• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.9-21
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• 2004

Semiconductor industry is the one whose supply chain network is distributed all over the world. And it has different characteristics with other manufacturing industries as reentrancy, binning, substitution. In this paper, we suggest supply chain models for the semiconductor industry, consisting of production and distribution chains, where manufacturing characteristics are considered. Three policies for the production chain and two policies for the distribution chain are suggested and formulated mathematically. Six combination policies are tested for the evaluation of performances with example. It is shown that the supply chain is operated, if production and distribution are coordinated and managed based on the demand information, without inventory, as efficiently as the chain with inventory.

• Korean Management Science Review
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• v.14 no.1
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• pp.151-176
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• 1997

This study addresses strategic issues related to the question of" how can a supply chain become more competivity\ulcorner" We examine several cases of manufacturing supply chains. Results show that each constituent firm is required to maintain different manufacturing capabilities and to play different roles by its position (up/mid/down-stream) in a chain. Furthermore, there are patterns of required capabilities by the positions in a chain. These findings imply that the "position in a chain" should be treated as one of the strategic factors when discussing the buyer-seller relationship. It is also shown that different action programs are required for building different manufacturing capabilities of individual firms in a supply chain. Additionally, we argue that some programs need to be done simultaneously, by all the members of the chain, while some need to be carried out by only a small group or an individual firm. Finally, we propose a direction for a theoretical framework for analyzing supply chain structures and strategies.ures and strategies.

• Journal of the Korea Society for Simulation
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• v.10 no.1
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• pp.35-50
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• 2001

Managing multi-echelon inventory systems has gained importance over the last decade mainly because integrated control of supply chains consisting of several processing and distribution stages has become feasible through modern information technology. Determination of optimal inventory policy for multi-echelon supply chain is made difficult by the complex interaction between the different levels. In this paper, we investigate performance of five inventory policies (fixed quantity order policy, fixed interval order policy, compromised order policy, lead time-fixed quantity order policy, and mixed order policy) in a multi-echelon supply chain by using a simulation model constructed with AweSim simulation language. The results of the simulation study show that the mixed order policy is the best among five inventory policies in the most test problems except the case when the stockout cost per unit is much higher than the inventory holding and transportation costs per unit.

• The Journal of Information Systems
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• v.14 no.3
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• pp.31-36
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• 2005

Firms seldom survive and prosper solely through their individual efforts. Each firm's performance depends upon the activities and performance of others and hence upon the nature and quality of the direct and indirect relationships a firm develops with its counterparts. Textile companies have tried to improve their organizational competitiveness in order to survive in the digital age global market. The challenge in textile supply chain management is the development of collaboration network which accommodates diverse concerns of various participants while explicitly recognizing interdependencies and promoting effective relationship management. Major contents of the study are as follows. First, ideal collaboration network model from the supply chain of the textile industry is suggested. Second, utilizing the collaboration model, A framework for textile e-marketplaces supply chians is designed to improve customer services and delivery time, to promote information sharing, and shorten product life cycle time. The framework suggested is expected to promote corporate innovation and information sharing, generate infrastructure which provides appropriate communication and operations capabilities for the textile companies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.909-916
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• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.11a
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• pp.131-167
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• 2000

Top CEO Priorities 1. Increasing Globalization(94%) 2. Improving Knowledge Management(88%) 3. Reducing Cost and Cycle Time(79%) 4. Improving Supply Chains Globally(78%). "Personally, I believe that future leadership companies and future leadership institutions of all kinds will be those that know how to compete and win on the basis of knowledge-learning, adapting and improving this vital asset we know as information."(omitted)

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.5
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• pp.718-732
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• 2014

This study investigates the effects of two organizational variables (market orientation and organizational innovativeness) and the interaction between these two variables on supply chain agility as well as examines the moderating effect of 1) firm size and 2) the extent of global sourcing. Employing a web-based e-mail survey method, the study issued 1,320 questionnaires to South Korea apparel manufacturing companies; data from 147 completed surveys were analyzed. Market orientation, organizational innovativeness, and the interaction between the two variables positively affect supply chain agility. Firm size and global sourcing do not have any significant moderating effects on the relationship between organizational characteristics and supply chain agility. Companies with high market orientation and high organizational innovativeness have more agile supply chains than companies with only market orientation or organizational innovativeness. Firms need to effectively enhance market orientation and organizational innovativeness simultaneously to enhance supply chain agility. The lack of a moderating effect from firm size suggests that all companies should promote a greater degree of market orientation and organizational innovativeness to enhance supply chain agility regardless of firm size.

• Food Science of Animal Resources
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• v.33 no.4
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• pp.463-473
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• 2013

Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

• The Journal of Bigdata
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• v.1 no.2
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• pp.65-78
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• 2016

In the rapid change of business environment, it is crucial that several companies with core competence cooperate together in order to deliver competitive products to the market faster. Thus a lot of companies are participating in supply chains and SCM (Supply Chain Management) become more important. To efficiently manage supply chains, the analysis of data from SCM systems is required. In this paper, we explain how to analyze SCM related data with process mining techniques. After discussing the data requirement for process mining, several process mining techniques for the data analysis are explained. To show the applicability of the techniques, we have performed a case study with a company in South Korea. The case study shows that process mining is useful tool to analyze SCM data. On specifically, an overall process, several performance measures, and social networks can be easily discovered and analyzed with the techniques.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.9-20
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• 2022

Supply chain attacks target critical infrastructure, causing large amounts of damage and evolving into a threat to public safety and national security. Accordingly, when establishing cybersecurity strategies and policies, supply chain risk management is specified to enhance security, and the US Biden administration recently issued the Executive Order on Improving the Nation's Cybersecurity, SBOM was mentioned as part of the guidelines for strengthening software supply chain security. If the government mandates SBOM and uses it as a security verification tool for supply chains, it can be affected by the domestic procurement system in the future and can be referenced when establishing a security system for domestic supply chains according to the progress of policy implementation. Accordingly, in this paper, countries that are promoting the SBOM policy as a way to strengthen the security of the software supply chain were selected and analyzed with a focus on related cases. In addition, through comparison and analysis of foreign SBOM policy trends, methods for using domestic SBOM in terms of technology, policy, and law were considered. As the value of using SBOM as a supply chain integrity/transparency verification tool is expected in the future, it is necessary to continuously identify trends in the establishment of international standardization and policy development for SBOM and study the standard format.