• Journal of Ocean Engineering and Technology
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• v.17 no.4
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• pp.81-85
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• 2003

The industry has undergone a significant change over the last decade: digital business has become a strategy to survive; the extended enterprise is being implemented; parts are made where conditions are most favourable; non-core activities are out-sourced; advanced manufacturing systems and information technologies are introduced to improve manufacturing performance. Suppliers and distributors become part of the supply chain and they all comprise an integrated international co-operative network to provide manufactured goods and support services for a world market just in time, at low prices and with quality surpassing customers' expectations. In this paper, we review various state-of-the-art information technologies for the shipbuilding industry. The successful introduction and implementation of those technologies will be the key enabler for e-transformation in the shipbuilding industry.

• Journal of Korea Trade
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• v.26 no.2
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• pp.84-99
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• 2022

Purpose - This study carried out an empirical study of the impact of sustainability - which has been gaining attention as challenges are arising in supply chains based on existing trade networks due to the impact of the COVID-19 pandemic - on SCM performance and financial performance of Korean SMEs. The study seeks to propose a measurement model to enhance the SCM performance and financial performance of Korean SMEs and to identify the relationship between sustainability, SCM performance and financial performance to suggest implications to SMEs, governments, and relevant organizations. Design/methodology - Our Analysis established hypotheses that economic sustainability, environmental sustainability, and other factors related to sustainability have a positive impact on SCM performance and financial performance as well as SCM performance has a positive impact on financial performance, making empirical validations by utilizing Structural Equation Modeling based on data collected through survey from Korean SMEs. Findings - According to an empirical study, although environmental sustainability and economic sustainability among factors of sustainability had a positive influence on SCM performance, social sustainability did not have a statistically significant influence. Furthermore, it was learned that only economic sustainability had a positive influence on financial performance while SCM performance has a positive influence on financial performance. Originality/value - This empirical study explored the relationship between SCM performance and financial performance of Korean SMEs with a high tendency to depend on specific supply chains when the international trade network is in confusion and/or the global supply chain has collapsed. If Korean SMEs allocate management resources to the factors deducted from this study, they would be able to build more efficient supply chains and improve financial performance to improve sustainability.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.222-229
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• 2002

A value net is a business design that uses digital supply chain concepts to achieve both superior customer satisfaction and company profitability. In order to implement the value net model, information processing and distribution needs to occur in real time. Software agent technology is becoming popular due to the inherent characteristics of autonomy, distributedness and modularity. In this paper, we adopt agent technology to handle all real time decision process, making the value net model a complex multi-agent network of decision makers. For the agents to properly coordinate their respective activities we develop MAVN model, a Web-based multi-agent language grounded in the XML and Java.

• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.67-77
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• 2005

Logistics network of the enterprise is defined to determine the optimal node and link considering the production, inventory and transportation based on the demand forecasting. This study consider the optimal logistics network of A painter company which maintain the existing transportation network and plan to relocate its plants and build new distribution centers. For this, we design possible alternative scenarios and install the simulation models for analysis of each scenario. The result of simulation will help the proper logistic network and determining the size of distribution center further.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1859-1864
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• 2004

An effective methodology is reported for the optimal design of multisite batch production/transportation and storage networks under uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, internally consumed, transported to or from other plant sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between plant sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sizes while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of large-scale supply chain system.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.6
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• pp.537-544
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• 2004

An effective methodology is reported for determining the optimal lot size of batch processing and storage networks which include uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, infernally consumed, transported to or from other sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sires while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of the global supply chain.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.5
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• pp.476-480
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• 2010

This study deals with stockout costs in the supply chain optimization model under the framework of batch-storage network. Stockout is very popular in chemical industries. Estimating stockout cost involves an understanding of customer reactions to a seller being out of stock at the time the customer wants to buy an item. This involves massively non-trivial work such as direct customer interviews and extensive mail survey. In this study, we will introduce a new interpretation of stockout costs combined with batchstorage network optimization model and thus suggest an easy way of estimating stockout costs. Optimization model suggest that optimal process and storage sizes considering stockout cost are smaller than those that do not consider stockout cost. An illustrative example support the analytical results.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.9
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• pp.854-862
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• 2012

The optimal design of batch-storage network by using periodic square wave model provides analytical lot sizing equations for a complex supply chain network characterized as multi-supplier, multi-product, multi-stage, non-serial, multi-customer, cyclic system including recycling and/or remanufacturing. The network structure includes multiple currency flows as well as material flows. The processes are represented by multiple feedstock/product materials with fixed composition which are very suitable for production processes. In this study, transportation processes that carry multiple materials with unknown composition are added and the time frame is changed from single period into multiple periods in order to represent nonperiodic parameter variations. The objective function of the optimization involves minimizing the opportunity costs of annualized capital investments and currency/material inventories minus the benefit to stockholders in the numeraire currency. The expressions for the Kuhn-Tucker conditions of the optimization problem are reduced to a multiperiod subproblem for average flow rates and analytical lot-sizing equations. The multiperiod lot sizing equations are different from single period ones. The effects of corporate income taxes, interest rates and exchange rates are incorporated.

• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.263-270
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• 2008

Research of ubiquitous computing becomes more popular topic along with the rapid development of wireless technologies. Firstly, research and development on RFID focuses on manufacturing and retail sectors, because it can improve supply chain efficiency. But, it changes to USN (Ubiquitous Sensor Network) by adding a sensor and wireless network technologies on it. In this research, we design and implement the electric facility management service framework to collect real time information of electric facility using RFID/USN. In electric power industry, it is important the supply of energy must be guaranteed. So many power utilities control and supervise the transmission line to avoid power failures. Utilities install many types of sensor to monitor important facilities by wired network such as optical cable and PLC. In this research, we develop the sensor node which is small, easy to install and using wired network. We design the service framework for electric facility management to collect data using RFID tag, reader and wireless sensor nodes and implement the electric facility management service.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.1-9
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• 2023

Purpose: The industrial sector, especially in developed countries, is seen as the primary threat to sustainability. As a result, contemporary organizations prioritize establishing sustainable business practices. This sustainability can be achieved by organizations being concerned with their external environments, which is referred to as going green. This study aims to provide a green logistics network design to explain how to attract green consumers. Research design, data and methodology: This study conducted a comprehensive process to obtain textual dataset in the current literature and finally the author could collect total 26 relevant prior studies to achieve the purpose of the study. All dataset was thoroughly screened and selected for the high-degree of validity. Results: Based on the intensive literature review, the author insists that the four findings presented in this study will be useful as they provide evidence of the importance of technology in achieving global sustainability.in the situation we face that technology has become an important part of human life. Conclusions: This study provides meaningful insights into the environmental strategies that organizations across the world can implement to achieve a green supply chain based on the solutions in this study. The strategies presented in this study are evidence-based and have been tested through different studies.