the most competitive markets in the world. To survive this competition, important targets for production planning are on-time delivery and profit maximization. In our research, we modify the linear programming model for the current production planning by adding new objective functions that maximize the profit. In addition, we propose a production planning process that gives a priority to new products, reflecting daily fluctuations in demand to weekly production planning. We validate our model with real data sets obtained from a major company semiconductor manufacturer and performed the paired t-test to verify the results. The results showed that our model forecasted profit and loss with 93.2% accuracy and improved the due date satisfaction by 10%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.1095-1100
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• 2010

Customer satisfaction is a main issue in the modern competitive industrial environment. So quality and productivity are the most important requisites. This paper presents a method for effective real time dispatching for parallel machines with multi product that minimizes mean tardiness and maximizes the quality of the product. In this paper, the effectiveness of the method has been examined in the simulation and compared with other dispatching methods. Using this method presented in this paper, companies can improve customer satisfaction.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3697-3703
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• 2016

Hepatocellular carcinoma (HCC) is the most frequent type of malignant liver tumor and a high impact health problem worldwide. The prevalence of HCC is particularly high in many Asian and African countries. Some HCC patients have no symptoms prior to diagnosis and many of them therefore present at late stage and have a grave prognosis. The well-established causes of HCC are chronic hepatitis B virus (HBV) or chronic hepatitis C virus (HCV) infection or alcoholic cirrhosis and nonalcoholic steatohepatitis. The Barcelona Clinic Liver Cancer (BCLC) Staging System remains the most widely used for HCC management guidelines. To date, the treatments for HCC are still very challenging for physicians due to limited resources in many parts of the world, but many options of management have been proposed, including hepatic resection, liver transplantation, ablative therapy, chemoembolization, sorafnib and best supportive care. This review article describes the current evidence-based management of HCC with focus on early to advance stages that impact on patient overall survival.

• Journal of the Semiconductor & Display Technology
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• v.23 no.2
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• pp.107-113
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• 2024

Scheduling of semiconductor test facilities has been crucial since effective scheduling contributes to the profits of semiconductor enterprises and enhances the quality of semiconductor products. This study aims to solve the scheduling problems for the wafer burn-in test facilities of the semiconductor back-end process by utilizing simulation and deep reinforcement learning-based methods. To solve the scheduling problem considered in this study. we propose novel state, action, and reward designs based on the Markov decision process. Furthermore, a neural network is trained by employing the recent RL-based method, named proximal policy optimization. Experimental results showed that the proposed method outperformed traditional heuristic-based scheduling techniques, achieving a higher due date compliance rate of jobs in terms of total job completion time.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.258-259
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• 2017

As the use of advanced quality materials in constructions has been increasing since 1980 with the improvements in the quality of life and economic scale, there has been drastic increase in constructions using stones for the internal and external construction materials. However, the reality is where many problems rise due to improper construction and management of uncertified stones which shorten the expiry date of the stones and act as the factor causing defects in buildings. Such defects not only bring economic losses but also influence consumer choice and act as risk factors to demand expansion of stone market. Therefore, the object of this study lies on proposing plans to prevent personal and economical losses due to repetitive defects by deriving the types of defects generated by process in stone constructions and identify the causes. Also, proposing construction process management plans as the measure for defect prevention, analyzing problems of stone constructions followed by the whole proves of design, construction and maintenance of stones, and solving such problems through appropriate participation of professional consultants depending on situations.

• IE interfaces
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• v.13 no.4
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• pp.564-571
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• 2000

Manufacturing companies are implementing a so-called customer-centered supply chain management to have a competitive advantage. In these efforts, collaboration not only within a company but also with suppliers, partners and customers is emphasized. The fast delivery, reducing the total lead-time from development to delivery, is pursued more than ever, though the quality and cost are still importantly regarded. Die manufacturing companies are not exception from these trends, because a die is a necessary tool for almost manufacturing industries. The planning and scheduling system plays an important role in supply chain management. In this study, we address a scheduling problem of a die manufacturing company. The problem is very complex due to many reasons including the uncertainty in environment and the complexity of constraints. Considering the importance of due-date satisfaction and human planners' roles, we designed the solution algorithm and the user interface respectively. In the implementation phase, modeling constructs and basic solution algorithms of ILOG solver and ILOG scheduler are used. In the paper, the problem and the algorithm are described with ILOG constructs, and the experience of use is also addressed.