• Industrial Engineering and Management Systems
• /
• v.14 no.4
• /
• pp.379-391
• /
• 2015

Several risk assessment techniques have been presented and investigated in previous research, focusing mainly on the failure mode and effect analysis (FMEA). FMEA can be employed to determine where failures can occur within industrial systems and to assess the impact of such failures. This research proposes a novel methodology for hazard analysis and risk assessments that integrates FMEA with the bow-tie model. The proposed method has been applied and evaluated in a real industrial process, illustrating the effectiveness of the proposed method. Specifically, the bowtie diagram of the critical equipment in the adopted plant in the case study was built. Safety critical barriers are identified and each of these is assigned to industrial process with an individual responsible. The detection rating to the failure mode and the values of risk priority number (RPN) are calculated. The analysis shows the high values of RPN are 500 and 490 in this process. A global corrective actions are suggested to improve the RPN measure. Further managerial insights have been provided.

• International conference on construction engineering and project management
• /
• 2005.10a
• /
• pp.515-519
• /
• 2005

Most information within a construction project roots in drawings and contract documents. Although several methodologies, such as A/E/C and 4D, have employed such a peculiarity to integrate project information, they failed to integrate information in terms of efficiency and consistency. In this research, a MD (Multi-Dimensional) CAD model is developed to improve the process of integrating information for construction projects. This research describes the processes of creating MD CAD objects and embedding information required throughout the project life cycle within MD CAD building components. In addition, a case study is presented to show the efficiency and effectiveness of using MDIIS (Multi-Dimensional Information Integration System) to integrate information for construction projects.

• Asian Journal of Innovation and Policy
• /
• v.12 no.3
• /
• pp.383-400
• /
• 2023

This research focuses on examining the mobilization of Public Procurement for Innovation (PPI) in South Korea as a case study in technology innovation. By using the lens of policy mobility and qualitative research methodologies, it emphasizes the circulation of PPI is an outcome of an assemblage of multiple actors who are responsible for the introduction of PPI. The Public Procurement Service in South Korea has actively sought to understand and adopt the concept of PPI from developed countries. This initiative has been localized under the umbrella of 'innovative technology and product.' Throughout the mobilization, a cadre of technocrats, the Innovation Procurement Competence Center plays a pivotal role, and particularly encourages Small and Medium Enterprises to bolster their export capabilities, resulting in a reciprocal circulation of policies and programs from South Korea to foreign countries as well as within intra-urban area. Consequently, the above findings, revealing the nuanced evolution of policy mobility in local contexts, hold practical significance as they provide valuable insights and lessons for urban studies.

• Journal of Preventive Medicine and Public Health
• /
• v.56 no.2
• /
• pp.100-110
• /
• 2023

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology's philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.13 no.1
• /
• pp.352-366
• /
• 2021

To decrease Europe's harmful emissions, the European Union aims to substantially increase its offshore wind energy capacity. To further develop offshore wind energy, investment in ever-larger construction vessels is necessary. However, this market is characterised by seemingly unpredictable growth of market demand, turbine capacity and distance from shore. Currently it is difficult to deal with such market uncertainty within the ship design process. This research aims to develop a method that is able to deal with market uncertainty in early ship design by increasing knowledge when design freedom is still high. The method uses uncertainty modelling prior to the requirement definition stage by performing global research into the market, and during the concept design stage by iteratively co-evolving the vessel design and business case in parallel. The method consists of three parts; simulating an expected market from data, modelling multiple vessel designs, and an uncertainty model that evaluates the performance of the vessels in the market. The case study into offshore wind foundation installation vessels showed that the method can provide valuable insight into the effect of ship parameters like main dimensions, crane size and ship speed on the performance in an uncertain market. These results were used to create a value robust design, which is capable of handling uncertainty without changes to the vessel. The developed method thus provides a way to deal with market uncertainty in the early ship design process.

• Journal of Korea Society of Industrial Information Systems
• /
• v.9 no.3
• /
• pp.19-31
• /
• 2004

The purpose of this study is to show a case integration of web programming with database using Visual InterDev as a conceptual client and Web Server as server, Through this case study, we can see how easily dynamic web database programming used in Internet and Interanet can be developed in one integrated design environment such as Visual InterDev eliminating the inconvenience of developing database file and web page separately. Some literature survey and experimental practices were done to provide future developers with the principles and methodologies of developing web database programing using Visual InterDev with much less coding efforts and more convenient and easy way compared to other web developing tools.

• International Commerce and Information Review
• /
• v.13 no.4
• /
• pp.81-100
• /
• 2011

With the smart device deployment, the interest in NFC technology is increasing. In this study, to be successful in NFC based business commercialization, we present main factors affecting success of NFC based e-commerce business model. To this end, we conduct NFC and business models, case study methodology through literature review. And then, we suggest representative NFC e-commerce business model cases, and practices that affect the success or failure of the six factors are derived Derived factors are based on inductive learning to apply the technology to create a case study table, and decision trees to bring it, NFC-based commerce business models need to be successful at the strategic implications are present.

• Journal of Engineering Education Research
• /
• v.24 no.2
• /
• pp.51-60
• /
• 2021

Although more than 15 years have passed since the introductory design courses were opened due to the introduction of engineering education certification in the civil engineering field, these courses have been operated somewhat unsatisfactorily compared to their importance as an introductory course for engineering design. This is partially because the quality of classes is affected by the instructor's individual ability due to the fact that a standard training plan for these courses has not been established so far. Therefore, in this paper, we try to present a reference model for the introductory design course by introducing a class operation case established through continuous improvement process over the last 10 years at Chungbuk National University. This case aims to cultivate students' problem solving and system design skills by carrying out projects to develop egg drop and wood bridge systems based on creative problem solving methodologies. As a result of a questionnaire survey conducted after the class, we found that students' problem solving and system design capabilities were improved significantly and there was a meaningful increase in level of interest and attention in civil engineering by taking this class.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.479-486
• /
• 2024

This study reviews the recently conducted case studies to explore the innovative integration of Artificial Intelligence (AI) and Machine Learning (ML) in the domain of building facility management and predictive maintenance. It systematically examines recent developments and applications of advanced computational methods, emphasizing their role in enhancing asset management accuracy, energy efficiency, and occupant comfort. The study investigates the implementation of various AI and ML techniques, such as regression methods, Artificial Neural Networks (ANNs), and deep learning models, demonstrating their utility in asset management. It also discusses the synergistic use of ML with domain-specific technologies such as Geographic Building Information Modeling (BIM), Information Systems (GIS), and Digital Twin (DT) technologies. Through a critical analysis of current trends and methodologies, the paper highlights the importance of algorithm selection based on data attributes and operational challenges in deploying sophisticated AI models. The findings underscore the transformative potential of AI and ML in facility management, offering insights into future research directions and the development of more effective, data-driven management strategies.

• Journal of Korean Society of Rural Planning
• /
• v.23 no.2
• /
• pp.19-28
• /
• 2017

While the significance and need of landscape assessment for rural area has been recognised, an appropriate method has not been established due to the lack of statutory ground and policy status in Korea. For that reason, current studies have been limited to dominantly amenity field survey in specific rural areas and stayed in academic. In particular, the majority of research on rural landscape amenity or character assessment methodologies so far has been attempted with quantitative processes. Such quantitative methods produced sometimes, heavily overlapped, conflicted, and not much meaningful characterisation and classification. Moreover, such results could not only have been reflected to policy implementation but provide vision for rural areas. Therefore, this study offers new facets for landscape character assessment methods through the lens of practitioners' qualitative survey methods and moreover, seek a policy implementation of newly developed methodologies. In order to carry out such analysis, the study employed a case study of England's Landscape Character Assessment and survey location was Gateshead Council, Northeast of England. The study suggests meaningful qualitative landscape character assessment method and review of its policy implementation.