• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.305-308
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• 2007

In this paper we suggest an efficient evolutionary approach based on topological sort techniques for precedence constrained TSPs. The determination of optimal sequence has much to offer to downstream project management and opens up new opportunities for supply chains and logistics. Experimental results show that the suggested approach is a good alternative to locate optimal solution for complicated precedence constrained sequencing as in optimization method for instance.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.325-328
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• 2003

Fierce competition in today's global markets, the heightened expectation of customers have forced business enterprises to invest in, and focus attentions on, their Supply Chains, Also Cross Docking is an essential part of SC, and integrating Cross Docking with vehicle routing scheduling is needed to smoothly link the physical flow of SC, However, there is no the mathematical model which focuses on Cross Docking with vehicle routing scheduling. Therefore, the integrating model considers Cross Docking and vehicle routing scheduling will be developed in this paper. And the solution based on Tabu algorithm to this model will be provided.

• 디지털융복합연구
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• 제18권6호
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• pp.109-120
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• 2020

디지털화가 수반되지 않는 공급망은 마케팅, 상품개발, 제조, 물류 및 고객에의 상품 인도라는 여러 단계가 서로 독립적으로 수행되는 과정에 불과하다. 디지털화는 이런 여러 단계 간의 벽을 허물고, 모든 이해관계자 집단에게 투명하고 통합된 네트워크로의 변신을 가능하게 한다. 디지털 공급망관리의 최종 목표는 속도와 가시성이다. 이를 목표 달성을 위해서는 다양한 공급망 테크놀러지가 요구되는데, 여기에는 통합계획수립 및 운영체계, 공급망 애널리틱스, 자율적 물류관리, 스마트 물류센터와 스마트 팩토리 등이 포함된다. 이런 기술들은 예상치 못한 운영조건의 변동사항에 대한 가상 시나리오를 구축하고 이에 대한 솔루션을 제공함으로써 공급망 상의 변동에 대응할 수 있는 역량과 예측력을 강화시킨다. 본 연구에서는 공급망의 디지털화에 대한 여러 연구결과를 제시하고 현실적으로 기술도입 과정에서 제기되는 여러 이슈에 대한 논의를 시도해 보고자 한다. 연구결과에 대한 시사점도 함께 제시한다.

• 한국항만경제학회지
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• 제29권4호
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• pp.201-222
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• 2013

본 연구는 다국적 기업들이 그들의 글로벌 공급사슬을 얼마나 지식이라는 전략적 자원에 기초하여 조직하고 운영하고 있는지, 그리고 지식을 지향하는 공급사슬관리가 기업의 글로벌 공급사슬관리 성과에 어떠한 영향을 미치는지를 분석하는데 목적을 두고 있다. 이를 위해 Nonaka(1994) 등이 제시한 지식창조 프로세스를 적용하여 지식지향 글로벌 공급사슬관리의 개념을 구체화하는 측정모형을 제안하였으며 기업의 지식경영 시스템과 지식창조 프로세스가 기업의 글로벌 공급사슬관리 성과에 어떠한 영향을 미치는지를 실증적으로 분석하였다. 113개의 다국적 기업을 대상으로 한 실증분석을 통해 본 연구에서 제안한 측정모형의 타당성과 신뢰성을 검증하였다. 또한 표본 기업들을 글로벌 공급사슬관리에 있어서의 지식지향 수준에 따라 군집화하여 비교분석한 결과, 글로벌 공급사슬상에서 창출되는 지식을 효과적으로 관리하는 기업들이 글로벌 공급사슬관리 성과에 있어서도 전반적인 우위를 나타내는 것으로 분석되었다.

• 대한산업공학회지
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• 제37권4호
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• pp.323-330
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• 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.

• 수산경영론집
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• 제41권3호
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• pp.59-78
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• 2010

This paper tries to apply the asymmetrical price transmission(APT) behavior observed in the agricultural industry to supply chains of the domestic fishery industry by a statistical manner. The fore mentioned asymmetrical price transmission refers to when price movements in the later stage of the supply chain do not move in a normal or symmetrical manner corresponding to price movements in the earlier stage of the supply chain. Therefore, when the earlier stage price increase and the later stage price increases to a larger degree, it is called positive(+) asymmetry and the opposite behavior is called negative(-) asymmetry. The study examines the data from domestic producers of three fresh fish types, hairtail, mackerel, and cuttlefish, and tries to examine the price asymmetry between the producer or farm, wholesaler, and retail prices via an APT test utilizing unit root, cointegration, and error correction model. The study found, hairtail wholesale and retail pricing bas a negative asymmetric relationship while mackerel has a negative asymmetric pricing relationship at the producer and retail levels of the supply chain. In the case of cuttlefish, all levels of the supply chain showed negative asymmetrical behavior in the supply chain price transmission, meaning the earlier stage price changes are more rapidly and greatly inputted in the later stage of the supply chain pricing. We believe that the reason why the analysis results show negative price asymmetry is due to the uniqueness of fishery products having an important variable such as freshness. If price increases are greater and quicker than price decreases, then consumer demand, which is sensitive to price increases will decrease and subsequently result in the increase of inventory levels, reducing profits for retailers. Also, frozen hairtail, mackerel, and cuttlefish will act as substitute goods to fresh fishery products. Therefore, fresh fishery products have a high demand of price elasticity. When prices increase, demand quickly decreases. Therefore the profit of wholesalers and retailers to decrease, I think this is the main reason of APT in the supply chain of Korea' s fisheries industry.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.37-50
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• 2022

Modern supply chains include multiple activities from collecting raw materials to transferring final products. These activities involve many parties who share a huge amount of valuable data, which makes managing supply chain systems a challenging task. Current supply chain management (SCM) systems adopt digital technologies such as the Internet of Things (IoT) and blockchain for optimization purposes. Although these technologies can significantly enhance SCM systems, they have their own limitations that directly affect SCM systems. Security, performance, and scalability are essential components of SCM systems. Yet, confidentiality and scalability are one of blockchain's main limitations. Moreover, IoT devices are lightweight and have limited power and storage. These limitations should be considered when developing blockchain-based IoT-SCM systems. In this paper, the requirements of efficient supply chain systems are analyzed and the role of both IoT and blockchain technologies in providing each requirement are discussed. The limitations of blockchain and the challenges of IoT integration are investigated. The limitations of current literature in the same field are identified, and a secure and scalable blockchain-based IoT-SCM system is proposed. The proposed solution employs a Hyperledger fabric blockchain platform and tackles confidentiality by implementing private data collection to achieve confidentiality without decreasing performance. Moreover, the proposed framework integrates IoT data to stream live data without consuming its limited resources and implements a dualstorge model to support supply chain scalability. The proposed framework is evaluated in terms of security, throughput, and latency. The results demonstrate that the proposed framework maintains confidentiality, integrity, and availability of on-chain and off-chain supply chain data. It achieved better performance through 31.2% and 18% increases in read operation throughput and write operation throughput, respectively. Furthermore, it decreased the write operation latency by 83.3%.

• 한국콘텐츠학회논문지
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• 제21권2호
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• pp.121-129
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• 2021

본 연구에서는 데이터마이닝(Data Mining) 기법 중 하나인 연관관계분석(Association Rule Mining)을 적용하여 위험화물 선별모델을 구축함으로써 관세위험을 최소화하고자 한다. 이를 위해 관세청 수입신고서 빅데이터를 활용하여 연관관계분석 알고리즘인 어프라이어리 알고리즘(Apriori Algorithm)을 적용하고 공급망 간의 위험정도를 계산한다. 대규모의 수입신고 데이터로부터 해외공급자와 수입업체 간의 세율관련(과세가격, 품목, 중수량 등), 원산지표시 위반 등에 관련한 적발결과 관한 규칙셋(Rule Set)과 이 규칙들의 신뢰도(Confidence)을 확보하여 우범공급망 간의 거래패턴을 예측할 수 있는 선별모델을 구축한다. 총 2년 6개월 치의 수입신고 데이터를 활용하여 5-겹 교차검증(5-fold cross validation)을 수행한 결과 16.6%의 Precision과 33.8%의 Recall을 보였다. 이는 빈도기반 방법보다 Precision 기준 약 3.4배 Recall 기준 약 1.5배 높은 결과이다. 이로써 논문에서 제안하고 있는 방법이 관세위험을 줄일 수 있는 효과적인 방법임을 확인하였다.

• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.175-187
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• 2004

Many companies have integrated their internal processes with the aid of information technology. Now the focus is on interconnecting trading partners. Collaborative commerce (also known as c-Commerce) has a key role. It is not just about making it easier for business to communicate. It is about by breaking down barriers along the entire length of the supply chain. Some c-Commerce links are permanent, others get established when and where they are needed. c-Commerce is helping business in electronic supply chains to improve product delivery while cutting costs, to strengthen relationships and to reduce lead time. In this paper, we propose the concept of collaborative commerce, and design and implement Collaborative Commerce Portal (CCP) system of small and medium enterprise for marketing support. The technical definition of CCP is set of all technical elements can do collaborative commerce between small and medium enterprises with Internet or Internet. The target information of CCP includes usual and unusual information and all other information of companies used as process events. Through this, it enhances efficiency of business processes, core information sharing and marketing activation.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.21-22
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• 2015

Productivity has been a wide-ranging challenge for the construction industry, both in Australia and globally. Particularly in Western Australia's construction and resources sectors, continuously low productivity will potentially discourage future investments. The emergence of the global marketplace necessitates that the supply chain needs to focus on the concept of the holistic efficiency. The isolated geographical position of Australia only exacerbates this phenomenon. In recent years, Building Information Modelling (BIM) has been suggested as an efficient way to help productivity improve and information management throughout supply chains. This keynote talk will focus on discussing ways of implementing BIM to enhance site productivity focusing on Western Australia's construction projects. It will show new trends of its applications to accomplish an innovative way in construction project management. The talk will also give an insightful summary of integrated methods with state-of-the-art technologies backboned by the BIM cases from construction and oil and gas industry projects.