• Korean small business review
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• v.40 no.1
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• pp.25-52
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• 2018

The purpose of this study is to investigate the relationship between supply chain sustainability antecedent, supply chain competence, and supply chain sustainability. The relationship between supply chain sustainability antecedence factor and supply chain competence, supply chain competence and supply chain sustainability and to identify the differences between sustainability antecedence factors, capacity and sustainability depending on the size of the firm. To accomplish this, each research hypothesis was established and the results are as follows. First, compliance with environmental regulations, NGO response activities, CSR activities, and trade fairness were found to have a significant positive impact on manufacturing agility, environmental management, and social capital. And manufacturing agility, environmental management, and social capital has been confirmed that most of the economic, environmental and social sustainability have a significant positive influence. In addition, it has been confirmed that there are differences in the factors of supply chain sustainability, capacity, and sustainability depending on the size of the company. According to the results of the study, environmental regulation compliance, NGO response activities, CSR activities, and fairness factors selected as the leading factors of supply chain sustainability play a role as fundamental prerequisites for supply chain competence to achieve sustainability. Manufacturing agility, environmental management, and the formation of social capital have confirmed that they can raise the level of economic, environmental and social sustainability. Therefore, it was confirmed that the enhancement of supply chain sustainability precedence factors can lead to enhancement of supply chain competence, and furthermore, sustainability of supply chain. Compared with large corporations, SMEs' supply chain sustainability precedence factor, capacity and sustainability should be further improved.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.342-345
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• 2003

Due to the rapid development of manufacturing and information technology, traditional supply chain scheme has been changed dramatically Most companies have been forced to relocate or redesign their logistics network in different countries. A supply chain partnership is a relationship formed between two independent members in supply chain through information sharing to achieve specific objectives and benefits in terms of reductions in total costs and inventories. This study illustrates the benefits of supply chain partnerships based on information sharing and lead-time patterns. We consider three level of information sharing: (1) immediate order information; (2) demand information; (3) inventory information. Given a fixed total lead-time, how lead-time distribution will affect the bullwhip effect and inventory cost under information sharing strategies. The results can help improving supply chain performance and selecting suitable direction for the re-configuration of supply chain network.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.651-657
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• 2005

This study figures out the objectives of supply chain integration and proposes a conceptual framework for classifying the type of supply chain integration in order to help developing supply chain integration strategy. We figure out the objectives of supply chain integration by structural integration and functional integration and then develop a conceptual framework for classifying the type of supply chain integration by combining the clusters of structural integration factors and functional integration factors. Using the framework, a firm would be able to figure out which type of supply chain it belongs to and develop appropriate supply chain integration strategy.

• Agribusiness and Information Management
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• v.5 no.1
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• pp.1-10
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• 2013

Competition in supply chain has moved from between being organizations to between supply chain. To enhance competitiveness in supply chain, there is a need for organisations to establish and manage collaborative relationships among supply chain partners and share operational and strategic information timely and accurately. As a result, food supply chain partners have adopted of inter organisational information systems (IOIS) such as EDI, IEDI, RFID, internet, and extranets to facilitate exchange of information, streamline production and to effectively manage inventory processes so as to deliver value to the customer. Together with IOIS, cybermediaries also plays a key role in facilitating agriculture and food supply chain. This paper investigates the role and significance of IOIS and cybermediaries in facilitating agriculture and food supply chain. Convergent interviewing was conducted with agriculture producers, food processors and retailers. The study identified logistics, supply chain and customer services benefits perceived from implementing IOIS and utilising cybermediaries services in the food supply chain. To conclude the conceptual paper outlined managerial implications and areas for future research.

• IE interfaces
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• v.13 no.3
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• pp.348-357
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• 2000

SCM(Supply Chain Management) is a new approach to satisfy customers via an integrated management for the whole business processes of the manufacturing from the raw material procurement to the product or service delivery to customers. Typically the semiconductor industry is the one whose supply chain network is distributed all over the world, and its manufacturing process has the particular characteristics which has to be considered in the modeling of supply chain. In this paper we suggest the push and pull type supply chain models based on the manufacturing characteristics and their mathematical formulation for the semiconductor industry. Push supply chain model pursuits the high throughput and the balance of the WIP flow, and pull supply chain model does to minimize the total cost of order-based manufacturing, distribution and transportation process in order to meet customer's request appropriately.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.139-148
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• 2009

In a real-life supply chain environment, demand forecasting is usually represented by probabilistic distributions due to the uncertainty inherent in customer demands. However, the customer demand used for an actual supply chain planning is a single deterministic value for each of periods. In this paper we study the choice of single demand value among of the given customer demand distribution for a period to be used in the supply chain planning. This paper considers distributed multi-echelon supply chain and the objective function of this paper is to minimize the total costs, that is the sum of holding and backorder costs over the distribution network under the service level constraint, by using demand selection scheme. Some useful findings are derived from various simulation-based experiments.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.95-116
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• 2012

The purpose of this paper is to show the effect of information sharing strategy on the supply chain performances. While traditional information sharing models assumed centralized stock information, recent supply chain practices often implement fully shared stock information, where real-time stock information is accessible on retailers. When retailers are competing with each other, this fully shared stock information may incur retailers' strategic order behaviors. Thus, this paper analyzes a simple two-level supply chain consisting of one warehouse and two identical competing retailers where the real time stock information is fully shared. The warehouse uses the traditional echelon stock policy. Under this environment the retailers' reorder decisions are derived using the order risk concept and the retailer competition mechanism is analyzed. Computational results show that the supply chain performace degradation in the fully shared stock information is quite significant, implying the importance of designing information sharing strategies in the supply chain design phase.

• Journal of Distribution Science
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• v.20 no.7
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• pp.47-56
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• 2022

Purpose: As the need to transition into the distribution of cleaner energy has garnered corporate and scholarly interests, this study aims to track the research trends in sustainable energy supply chains for five years before 2021. Research methodology: This study was conducted by a bibliometric literature review and analysis to map the field's evolution between 2016 and 2020. Out of an initial title search result of 2,484 papers from the Scopus engine, filtering led to 180 documents obtained. The data was exported in excel format (CSV) to VOSviewer software to generate and analyze network visualization of sustainable energy supply chain trends. Results: The results revealed China's the highest publishing country, with 36 research papers. The Journal of Cleaner Production was the top publishing source, with 22 papers per year. These findings showed five clusters formed in the bibliographic coupling of countries. Circular Economy and Green Supply Chain Management represent the current hot topics. Research gaps identified in the field included limited cross-industry testing and modifying sustainable supply chain models. Conclusion: This paper contributes to the sustainability literature on supply chains by providing an overview of trends and research directions for scholars' and practitioners' consideration in future research.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.371-374
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• 2004

The ultimate purpose of Supply Chain Management (SCM) is maximizing the profits of the overall Supply Chain (SC) through increasing customer satisfaction and decreasing operating cost. It can be successfully accomplished only when SC system balances demands with supply activities coordinated by aggregate planning, mid-term level of Supply Chain Planning(SCP). However, the existing measures to mainly estimate the specific function of SCM are not enough to evaluate the state of SC with respect to the balance between supply and demand in operating. To solve this problem, we develop a new SC performance measure, Balancing Point, using momentum concept. a fundamental knowledge of physics. Momentum concept can explain the relation among objects so that it can consider the balance between supply and demand in SC operating. The developed measure can not only consider the current state of the SC system but also take planned but not executed supply activities and upcoming demands into account. Therefore, using Balancing point, we can be aware of the unbalanced state of SC in advance.

• Journal of Distribution Science
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• v.22 no.7
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• pp.73-82
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• 2024

Purpose: This study aims to identify the assessment criteria on textile and apparel supply chain management performance. Research design, data, and methodology: An integrated method of Delphi, quantitative survey, and ANP, in which Delphi with Kamet principle was applied to define the set of criteria, quantitative survey with reliability and validity test was utilized to ensure the match between the set of criteria and the whole textile and apparel industry, and ANP was used to derive weights of these criteria. Results: The set of supply chain management performance evaluation criteria composes of seven criteria namely order fulfillment quality, agility, costs, asset management, information sharing, innovation, and product development and 19 sub-criteria. Conclusions: This study theoretical contribution is the proposition of the set of evaluation criteria on supply chain performance. Regarding practical contribution, the study findings are guidelines for T&A companies in assessing and improving their supply chain capability. However, the findings are only for Vietnamese T&A context. Future research, therefore, may be expanded to other regions or countries' T&A industry. Additionally, future step to this study may be the utilization of other techniques of MCDM or methodological approaches like multiple regression, PLSSEM in defining weights of criteria or performance evaluation.