• The Journal of Information Systems
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• v.12 no.2
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• pp.165-187
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• 2003

This study examined the factors that make Korean companies adopt supply chain management systems. By adding a group of inter-organizational factors, we extended an innovation-theory-based research model to study the information technology adoption. Sixty three questionnaires from 700 leading companies in Korea were collected and analyzed. Independent variables of the research included environmental, organizational, innovation, and relational characteristics. We found that supply chain management systems in Korean companies are at the initial stage of the adoption, in general. This research also found that company's environmental characteristics have insignificant relationship with the adoption of supply chain management systems. In addition, organizational characteristics (the support of top management, the size of organization, and the information technology infrastructure), innovation characteristics of the supply chain, and the power exercised over the supply chain played important roles in adopting supply chain management systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.258-261
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• 2003

The purpose of this study is designing intelligent supplier management system with selected criteria for monitoring and evaluating suppliers by the information As suppliers keep changing their performance continuously according to the environment and with the passage or time. Companies need to monitor suppliers' condition continuously and choose the suitable action. This study considers a framework or supply chain management system usuig neural networks for ongoing partnership with criteria of supplier performance. The intelligent supplier management system that this study suggests ran offer the supplier evaluation criteria for monitoring and more efficient supply chain management ran be expected for cost reduction or supply chain management with this system.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.103-111
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• 2013

As the demand-oriented management has been getting important in Supply Chain Management (SCM), various forecasting methods have been suggested including regression analyses. However, dependency structures among variables have been captured by a correlation coefficient, only. It results in inaccurate demand predictions. This paper suggests a new and effective forecasting modeling framework using student's t-copula function. In order to show overall modeling procedures framework, heavy tail typed numerical data and its copula estimations are provided. The suggested methodology can contribute to decrease the bullwhip effect and to stabilize volatile environment in a supply chain network.

• Journal of the Korea Society for Simulation
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• v.12 no.1
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• pp.59-71
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• 2003

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constraints. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model using a commercial genetic algorithm based optimizer. The results for computational experiments show that the real size problems we encountered can be solved in reasonable time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.122-134
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• 2020

As globalization has been progressed, companies faced a situation in which it was difficult to secure global competitiveness only with their internal management systems. To overcome this, Supply Chain Management (SCM) emerged, which optimizes the whole supply chain process from suppliers to demand companies. In this study, it was analyzed that the effects of customer integration among the integration factors of SCM, and market orientation among the strategic orientations on management performances such as non-financial performance and financial performance through a mediating role of flexibility. At this time, it was analyzed whether CEO's support has a moderating effect on the influence of the market orientation. As a result of analysis, the customer integration was found to have an indirect effect on the non-financial performance and the financial performance through the flexibility. The market orientation was found to have a direct effect on the non-financial performance and at the same time, indirectly affected it through the flexibility. In addition, it was shown that more the level of CEO's support, higher the influence of the market orientation. This moderating effect had an indirect effect on the financial performance. Based on the above findings, various implications for improving management performance were proposed. This study suggests that investments in computerization such as ERP and smart factories can improve supply chain management performance and ultimately improve customer satisfaction and financial performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.273-276
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• 2023

This paper presents the integration of Digital twin and Blockchain-based Supply Chain Management (DB-SCM) in a smart warehouse to create a more efficient, secure, and transparent facility. The process involves creating a digital twin of the warehouse using sensors and IoT devices and then integrating it with a blockchain-based supply chain management system to connect all stakeholders. All data are collected and tracked in real-time as goods move through the warehouse, and smart contracts are automatically executed to ensure accountability for all parties involved. The study also highlights the critical role of effective supply chain management in modern business operations and the significance of smart warehouses, which leverage advanced technologies such as robotics, AI, and data analytics to optimize warehouse operations. Later, we discuss the importance of digital twins, which allow for creating a virtual representation of a physical object or system, and their potential to revolutionize a wide range of industries. Therefore, DB-SCM offers numerous benefits, including enhanced efficiency, improved customer satisfaction, and increased sustainability, and provides a valuable case study for organizations seeking to optimize their supply chain operations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.272-275
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• 2000

SCM(Supply Chain Management)는 생산의 전후방 프로세스를 하나의 일관된 프로세스로 보고 통합된 관리를 통하여 고객만족을 달성하려는 새로운 흐름이다. 반도체 산업은 생산프로세스가 타 산업보다 복잡하고 사이클 타임이 길며 또한 생산과정도 다른 여러 프로세스의 연결과정으로 구성되어 타 산업의 SCM 모델링과 다르게 정의되어야 한다. 본 연구에서는 주문침투점을 기준으로 반도체 Push 형 SCM 모델과 Pull 형 SCM 모델로 구분하여 각각에 대한 수리적 모형을 제시함으로 생산에서 1차 소비자까지의 SCM 네트워크에 대한 정형화를 시도하였다. Push형 모델에서는 생산량 극대화를, Pull형 모델에서는 납기만족을 전제로 한 이익의 최대화를 목표로 한다.

• Korea Logistics Conference
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• v.10 no.2
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• pp.21-38
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• 2002

[ $\blacksquare$ ] The internet can have substitution, scale and structural impacts to this supply chain. $\blacksquare$ Complementary values of supply chain management and e-business. $\blacksquaret$ Using sound supply chain principles with e-business initiatives can create new business propositions. $\blacksquare$ The stakes of not moving forward are huge.

• Journal of Fashion Business
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• v.9 no.3
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• pp.37-46
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• 2005

The purpose at this study was to investigate how component factors at SCM affect the performance at textile and apparel firms in a competitive market. For the methodology at this study, the questionnaire was developed based upon the literature review. 150 questionnaires were distributed to the CEOs, CMOs, and experts who operate SCM in textile and apparel firms. The returned usable 85 were analyzed by SPSS10.0 with multiple regression analysis and Cronbach's Alpha for internal consistency and reliability. The performance at the textile and apparel firms that adopted SCM was affected by information system, partnership, and business environment in a descending order. For details, the performance of the textile and apparel firms that adopted SCM was affected by computerization, information sharing, CEO's concern, alliance, and support in a descending order.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.03a
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• pp.89-99
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• 2002

Since 1996, the document exchange method by EDI has been introduced in port and logistics industries in Korea to enhance the declaration activities to the Pusan Port Authority and Customs. In spite of these efforts, users such as shipping companies, shipping agents, and freight forwarders have complained the inconvenience of using EDI systems. The major reasons can be summarized as follows: repetitional EDI transfer, too much transfer time, inconvenient EDI software, and problems on message receiving confirmation. Furthermore, EDI has been used only for transmitting messages. To solve these problems, this study has adopted the integration system by applying the concept of SCM to logistics system by XML/EDl. In the view of SCM, the existing EDI has some problems because its role is only to transmit the messages. This paper is to suggest how current EDI systems in Port and logistics sector has to be chanced by Introducing SCM. The integration system gives us such advantages as accuracy of cargo data, integration of processes among firms, and keeping the trace of cargo.