• International conference on construction engineering and project management
• /
• 2011.02a
• /
• pp.52-57
• /
• 2011

Bridges are essential and valuable elements in road and rail transportation networks. Bridge remediation is a top priority for asset managers, but identifying the nature of true defect deterioration and associated remediation treatments remains a complex task. Nowadays Decision Support Systems (DSS) are used extensively to assist in decision-making across a wide spectrum of unstructured decision environments. In this paper a requirements-driven framework is used to develop a risk based decision support model which has the ability to quantify the bridge condition and find the best remediation treatments using Multi Attribute Utility Theory (MAUT), with the aim of maintaining a bridge within acceptable limits of safety, serviceability and sustainability.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.11 no.1
• /
• pp.37-45
• /
• 2015

As of June 2014, the rate of mobile internet users aged 6 and over is estimated at 98.3% (up by 2.8%p from the previous year). The vast majority of the teens (99.7%), the 20s (99.8%), the 30s (99.8%), and the 40s (98.1%) answer they use the smart phone. The existing notice methods have utilized noticeboard in the apartment. It is difficult to support real-time notice. The App has a merit to be accessed in anywhere, so that it is quite suitable for services requiring real-time support. This paper describes a development of apartmenrt notice and decision-making service using smart phone. We study previous researches about apartmenrt notice Apps. Then, we described the notice flow diagram and decision-making flow diagram. Apt admin sends the important notice message to residents using apt notice app in real-time. Apt admin writes the decision item in the admin web site. It pushes decision item to residents using apt notice app in real-time. The residents vote and send it to Apt admin. Apt admin counts the votes and send the collect the vote result to to residents.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.3
• /
• pp.43-54
• /
• 2010

As Urban Regeneration is being carried out, stakeholders are most likely to have disagreements on their interests. Besides, dispersion of numerous communication routes and obscure decision processes aggravate the situation. Eventually, fragmented decision-making processes and complex structure lead to inefficient outcome and delay of projects. This paper is a study on decision-making support not only helps the program manager have more efficient and optimum decision, but also provides alternatives for Urban Regeneration. This study is conducted as follows. Firstly, the project process and the decision-making structure among stakeholders in Urban Regeneration are analyzed, and then the current status of decision-making in Urban Regeneration project is classified. Secondly, with literature study on "Gateway Review", the decision-making gateway review process in Urban Regeneration is defined, and then the "Gateway Review Elements" are listed. Thirdly, to establish gateway review process, this paper presents a check points, namely gate which supports a program manager to monitor and to control the program management in Urban Regeneration. Each gate has several supporting tools such as diagram of critical decision points relation, scheme of stakeholder, checklist. Fourthly, the proposed concept is verified by experts who have been carefully selected to provide their respective reviews. Finally, decision-making support gateway review system is modified based on their critiques and suggestions.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.1
• /
• pp.129-139
• /
• 2012

It is one of the most important decision making problems to select the adequate foundation practice for the downtown construction project. However the foundation practice has not been selected systematically yet by considering various construction field conditions in many projects. The foundation practice is often informally selected on the basis of only past experiences and skilled engineer's opinion. For making the selection process systematically, in this study, we propose a decision support system (DSS) for selecting foundation practices based on the Analytic Hierarchy Process (AHP) and the Preference Function (PF). In the proposed DSS, the AHP is used for making the selection process more reasonable and the PF is used for considering the decision maker's preference. To validate the proposed DSS, we apply the proposed DSS to the pre-performed construction projects. The application results show that the proposed DSS gives the same foundation practices with the implemented foundation practices that the skilled foundation engineers select after carefully analyzing construction field conditions. The proposed DSS can be used as a useful tool for making decisions to select the foundation practice in the construction fields.

• Journal of Korean Academy of Nursing
• /
• v.48 no.5
• /
• pp.578-587
• /
• 2018

Purpose: This study aimed to understand the mechanisms of decision regret and stress of family surrogates' end-of-life decision making using an exploratory path model. In particular, the research identified the direct effects of perceptions of uncertainty and effective decisions on decision regret and stress, and examined the indirect effects of being informed, having clear values, and being supported for decision regret and the stress of end-of-life decision making through the mediating variables of perceptions of uncertainty and effective decisions. Methods: Data were collected from 102 family surrogates who had participated in end-of-life decision making for patients with terminal cancer in a tertiary hospital. Results: Perception of effective decisions was a significant direct predictor of decision regret, and uncertainty was a significant predictor of stress among the participants. Being informed, having clear values, and being supported had a significant indirect influence on decision regret through the perception of effective decisions among family surrogates. However, only having clear values had a significant indirect influence on stress through the perception of uncertainty. The model explained 63.0% of decision regret and 20.0% of stress among the participants and showed a good fit with the data, ${\chi}^2=12.40$ (df=8, p=.134), TLI=.97, and RMSEA=.07. Conclusion: Nurses can support family surrogates in end-of-life decision-making processes to decrease their decision regret by providing information about end-of-life care choices, clarifying personal values, and supporting the decision-making process, and to relieve their stress by facilitating the clarification of personal values.

• Korean Management Science Review
• /
• v.17 no.2
• /
• pp.21-37
• /
• 2000

This study proposes a Web Decision Support System (DSS) as a new approach to resolving conflicts arising at the interface of production and marketing which have traditionally been in conflict with each other. Many researchers studied on the types and resolution mechanisms of conflicts among various organizations and organizational units. However, as global and distributed operations of firms based on the Internet become a commonplace business landscape, these conflict resolution mechanisms are found very difficult to be directly applied. From this perspective, the Web DSS proposed in this study can be claimed to be appropriate for the Internet-based distributed business operations. The current related literature on the production-marketing interface shows that the possible use of the Web DSS approaches has little been studied in spite of the decent amount of research conducted on the coordination of decision making between the two functions. This paper develops the architecture of the Web DSS and demonstrates its effectiveness based on the implementation results.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.49-58
• /
• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.

• Journal of Digital Convergence
• /
• v.11 no.4
• /
• pp.251-258
• /
• 2013

Recently companies are confronted with a much more sophisticated business environment than before and at the same time have to be able to adapt to rapid changes. Accordingly, the need for selecting among alternatives and managing systematic decision-making has been steadily increasing to respond to a more diverse customer needs and keep up with the fierce competition. In this study, we propose a framework that consist of problem solving procedures and techniques and knowledge structure built on processes to support strategic decision making. and discuss how to utilize simulation tools as the knowledge-based problem solving tools. In addition we discuss how to build and advance the knowledge structure to implement the proposed architecture. Management decision support systems architecture consist of three key factors. The first is Problem Solving Approach which is used as reference. The second is knowledge structure on business processes that includes standard and reference business processes. The third is simulators that are able to generate and analyze alternatives using problem solving techniques and knowledge base. In sum, the proposed framework of decision-making support systems facilitates knowledge-intensive consulting processes to promote the development and application of consulting knowledge and techniques and increase the efficiency of consulting firms and industry.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2003.04a
• /
• pp.500-509
• /
• 2003

A land-speculation is to occur on a space. A purpose of this study interprets land speculation in a viewpoint of spatial, and to carry out effective decision-making about areas that land-speculation can be arise At the time of this, the focus of spatial interpretation Is recognition of a spatial continuity and consideration of a spatial association. In this study, I used fuzzy sets in order to recognize spatial continuity and. therefore a value in 0-1 was granted all area. And in order to consider spatial associations. carried out a local spatial association (Local Moran's I). Also. I introduced the spatial expert support systems (SESS) one of the computer-based decision support systems to dr efficient decision-making about a land-speculation in an object area. After that, as a case study I carried out decision-making about land-speculation's occurrence in the Seoul-Kyeonggi (2/4 quarter in 2001)

• Asia pacific journal of information systems
• /
• v.13 no.2
• /
• pp.105-117
• /
• 2003

As E-commerce is getting more popular, consumers faces more decision complexity than ever before because they can get greater alternative choices. Futhermore, consumers are sometimes motivated to expand effort in making a good decision in the case of relatively important and non-routine decison, such as buying a house or car. Thus, a buying decision support function is required to help consumers make decisions that have the greatest effects on consumer's lives. We develop a propotype system of a web-based buying decision support system for a cyber shopping mall. A buying decision of a consumer is a multi-attribute decision problem and is supported using analytic hierarchy process model. The system was implemented using HTML, Java, Java applet, JSP.