• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.141-164
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• 2020

With business environments around the world facing uncertainty and complexity, companies have focused on supply chain management as one of the essential elements in securing a competitive advantage. Successful supply chain management requires internal efforts to strengthen the core competencies of the company and the integration of individual functions in the supply chain. This study aims to investigate the effect of information sharing between companies on supply chain integration and corporate performance. The research hypothesis established in previous studies was analyzed using structural equation modeling. A total of 723 questionnaire responses were used to test the hypotheses of this study. We found that the integration and sharing of information between companies have a great influence on supply chain integration, which has positive effects on corporate performance at the operational and strategic levels, including finance, market share, and customer satisfaction. The integration of supply chains via information integration and sharing between companies can promote the flow of information, services, goods, and money. Therefore, if information is disconnected between actors in the supply chain, it will lead to negative effects on the management of the entire supply chain. On the other hand, if supply chain actors can share information efficiently in real time on one platform, they can expect to optimize the entire supply chain. Information sharing and integration at the strategic and operational levels play a vital role in supply chain integration, which contributes to achieving a company's performance targets and enhancing its competitiveness.

• International conference on construction engineering and project management
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• 2022.06a
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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.

• Journal of the Korea Safety Management & Science
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• v.8 no.3
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• pp.115-123
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• 2006

The main focus of this study is to investigate the performance of a clark-scarf type multi-echelon serial supply chain operating with a base-stock policy and to optimize the inventory levels in the supply chains so as to minimize the systemwide total inventory cost, comprising holding and backorder costs as all the nodes in the supply chain. The source of supply of raw materials to the most upstream node, namely supplier, is assumed to have an infinite raw material availability. Retailer faces random customer demand, which is assumed to be stationary and normally distributed. If the demand exceeds on-hand inventory, the excess demand is backlogged. Using the echelon stock and demand quantile concepts and an efficient simulation technique, we derive near optimal inventory policy. Additionally we discuss the derived results through the extensive experiments for different supply chain settings.

• Korean Management Science Review
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• v.30 no.1
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• pp.149-165
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• 2013

This study empirically investigated the changes of performance evaluation systems under the environment of supply-chain e-commerce. The objectives of e-commerce include obtaining financial profit, internal innovation through processes integration, learning with information flow, and customer satisfaction through quick response. These objectives are generally consistent with the four evaluation measures of balanced scorecard(BSC). This study, first, demonstrated that perceived environmental uncertainty(PEU) has a significant effect on the adoptions of e-commerce and BSC, and severe competition positively influences the use of e-commerce. With cluster analysis and subgroup analysis, we also showed that under the high adoption levels of e-commerce, the high utilization of BSC can improve the supply-chain performance of a firm. In addition, it was found that the use of e-commerce indirectly and significantly affects supply-chain performance through inter-organizational information flow, and the supply-chain performance of a firm leads to the improvement of organizational performance.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.3-15
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• 2022

In this study, we develop a simulation model for Supply Chain Management (SCM) of modular construction based steel bridge. To this end, first, Factory Production/Site Construction system data for the steel bridge construction were collected, and supply chain, entities, resources, processes were defined based on the collected data. After that, a steel bridge supply chain simulation model was developed by creating data, flowchart, and animation modules using Arena software. Finally, verification and validation of the model were performed by using animation check, extreme condition check, average value test, Little' s law test, and actual case value test. As a result, the developed simulation model appropriately expressed the processes and characteristics of the steel bridge supply chain without any logical errors, and provided accurate performance evaluation values for the target system. In the future, we expect that the model will faithfully play a role as a performance evaluation platform in developing management techniques for optimally operating the steel bridge supply chain.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.275-284
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• 2011

In the process of supply chain management (SCM), the supply chain outside of the production line contributes up to 60~70% of value added. Faced with ever increasing competition, companies are exercising the efforts for cost reduction and process improvement. At the center of the efforts is the reengineering of supply chain for the improvement of customer orientation and customer satisfaction. In spite of the need, the contractual hierarchy with subcontractors stands in the implementation of SCM in the construction industry. Although the construction industry has its own unique characteristics, The process of SCM can be adopted into the industry for improving the effectiveness of the business process. This study presents the methods that can foster SCM professionals through the development of SCM professional education contents, and suggests the activations for applying construction SCM.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.1
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• pp.69-84
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• 2011

In this study, based on the principal-agent paradigm, we investigate a joint cost reduction activity in a buyer-supplier supply chain where a buyer motivates its operations department and a supplier to reduce the supply chain's production cost. We construct a benefit-sharing model based on the target cost scheme, a basic philosophy in practice which has not been explored in previous studies. The model also incorporates various supply chain issues such as the cooperation of multiple agents, the opportunity loss, and the degree of strategic relationship between the buyer and the supplier. Based on the analysis of the principal-agent model, we investigate the benefit-sharing rule to control agents' actions, and we also provide important managerial implications into supply chain practices via extensive comparative static analyses.

• Culinary science and hospitality research
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• v.13 no.4
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• pp.107-118
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• 2007

This research aimed to understand the relationship between comparative superiority elements of the supply chain activities for food supplies in the hotel industry. The samples are obtained from exclusive hotels located in the Seoul area. A statistic package program called SPSS was employed to conduct reliability analysis, factor analysis, t-test, correlation analysis, and multiple regression analysis. Results of a multiple regression analysis between supply chain management and food production strategies were as follows; company's characters and cooperative relations with suppliers had a significant impact on cost while quality was significantly affected by company's characters, information system, cooperative relations with suppliers, and supply chain activities. It was revealed that all factors had a significant impact on flexibility and delivery date.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.403-412
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• 2020

The main purpose of this paper is to explore how green supply chain management (GSCM) and its evaluative factors have affected green supply chain management practice and performance in industrial zone. This study proposes a structural equation model of the relationships among four factors: internal awareness (IA); suppliers' pressure (SP); customers' awareness (CA); and regulations pressure (RP) and their effect on GSCM practice (PA) and GSCM performance (PE). We used a survey questionnaire to elicit perceptions/opinions about GSCM from three level of managers of 322 companies in Bac Ninh Province's industrial zones, Vietnam. PLS-SEM 3.0 software was applied to analyze and verify the gathered data, and the proposed hypothesis model. The results of path analysis show that internal awareness and customers' awareness are positively related to the GSCM practice and GSCM performance. However, suppliers' pressure and regulations pressure just impacted on GSCM practice. As a result, the testing of the relationship between GSCM practice and GSCM performance has been verified and supported. The findings of this study can help manager of companies in industrial zone understand the structure of GSCM, associate with the green supply chain management practice and green supply chain management performance, and be successful in green management organizations.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.1
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• pp.25-36
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• 2006

Consider a supply chain in which a vendor supplies a product to a buyer. We assume that the buyer's and vendor's inventory cost structures are different, resulting in differences in inventory order/delivery cycle times. Here, if one party insists on its individually optimal order/delivery quantity, the other party will suffer from mismatches in cycle times. Under this scenario, coordination contracts that make use of either a Net Term/Two parts Term Trade Credit or a Quantity Discount are designed to align individually optimal order Quantities. We compare and analyze the perform ances of these contracts. The focus of the comparison is the ability of contracts to generate a lower cost for the supply chain. We show that a Trade Credit policy can be effectively used to coordinate a supply chain. In many cases it will result in a lower supply chain cost compared to that achieved by using a Quantitative Discount policy.