• Journal of Distribution Science
• /
• v.19 no.11
• /
• pp.59-68
• /
• 2021

Purpose: The Covid-19 pandemic has had excessively severe impacts on all the nodes and edges of any supply chain due to changes in consumer behaviours and lockdown restrictions from governments among countries. This article aims to provide a simulating experiment on how a supply chain deals with supply disruption risks by flexibility in the inventory level of each sector as a buffer considering the overall cost to fulfil demand in the market. Research design, data and methodology: Agent-based simulation techniques are used to determine the cost-efficiency and customer waiting time related to varying inventory levels of each member in the supply chain when using inventory buffers. Findings: This study has shown that any sudden changes in the inventory level of each sector are likely to impact the rest of the supply chain. Among all sectors, the wholesaler will be impacted more severely than others. Also, the manufacturing sector is the most suitable node to adjust inventory depending on its manufacturing ability. Conclusion: The findings of the study provide insightful implications for decision-makers to adjust inventory levels and policymakers to maintain manufacturing activities in the context of the pandemic restrictions to deal with the excessive demand and potential supply disruption risks.

• Journal of Information Technology Services
• /
• v.8 no.4
• /
• pp.115-128
• /
• 2009

In today's changing environment where the product life-cycle is becoming shorter, enterprises are forced to introduce new products as rapidly as possible and to score a success in a market. It is important to manage suppliers who supply parts of the new products to satisfy variable demands. We suggest performance measures of flexibility for suppliers in new products environments. We analyzed the measures from literatures, SCOR (Supply Chain Operations Reference) model and several scorecards. A simulation study was made with the measures in order to understand adaptability of a supply chain. It could help a manufacturer make a decision of purchasing and find a bottleneck supplier.

• Journal of Distribution Science
• /
• v.9 no.2
• /
• pp.61-72
• /
• 2011

The object of this research is to examine the factors leading to intercompany win-win by finding the antecedents and consequences that affect a supplier's fairness perception. We assume that the antecedent factors of a supplier's fairness perception are vertical coordination, cooperation support, information sharing, and legalistic plea. We assume that the consequential factors of a supplier's fairness perception are supply chain dependence and supply chain flexibility. The object industry is an electronic parts manufacturing company. We tested our model by using the SPSS 17.0 and the LISREL 8.5. For measurement validation, we verified by using a confirmatory factor analysis and a reliability analysis. For hypothesis analysis, we did a path analysis with the LISREL 8.5. By checking the modification index and expecting parameter changes, we modified the model. First, the buyer's vertical coordination had a positive effect on the supplier's distributive fairness perception and procedural fairness perception. Second, the buyer's cooperation support had no effect on the supplier's distributive fairness perception and procedural fairness perception: we suppose that the buyer's requests were burdensome, although they cooperated with the supplier. Third, the buyer's information sharing had a positive effect on distributive fairness perception but had no direct effect on procedural fairness perception. Fourth, the buyer's legalistic plea had a negative effect on the supplier's distributive fairness perception. and a negative effect on the supplier's procedural fairness perception at a 0.1 significance level. Fifth, although procedural fairness perception had no direct effect on supply chain dependence, fairness perception had an effect on supply chain dependence and supply chain flexibility both directly and indirectly.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.3
• /
• pp.122-134
• /
• 2020

As globalization has been progressed, companies faced a situation in which it was difficult to secure global competitiveness only with their internal management systems. To overcome this, Supply Chain Management (SCM) emerged, which optimizes the whole supply chain process from suppliers to demand companies. In this study, it was analyzed that the effects of customer integration among the integration factors of SCM, and market orientation among the strategic orientations on management performances such as non-financial performance and financial performance through a mediating role of flexibility. At this time, it was analyzed whether CEO's support has a moderating effect on the influence of the market orientation. As a result of analysis, the customer integration was found to have an indirect effect on the non-financial performance and the financial performance through the flexibility. The market orientation was found to have a direct effect on the non-financial performance and at the same time, indirectly affected it through the flexibility. In addition, it was shown that more the level of CEO's support, higher the influence of the market orientation. This moderating effect had an indirect effect on the financial performance. Based on the above findings, various implications for improving management performance were proposed. This study suggests that investments in computerization such as ERP and smart factories can improve supply chain management performance and ultimately improve customer satisfaction and financial performance.

• Journal of Digital Convergence
• /
• v.12 no.6
• /
• pp.93-103
• /
• 2014

The rapid trends toward outsourcing have created more complex and fragmented multi-tier supply chains for Engineering, Procurement & Construction(EPC) industry. Working with suppliers and sub-suppliers requires continuous integration activities during project execution. The purpose of this study is to identify the factors influencing the performances and relationship satisfaction of second-tier suppliers participating in the project-based supply chain. This study proposes the network embeddedness, collaboration, information-sharing and flexibility as antecedents variables, and collected the survey responses from the second-tier suppliers having experiences with complex projects. The statistical results indicate that the collaboration with supply chain leading firm and first-tier supplier has significant impact on the performances and relationship satisfaction of second-tier suppliers. It was also found that the information-sharing and flexibility influence the network embeddedness as well as collaboration, and that the embeddedness have significant impact on the collaboration.

• Journal of the Korean Society for Railway
• /
• v.9 no.6 s.37
• /
• pp.664-670
• /
• 2006

This Research aims to analyze the effects of SCM management capabilities and IT capabilities on firm performance. The strategic performance was shown to be positively and significantly affected by flexibility and responsiveness which were proxies for SCM management capabilities. However, neither main effect of IT capability nor interaction effects of IT capability and SCM management capability on firm performance was found.

• Journal of Korean Society for Quality Management
• /
• v.34 no.2
• /
• pp.107-121
• /
• 2006

In spite of the increase of the necessity and the interest regarding the SCM in practical business, it is difficult to judge the whole situation of the SCM because the research remain fragmentary as compared with the huge and complicated concept of the SCM. So this study defines dimension of SCM practice and measurements of SCM performance. Through an extensive literature review, the study Identifies seven dimension of SCM practice(partnership, usage of IT tools, information sharing and information quality), five measurements of SCM performance(supply chain flexibility, supply chain integration, customer responsiveness, supplier performance, and partner relationship). Five hypotheses were formulated for the relationship between SCM practice and SCM performance. The important relationships to be tested include ; (1) the direct impact of usage of IT tools on the partnership (2) the direct impact of partnership on the information sharing and information quality (3) the direct impact of SCM practice on the performance of SCM, (4) A moderating effect of top management support on the relationship between SCM practice and SCM performance.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.05a
• /
• pp.159-166
• /
• 2006

The aim of synchronization of production and transportation planning in the supply chain is to increase the flexibility and to decrease various costs. The suggested model in this study synchronizes the timing to supply to a downstream manufacturer directly after production and to be consumed in a downstream manufacturer right after receipt. This model deals with the frequent delivery in small amount which is a new trend of the transportation not governed the economy of scale principle. Moreover, various types of transportation governed by the economy of scale principle or not are considered. Then, the two-phase mathematical model is suggested to obtain optimal job sequence and production quantity for each tasks. But, it is difficult to gain optimal solutions if there is a transportation governed by the economy of scale principle in the supply chain, or the size of the problem is increased. Thus, heuristic algorithms based on simulated annealing and genetic algorithm are suggested to find good solutions in the reasonable time.

• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.4
• /
• pp.323-330
• /
• 2011

Globalization of market and diversification of customers' needs make enterprises to collaboration of participants in supply chain. To establish collaboration, supply chain must have the flexibility and reconfigurability, which are supported by fractal based supply chain management (FrSCM). In this paper, base on the FrSCM, formulation of trust model among the enterprises in the supply chain, and development of profit sharing strategies in the supply chain based on the trust model are investigated. To evaluate trust model, generation of enterprise's goal and its description, extraction and systematic composition of trust factors and trust evaluation are investigated. Based on the developed model, we developed the fuzzy inference engine to evaluate the trust value in terms of numerical value. And then revenue sharing strategies are developed based on the fractal concept and trust model for the collaborative SCM. The fractal concept is used to obtain the optimal production and transportation plans. In addition, the trust model will be integrated into the RS model. In such an RS model, the supply chain will obtain the maximum total profit and profit of each participant depends on its trust value.

• Industrial Engineering and Management Systems
• /
• v.11 no.2
• /
• pp.155-164
• /
• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.