• Journal of Information Technology Applications and Management
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• 제10권4호
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• pp.15-28
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• 2003

This paper examined the impact of supply chain partnership attributes on the SCM performance. For this, relationship commitment, trust, and collaboration were used as attributes for the supply chain partnership. Also the SCM performance was measured by supply chain integration, customer responsiveness, and supplier performance. Based on the statistical analysis of the sample of Korean corporations, it was found that relationship commitment and trust were shown to be significant factors influencing the collaboration. In addition, the collaborative supply chain partnership has a significant positive influences on the SCM performance. These result, in short, supported the importance of supply chain partnership for the successful SCM.

• Journal of Information Processing Systems
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• 제20권2호
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• pp.215-225
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• 2024

With the rapid development of Internet of Things (IoT) and big data technology, a large amount of data will be generated during the operation of related industries. How to classify the generated data accurately has become the core of research on data mining and processing in IoT industry chain. This study constructs a classification model of IoT industry chain based on improved random forest algorithm and text analysis, aiming to achieve efficient and accurate classification of IoT industry chain big data by improving traditional algorithms. The accuracy, precision, recall, and AUC value size of the traditional Random Forest algorithm and the algorithm used in the paper are compared on different datasets. The experimental results show that the algorithm model used in this paper has better performance on different datasets, and the accuracy and recall performance on four datasets are better than the traditional algorithm, and the accuracy performance on two datasets, P-I Diabetes and Loan Default, is better than the random forest model, and its final data classification results are better. Through the construction of this model, we can accurately classify the massive data generated in the IoT industry chain, thus providing more research value for the data mining and processing technology of the IoT industry chain.

• Industrial Engineering and Management Systems
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• 제12권3호
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• pp.224-233
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• 2013

In supply chain management, the supply contract can induce collaboration and coordination among the supply chain members in order to optimize supply chain performance. Numerous supply contracts have been examined; however, some difficulties related to the application of these contracts still occur. One of the solutions is to apply the composite supply contract which can assist in the supply chain coordination. This research examines the composite contract of the revenue sharing and quantity flexibility contracts in a two-stage supply chain, which comprises a retailer and a supplier. In this research, a mathematical model of the composite contract is developed; then, the applicability of the proposed composite contract is examined by investigating its capability in terms of supply chain coordination and profit allocation. In the numerical experiments, the composite revenue sharing-quantity flexibility contract showed that it is superior to both component contracts in terms of supply chain coordination and profit allocation among supply chain members.

• 예술인문사회 융합 멀티미디어 논문지
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• 제6권6호
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• pp.395-402
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• 2016

과학기술의 발전과 수요의 변화로 인해 기업들은 빠른 환경변화에 직면하고 있다. 기업들은 이러한 환경변화에 대응하기 위해 공급망의 역량을 강화하기 위해서 노력하고 있다. 개선과정에서는 공급망의 참여자들 간의 협력적인 관계가 중요하며, 기업들은 내부적 활동을 다른 조직들에게 외주를 지고 프로세스 상에서의 낭비를 제거하기 위해 노력하고 있으며, 결과적으로 공급망은 지속적으로 간결하고 효과적인 상태가 되어간다. 본 연구는 외부 위험 하에서 낭비수준의 정도가 공급망 성과에 미치는 영향을 확인하고자 한다. 본 연구의 결과는 낭비 수준이 공급망 성과에 음의 영향을 미치고 있음을 보여준다. 또한 공급망 성과에 대한 낭비수준의 영향을 조직이 직면한 위험상황에 따라서 다르게 나타나고 있음을 보여준다. 즉 낭비의 수준이 높을수록 위험은 낭비수준과 공급망 성과 사이에서 조절효과가 있다. 이는 공급망 성과를 개선하기 위해서 내부적 효율성을 강화하는 것이 중요하지만, 외부적 위험을 적절히 관리하는 것이 우선적으로 선행되어야 함을 시사한다.

• Journal of Information Technology Applications and Management
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• 제17권1호
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• pp.141-155
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• 2010

We develop an intelligent information system in a multilayer electronic supply chain network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.173-186
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• 2014

This study outlines possible risk factors in the SCM of a company and correlates risk assessment, the strategy of risk management, and the supply chain performance. The data is surveyed from an international Korean company and is analyzed by the structure equation model of actual proof. The research model verifies the correlation between the risk assessment, the strategy of risk management, and the supply chain performance as dependent variables after the risk factors of the SCM are defined as independent variables. The research shows that there are consecutive links among the risk factors of the SCM, the risk assessment, and the strategy of risk management. The strategy of risk management was conclusively determined to have an effect on supply chain performance. Therefore, improving the supply chain performance of a company requires the constructive process for risk management based on a correlation between risk assessment and the strategy of risk management.

• 디지털산업정보학회논문지
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• 제14권3호
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• pp.69-75
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• 2018

Recently, various convergence technologies are attracting attention due to the block chain innovation technology in the M2M environment. Although the block-chain-based technology is known to be secure in its own right, there are various problems such as security and weight reduction in various M2M environments connected with this. In this paper, we propose a new lightweight method for the hash tree generation of block chains to solve the lightweight problem. It is designed considering extensibility without affecting the existing block chain. Performance analysis shows that the computation performance increases with decreasing the existing hash length.

• Industrial Engineering and Management Systems
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• 제7권1호
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• pp.78-89
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• 2008

The need for holistic modeling efforts for returns that capture the extended closed loop supply chain (CLSC) system at strategic as well as operational level has been clearly recognized by the industry and academia. Strategic decision-makers need comprehensive models that can guide them in efficient decision-making to increase the profitability of the entire forward and return chain. Therefore, determination of a near optimal design configuration, which includes the environmental, economical and technological capability factors, is important in strategic decision-making effort that affect the profitability of the closed loop supply chain. In this paper, we adopted an improved system dynamics methodology to tackle strategic issues that affect various performance measures, like market, time/cost, environment etc., for closed loop supply chains. After studying real life implementation issues in CLSC design, we presented guidelines for the PBM (Participative Business Modeling) methodology and presented its extension for the strategic dynamic system modeling of return chains. Finally, we demonstrated the measurement of operational performance by extending SD (system dynamic) application to closed loop supply chain management.

• 한국경영과학회지
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• 제41권1호
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• pp.113-126
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• 2016

This study investigates the effect of power dynamics on R&D and market performances. Various types of relationships in a supply chain are considered. An R&D company offering new technology for product quality and a manufacturer responsible for both production and sales are utilized as subjects. The company with bargaining power differs with respect to the supply chain situation in practice, and no fixed single relationship and supply chain structure exist. However, only a few studies have considered the various relationships among players in a supply chain and their effects on performance. Therefore, we propose three models with different supply chain structures and power dynamics among players. This study contributes to the academia and supply chain practice by revealing the different characteristics of supply chain models.

• Journal of the Korean Data and Information Science Society
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• 제25권4호
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• pp.755-767
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• 2014

최근 많은 기업들이 공급사슬에 정보통신기술 (information and communication technology; ICT)을 도입하고 있다. 그러나 기존의 연구들은 정보통신기술이 공급사슬에 미치는 영향과 관련하여 명확한 결론을 제시하지는 못하고 있다. 이에 본 연구는 기업에서 정보통신기술을 활용하는 역량의 관점을 제시하고 이를 네 가지 집단으로 분류하여 공급사슬성과에 미치는 영향을 살펴보고자 한다. ICT 역량을 구체적으로 협력과 변화 역량으로 구분하여 이를 토대로 집단을 네 가지 유형으로 분류하고, 공급사슬성과의 각 요인에 대하여 집단 간에 차이가 있는지 ANOVA분석과 사후검정을 실시하였다. 분석결과 정보통신기술의 역량이 모두 높은 집단이 공급사슬성과 중 특히 통합과 유연성 성과에서 가장 높은 수준인 것으로 나타났다. 통합과 유연성 변수의 세부문항에 대하여 집단 간 차이를 분석함으로써 기업 실무자에게 보다 정확하고 세세한 정보를 제공하고자 하였다.