• 산경연구논집
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• 제14권9호
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• pp.21-30
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• 2023

Purpose: Focusing on the role of the special contract to collaborate the supply chain operations, this study investigates how the revenue sharing contract affects the performance of Vendor Managed Inventory (VMI). Research design, data, and methodology: The optimization model is formulated to represent two stage supply chain system where the supplier and retailer manage the operations to maximize their own profits. Three supply chain models including the traditional system, VMI, and VMI with revenue sharing contract are compared in the numerical examples. Results: According to the numerical analysis, the entire supply chain system has greater profit under VMI than the traditional system, while VMI alone sacrifices the supplier's profit. With the proper sets of revenue share ratio and wholesale price discount rate, VMI with revenue sharing contract results in the increased profit for both supplier and retailer compared with VMI alone as well as the traditional system. Conclusions: The numerical examples imply that VMI, when it is combined with the revenue sharing contract, can be the effective collaboration program that satisfies every supply chain member. To make VMI with revenue sharing contract to be fair to all supply chain members, they need to agree on the appropriate contract content.

• 산경연구논집
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• 제14권6호
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• pp.17-25
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• 2023

Purpose: This study observes how the consignment performs over time and proposes the proper way to operate the consignment to bring its best benefit to the supply chain system. Research design, data, and methodology: The supply chain system is represented as the mathematical model where a manufacturer and a retailer trade one type of products to maximize their own profits. In the numerical examples of the proposed models, the consignment is compared with the fully coordinated system as well as the traditional system, and both advantages and limitations of the consignment are detected. Results: The consignment makes greater profit than the traditional system after a certain time period. The consignment is still outperformed by the fully coordinated system. The numerical examples also show that the performance of the consignment is sensitive to the consignment ratio. Conclusions: This study finds out that a certain time period must be spent until the consignment brings the benefit to the supply chain system. The numerical outcomes also imply that the consignment requires additional features to be a completely effective supply chain collaboration program. To obtain the best result from the consignment, the supply chain members are recommended to decide the appropriate consignment ratio by consent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1600-1619
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• 2023

Organizations and other institutions have recently started using cloud service providers to store and share information in light of the Internet of Things (IoT). The major issues with this storage are preventing unauthorized access and data theft from outside parties. The Block chain based Security Sharing scheme with Data Access Control (BSSDAC) was implemented to improve access control and secure data transaction operations. The goal of this research is to strengthen Data Access Control (DAC) and security in IoT applications. To improve the security of personal data, cypher text-Policy Attribute-Based Encryption (CP-ABE) can be developed. The Aquila Optimization Algorithm (AOA) generates keys in the CP-ABE. DAC based on a block chain can be created to maintain the owner's security. The block chain based CP-ABE was developed to maintain secures data storage to sharing. With block chain technology, the data owner is enhancing data security and access management. Finally, a block chain-based solution can be used to secure data and restrict who has access to it. Performance of the suggested method is evaluated after it has been implemented in MATLAB. To compare the proposed method with current practices, Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) are both used.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.157-158
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• 2021

공급망의 빅데이터는 주로 네 가지 측면에서 발생된다. 하나는 생산 장비 품질 데이터, 계획된 조달 데이터, 제품 데이터 등과 같은 공급망에서 기업의 제품 가치 이전 과정에서 불가피하게 생성되는 관련 데이터이고, 두 번째는 공급망에 있는 다양한 회사의 ERP 데이터에서 파생된다. 세 번째는 고객의 전자 상거래 데이터이고 마지막은 외부 또는 수동으로 입력한 데이터의 데이터이다. 따라서 본 연구를 통해서 공급망 운영 과정에서 재고를 예측하고 제어하기 위해 타사 데이터 서비스 센터 분석 및 데이터 마이닝. 그것은 여러 측면에서 전체 공급망에 혁신과 관리 기술 및 사고방식의 변화를 가져오고 마침내 전체 공급망의 재고 조정 및 제로 재고 목표를 달성하게 된다.

• 한국프랜차이즈경영연구
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• 제8권2호
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• pp.5-16
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• 2017

Purpose - This study empirically analyzes the effects of social responsibility activities (legal, charitable, environmental, ethical) of franchised chain hotels on customer value and SNS citizenship behavior. Furthermore, this study examines mediating role of customer value on SNS citizenship behavior. Design, data, and methodology - A survey was conducted on customers residing in Korea who had visited the franchised chain hotels in Seoul, Gyeonggi, and other regions, over a period of three months (from October 1, 2016 to December 31, 2016). There were a total of 426 valid samples, and the hypotheses were tested through hierarchical analysis. Results - First, among the social responsibility activities of franchised chain hotels, all four factors of legal, charitable, environmental, and ethical responsibilities had a statistically significant positive effect on customer value. Second, among the social responsibility activities of franchised chain hotels, all four factors had a statistically significant positive effect on SNS citizenship behavior. Third, customer value had a statistically significant positive effect on SNS citizenship behavior. Conclusions - Since social responsibility activities are utilized as a means of direct marketing, for creating and selling images of products and services of franchised chain hotels, it is necessary to become a fixed form of corporate culture.

• Industrial Engineering and Management Systems
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• 제3권1호
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• pp.38-51
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• 2004

Over the years, most or many companies have focused their attention to the effectiveness and efficiency of their business units. As a new way of doing business, these companies have begun to realize the strategic importance of planning, controlling, and designing their own supply chain system. This paper analyzes the coordination issues in supply chains that consist of one manufacturer and multiple retailers operating under uncertain end customer demand and delivery lead-time. We use the Genetic Algorithm (GA) to determine the appropriate ordering and inventory level at which the manufacturer and multiple retailers can maximize the profit of the chain. This is performed under three controlling policies: the traditionally centralized controlling policy under the manufacturer's perspective, the entire chain’s perspective, and lastly the coordinating controlling policy with an incentive scheme. The outcome from the study reveals that the coordinating controlling policy with an incentive scheme can outperform the traditional centralized controlling policies by creating a win-win situation in which all members of the chain benefit from higher profit, thus resulting in more willingness from all members to join the chain.

• Journal of Information Processing Systems
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• 제20권2호
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• pp.215-225
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• 2024

With the rapid development of Internet of Things (IoT) and big data technology, a large amount of data will be generated during the operation of related industries. How to classify the generated data accurately has become the core of research on data mining and processing in IoT industry chain. This study constructs a classification model of IoT industry chain based on improved random forest algorithm and text analysis, aiming to achieve efficient and accurate classification of IoT industry chain big data by improving traditional algorithms. The accuracy, precision, recall, and AUC value size of the traditional Random Forest algorithm and the algorithm used in the paper are compared on different datasets. The experimental results show that the algorithm model used in this paper has better performance on different datasets, and the accuracy and recall performance on four datasets are better than the traditional algorithm, and the accuracy performance on two datasets, P-I Diabetes and Loan Default, is better than the random forest model, and its final data classification results are better. Through the construction of this model, we can accurately classify the massive data generated in the IoT industry chain, thus providing more research value for the data mining and processing technology of the IoT industry chain.

• 산업진흥연구
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• 제9권2호
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• pp.207-221
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• 2024

자동차 제조업은 에너지 소비가 많고, 오염물질을 많이 배출하는 전통적인 제조업으로 공급망의 디지털 전환을 통해 환경성과를 향상시킬 필요가 있다. 본 연구에서는 공급망의 디지털전환, 공급망 동적 역량 및 기업 환경성과를 바탕으로 13개의 가설을 제시하였다. 중국 7개 지역 자동차 제조기업의 경영자 및 종업원을 대상으로 설문조사를 실시한 결과 공급망의 디지털 전환이 공급망 동적 역량의 영향을 받아, 자동차 제조기업의 환경성과를 향상시키는 데에 영향이 있는 것으로 나타났다.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.249-257
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• 2024

As the main driver of economic growth and employment, the agricultural sector plays an important role in Vietnam's economy. However, in recent years, the sector has faced new challenges and also presented new investment opportunities to stimulate agricultural growth. Many Vietnamese agricultural producers currently lack the modern technology and decision support tools needed to maintain and improve productivity in a rapidly changing environment. Other stakeholders in the agricultural value chain, such as input suppliers, distributors, and consumers, also face significant challenges, including disrupted value chains, transportation costs. The cost of transporting goods across the supply chain continues to increase and information exchange remains fragmented. A potential solution to address these challenges is the application of digital transformation in agricultural supply chains. Farmers and other value chain participants can improve the production of their goods and procedures by utilizing new and cutting-edge technologies that are integrated into a unified system as part of the digital transformation of agricultural supply chains. In this study, we evaluate the current status of digital transformation in the supply chain of the agriculture industry by finding and examining pertinent publications from key agencies as well as prior research. From there, in the framework of the digital economy, this study suggests a digital transformation roadmap for the agricultural supply chain.

• 유통과학연구
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• 제22권9호
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• pp.27-38
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• 2024

Purpose: Sustainable economic growth is a top priority for any country, and inflation is crucial in determining future economic circumstances. Few research exists regarding the impacts of risk management practices on performance outcomes in the supply chain with the mediating role of inflation rate. Hence, this study investigates the important role of risk management practices in the context of high inflation rate. Research design, data and methodology: The PLS-SEM model is applied to identify the effects of risk management practices on operational performance and supply chain performance. The author distributed online and offline surveys to administrators at various businesses. After applying the filtration criteria, 309 responses were retained for further data analysis. Results: This research demonstrates that risk management practice is critical and adds to supply chain performance success. Managers should enhance all risk management procedures to regulate and manage hazards in the supply chain. This allows managers to anticipate and identify potential threats with ease, particularly in high inflation rate situation. Conclusions: The outcomes of this study demonstrate how fully implemented risk management practices can improve operational performance and supply chain performance, as well as control the impact of inflation rate.