• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.813-818
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• 2007

Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

• Information and Communications Magazine
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• v.29 no.7
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• pp.89-96
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• 2012

정보통신공사의 공사비 산정은 그동안 원가계산 방식으로 이루어져 왔으나, 최근 들어 건설 및 전기분야에서와 같이 실적공사비를 활용할 수 있도록 제도 시행을 추진하고 있다. 그러나 실적공사비를 적용하기 위해서는 과거 공사비 실적자료를 현가화 할 수 있는 지수의 개발이 전제되어야 함에도, 그동안 정보통신공사는 한국건설기술연구원의 통신공사비지수(기타 특수건설의 최하위지수)나 한국은행의 생산지물가지수를 이용할 수밖에 없는 한계를 지니고 있었다. 이에 본 연구에서는 실적적산 데이터를 기반으로 정보통신공사의 특성을 고려한 정보통신공사비지수를 제시하고자 한다. 개발된 지수는 실적공사비 자료의 현가화 뿐 아니라, 물가변동에 따른 계약단가 조정(Escalation), 정보통신분야의 거시적인 동향을 파악할 수 있는 주요 지표로 정보통신공사의 사업비산정 및 관련 분야의 기초자료로 활용될 수 있다.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.150-157
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• 2012

This study examined the differences in research capability among engineering fields using the data of research support organizations involving National Research Foundation of Korea(NRF), SCI Korean Council for University Education (KCUE) and so on. The findings of the study confirm that there are statistically significant differences in research capability among selected engineering fields, and provide implications for university administrators and academic policy-makers to adopt discriminative evaluation tools for performance evaluation of university faculties in consideration of their engineering fields.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.67-73
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• 2010

The results of VE (Value Engineering) analyses are highly feasible proposals that are produced by utilizing the experience and knowledge of professionals from a variety of fields. As such, the results of past similar projects can be useful in new projects. On this basis, it is vital to accumulate the historical data of the results on VE analyses performed at every stage, which are functions, ideas, and proposals. In this research, a data formational system for collecting this historic data was established by categorizing 'Item,' 'Function,' 'Idea,' and 'Proposal' according to VE process, and the data retrieval and the adjusting process were proposed. If the historic data of these are accumulated using the suggested method, it is expected to be useful at the stage of VE process.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.127-137
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• 2006

Productivity is important to evaluate an efficiency of performed work and organization in construction industry. The productivity should be defined as activity level rather than macro level in order to effectively use productivity data and manage a project. The primary objective of this study is to develop a construction productivity management system using data warehouse, OLAP and data mining technologies which enables to easily accumulate the construction productivity data and perform multi layer analysis. Finally, it is anticipated that the effective use of the developed system would be able to measure the result of project and make a plan of the similar project with reliability.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.1
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• pp.39-45
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• 2011

The processes for manufacturing a product differ depending on the characteristics of the product, and the information used or generated by the processes also varies. To implement a flexible and configurable Manufacturing Execution System (MES), a Data Acquisition System (DAS) that takes into consideration the characteristics of the manufacturing system is required. In this study, we design an information acquisition system that can process the information on equipments of a shop floor in real-time and that is adaptive to the changes in the shop floor. The system has a data parser module for flexible processing of the equipment status, a data mapper module to link the equipment status with a manufacturing process, and an SOA-based data integration module to transmit the processed information to other information systems such as MES and ERP. From the results of pilot study, its maintenance is easy even if new equipment or new manufacturing processes are adopted or if the equipments are rearranged.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.498-503
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• 2002

Connecting with cost, schedule, and quality in a construction project, resource management is one of the essential management elements. However, the material requirement planning is built at the beginning stage of construction and needs various concerned factors, it is limited to build the resource management planning on enterprise level. The disconnected communication among managements makes impossible to control historical data. In the construction project control system, the core of management elements is to manage cost and schedule information, therefore material requirement planning should be established based on historical data about EVM which is intergating schedule and cost. In this study, a resource management system concerning material requirement planning and attribute of procurement is suggested by connecting the historical data of EVM and the material requirement planning.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.83-90
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• 2002

Actual construction data are unsystematically handled and uselessly hoarded after completion of the project although actual construction data can be applied to the various works of the future projects. Many researches have been carried out by several engineers and scholars of construction firms and research institutes, but the level of the application is not plausible yet. The objective of this paper is to propose a web-based data model and application system for commercial buildings in order to enhance the usability of the actual construction data on line. The principal factors of commercial building project data and the user$^{\circ}{\phi}s$ requirements in various areas, such as planning, design, procurement and construction and so on are analyzed to implement the database structure of the proposed system. The application of resource Information focused on cost, manpower, equipment is included in the system, which is expected to enhances the usability of actual database application system compared with other researches proposed so far.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.369-372
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• 2001

The processes for verification of performance records in construction have many problems according to construction firm's participating in some of the processes. This study analyzed about current processes and provided improved processes with IDEF method. As the result of this study, it was found that 'As-Is' model has many repetition of activities and 'To-Be' model has three times more effective than 'As-Is' model has. The data modeling which is available for 'To-Be' model was also suggested.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.103-116
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• 2008

Efficiency and objectiveness are the most critical issues in the evaluation of software projects. It is beneficial not only to software companies participated in bids, but to administrators of projects. This study attempts to find an improvement in the evaluation process by connecting the historical data of bidding companies in the software company report system with the governmental procurement system. The proposed means will eliminate unnecessary and repetitive submission step of bidding companies and provide the administrator with objective evaluation process. Also, this paper proposes an automated process for quantifying the business experience of bidding companies.