• IE interfaces
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• v.13 no.3
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• pp.424-430
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• 2000

Supply chain management (SCM) is an area that has recently received a great deal of attention in the business community. While SCM is relatively new, the idea of coordinated planning is not. During the last decades, many researchers have investigated multi-stage inventory problems. However, only a few papers address the problem of cost-optimal coordination of multi-stage inventory control with respect to service measures. Even published approaches have a shortcoming in dealing with a delivery lead time consisted of a shipping time and a waiting time. Assumed that there is no waiting time, or that the delivery lead time is implicitly compounded of a shipping time and a waiting time, the problem is often simplified into a multi-stage buffer allocation and a single-stage stochastic buffer sizing problem at all installations. This paper presents a simulation-based heuristic algorithm and a comparison with others for the problem that cannot be decomposed into a multi-stage buffer allocation and a single-stage stochastic buffer sizing problem because the waiting time ties together all stages. The comparison shows that the simulation-based heuristic algorithm performs better than other approaches in saving average inventory cost for both Poisson and Normal demands.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.170-171
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• 2011

Recently, container terminal managers make an experiment on the double cycle and dual cycle operation, which ship loading and unloading were carried out simultaneously, for increasing the productivity of quay side. If, however, we make an experiment on dual cycle operation in a real job site, the efficiency is poor up to terminal operation method as YTs(Yard Tractors)' allocation method, QCs(Quay Cranes)' working speed, and position of export containers. Especially, using the existing yard operation method, it is difficult to support to dual and double cycle operation. Therefore, this paper examine more efficient terminal operation method, when terminal uses dual cycle operation. We developed a simulation model using simulation analysis software, Arena.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.11a
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• pp.101-105
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• 2002

In a traditional hierarchical inventory system, direct orders are the only information for inventory management that is exchanged between the firms involved. But due to the rapid development of modern information technology, it becomes possible for the firms to share more information in real time, e.g. demand and inventory status data. And so the term Supply Chain has emerged because it is seen as an important source of competitive advantage. Now it is possible to challenge traditional approaches to inventory management. In the past, one of the de-facto assumptions for inventory management was that the demand pattern follows a specific distribution function. However, it is undesirable to apply this assumption in real situations because the demand information in the supply chain tends to be distorted due to the bullwhip effect in a supply chain. To overcome this weakness, we propose a new solution method using NN (Neural Network). Our method proceeds in three steps. First, we find the patterns of optimal reorder points by analyzing past data. Second. train the NN using these pattern data and finally decide the reorder point. Using simulation experiment, we show that the proposed solution method gives better result than that of traditional research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.117-129
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• 2009

The bullwhip effect is known as the significant factor which causes unnecessary inventory, lost sales or cost increase in supply chains. Therefore, the causes of the bullwhip effect must be examined and removed. In this paper, we develop two analytical tools for the bullwhip effect control in supply chains. First, we develop the quantitative models for computing the bullwhip effect in a three-stage supply chain consisted of a single retailer, a single distributor and a single manufacturer when the fixed-interval replenishment policy is applied at each stage. The quantitative models are developed under the different conditions for the demand forecasting and share of customer demand information. They are validated through the computational experiments. Second, we develop a simulation-based decision support system for the bullwhip effect control in a more diverse dynamic supply chain environment. The system includes a what-if analysis function to examine the effects of varying input parameters such as operating policies and costs on the bullwhip effect.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.2
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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.

• Korea Trade Review
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• v.47 no.3
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• pp.17-35
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• 2022

The Pandemic crisis caused by COVID-19 has raised awareness of the importance of supply chain risk management, such as the control of movement between countries and the simultaneous manufacturing paralysis in the world. Effective risk management within the supply chain of the company is a core competency in the global environment. Therefore, this study quantitatively analyzed the perspective of domestic large corporations and small and medium enterprises (SMEs) by using the hierarchical analysis method (AHP) to identify the factors that should be considered as the priority when establishing supply chain risk management plans for large and small business employees. In order to conduct the study, a survey was conducted on large corporations and small and medium enterprises in Gyeongnam and Busan, and AHP analysis was conducted using Microsoft 365 excel program. In addition, Mann-Whitney U test (independent sample-nonparametric test) was conducted using SPSS/18 version of statistical package program for comparative analysis between groups. As a result, the priority was highly evaluated in the order of financial ability, competitiveness, disaster in the overall priority evaluation. There were statistically significant differences in internal risk and strategic decision making of supply chain between groups. This suggests that fandemics such as COVID-19 can not be predicted, but strategic responses are needed to utilize opportunities expressed in the crisis through supply chain risk management and to increase the competitive advantage of domestic companies even in the crisis.

• Korea Trade Review
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• v.46 no.3
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• pp.203-226
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• 2021

Sustainability is considered to be one of the most important social and environmental requirements of modern companies located in global supply chains, since the strong worldwide regulation on carbon emission due to global warming has been emphasized. Sustainable Supply Chain Management(SSCM) could be one of the great alternatives for global companies to maintain a pleasant business environment while fulfilling their social and environmental responsibilities. This paper aims to provide research trends and future directions on SSCM through a systematic literature review. From January of 2004 to May of 2021, 185 English-written and peer-reviewed articles published in eminent journals were selected for the review. The all reviewed papers have been published in SSCI, SCI and SCIE indexed journals and should have accredited by WOS and JCR. A descriptive analysis was followed by a content analysis with regard to research design and methods, and data analysis techniques. We found that the number of research in the field of SSCM have been recently increasing and researchers and their affiliation have been expanding to all over the world, especially to emerging countries. We also found that the rate of the empirical studies and relevant research methodologies applied to the selected papers were relatively high. In the future, it is desirable to be increased the number of the specific industry-oriented research and the quantitative research pursuing the optimality.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.91-99
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• 2013

The purpose of this study is to examine the value relevance of SCM using a regression model and we analyze the differences in the impact of industry type on corporate value. First, SCM key performance variables(asset utilization, cash flow, corporate growth, profitability) increases, the corporate value increase. Second, Asset utilization, cash flow, corporate growth in the high-tech industry showed a significant impact on the corporate value and corporate growth and profitability have an impact on the firm value in the non high-tech industry. This study are expected to be able to provide policy implications in the development of government policy to enable support for win-win cooperation, and ensuring the justification demonstrated by analyzing the impact of SCM enterprise value of the companies that want to maximize the effectiveness of SCM introduced.

• The Journal of Information Systems
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• v.17 no.2
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• pp.1-26
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• 2008

SCM is one of the important key issues in Internet-based business environment. This study intends to suggest a research model to measure the influence of environmental, organizational, information technology factors on organizational performance using the four perspectives of balanced scorecard (BSC). 9 independent variables and 4 dependent variables were adopted from existing literature review. 103 companies data were collected by survey. Four hypotheses in this study were generated to analyze the positive relationship of environmental, organizational, information systems on organizational performance with 4 perspectives of BSC. The results of hypothesis testing show as follows. First, organizational performance of learning and growth perspective has a positive influence of IS maturity, process innovation, top management support, use of SCM package, IS interoperability, and objectives sharing. Second organizational performance of infernal process perspective has a positive influence of process innovation, IS interoperability, objectives sharing, top management support, use of SCM package, competitiveness, and IS maturity. Third, organizational performance of customer perspective has a positive influence of IS interoperability, objectives sharing, process innovation, IS maturity, competitiveness, and use of SCM package. Finally, organizational performance of financial perspective has a positive influence of process in innovation, use of SCM package, IS maturity, objectives sharing, IS interoperability, and top management support. The contribution of this study is that it provides a conceptual framework and empirical evidences of the causal relationship between environmental, organizational, IS factor and organizational performance with 4 perspectives of BSC.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.227-243
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• 2016

In order to maximize profitability by optimizing the entire supply chain process, enterprises have made efforts to apply IT technologies such as POS, MES, and TMS. In addition, academic societies have also made efforts to verify the effects of IT technology introduction through various researches. However, until now, there is almost no research that analyzes the relationship between the IoT, a new IT technology, and the SCM. To study the effect of IoT technology on SCM, this study conducted professional Delphi surveys for three times. Through this method, this study analyzed changes that will be caused by the IoT technology, the priority area in IoT introduction, and the expected difficulty in IoT introduction on SCM. As a result of the Delphi surveys and analyses, it was expected that when IoT technology is introduced, the level of SCM's IT use and partnership will increase. However, the effect of the increased performance of the supply chain, which includes inventory management and quality control, will become weaker. The reason is that the development of operation and management skills, as well as the improvement of IT technology, are also important elements for the performance improvement of the supply chain. As for the priority area in IoT introduction, it was expected that the effect will be greater when IoT is introduced in customer service, transportation, and delivery areas. As difficulties in IoT technology introduction, such as the shortage of IoT platform development personnel, standardization, integration with the existing system, securing professional manpower, expenses, data management, and operation, were derived, it has thus become necessary for us to exert greater efforts in order to come up with solutions.