• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.25-39
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• 2023

As the scope of supply chains expands globally, unpredictable risks continue to arise. The occurrence of these supply chain risks affects port cargo throughput and hinders port operation. In order to examine the impact of global supply chain risks on port container throughput, this study conducted an empirical analysis on the impact of variables such as the Global Supply Chain Pressure Index (GSCPI), Shanghai Container Freight Index (SCFI), Industrial Production Index, and Retail Sales Index on port traffic using the vector autoregressive(VAR) model. As a result of the analysis, the rise in GSCPI causes a short-term decrease in the throughput of Busan Port, but after a certain point, it acts as a factor increasing the throughput and affects it in the form of a wave. In addition, the industrial production index and the retail sales index were found to have no statistically significant effect on the throughput of Busan Port. In the case of SCFI, the effect was almost similar to that of GSCPI. The results of this study reveal how risks affect port cargo throughput in a situation where supply chain risks are gradually increasing, providing many implications for establishing port operation policies for future supply chain risks.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1367-1370
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• 2001

전자상거래는 지불, 보안, 웹호스팅 등의 단위 기술도 필요하지만, 기업간의 전자 거래를 위한 공급망 관리 기술도 매우 중요한 기술로서 개발되어야 한다. 본 논문에서는 인터넷상의 전자 거래를 지원하는 공급 망 개발에 대한 독립성, 연계성, 관리성, 보안성에 대한 요구사항을 제시하였고, 네트워크에 대한 요구 사항인 익스트라넷의 필요성에 대하여 기술하였다. 전자 거래 공급 망을 구성함에 있어서 각 공급하는 도메인 별 링크의 구성을 나타내어 공급 망의 특성을 분석하였으며, 공급 망의 이기종간 e-business 워크플로우 트레이딩 파트너간의 연동 구조를 제시하였다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.77-88
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• 2021

The development history of China's big data is relatively short, and it has only been ten years so far. Although the application level of big data in real life is not high, some achievements have been made in the supply chain. Various kinds of data will be generated in the actual operation of the supply chain. If these data can be effectively classified and used, the "bullwhip effect" of the operation of the supply chain can be also effectively improved. Thus this paper proposes the development of a supply chain collaborative inventory management model and application framework using big data. In this study, we analyzed the supply chain of beer industry, which is the most prominent consumption industry with "bullwhip effect", and further established a big data collaborative inventory management model for the supply chain of beer industry based on system dynamics. We used the Vensim software for simulation and sensitivity test and after appling our model, we found that the inventory fluctuations of the participants in the beer industry supply chain became significantly smaller, which verified the effectiveness of the model. Our study can be also applied to the possible problems of the large data supply chain collaborative inventory management model, and gives certain countermeasures and suggestions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1189-1206
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• 2020

Recently, ICT companies do not directly design, develop, produce, operate, maintain, and dispose of products and services, but are outsourced or outsourced companies are increasingly in charge. Attacks arising from this are also increasing due to difficulties in managing vulnerabilities for products and services in the process of consignment and re-consignment. In order to respond to this, standards and systems for security risk management of ICT supply chain are being established and operated overseas, and various case studies are being conducted. In addition, research is being conducted to solve supply chain security problems such as Software Bill of Materials (SBOM). International standardization organizations such as ISO have also established standards and frameworks for security of ICT supply chain. In this paper, we presents ICT supply chain security management items suitable for domestic situation by comparing and analyzing ICT supply chain security standards and systems developed as international standards with major countries such as the United States and EU, and explains the necessity of cyber security framework for establishing ICT supply chain security system.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.120-120
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• 2017

인천지역의 상수도공급은 팔당댐을 취수원으로 하여 도수, 송수관을 거쳐 인천지역 내 정수장을 통하여 각 급수지역까지 일원화된 관로시스템으로 공급되고 있다. 관망에서의 적절한 수압관리, 노후관로 교체사업 등은 급수관망 내 관로 사고위험을 줄일 수 있고, 누수량을 저감하여 무수율의 감소로 이어질 수 있다. 상수관망 내 누수에 영향을 주는 물리적, 운영적 요소를 파악하고, 이를 이용하여 누수해결을 위한 방법론을 제시하는 것은 매우 중요하다. 본 연구에서는 인천시 배수관망 데이터를 활용하여 통계분석 및 인공신경망을 통하여 무수율에 영향을 미치는 인자를 선별하고, 무수율과의 연관성을 분석하고자 하였다. 이를 위해 대상지역에 대한 시설현황 및 운영자료를 취득하고, 무수율 분석에 활용하였다. 인천시의 소블럭을 대상으로 관로노후도, 배수관연장, 평균관경, 급수전당 공급량, 누수발생 횟수, 용도지역, 관망구성 형태 등을 고려하여 무수율과의 관계분석을 위한 통계분석을 수행하였다. 특히 급수에 필요한 최소에너지와 관망에서 공급되는 에너지를 비교하기 위하여 관망해석 프로그램인 EPANET을 이용하여 관망내 절점에서의 수압과 수요량이 적용된 최소공급에너지를 활용하였고, 이를 통하여 블록 내 과잉공급에너지와 무수율의 영향성을 비교하였다. 최종적으로 산출된 주요인자에 대한 주성분분석, 분산분석, 다중회귀분석 등의 통계분석과 인공신경망에 의해 학습된 알고리즘을 통하여 산정된 무수율을 실측 무수율과 비교, 분석하였다. 인공신경망에 의해 산정된 무수율과 실측 무수율의 정확도를 평가하기 위하여 MAE, MSE, PBIAS 등의 정확도 평가와 산점도 분석을 수행하고, 상관계수를 도출하여 가장 정확한 방법을 결정하였다. 분석 결과 통계분석에 의한 다중회귀식으로 산출된 무수율 보다 인공신경망에 의한 무수율이 실측값에 더욱 근접한 것으로 나타났으며 이용된 뉴런의 수의 따라 산출결과가 상이하기 때문에 최적 뉴런의 수를 산정해야 할 필요가 있음을 확인하였다. 특히 사용된 상수관망 주요인자 중 주성분분석을 통하여 선정된 각 성분을 인공신경망에 적용시 더욱 정확한 무수율 예측이 가능한 것으로 나타났다.

• Environmental and Resource Economics Review
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• v.17 no.1
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• pp.83-120
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• 2008

Small and medium sized enterprises' (SMEs) environmental performance and activities have been often of great concern toward sustainability as they have been playing a critically important role in the economic and industrial development. Among many initiatives to engage SMEs into the sustainability framework, Supply Chain Environmental Management (SCEM) of large companies has a great potential to persuade SMEs to adopt environmentally improved activities. This study investigated the relationship between SCEM approaches of large companies and environmental activities of SMEs in the Korean electronics industry. A postal questionnaire survey was used as a data collection method, and factor analysis and regression analysis were applied to analyse the collected data. The empirical findings suggested that SCEM approaches of large companies have positive impacts on environmental activities of SMEs. Among SCEM approaches, the collaborative approach was more effective than the arm's-length approach. Additionally, this study found positive impacts of trans-national SCEM approaches on SMEs' environmental activities.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.169-179
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• 2013

Small and medium-sized firms are increasingly dependent on the knowledge and expertise of the supply chain as a whole to innovate and improve supply chain performance. This research examines the capabilities that enable firms to collaborate successfully, and aims to identify the determinants of SCM performance of the suppliers participating in supply chains managed by Global Korean companies. This study proposes the technology support, the collaboration with tier two companies, incentives and information sharing as major research variables, and collected the survey responses from 58 domestics suppliers. The statistical results indicate that the incentives, technology support and the collaboration with tier two firms influence the level of co-work with the firm leading supply chain, and that information sharing has some impact on SCM performance of the suppliers. But on the contrary to our expectation, the co-work with the firm leading supply chain has only moderate impact on SCM performance with p value just over 5%. We conclude this paper with some suggestions for future research.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.460-475
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• 2019

Notwithstanding the big potential benefits from interorganizational information systems (IOS), not very many companies have realized these benefits. In an attempt to explain this phenomenon, this study proposes a new construct of IOS asymmetry which refers to the asymmetry in information transparency between supply chain (SC) partners. When there is IOS asymmetry in SC relationships, IOS may not facilitate seamless information exchange among SC partners. Instead, IOS asymmetry may result in SC inefficiencies due to a lack of information sharing. The objective of this study is to empirically investigate whether IOS asymmetry exists in practice and whether it influences SC performance negatively. The data was collected from 130 matched pairs of upstream SC partners in manufacturing industries. The results show that IOS asymmetry indeed decreases overall SC performance. Also, the relationship between IOS asymmetry and SC performance is strengthened under the conditions of high environmental uncertainty.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.83-95
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• 2013

Supply chain management for engineering project focuses on planning acquisitions, identifying and choosing the right suppliers and subcontractors, planning and negotiating appropriate contracts, and administering the collaboration with the suppliers and subcontractors. This paper aims to identify the determinants of SCM performance of the suppliers and subcontractors participating in the project-based supply chain. This study proposes the absorptive capacity, fairness of suppliers' evaluation, the quality of collaboration and incentives as major research variables, and collected the survey responses from the suppliers and subcontractors having experiences with major engineering projects. The statistical results indicate that the incentives, absorptive capacity and the quality of collaboration influence SCM performance of suppliers, and that the fairness of suppliers' evaluation has some impact on the incentives and the absorptive capacity. But on the contrary to our expectation, the incentives have no significant impact on the level of absorptive capacity.

• The KIPS Transactions:PartD
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• v.10D no.7
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• pp.1207-1212
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• 2003

As development of the e-commerce, the distributing network for a logistics currency is more complicated. A management of the distributing network (DN) is important factor in distribution planning. The DN can be expressed to distribution center (DC) and the interaction of DC. An internal factor of DC and an external factor to occur by an interaction of DC have many influences on the DN. Therefore, for an efficient DN management plan, analysis of the DN that considered DC and an interaction of DC is required. Until now a study on a viewpoint of supply chain management as resources assignment was performed, but the study on analysis of the distribution network was not performed. This paper propose the distribution network analysis technique that considered DC and an interaction of DC. A proposed technique consists of two steps largely. First of all a DN is expressed with the graph that included an interaction of DC and DC. It uses a reachibility tree, and the following, a DN expressed with a graph is analyzed. Also we presented an example model, and show an usefulness of proposal technique with the analysis of this model.