• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.464-479
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• 2011

The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM model and related index and choose the quality, human resource and risk management processes for identifying the path to organizational performance. In addition, exploratory factor analysis is conducted for figuring out the major factors among the 3 processes. Structural Equation Model are successively used for determining which characteristics of the infra and processes are the most critical variables to performance. The data was collected from KSA and composed of 52 companies and 346 their partners. The result shows that risk management process has no significant effect on the organizational performance and pre-production process collaboration.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.19-27
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• 2022

This study compares and analyzes wholesale(or price-only) contract, revenue-sharing contract, quantity-flexibility contract, and channel-rebate contract in a decentralized supply chain consisting of one supplier and one retailer. By setting the parameters of each coordination contract based on the previous results, we conduct simulations using @RISK for several combinations of these parameters. Under the supply chain coordination, we evaluate the probability of successfully signing a contract and the participant in favor of each contract. As a result, the quantity-flexibility contracts is most advantageous for the retailer and the channel-rebate contracts is most advantageous for the supplier. It revealed that revenue-sharing contracts can be used more flexibly because they can be selected in the widest range to redistribute profits between supplier and retailer.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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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.

• Journal of Korea Trade
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• v.25 no.3
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• pp.21-47
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• 2021

Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden costs and risks, such as those associated with the COVID-19 pandemic, the trade war between the USA and China, and the ongoing trade dispute between Korea and Japan. To obviate such business failure and prevent critical business blunders, offshoring strategies that efficiently consider both risk elements and potential wealth creation are urgently need. The first purpose of this study is to contribute to the development of more advanced offshoring strategies to help host countries select the best locations to manage supply chain risks and create unique value. The second purpose is to specifically analyze the current status of Korea and provide Korean companies with implications to be considered when deciding whether to offshore or re-shore. Design/methodology - A Network DEA model was applied to measure the comparative location efficiency of national competencies for offshoring strategy from perspectives of wealth creation opportunities (profitability and marketability) and supply chain risk management. The location efficiencies are compared among a total 70 countries selected from the Global Competitiveness Index (GCI) and globally attractive locations outlined by Kearney (2017). For the secondary analysis of efficiency, a t-test examining the nature of competitive advantage and the level of sophistication in production processes was implemented in three divisions. We then analyzed differences in offshoring performance in terms of the identified national traits. Moreover, Tobit regression analysis is conducted to investigate the correlation between value-added business activities and each divisional efficiency, seeking to determine how each degree of value-added business activity influences the increase in offshoring productivity. Findings - Regarding overall location efficiency for offshoring performance, only the USA and Italy were identified as being efficient as host countries for offshoring, under circumstances of advanced development, such as productivity and risk management. Korea ranks 13th among 70 countries. The determinants of national competitiveness depend on national traits (the nature of competitive advantage and business sophistication). Countries with labor/resource advantages and labor-intensive industries are more competitive in terms of marketability than others. In contrast, countries with strong technology-intensive industries benefit offshoring companies, particularly in the technology sector, with the added advantage of supply chain risk management. As the perception of a value chain is broader in a country, it can achieve both production sophistication and competitive advantages such as marketability and SCRM. Originality/value - Existing studies focus on offshoring effectiveness from a company perspective. This paper contributes to comparing country efficiency in producing core competencies related to an offshoring strategy and also segments countries into three performance-based considerations associated with the global offshoring market. It also details Korea's position as an offshoring location according to national efficiency and competency.

• Journal of Korean Society for Quality Management
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• v.38 no.1
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• pp.34-41
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• 2010

This paper proposes the compliance collaboration index(CCI) which can be useful to measure the level of supply chain's compliance collaboration quantitatively. It can be shown that the proposed index is quite flexible when applied in real situations at the request of the index user. For instance, even if only one company of many companies in trade supply chain to be tested through the AEO certification test is not satisfied the required specification. the index is designed in such a way that the score can't be higher than a certain predetermined value. The proposed CCI can be used as the guidance for a trade company's collaboration process control strategy to increase the efficiency of compliance improvement activity. In this paper, we use the Analysis Hierarchy Process(AHP) which is one of the methods recommended by ISO/ICE as a measurement of weight to be assigned to the relevant parameters considered in the CCI.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.54
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• pp.45-80
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• 2012

Since the 9.11 terror attack, the event which caused supply chain disruption, supply chain security has become more important than ever before. With this as a momentum, a customs supply chain security paradigm emerged intended to guarantee secure flow of cargo across boarder. Under this circumstances Incoterms(R) 2010 rules have allocated obligations between the buyer and seller to obtain or to render assistances in obtaining security clearances. Thus, security related obligations such as providing advance manifest information is the mandatory requirements for any export and import. The impact on the seller and buyer of security related obligations under the Incoterms(R) 2010 rules environment is obvious. Assistance to provide the security information in advance has become indispensable obligations to the seller and buyer. As such assistances is at the cost and risk of the party responsible for the clearances of the goods, the choice of recognised partner and compliance with the relevant security program, in order to enjoy the relevant benefits, becomes paramount.

• Korea Trade Review
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• v.47 no.2
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• pp.19-29
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• 2022

This study evaluated the importance of automobile procurement logistics using AHP. Although automobile procurement and logistics is represented by JIT, internal and external risk factors for the automobile and logistics industries are increasing, so it is necessary to re-evaluate them and establish countermeasures. Therefore, this study conducted AHP analysis targeting 30 automobile procurement and logistics experts. Through previous studies and interviews, 4 factors for Tier 1 and 12 factors for Tier 2 were derived. As a result of AHP, the logistics factor was analyzed as the most important and the cost factor was less important than the other factors. This means that supply chain operation is more important than cost, and it is analyzed that stopping all supply chain participants is more damaging than logistics or inventory costs. Such research can provide implications not only for the automotive supply chain but also other industries with similar characteristics, and it is considered to be a meaningful study at the present time when the global supply chain is being reorganized.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.203-209
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• 2014

This research designed and implemented a supply chain risk management platform and applied it to a case study of reduced-fat Lanna pork sausage as a new product development project. The proposed framework has three stages: risk identification, risk assessment, and risk mitigation. Seventeen risk agents with 17 risk events were identified based on SWOT analysis and the Porter Five Forces concept through the process of planning, sourcing, making and delivering, partially captured from the supply chain operations reference model in the first stage. In the second stage, an house of risk (HOR) framework was applied to present the impacts of each risk agent. In the third stage, eight risk agents with high impact were selected to design 21 preventive actions. Finally, three preventive actions with the highest effectiveness to difficulty ratio scores-'sales evaluation of familiar products', 'increasing distribution channels and promotions to improve sales', and 'work flow improvement for work safety'-were then recommended for this new product development.

• Journal of Navigation and Port Research
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• v.36 no.4
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• pp.321-327
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• 2012

Logistics in a supply chain network has become an important operational strategy in a competitive market. A number of internal and external risks involved in the logistics operations in a company tend to create problems in fulfilling customer orders. This research presents how ERM (enterprise risk management) can be used to identify, assess, and control logistics risks. An electronic company's logistics activities were used as an industry case to demonstrate a way to identify and assess risks surrounding global logistics function. This paper has further presented action plans to mitigate the impact of the risks that occur.

• Management & Information Systems Review
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• v.36 no.2
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• pp.187-206
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• 2017

This study empirically investigated the direct and indirect effects of inter-organizational relationships control mechanisms (IRCM; prudent partner selection and complex contract) on the decrease of inter-organizational risks (i.e., relational risk and performance risk). The empirical results showed that prudent partner selection has a positive impact on the degrees of inter-organizational cooperation and the levels of inter-organizational information flow. The effects of complex contract on the inter-organizational cooperation and information flow were not significant. In the results of the decrease of inter-organizational risks, it was observed that inter-organizational cooperation has significant positive effects on the decrease of both relational risk and performance risk. It was found that partner selection only influences the decrease of performance risk. The impact of inter-organizational information flow on the decrease of inter-organizational risks was not statistically significant. The indirect effects of IRCM on the decrease of performance risk through inter-organizational cooperation were also empirically demonstrated. The significant impact of inter-organizational cooperation on the decrease of risks implies that high levels of collaborations among employees decrease the risk of opportunistic behavior as well as the possibility of low degrees of performance through cooperative efforts. According to the results of the effects of risks on supply-chain performance, only the impact of performance risk was negatively significant. This result points out that the low levels of performance cause delays in delivery and product launch, deterred production and delayed market response, and these deteriorated managerial activities necessarily decrease the degrees of supply-chain performance.