• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.269-276
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• 2022

The robustness of a supply chain (i.e., the ability to cope with external and internal disruptions and disturbances) becomes more critical in ensuring the success of a construction project because the supply chain of today's construction project includes more and diverse suppliers. Previous studies indicate that topological features of the supply chain critically affect its robustness, but there is still a great challenge in characterizing and quantifying the impact of network topological features on its robustness. In this context, this study aims to identify network measures that characterize topological features of the supply chain and evaluate their impact on the robustness of the supply chain. Network centrality measures that are commonly used in assessing topological features in social network analysis are identified. Their validity in capturing the impact on the robustness of the supply chain was evaluated through an experiment using randomly generated networks and their simulations. Among those network centrality measures, the PageRank centrality and its standard deviation are found to have the strongest association with the robustness of the network, with a positive correlation coefficient of 0.6 at the node level and 0.74 at the network level. The findings in this study allows for the evaluation of the supply chain network's robustness based only on its topological design, thereby enabling practitioners to better design a robust supply chain and easily identify vulnerable links in their supply chains.

• 산업경영시스템학회지
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• 제43권1호
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• pp.110-122
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• 2020

Many companies make considerable efforts in implementing supply chain management systems to increase their competitiveness. In particular, there are significant investments in their ICT (Information and Communication Technology) and supply chain. However, considerable diversity exists in how well firms have been able to assimilate ICT and leverage the business value of it. In addition, studies on supply chains, particularly Real Time Enterprise (RTE) competence, which is cited for rapid information sharing and dynamic capabilities for each role in the supply chain, are insufficient. The purpose of this paper is to explore and evaluate effect of ICT utilization capabilities, including 'ICT internal cooperative capabilities' and 'ICT operational flexibility capabilities', on RTE capabilities (flexibility, visibility and prediction) and supply chain performance. To validate the research model proposed in the study, survey was conducted on companies using ICT along the supply chain of manufacturing industries. 216 data were used, SPSS and AMOS were used for the analysis methods. Study results showed that ICT internal collaboration capabilities affect agility, one of RTE capabilities, but not visibility and prediction, and ICT operational flexibility capabilities have affected all three RTE capacities. And, RTE capabilities had a huge impact on supply chain performance as expected. In this paper, it has been found that the ICT capabilities in manufacturing are an important factor in improving RTE capabilities that are important in the supply chain and improving the performance of the supply chain.

• 한국산업정보학회논문지
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• 제25권6호
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• pp.109-123
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• 2020

코로나19의 여파 속에 전 인류의 생활과 사고방식, 기업경영 환경에 큰 변화가 있었다. 특히, 판데믹으로 인한 글로벌 공급사슬단절, 대금결제 지연, 통상 마찰 등 공급사슬관리 관련 이슈들이 연일 주목받고 있다. 이에 따라 코로나19에 따른 공급사슬관련 이슈에 대한 정리와 이에 대한 해결방안에 대해서 다수의 연구들이 진행되고 있으나, 아직은 미비한 실정이다. 본 연구에서는 코로나19 판데믹 상황에서 공급사슬관리와 관련하여 작성된 뉴스기사들은 중심으로 네트워크 텍스트 분석을 시행한다. 기사자료 네트워크 텍스트 분석을 중심으로 위드 코로나19 상황의 공급사슬관리 관련 이슈들을 정리한다. 분석결과 글로벌 공급사슬의 재편, 리쇼어링 고려, 공급사슬관리를 위한 새로운 기술도입, 코로나 뉴노멀에 대한 대비 등의 내용이 기사에서 주로 언급되었음을 확인하였고, 향후 필요한 연구과제들을 제시하였다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.

• 수산경영론집
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• 제53권3호
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• pp.1-15
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• 2022

The global cod market is supposed to have weak structure with a high dependence on the supply of Russia, the United States, Norway, and China. The COVID-19 pandemic has significantly disrupted the cod supply chain for the worse. Fish processing facilities in China stopped their operation, and cod demand declined due to shrinking consumption in Europe. The position of South Korea as an intermediary trade country between Russia and China strengthened due to the U.S.-China trade war and the Atlantic cod decrease in 2019. However, this global cod supply chain collapse has caused South Korea to export accumulated cod to Indonesia and Vietnam at a bargain price, showing that South Korea was unable to cope with this supply chain crisis. The primary purpose of this study is to investigate changes in the global cod supply chain and their impacts on the intermediary trade of South Korea caused by the COVID-19 pandemic. It also aims to provide implications by analyzing advanced cases in Denmark. As the cod supply chain crisis countermeasures, this study suggests that South Korea develop high value-added marine products, gain competitive advantages by solidifying the value chains of related countries, and activate export by discovering alternative markets in terms of the supply chain of the cod industry.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.490-493
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• 2002

건설 전단계에서 통합적인 관리를 위해서는 건설 전단계에 걸친 관리가 이루어져야 하고, 이러한 프로세스가 원활히 이루어지기 위해서는 자재의 원활한 조달이 이루어져야 한다. 현재 국내${\cdot}$외에서는 공급사슬관리를 위한 도구로서 인터넷을 활용한 통합조달과 자재의 분류체계를 통한 인터넷활용 방안에 대하여 연구${\cdot}$개발중이다. 본 연구의 목적은 건설자재 중 전기설비자재인 케이블덕트관의 공장제작과정과, 공정과정 흐름을 모델링하여 각 단계에서 발생되는 낭비요소들을 파악하여 개선점을 제시하는데 있다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2000년도 추계학술대회 및 정기총회
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• pp.99-102
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• 2000

In the supply chain network design, how to select the best location, capacity configuration of the suppliers and to assign manufacturers orders are a challenging issue. Especially when multi-tiers'suppliers are existed, the performance of supply chain is influenced by 2$\^$nd/ and 3$\^$rd/ suppliers. Supplier selection is multi-criteria problem which includes both qualitative and quantitative factors in supply chains. In order to select the best supplier it is necessary to make a trade off between these two factors such as cost, product quality, capacity, production lead time, deliver lead time and transportation lead tine of supplier constraints existed in multi-tiers supplier purchasing chain. In these circumstances, purchasing agents should decide two problems: which is the best supplier in each tier and how much should be purchased from each selected supplier. This research is intended to develop an integration of an analytical hierarchy process (AHP) and mathematical modeling proposed to consider two factors which may be conflicted in choosing the best supplier in each tier and placing the optimum order quantities to the supplier among multi-tiers suppliers.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.659-672
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• 2020

The outbreak of a recent strain of Coronavirus, known as 'COVID-19', has spread sharply from China across the globe, resulting in a dramatic recession in the global economy. This uncertainty has therefore negatively influenced the business perspective and the various formulated strategies that may not considered such [extreme] circumstances. Using baseline analysis and archival data, this paper reports some of the major implications of COVID-19 on global business and strategy and puts forward suggested research agenda as potential future directions for organizations. In order to survive and remain sustainable, this paper argues that businesses need to revisit their strategies during current COVID-19 crises from three perspectives, including supporting human resources financial commitment, forming cross-functional teams and connecting with their supply chains, as well as investing in corporate social responsibility and doubling down efforts with regard to partnerships. The study also represents a preliminary analysis to the implications of COVID-19 on the business and strategies across the globe and is considered the first such in the field of business, as to date all research papers on COVID-19 have been published in medical-related journals. Directions for future research are also proposed at the end of this study.

• 경영과학
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• 제30권2호
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• pp.43-61
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• 2013

With the recent introduction of supply chain management (SCM), quality management has extended from within companies to between companies. As a result, supply chain quality management (SCQM) has received increased attention. However, existing SCQM studies only focus on what impact quality control in supply chains have on company performance while virtually no studies examine quality control efficiencies. This paper, therefore, evaluated the SCQM efficiency of a parent company and its partner companies by using Data Envelopment Analysis (DEA) based on the Quality Collaboration Index for Supply Chain Management (QCI-SCM) conducted by the Korean Standards Association for its 'Quality Innovation-Based Building and Expansion of Business.' Study results showed that a parent company and its partners showed an overall average efficiency of approximately 80% (parent company 80.37%, partner company 79.05%). By also performing a discriminant analysis based on the calculated efficiency scores using DEA, factors that made companies efficient or inefficient were different between the two groups. In parent companies, efficiency and inefficiency were determined by factors such as communication, infra-structure, support, delivery of quality, and benefit sharing, whereas in partner companies, talent development, infrastructure, crisis management, and delivery of quality were the determining factors. In this paper, we examined the efficiency of SCQM and analyzed them from the perspective of both the parent company and partner companies to offer strategic SCQM insights.

• 대한산업공학회지
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• 제31권2호
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• pp.106-119
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• 2005

Uncertainties inherent in customer demand patterns make it difficult for supply chains to achieve just-in-time inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. In this paper, we propose two intelligent adaptive inventory control models for a supply chain consisting of one supplier and multiple retailers, with the assumption of information sharing. The inventory control parameters of the supplier and retailers are order placement time to an outside source and reorder points in terms of inventory position, respectively. Unlike most extant inventory control approaches, modeling the uncertainty of customer demand as a stationary statistical distribution is not necessary in these models. Instead, using a reinforcement learning technique, the control parameters are designed to adaptively change as customer demand patterns change. A simulation based experiment was performed to compare the performance of the inventory control models.