• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.101-119
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• 2011

A empirical study investigating firms' attitudes and behaviors regarding of RFID technology within supply chain is very limited. Thus, this study examines the determinants influencing firms' adoption and performance of RFID within the supply chain. Particularly, this study focus on the impacts of the companies' relationship characteristics, including strategic fit, interdependence, compatibility, and long-term orientation affection RFID adoption and performance within the supply chain. Furthermore, the study includes environment uncertainty as a moderating effect between relationship characteristics and RFID adoption. The proposed research model was tested using structural equation modeling from 227 employees. Results of this study support the proposed hypotheses. The implication of this study suggest a new theoretical framework explaining RFID adoption and performance with the supply chain.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.151-154
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• 2006

본 연구는 공급사슬관리하에서 부품 및 원재료 공급기업에서 고객기업인 제조기업의 주문 사항과 공급기업내 생산관련 제약사항을 동시에 고려하여 최적의 생산 체제를 구축할 수 있는 방법론을 제시한다. 본 연구에서는 수주 및 비용 데이터베이스로부터 주문 및 생산관련 데이터를 SOM 신경망분석을 통해 그룹핑하고 고객기업군별로 특성분석을 통해 이에 맞는 생산체제를 구축할 것을 제안하였다. 공급사슬관리 환경하에서 원재료/부품 공급기업이 고객기업의 주문 요구와 내부 생산상의 제약을 동시에 고려함으로써 SCM 적용 성과를 극대화할 수 있다는 점에서 본 연구는 의미가 있다.

• Journal of the Korea Society for Simulation
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• v.24 no.1
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• pp.1-8
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• 2015

This research focuses on the method of inventory management to find out the best way in various SCM. There are several comparable methods of inventory management like Min-Max, regular interval, fixed target inventory that have different lead-time and demand for each product. Also, the inventory performances between the case of three-stages and two-stages in SCM are analyzed. 8 scenarios for the simulation are suggested considering order ways and stages. Input data for the simulation is from the result of the previous studies and actual data in the market. The performance measurements are selected as sales revenue, total number of sales, total delivery cost, total inventory shortages, the number of inventory shortage occurrence, the loss for inventory shortages, average inventory, handling cost, net profit. According to the results of the simulation, fixed target inventory management is better than existing inventory management method by net profit and inventory and so on. Also, it was confirmed that the increase in profit is obtained when SCM stages is reduced from three-stages to two-stages in existing SCM. The result of the research provides significant meaning that newly introduced target inventory management system shows good performance and SCM performance can be improved by reducing the stages.

• Korea Logistics Conference
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• v.13 no.1
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• pp.179-193
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• 2005

• Korean Chemical Engineering Research
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• v.46 no.4
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• pp.792-798
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• 2008

Supply chain management (SCM) has been drawn increasing attention in industries and academia. The attention is mainly due to a need to integrate the multiple activities in a process network from the overall perspective under the constantly varying economic environment. While many researchers have been addressing various issues of SCM, there is not much research explicitly handling the overall dynamics of supply chain entities from PSE literature. In this two-part series paper, it is investigated how the overall supply chain processing times vary in response to the variation of individual entities using Monte Carlo simulation. Instead of figuring out the operation levels of individual entities, the overall operation time called TAT(Turn-Around-Time) is proposed as a performance indicator. An example of 7 entity-supply chain is presented to illustrate the proposed methodology.

• The KIPS Transactions:PartD
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• v.19D no.3
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• pp.257-262
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• 2012

The aim of this study is to present the importance of Risk Management and Risk Classification System in Supply Chain to cope with the rapidly changing distribution environment flexibly through the cooperation between a shipper and a distribution company. First of all, we considered existing studies related to the risks of Supply Chain Risk and analyzed 47 different risk factors by 18 kinds of risk causing factors. Second, we collected opinions of corporation specialist group based on the analyzed risk factors and then classified the risk factors into three categories and ten sub-categories. Third, we conducted a survey targeting shipping companies and distribution companies about classified risk and then verified the validity of Supply Chain Risk Classification using verification techniques such as Confirmatory Factor Analysis, Concentration Validity and Distinction Validity. Finally, we suggest some implications based on the verification results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.553-554
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• 2018

Supply Chain Management (SCM) is the overall process (component procurement, production planning, delivery, inventory control, etc.). It is the process from the supplier to the consumer until the raw material becomes the finished product. Basically, traditional supply chain management is primarily aimed at cost reduction and efficiency. However, considering only cost reduction and efficiency, it is not easy apply the center of 4th industry to Smart Factory. In this study, I propose a form of supply chain management network. It can be satisfy the security by using block chain and automatic control of each element by adding the internet of things.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.1
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• pp.89-95
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• 2006

Planning distributed manufacturing logistics is one of main issues in supply chain management. This paper proposes a hybrid heuristic approach for the Multi-Level, multi-item Capacitated Lot Sizing Problem (MLCLSP) in supply chain network. MLCLSP corresponds to a mixed integer programming (MIP) problem. With integer variable solutions determined by heuristic search, this MIP problem becomes linear program (LP). By repeatedly solving the relaxed MIP problems with a heuristic search method in a hybrid manner, this proposed approach allocates finite manufacturing resources fur each distributed facilities and generates feasible production plans. Meta heuristic search algorithm is presented to solve the MIP problems. The experimental test evaluates the computational performance under a variety of problem scenarios.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.51-58
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• 2012

The goal of this paper is to set up the rank list of the critical success factors according to its weights. To get the empirical data for this research, the Internet-based questionnaires were performed. This research is carried out in two steps. At first step, the critical success factors(CSF) are crystallized through factor analysis methods. To find out the weights and ranks of critical success factors in second step, the analytical hierarchical process(AHP) method were performed. The order list of all CSFs will be determined according to their priorities. This order list shows which factors have the most useful influence on the performance and success of SCM. This result could play the role as milestone for the effective management of Supply Chain Management System in korean manufacturing company.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.450-458
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• 2002

본 연구에서는 신발산업을 대상으로 하여 전략적 공급사슬 프레임워크를 제안하였다. 신발산업(Footwear Industry)은 자연 여건 또는 악천후로부터 발을 보호하기 위하여 사용되는 구두, 운동화, 평상화 실내화, 슬리퍼 등을 제조하거나 판매하는 산업을 말하며, 일반적으로 신발 완제품의 제조산업과 주 구성품인 창(Sole), 갑피(Upper) 등을 제조하는 부품 제조산업으로 크게 분류된다. 신발산업은 한때 국내의 대표적인 수출상품이었으나 1990년대부터 쇠퇴기로 접어들었으며, 최근에 신발산업이 패션산업으로 부각되면서 지방자치단체의 전략산업으로 육성되고 있다. 본 연구에서는 신발산업의 체계적인 공급망 관리를 위한 기초 연구로서 전략적인 관점에서 신발산업의 공급사슬을 분석하고, 이를 바탕으로 전략적 공급사슬 프레임워크를 제안하고자 한다.