• Journal of Korean Institute of Industrial Engineers
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• v.24 no.1
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• pp.11-21
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• 1998

Holonic manufacturing systems have been recently presented to meet the various needs of customer rapidly. Holonic manufacturing systems consist of several holons which may perform decision making for the achievement of their objectives. Holonic manufacturing systems are characterized by cooperation and negotiation among holons. The problem of conflict can be occurred during communication between holons. Then the negotiation is required for the holons. This paper deals with a mathematical model for the mediation of negotiation between holons in the holonic manufacturing systems. In this paper an evaluation function for mediation is modeled using the utility function.

• Proceedings of the Technology Innovation Conference
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• 2001.06a
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• pp.61-70
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• 2001

Cross impact relationships exist among technologies. The purpose of this study is to develop a Cross Impact-based Technology Valuation Model necessary for evaluating the value of interdependent technology. For this purpose, cross impact relationships among interdependent technologies within specific technological system are analyzed by using Fuzzy Structural Modeling(FSM) Method. The model developed in this study will be a useful means of strategic decision making for companies which transact technologies.

• Journal of KIBIM
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• v.4 no.2
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• pp.10-16
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• 2014

Interoperability in the BIM construction information is the information management technology, which allows user to control and effectively use construction's lots of information that occur and disappear through construction life cycle. And it is information interchange through accurate and rapid decision-making to get the participants' wanted value. In this study, we will present plan to improve productivity and quality through effective BIM operation. And we will present improvement plan after deduce existing process's problem.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.1-17
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• 2011

In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

• The Journal of Information Systems
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• v.17 no.3
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• pp.205-233
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• 2008

This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

• Journal of the Korea Institute of Building Construction
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• v.23 no.1
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• pp.57-68
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• 2023

To maintain the normal function of an aging building, regular inspection, repair, and reinforcement must be performed. However, the form of information and decision-making generated in the current building maintenance stage still depends on inefficient methods. This causes an increase in cost and waste of time in building maintenance. Therefore, this study proposed a COBie-IM document for building inspection and maintenance information management by benchmarking COBie, and suggested a method of checking information by linking it with BIM. In addition, a method for visualizing the designation of colors according to the damage grade of defects occurring in the building was suggested. Through this, we are able to systematically integrate and manage the information generated during inspection and maintenance in the building maintenance stage. This is expected to increase work efficiency by supporting decision-making that determines the priority of repair and reinforcement for defects.

• Journal of Environmental Impact Assessment
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• v.12 no.1
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• pp.23-34
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• 2003

The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management), NIER (National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals for the environmental decision support in case of accidents at chemical or petroleum companies in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduced the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.2
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• pp.32-39
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• 2015

Airport is not only a public facility but a place where multiple cultural and ethnic groups are visiting. It has been reported though several researches that the level of emotional labor is more heavier than any other job. The more complex our society become, the more frequently emotional labor has been focused. Emotional labor became recently the issue of integrated studies above. Considering the level of emotional labor of airport employees, this paper believes their emotional labor has not been focused compared to such as tourism and service industry. This paper tried to research empirically the impact of internal marketing on airport employees' customer-oriented attitude based on their emotional labor using SEM (Structural Equation Modeling). According to the SEM results, it was proven that 'Autonomy of Airport Employee', a latent variable of internal marketing has a significant negative effect on employees' outside emotion. The outside emotion has also a significant effect on their customer-oriented attitude. It could be concluded the effort to increase decision making authority of employees should be implemented to provide them with deeper customer oriented insight.

• International journal of advanced smart convergence
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• v.2 no.1
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• pp.36-41
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• 2013

Decision-making is to extract information that can be executed in the future, it refers to the process of discovering a new data model that is induced in the data. In other words, it is to find out the information to peel off to find the vein to catch the relationship between the hidden patterns in data. The information found here, is a process of finding the relationship between the useful patterns by applying modeling techniques and sophisticated statistical analysis of the data. It is called data mining which is a key technology for marketing database. Therefore, research for cluster analysis of the current is performed actively, which is capable of extracting information on the basis of the large data set without a clear criterion. The EM and K-means methods are used a lot in particular, how the result values of evaluating are come out in experiments, which are depending on the size of the data by the type of distance-based and probability-based data analysis.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.728-729
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• 2015

As environmental issues have been increased globally, eco-friendliness in the construction area, which accounts for more than 30% of total GHG gas emission has being urged. In response, the Korean government has implemented G-SEED(Green Standard for Energy and Environmental Design) certification from 2002. However, total number of certified apartment buildings is only around 1% of total number of approved apartment buildings. As a basic research to find out reasons of low rate of the certification, this paper analyzes consumers' decision-making process in G-SEED certified apartment building market comparing to non G-SEED certified one and draw System Dynamics modeling based on causal relationship. As a result, consumers' demand for the certified one is increased by 'Perceived Relative Utility' which is resulted from comparison process with non-certified one. The 'Perceived Relative Utility' is ascended upward steadily by 'Relative Perceived Price' considered as relatively short-term effect and 'Favorable Image of Certified Housing' referred to long-term effect.