• Journal of Integrative Natural Science
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• v.14 no.3
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• pp.107-115
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• 2021

The demand for traceability of meat and livestock supply chains is growing due to the high-profile incidents of hormonal contamination. E. coli, dioxin, BSE, and antibiotics have been recorded. In this paper, we present blockchain-based poultry information management system design and implementation using Hyperledger Fabric. The proposed system offers accurate, decentralized, immutable and consensus process that promote trust and transparency between stakeholders. The main tasks of the system include the recording of the information associated with poultry rearing (from a hatchery to a farm), status report of the farm activities on a monthly basis. The system can track movement of docks through the supply chain until delivery to the final consumer through the retail outlet. The ability to trace the source of livestock product through all the stages of rearing/production, processing and distribution is essential for ensuring food safety as recall of contaminated product can easily be done thereby increasing consumer confidence.

• Journal of Distribution Science
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• v.20 no.5
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• pp.105-117
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• 2022

Purpose: This research investigates ready-to-drink (RTD) coffee. Although the RTD coffee market is growing competitively, few studies have examined behavioral re-intention or repurchase intention in the context of this industry. Therefore, the objective of this study was to explore factors affecting the behavioral re-intention to purchase RTD coffee. Research design, data and methodology: Using the theory of planned behavior (TPB) as the underpinning theoretical framework, this study hypothesized that behavioral re-intention to purchase RTD coffee is influenced by the variables of the TPB and additional variables. A mixed-method research design was applied, starting with qualitative in-depth interviews and followed by a quantitative method. Data were collected using an online survey of coffee lovers. Multiple linear regression (MLR) was used to assess the hypothesized relationships in the proposed conceptual framework. Results: The results reveal that content sensory attribute beliefs are the strongest positive predictor of behavioral re-intention in Thailand, followed by perceived utilitarian value. In contrast, price signaling was negatively related to behavioral re-intention. Conclusions: The findings can help food and beverage companies to develop new coffee product lines to gain more market share, create integrated marketing communications to build brand awareness, and manage distribution channels and the supply chain.

• Transactions of the Korean hydrogen and new energy society
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• v.33 no.6
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• pp.623-635
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• 2022

As global warming accelerates, clean hydrogen production becomes more important to mitigate it. However, importing hydrogen is necessary for countries that have high energy demands but insufficient resources to produce clean hydrogen. In line with the trend, this study investigated both the economic and environmental viability of an overseas hydrogen supply chain between Australia and the Republic of Korea. Several possible methods of water electrolysis and hydrogen carriers are compared and effect of renewable electricity price on the cost of hydrogen production is evaluated.

• Korea Trade Review
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• v.47 no.5
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• pp.241-251
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• 2022

As a 4th industrial revolution technology, robots are changing the form of labor market and trade in Korea. In the future, changes in the international trade order are expected to move in the direction of shortening global supply chains and restricting trade between countries. Accordingly, reshoring of relocating overseas production facilities to Korea or near-shoring of relocating overseas production facilities to neighboring allies may expand. In this context, this study analyzed the impact of robot introduction on the domestic labor market and trade based on firm-level data. As a result of analysis based on the 'business activity data' accumulated from 2017 to 2019, the introduction of robot technology was analyzed to expand low-wage, low-skilled employment. Analysis on trade shows that the introduction of robots decreases exports and increases imports. In order to expand exports through the technology of the 4th industrial revolution, employment expansion and robot introduction should occur at the same time, rather than replacing the labor force with robots. In addition, it is thought that reshoring's goal of risk management can be achieved when a stable supply chain for imports of raw materials or essential goods, which are difficult to transfer to Korea, is established together.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.86-98
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• 2021

In this study, we developed a simulation model for supply chain management of Precast Concrete (PC) based construction. To this end, information on the Factory Production/Site Construction system was collected through literature review and field research, and based on this information, a simulation model was defined by describing the supply chain, entities, resources, and processes. Next, using the Arena simulation software, a simulation model for the PC supply chain was developed by setting model frameworks, data modules, flowchart modules, and animation modules. Finally, verification and validation were performed using five review methodologies such as model check, animation check, extreme value test, average value test, and actual case test to the developed model. As a result, it was found that the model adequately represented the flows and characteristics of the PC supply chain without any logical errors and provided accurate performance evaluation values for the target supply chains. It is expected that the proposed simulation model will faithfully play a role as a performance evaluation platform in the future for developing management techniques in order to optimally operate the PC supply chain.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.25-39
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• 2023

As the scope of supply chains expands globally, unpredictable risks continue to arise. The occurrence of these supply chain risks affects port cargo throughput and hinders port operation. In order to examine the impact of global supply chain risks on port container throughput, this study conducted an empirical analysis on the impact of variables such as the Global Supply Chain Pressure Index (GSCPI), Shanghai Container Freight Index (SCFI), Industrial Production Index, and Retail Sales Index on port traffic using the vector autoregressive(VAR) model. As a result of the analysis, the rise in GSCPI causes a short-term decrease in the throughput of Busan Port, but after a certain point, it acts as a factor increasing the throughput and affects it in the form of a wave. In addition, the industrial production index and the retail sales index were found to have no statistically significant effect on the throughput of Busan Port. In the case of SCFI, the effect was almost similar to that of GSCPI. The results of this study reveal how risks affect port cargo throughput in a situation where supply chain risks are gradually increasing, providing many implications for establishing port operation policies for future supply chain risks.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.37-52
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• 2011

Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.316-329
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• 2008

Recently the increased attention pays on the processing of multiple, relatively low quantity, high value-added products resulted in adoption of batch process in the chemical process industry such as pharmaceuticals, polymers, bio-chemicals and foods. As there are more possibilities of the improvement of operations in batch process than continuous processes, a lot of effort has been made to enhance the productivity and operability of batch processes. But the chemical process industry faces a range of uncertainties factors such as demands for products, prices of product, lead time for the supply of raw materials and in the production, and the distribution of product. And global competition has made it imperative for the process industries to manage their supply chains optimally. Supply chain management aims to integrate plants with their supplier and customers so that they can be managed as a single entity and coordinate all input/output flows (of materials, information) so that products are produced and distributed in the right quantities, to the right locations, and at the right time.The objective of this study is to solve the purchase, distribution, production planning and scheduling problem, which minimizes the total costs of production, inventory, and transportation under uncertainty. And development of SCM model in chemical industry including batch mode operations. Through that, the enterprise can respond to uncertainty. Also integrated process optimal planning and scheduling model for manufacturing supply chain. The result shows that, the advantage of supply chain integration are quality matters seen by customers and suppliers, order schedules, flexibility, cost reduction, and increase in sales and profits. Also, an integration of supply chain (production and distribution system) generates significant savings by trading off the costs associated with the whole, rather than minimizing supply chain costs separately.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.107-117
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• 2022

This study aims to examine the relationship between the economic, environmental and social activities of sustainable supply chains and the customer satisfaction and customer retention rate, which are the final results in the supplier's operational performance and the buyer's market performance. The survey was conducted on employees in charge of supply chain management, purchasing company, partner company, and logistics management in the company. The final 193 valid data were analyzed to verify the research hypothesis. The results of the study showed that the economic and social activities of the sustainable supply chain had a positive effect on the supplier performance and the purchaser performance, but environmental activities had a negative effect on the supplier performance. In addition, the purchasing company performance has a positive effect on customer satisfaction and customer retention rate. This study provides a theoretical basis for sustainable supply chain activities to affect the operating performance of suppliers and the market performance of buyers, and suggests implications for enhancing the competitiveness of companies through the performance creation process that affects customer performance.