• Journal of Korean Institute of Industrial Engineers
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• v.31 no.3
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• pp.201-209
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• 2005

Empty moves are necessary when there are imbalances among transportation demands from source locations to destination locations and the transportation demands require empty equipment that must be supplied to source locations. When the amount of the inflow exceeds that of the outflow or the amount of the outflow exceeds that of the inflow, repositioning empty equipment is necessary. Examples of the empty equipment are containers, chassis, and pallets. This paper addresses how to estimate the empty moves on several typical transportation networks. Types of transportation networks considered are chain, tree, cycle, tree of cycles, and hybrid networks. Simple procedures are suggested for determining the optimal empty flows. Numerical examples are provided to illustrate procedures in this paper.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.47-55
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• 2006

This study is to provide information in the development of energy conservation technologies by means of technological demand survey covering energy market and industrial field among energy-related technologies. For this purpose, we check both the present state of energy technologies and trends of social change in Korea, and then combine social needs with major, bottleneck, and essential technologies required for the future. The range of this study covers the field of industry, kiln, furnace, metal, building, transport, and electricity. For case study, valid 120 companies among the 500 companies selected randomly in the energy data-base of Korea institute of energy research (KIER) are considered.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.10a
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• pp.73-78
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• 2008

This paper predicts the future power demands of Gaesung industrial complex. Power flow and voltage dynamics are shown and an efficient method for supplying the electric power to Gaesung industrial complex is proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.127-139
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• 2021

This study investigates business demands for firms operating in the Busan Sasang Industrial Area for the proposed knowledge-industry innovation base. Diverse improvement arrangements are proposed for revitalization of the industrial area. For these purposes, a questionnaire survey was conducted for the examination of physical conditions and enterprise demands among firms. The major findings are as follows. Firstly, judging from the examination of physical conditions, the study area has presented a lower rate of roads and smaller individual lots of land, which would contribute to a worsening business environment for small business owners. Secondly, business request for industrial-area innovation, pilot project needs, and expected impacts demonstrated higher scores. Thirdly, an absolute majority of firms strongly supported the proposed knowledge-industry innovation base and requested an R&D center as the first anchor facility. Based on these findings, guidelines are proposed for an institutional rearrangement plan. First of all, specific field surveys dealing with networking issues and industrial dominance should be immediately carried out. In addition, the proposed knowledge-industry innovation base should be equipped with significant power of influence for the adjacent industrial areas. Lastly, major stakeholders should upgrade the cooperative mechanism for innovative change in the regional industrial complex.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.159-168
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• 2015

Aggregate Production Planning determines levels of production, human resources, inventory to maximize company's profits and fulfill customer's demands based on demand forecasts. Since performance of aggregate production planning heavily depends on accuracy of given forecasting demands, choosing an accurate forecasting method should be antecedent for achieving a good aggregate production planning. Generally, typical forecasting error metrics such as MSE (Mean Squared Error), MAD (Mean Absolute Deviation), MAPE (Mean Absolute Percentage Error), and CFE (Cumulated Forecast Error) are utilized to choose a proper forecasting method for an aggregate production planning. However, these metrics are designed only to measure a difference between real and forecast demands and they are not able to consider any results such as increasing cost or decreasing profit caused by forecasting error. Consequently, the traditional metrics fail to give enough explanation to select a good forecasting method in aggregate production planning. To overcome this limitation of typical metrics for forecasting method this study suggests a new metric, WACFE (Weighted Absolute and Cumulative Forecast Error), to evaluate forecasting methods. Basically, the WACFE is designed to consider not only forecasting errors but also costs which the errors might cause in for Aggregate Production Planning. The WACFE is a product sum of cumulative forecasting error and weight factors for backorder and inventory costs. We demonstrate the effectiveness of the proposed metric by conducting intensive experiments with demand data sets from M3-competition. Finally, we showed that the WACFE provides a higher correlation with the total cost than other metrics and, consequently, is a better performance in selection of forecasting methods for aggregate production planning.

• International Journal of Quality Innovation
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• v.7 no.2
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• pp.19-49
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• 2006

Due to the globoal economic effect, Taiwan's small and medium-sized enterprise (SME) is much threatened by China. Since remarkable advances have being made in information technology, taking competition advantage for an enterprise has become a very important issue when facing rigorous global competition. However, the business of the enterprise starts with finding the customers' demands, and ends with fulfilling customers' demands. Therefore, in order to increase competition advantage for SME, the customer management must be effectively strengthened, especially by increasing customer satisfaction and maintaining good relationship with the customer. This is the key for an enterprise leading to success. The purpose of this study is aiming to discussing the relational analysis between customer and SME by viewing the four aspects of customer relationship management (CRM), which are relation marketing, customer service, customer value, and customer satisfaction. Moreover, this research will perform an empirical analysis on CRM for a typical small and medium-sized company so as to grasp its real definition and enterprises' demands. The conclusions will be drawn from our literature survey and practical experience as well as site investigation. Recommendations are evolved from discussing the interaction between customers and enterprises in improving their constructing factors and increasing benefits and values.

• IE interfaces
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• v.10 no.2
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• pp.91-97
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• 1997

A mass production system was implemented to reduce a manufacturing cost in a way of copying with a strong world market competition. However customer's demands are changing so rapidly and the mass production system is no longer competitive to meet the demands. FMS(Flexible Manufacturing System) has been introduced as a replacement for the mass production system, but it still does not meet system's requirements. A new manufacturing system, called a holonic manufacturing system (HMS), is emerging. This paper is giving a first approach of a HMS for a multirobot cooperative process.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.133-136
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• 2006

We consider dynamic lot-sizing model with production time windows where each of n demands has earliest due date and latest due date and it must be satisfied during the given time window. For the case of nonspeculative cost structure, an O(nlog n) time procedure is developed and it is shown to run in O(n) when demands come in the order of latest due dates.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.228-238
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• 2009

This paper first presents two supply chain design problems: 1) a factory location setting and factory selection problem, and 2) a factory location setting and factory/supplier selection problem. The first involves a number of location known retailers choosing one factory to supply their demands from a number of factories whose locations are to be determined. The goal is to minimize the transportation and manufacturing cost to satisfy the demands. The problem is then augmented into the second problem, where the procurement cost of the raw materials from a chosen material supplier (from a number of suppliers) is considered for each factory. Economic beneficial is taken into account in the cost evaluation. Therefore, the partner selections will influence the cost of the supply chain significantly. To solve these problems, an agent gaming and genetic algorithm hybrid method (AGGAHM) is proposed. The AGGAHM consecutively and alternatively enable and disable the advancement of agent gaming and the evolution of genetic computation. Computation results on solving a number of examples by the AGGAHM were compared with those from methods of a general genetic algorithm and a mutual frozen genetic algorithm. Results showed that the AGGAHM outperforms the methods solely using genetic algorithms. In addition, various parameter settings are tested and discussed to facilitate the supply chain designs.

• Journal of KIISE
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• v.44 no.12
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• pp.1307-1312
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• 2017

Due to their convergence with state-of-the-art ICT technologies, the complexity and reliability demands of industrial automation systems have been rapidly increasing. In recent years, to cope with these demands, several research works have been carried out to adopt formal methods to the application development cycle at the early design stage. In this paper, we propose an automated code generation framework for industrial automation applications, based on a timed automata model. As a case study, we developed a formal model for a traffic light control system and verified the timing properties described in the specification. We finally demonstrated that the operation of a test-bed based on the auto-generated native code was identical to that of the model specification.